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Modern Contraception and Anaemia Among Reproductive-age Women in India: Results From a Household Survey
Mihir Adhikary, Poulami Barman, Bharti Singh, Abhishek Anand
J Prev Med Public Health. 2024;57(4):339-346.   Published online June 19, 2024
DOI: https://doi.org/10.3961/jpmph.23.504
  • 9,420 View
  • 391 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Chronic anaemia is a significant health concern, particularly among women of childbearing age. Factors such as menstrual blood loss, childbirth, inadequate nutrition, closely spaced pregnancies, and recurrent gastrointestinal bleeding increase the risk of anaemia. This study investigated whether current contraceptive methods are associated with anaemia in Indian women of reproductive age.
Methods
Cross-sectional data from the fifth round of the National Family Health Survey, conducted in 2019-2021, were used for this investigation. We included only non-pregnant and non-amenorrhoeic women in our analysis, resulting in a final analytical sample of 673 094 women aged 15-49. Bivariate cross-tabulations and multivariable logistic regression were employed to analyse the data.
Results
The prevalence of anaemia was 57%, and the adjusted regression models found no significant association between the use of any contraceptive methods and women’s haemoglobin status. Women using traditional contraceptive methods had 1.08 (95% confidence interval, 1.05 to 1.11) times higher odds of having anaemia. Among the modern methods, other than injectables, all other methods—such as an intrauterine device, barrier use, and sterilisation—were associated with higher odds of anaemia compared to women who used contraceptive pills.
Conclusions
This study explored the relationship between modern contraceptives and haemoglobin levels in India, revealing that injectables were associated with a notable reduction in the odds of anaemia, whereas traditional contraceptives and other modern methods exhibited positive associations with anaemia. These findings prompt policymakers to focus on anaemia reduction and safe contraceptives. More research is needed to inform decisions, given the scant literature.
Summary
Key Message
This study investigated the association between contraceptive methods and anaemia in Indian women of reproductive age using data from the 2019-2021 National Family Health Survey. Results indicated that traditional contraceptives and several modern methods, except injectables, were associated with higher odds of anaemia. These findings suggest the need for policymakers to focus on anaemia reduction and the promotion of safer contraceptive options.

Citations

Citations to this article as recorded by  
  • Hormonal contraceptive use and anaemia: a nation-wide pharmacoepidemiological study from Northern Europe
    Sofie Ekroos, Elena Toffol, Oskari Heikinheimo, Jari Haukka, Mikko Arvas
    European Journal of Epidemiology.2025; 40(8): 925.     CrossRef
Association Between Parental BMI and Offspring’s Blood Pressure by Mediation Analysis: A Study Using Data From the Korean National Health and Nutrition Examination Survey
Hyowon Choi, Hunju Lee, Yeon-Soon Ahn
J Prev Med Public Health. 2023;56(6):533-541.   Published online October 30, 2023
DOI: https://doi.org/10.3961/jpmph.23.289
  • 5,307 View
  • 133 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study analyzed the relationship between parental body mass index (BMI; BMI_p) and hypertension in their adolescent offspring (HTN_a), focusing on the mediating effect of adolescents’ BMI (BMI_a).
Methods
Utilizing data from the Korea National Health and Nutrition Examination Survey, including participants aged 12-18, we conducted a mediation analysis while controlling for confounding factors such as age, sex, physical activity, dietary habits, household income quartile, and parents’ alcohol and smoking habits.
Results
The study included a total of 5731 participants, of whom 3381 and 5455 participants had data on fathers’ and mothers’ BMI, respectively. For adolescent systolic blood pressure (SBP_a), the father’s BMI (BMI_f) had a significant total effect (β, 0.23; 95% confidence interval [CI], 0.12 to 0.34) and average controlled mediated effect (ACME) (β, 0.27; 95% CI, 0.23 to 0.32), but the average direct effect (ADE) was not significant. The mother’s BMI (BMI_m) had a significant total effect (β, 0.17; 95% CI, 0.09 to 0.25), ACME (β, 0.25; 95% CI, 0.22 to 0.28) and ADE (β, -0.08; 95% CI, -0.16 to 0.00). For adolescent diastolic blood pressure, both BMI_f and BMI_m had significant ACMEs (β, 0.10; 95% CI, 0.08 to 0.12 and β, 0.09; 95% CI, 0.07 to 0.12, respectively), BMI_m had a significant ADE (β, -0.09; 95% CI, -0.16 to -0.02) but BMI_f had an insignificant ADE and total effect.
Conclusions
The study found that parental BMI had a significant effect on SBP_a, mediated through BMI_a. Therefore, a high BMI in parents could be a risk factor, mediated through BMI_a, for systolic hypertension in adolescents, necessitating appropriate management.
Summary
Korean summary
본 연구를 통해 부모의 BMI가 청소년기의 BMI를 매개하여 청소년의 수축기 혈압에 영향을 미침을 확인할 수 있었습니다. 그러나 본 연구는 단면적인 데이터를 활용하였으며, 후향적 연구로 이에 대한 한계를 가지고 있으며, 이후 이에 대한 추가 연구가 필요합니다.
Key Message
This study was able to confirm that parents' BMI mediated their BMI during adolescence and affected systolic blood pressure in adolescents. However, this study utilized cross-sectional data, and has limitations on this as a retrospective study, so further studies are needed.
Discrete-time Survival Analysis of Risk Factors for Early Menarche in Korean Schoolgirls
Yong Jin Gil, Jong Hyun Park, Joohon Sung
J Prev Med Public Health. 2023;56(1):59-66.   Published online December 29, 2022
DOI: https://doi.org/10.3961/jpmph.22.428
  • 5,081 View
  • 132 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data.
Methods
The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild’s conditional probability of menarche during a given time interval using general health condition and annual household income as covariates.
Results
Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche.
Conclusions
Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.
Summary
Korean summary
초경연령의 조기화는 세계적인 현상이나 유독 우리나라에서는 그 단축속도가 매우 빠르나. 그 위험요인은 비만 이외에 확립되어 있지 못하다. 본 연구는 한국아동청소년패널의 2010-16년도까지 추적관찰된 914 명의 여아 자료를 Gompetz 회귀모형 (다중 분절형 생존분석모형)을 통해 분석하였며, 그 결과 과체중은 1년의 초경연령 단축을 유발할 위험도가 정상체중 여아에 비해 1.63배, 수면시간이 충분하지 못한 여아는 충분한 수면을 취하는 여아에 비해 1년의 초경연령 단축이 발생할 위험도가 1.38배 높은 것으로 나타났다.

Citations

Citations to this article as recorded by  
  • Neighbourhood environment and early menarche among adolescent girls of five countries
    Erdenetuya Bolormaa, Taemi Kim, Eunson Gwak, Seung-Ah Choe, Adriane Martin Hilber
    The European Journal of Contraception & Reproductive Health Care.2024; 29(6): 263.     CrossRef
The Association Between Metabolic Syndrome and Colorectal Cancer Risk by Obesity Status in Korean Women: A Nationwide Cohort Study
Seong-geun Moon, Boyoung Park
J Prev Med Public Health. 2022;55(5):475-484.   Published online September 21, 2022
DOI: https://doi.org/10.3961/jpmph.22.286
  • 6,665 View
  • 141 Download
  • 6 Web of Science
  • 6 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study aimed to determine the association between metabolic syndrome (MetS) and the incidence of colorectal cancer (CRC) in Korean women with obesity.
Methods
Cancer-free women (n=6 142 486) aged 40-79 years, who underwent National Health Insurance Service health examinations in 2009 and 2010 were included. The incidence of CRC was followed until 2018. The hazard ratio (HR) of MetS for the incidence of colon and rectal cancer was analyzed according to body mass index (BMI) categories, adjusting for confounders such as women’s reproductive factors. In addition, the heterogeneity of associations across BMI categories was assessed.
Results
Women with MetS were at increased risk of colon and rectal cancer compared to women without MetS (HR, 1.20; 95% confidence interval [CI], 1.16 to 1.23 and HR,1.15; 95% CI, 1.11 to 1.20), respectively. The HR of MetS for colon cancer across BMI categories was 1.12 (95% CI, 1.06 to 1.19), 1.14 (95% CI, 1.08 to 1.20), and 1.16 (95% CI, 1.12 to 1.21) in women with BMIs <23.0 kg/m2, 23.0-24.9 kg/m2, and ≥25.0 kg/m2, respectively. The HR of MetS for rectal cancer across corresponding BMI categories was 1.16 (95% CI, 1.06 to 1.26), 1.14 (95% CI, 1.05 to 1.23), and 1.13 (95% CI, 1.06 to 1.20). The heterogeneity of associations across BMI categories was not significant in either colon or rectal cancer (p=0.587 for colon cancer and p=0.927 for rectal cancer).
Conclusions
Women with MetS were at increased risk of colon and rectal cancer. Clinical and public health strategies should be considered for primary CRC prevention with an emphasis on improving women’s metabolic health across all BMI groups.
Summary
Korean summary
한국 여성에서 대사증후군은 대장암 발생과 직장암 발생에 유의한 위험요인으로 보인다. 이는 체질량지수를 층화하고 여성력과 관련된 요인들을 보정하더라도 유의했다. 한국 여성의 대장암 및 직장암 예방을 위해 비만도에 관계 없이 대사증후군 요소를 관리하는 것이 필요하다.

Citations

Citations to this article as recorded by  
  • Metabolic Syndrome Components and Cancer Risk in Normal-Weight Subjects: Systematic Review and Meta-Analysis in over 18 Million Individuals
    Yasmin Ezzatvar, Jorge Olivares-Arancibia, Jacqueline Páez-Herrera, Rodrigo Yáñez-Sepúlveda, Óscar Caballero
    Journal of Clinical Medicine.2026; 15(2): 538.     CrossRef
  • The Association of Urinary Zinc with Metabolic Syndrome and the Mediating Role of Liver Enzymes in the Bouyei Ethnic Group in China
    Fei Xiao, Yuxin Hu, Yuan Wang, Yuxin Zhang, Enhui Zhou, Tingting Yang, Feng Hong
    Cardiovascular Toxicology.2025; 25(8): 1139.     CrossRef
  • Age-Related Differences in Anthropometric and Lifestyle Factors Linked to Metabolic Syndrome in Women with Overweight and Obesity: A Cross-Sectional Study
    Edyta Łuszczki, Magdalena Zielińska, Łukasz Oleksy, Artur Stolarczyk, Katarzyna Dereń
    Diabetes, Metabolic Syndrome and Obesity.2025; Volume 18: 1765.     CrossRef
  • Association of metabolic obesity phenotypes with risk of overall and site-specific cancers: a systematic review and meta-analysis of cohort studies
    Yahya Mahamat-saleh, Dagfinn Aune, Heinz Freisling, Sheetal Hardikar, Rola Jaafar, Sabina Rinaldi, Marc J. Gunter, Laure Dossus
    British Journal of Cancer.2024; 131(9): 1480.     CrossRef
  • Overweight and obesity significantly increase colorectal cancer risk: a meta-analysis of 66 studies revealing a 25–57% elevation in risk
    Zoltan Ungvari, Mónika Fekete, Peter Varga, Andrea Lehoczki, János Tibor Fekete, Anna Ungvari, Balázs Győrffy
    GeroScience.2024; 47(3): 3343.     CrossRef
  • Increased risk of cancer and cancer-related mortality in middle-aged Korean women with prediabetes and diabetes: a population-based study
    Thi Xuan Mai Tran, Soyeoun Kim, Huiyeon Song, Boyoung Park
    Epidemiology and Health.2023; 45: e2023080.     CrossRef
Self-efficacy to Engage in Physical Activity and Overcome Barriers, Sedentary Behavior, and Their Relation to Body Mass Index Among Elderly Indonesians With Diabetes
Qonita Rachmah, Stefania Widya Setyaningtyas, Mahmud Aditya Rifqi, Diah Indriani, Triska Susila Nindya, Hario Megatsari, Trias Mahmudiono, Wantanee Kriengsinyos
J Prev Med Public Health. 2019;52(4):242-249.   Published online July 2, 2019
DOI: https://doi.org/10.3961/jpmph.19.003
  • 10,772 View
  • 293 Download
  • 15 Crossref
AbstractAbstract PDF
Objectives
Elderly individuals with diabetes should maintain a normal body mass index (BMI) to help control their blood glucose levels. This study investigated barriers to physical activity (PA), self-efficacy to overcome those barriers, and PA self-efficacy among elderly individuals with diabetes in relation to BMI.
Methods
This cross-sectional study included 56 participants. Data were collected by a questionnaire interview and direct measurements for anthropometric data. PA self-efficacy was measured using 8 questions describing different levels of PA, where participants rated the strength of their belief that they could engage in that activity. Self-efficacy to overcome barriers was measured using 10 questions capturing participants’ confidence in their ability to engage in PA despite different possible barriers. Mean scores for these parameters were analyzed using the chi-square test and the independent t-test.
Results
In total, 89.3% of participants had a low PA level and 58.9% had more than 3 hours of sedentary activity per day. Furthermore, 55.4% were obese and 14.3% were overweight. The mean scores for PA self-efficacy and self-efficacy to overcome barriers were 59.1± 26.4 and 52.5±13.8, respectively. PA level was related to BMI (p<0.001; r=0.116) and sedentary activity (p<0.05; r=0.274). PA self-efficacy and age were not related to BMI. Barriers to PA were associated with PA levels (p<0.05).
Conclusions
Physical inactivity was a major problem in elderly individuals with diabetes, and was correlated with higher BMI. Lower levels of PA might be mediated by sedentary activity.
Summary

Citations

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  • Exploring physical therapists’ approach to addressing home exercise program-related low self-efficacy: knowledge, strategies, and barriers
    Mariana Wingood, Patricia M. Bamonti, Justin B. Moore, Kelsey J. Picha
    Disability and Rehabilitation.2025; 47(8): 2065.     CrossRef
  • Implications on self-care behaviors among older Korean immigrants diagnosed with diabetes residing in the United States: a path analytical approach
    Jung Eun Kim, Ying Hong Jiang, Vivien Dee
    Journal of Diabetes & Metabolic Disorders.2023; 23(1): 871.     CrossRef
  • The Effect of Educational Intervention Based on Theory of Planned Behavior Approach on Complementary Feeding: A Randomized Controlled Trial
    Qonita Rachmah, Junaida Astina, Dominikus Raditya Atmaka, Leli Khairani, Chiara Leoni
    International Journal of Pediatrics.2023; 2023: 1.     CrossRef
  • The application of social cognitive theory (SCT) to the mHealth diabetes physical activity (PA) app to control blood sugar levels of type 2 diabetes mellitus (T2DM) patients in Takalar regency
    Zainuddin, Andi Zulkifli Abdullah, Nurhaedar Jafar, Suriah, Nursalam, Darmawansyah, Syahrul Syahrul, Wahiduddin, Fransiskus Xaverius Widiantoro, Rizal Irfandi
    Journal of Public Health Research.2023;[Epub]     CrossRef
  • Classroom-Based Physical Activity as a Means to Improve Self-Efficacy and Academic Achievement among Normal-Weight and Overweight Youth
    Francesca Latino, Francesco Tafuri, Emma Saraiello, Domenico Tafuri
    Nutrients.2023; 15(9): 2061.     CrossRef
  • Incorporating Physical Activity Assessments and Behavior Change Techniques Into Geriatrics
    Mariana Wingood, Jonathan F. Bean, Amy M. Linsky
    Archives of Rehabilitation Research and Clinical Translation.2023; 5(4): 100293.     CrossRef
  • Examining physical activity participation barriers among adults 50 years and older: a scoping review
    Mariana Wingood, Michelle G. Criss, Kent E. Irwin, Patricia M. Bamonti, Rebekah Harris, Emma L. Phillips, Jennifer L. Vincenzo, Kevin K. Chui
    Physical Therapy Reviews.2023; 28(3): 195.     CrossRef
  • A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease
    Firman Sugiharto, Aan Nuraeni, Yanny Trisyani, Azalia Putri, Nuraulia Armansyah, Asroful Zamroni
    Vascular Health and Risk Management.2023; Volume 19: 719.     CrossRef
  • Yaşlı Bireylerin Fiziksel Aktivite Engellerinin İncelenmesi
    Gülseren Yürekli, Behsat Savas, Fatma Çelik Kayapınar
    CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi.2023; 18(2): 803.     CrossRef
  • The Effectiveness of Nutrition and Health Intervention in Workplace Setting: A Systematic Review
    Qonita Rachmah, Tri Martiana, Mulyono, Indriati Paskarini, Endang Dwiyanti, Noeroel Widajati, Meirina Ernawati, Yustinus D Ardyanto, Abdul R. Tualeka, Dani N. Haqi, Shintia Y. Arini, Putri A. Alayyannur
    Journal of Public Health Research.2022;[Epub]     CrossRef
  • Regular Exercise and Depressive Symptoms in Korean Older Adults
    Young-Mee Kim, Sung-il Cho
    International Journal of Environmental Research and Public Health.2021; 18(1): 303.     CrossRef
  • Self-efficacy in physical activity and glycemic control among older adults with diabetes in Jagir Subdistrict, Surabaya, Indonesia
    Trias Mahmudiono, Stefania W. Setyaningtyas, Qonita Rachmah, Triska S. Nindya, Hario Megatsari, Diah Indriani, Mahmud A. Rifqi, Wantanee Kriengsinyos
    Heliyon.2021; 7(7): e07578.     CrossRef
  • The Influence of Physical Education on Self-Efficacy in Overweight Schoolgirls: A 12-Week Training Program
    Francesca Latino, Stefania Cataldi, Valerio Bonavolontà, Roberto Carvutto, Michele De Candia, Francesco Fischetti
    Frontiers in Psychology.2021;[Epub]     CrossRef
  • Beliefs, Benefits and Barriers Associated with Physical Activity: Impact of These Factors on Physical Activity in Patients With Type II Diabetes Mellitus
    Hsiang-Ju Hsu, Ding-Tien Chung, Li-Yun Lee, I-Pei Lin, Shu-Ching Chen
    Clinical Nursing Research.2021; 30(3): 302.     CrossRef
  • The Influence of Social Support on Physical Activity in Chinese Adolescents: The Mediating Role of Exercise Self-Efficacy
    Zhanbing Ren, Linlin Hu, Jane Yu, Qian Yu, Sitong Chen, Yudan Ma, Jingyuan Lin, Lin Yang, Xiaoyun Li, Liye Zou
    Children.2020; 7(3): 23.     CrossRef
Non-linear Relationship Between Body Mass Index and Lower Urinary Tract Symptoms in Korean Males
Chang Kyun Choi, Sun A Kim, Ji-An Jeong, Sun-Seog Kweon, Min-Ho Shin
J Prev Med Public Health. 2019;52(3):147-153.   Published online March 29, 2019
DOI: https://doi.org/10.3961/jpmph.18.259
  • 13,235 View
  • 195 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
The purpose of this study was to evaluate the association between body mass index (BMI) and severe lower urinary tract symptoms (LUTS) in Korean males.
Methods
This study was conducted on males aged ≥50 years who participated in the 2011 Korean Community Health Survey. LUTS severity was assessed using the Korean version of the International Prostate Symptom Score (IPSS) questionnaire, and was dichotomized as severe (IPSS >19) and non-severe (IPSS ≤19). BMI was divided into 6 categories: <18.5, 18.5-22.9, 23.0-24.9, 25.0-27.4, 27.5-29.9, and ≥30.0 kg/m2. To evaluate the relationship between BMI and LUTS, a survey-weighted multivariate Poisson regression analysis was performed to estimate prevalence rate ratios (PRRs). Age, smoking status, alcohol intake, physical activity, educational level, household income, and comorbidities were adjusted for in the multivariate model.
Results
A U-shaped relationship was detected between BMI and severe LUTS. Compared with a BMI of 23.0-24.9 kg/m2, the PRR for a BMI <18.5 kg/m2 was 1.65 (95% confidence interval [CI], 1.35 to 2.02), that for a BMI of 18.5-22.9 kg/m2 was 1.25 (95% CI, 1.09 to 1.44), that for a BMI of 25.0-27.4 kg/m2 was 1.20 (95% CI, 1.00 to 1.45), that for a BMI of 27.5-29.9 kg/m2 was 1.11 (95% CI, 0.83 to 1.47), and that for a BMI ≥30.0 kg/m2 was 1.85 (95% CI, 1.18 to 2.88).
Conclusions
This study showed that both high and low BMI were associated with severe LUTS.
Summary
Korean summary
이 연구는 2011 지역사회건강조사를 기반으로 하였다. 한국인 남성에서 체질량지수와 하부요로증상 간에는 U자형 관련성이 있었으며, 저체중과 비만 모두 높은 하부요로증상 유병률을 보였다. 따라서 전립선 질환의 건강서비스 제공에 있어서 비만 뿐만 아니라 저체중 또한 위험인자로 함께 고려할 필요가 있다.

Citations

Citations to this article as recorded by  
  • Metabolic syndrome and male lower urinary tract symptoms
    Gallus B. INEICHEN, Fiona C. BURKHARD
    Panminerva Medica.2022;[Epub]     CrossRef
Can Obesity Cause Depression? A Pseudo-panel Analysis
Hyungserk Ha, Chirok Han, Beomsoo Kim
J Prev Med Public Health. 2017;50(4):262-267.   Published online June 27, 2017
DOI: https://doi.org/10.3961/jpmph.17.067
  • 16,824 View
  • 268 Download
  • 23 Crossref
AbstractAbstract PDF
Objectives
The US ranks ninth in obesity in the world, and approximately 7% of US adults experience major depressive disorder. Social isolation due to the stigma attached to obesity might trigger depression. Methods: This paper examined the impact of obesity on depression. To overcome the endogeneity problem, we constructed pseudopanel data using the Behavioral Risk Factor Surveillance System from 1997 to 2008. Results: The results were robust, and body mass index (BMI) was found to have a positive effect on depression days and the percentage of depressed individuals in the population. Conclusions: We attempted to overcome the endogeneity problem by using a pseudo-panel approach and found that increases in the BMI increased depression days (or being depressed) to a statistically significant extent, with a large effect size.
Summary

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  • Identifying early screening factors for depression in middle-aged and older adults: A cohort study
    Guanqun Chao, Lan Zhang, Zheli Zhan, Yang Bao
    Open Medicine.2025;[Epub]     CrossRef
  • Relationship Between Obesity and Depression Considering the Inflammatory Theory
    Aleksandra Julia Oracz, Mateusz Zwierz, Maciej Naumowicz, Maria Suprunowicz, Napoleon Waszkiewicz
    International Journal of Molecular Sciences.2025; 26(11): 4966.     CrossRef
  • The allostatic triage model of psychopathology (ATP Model): How reallocation of brain energetic resources under stress elicits psychiatric symptoms
    D. Parker Kelley, S. Parker Singleton, Katy Venable, Gabriel Sturm, Anna Skovgaard, Joseph Francis, Thomas C. Neylan, Ellen R. Bradley, Joshua Woolley, Martin Picard, Aoife O’Donovan
    Neuroscience & Biobehavioral Reviews.2025; 179: 106419.     CrossRef
  • Recurrent myocardial infarction and adherence to secondary prevention strategies among adults with coronary artery disease in rural Aluva, South India: a nested case–control study
    Neeraj Vinod Mohandas, Vijayakumar Krishnapillai, Neethu George, Avani Dinesh, Vinod Mohandas
    BMC Public Health.2025;[Epub]     CrossRef
  • Associations between adiposity measures and depression and well-being scores: A cross-sectional analysis of middle- to older-aged adults
    Caoimhe Lonergan, Seán R. Millar, Zubair Kabir, Yuichiro Nishida
    PLOS ONE.2024; 19(3): e0299029.     CrossRef
  • Comparison of Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with health subjects: a case-control study
    Melika Tohidi Nafe, Ariyo Movahedi, Abolghasem Djazayery
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • The effect of prebiotic supplementation on serum levels of tryptophan and kynurenine in obese women with major depressive disorder: a double-blinded placebo-controlled randomized clinical trial
    Fatemeh Khademi, Helda Tutunchi, Elnaz Vaghef-Mehrabani, Mehrangiz Ebrahimi-Mameghani
    BMC Research Notes.2024;[Epub]     CrossRef
  • Mindful eating for weight loss in women with obesity: a randomised controlled trial
    Renata Bressan Pepe, Graziele Souza de Menezes Amorim Coelho, Flavia da Silva Miguel, Ana Carolina Gualassi, Marcela Mosconi Sarvas, Cintia Cercato, Marcio C. Mancini, Maria Edna de Melo
    British Journal of Nutrition.2023; 130(5): 911.     CrossRef
  • Weight discrimination, BMI, or weight bias internalization? Testing the best predictor of psychological distress and body dissatisfaction
    Sergio Macho, Ana Andrés, Carmina Saldaña
    Obesity.2023; 31(8): 2178.     CrossRef
  • The Relationship Between Pregnancy Body Mass Index and Delivery Method and Postpartum Depression
    Ayça ŞOLT, Derya KANZA GÜL
    Acibadem Universitesi Saglik Bilimleri Dergisi.2023;[Epub]     CrossRef
  • “Jolly fat” or “sad fat”: a systematic review and meta-analysis of the association between obesity and depression among community-dwelling older adults
    Mingming Yu, Yuexian Shi, Libin Gu, Wenru Wang
    Aging & Mental Health.2022; 26(1): 13.     CrossRef
  • Computational approaches to predicting treatment response to obesity using neuroimaging
    Leonard Kozarzewski, Lukas Maurer, Anja Mähler, Joachim Spranger, Martin Weygandt
    Reviews in Endocrine and Metabolic Disorders.2022; 23(4): 773.     CrossRef
  • Factors Associated With Myocardial Infarction Reoccurrence
    Willie M. Abel, Lauren N. Scanlan, Carolyn E. Horne, Patricia B. Crane
    Journal of Cardiovascular Nursing.2022; 37(4): 359.     CrossRef
  • Effects of obesity on neuroinflammatory and neurochemical parameters in an animal model of reserpine-induced Parkinson's disease
    Eulla Keimili Fernandes Ferreira Cavalheiro, Larissa Espindola da Silva, Mariana Pacheco Oliveira, Marina Goulart Silva, Adriani Paganini Damiani, Catharina de Bem Ribeiro, Marina Lummertz Magenis, Luana Cucker, Monique Michels, Larissa Joaquim, Richard S
    Behavioural Brain Research.2022; 434: 114019.     CrossRef
  • Calorie restriction in combination with prebiotic supplementation in obese women with depression: effects on metabolic and clinical response
    Elnaz Vaghef-Mehrabany, Fatemeh Ranjbar, Mohammad Asghari-Jafarabadi, Sonia Hosseinpour-Arjmand, Mehrangiz Ebrahimi-Mameghani
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  • Investigation of quality of life in obese adolescents: the effect of psychiatric symptoms of obese adolescent and/or mother on quality of life
    Ümit Işık, Büşra Bağcı, Faruk Kılıç, Evrim Aktepe, Mustafa Özgür Pirgon
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  • Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature
    Olivia Remes, João Francisco Mendes, Peter Templeton
    Brain Sciences.2021; 11(12): 1633.     CrossRef
  • The Effect of an Abnormal BMI on Orthopaedic Trauma Patients: A Systematic Review and Meta-Analysis
    Florence Kinder, Peter V. Giannoudis, Tim Boddice, Anthony Howard
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  • The impact of BMI on mental health: Further evidence from genetic markers
    Vikesh Amin, Carlos A. Flores, Alfonso Flores-Lagunes
    Economics & Human Biology.2020; 38: 100895.     CrossRef
  • Efficacy of weight loss intervention can be predicted based on early alterations of fMRI food cue reactivity in the striatum
    Petra Hermann, Viktor Gál, István Kóbor, C. Brock Kirwan, Péter Kovács, Tamás Kitka, Zsuzsanna Lengyel, Eszter Bálint, Balázs Varga, Csongor Csekő, Zoltán Vidnyánszky
    NeuroImage: Clinical.2019; 23: 101803.     CrossRef
  • Does Depression Cause Obesity or Does Obesity Prompt Depression?
    Nevzat Demirci
    International Journal of Disabilities Sports and Health Sciences.2019; 2(1): 25.     CrossRef
  • The association between body mass index and postpartum depression: A population-based study
    Michael E. Silverman, Lauren Smith, Paul Lichtenstein, Abraham Reichenberg, Sven Sandin
    Journal of Affective Disorders.2018; 240: 193.     CrossRef
  • Obesity and the onset of depressive symptoms among middle-aged and older adults in China: evidence from the CHARLS
    Huiqiang Luo, Jijie Li, Qi Zhang, Peiya Cao, Xiaohui Ren, Aiping Fang, Haiying Liao, Lijuan Liu
    BMC Public Health.2018;[Epub]     CrossRef
The Combined Effect of Subjective Body Image and Body Mass Index (Distorted Body Weight Perception) on Suicidal Ideation
Jaeyong Shin, Young Choi, Kyu-Tae Han, Sung-Youn Cheon, Jae-Hyun Kim, Sang Gyu Lee, Eun-Cheol Park
J Prev Med Public Health. 2015;48(2):94-104.   Published online March 14, 2015
DOI: https://doi.org/10.3961/jpmph.14.055
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  • 18 Crossref
AbstractAbstract PDF
Objectives
Mental health disorders and suicide are an important and growing public health concern in Korea. Evidence has shown that both globally and in Korea, obesity is associated with an increased risk of developing some psychiatric disorders. Therefore, we examined the association between distorted body weight perception (BWP) and suicidal ideation.
Methods
Data were obtained from the 2007-2012 Korea National Health and Nutritional Evaluation Survey (KNHANES), an annual cross-sectional nationwide survey that included 14 276 men and 19 428 women. Multiple logistic regression analyses were conducted to investigate the associations between nine BWP categories, which combined body image (BI) and body mass index (BMI) categories, and suicidal ideation. Moreover, the fitness of our models was verified using the Akaike information criterion.
Results
Consistent with previous studies, suicidal ideation was associated with marital status, household income, education level, and perceived health status in both genders. Only women were significantly more likely to have distorted BWP; there was no relationship among men. In category B1 (low BMI and normal BI), women (odds ratio [OR], 2.25; 95% confidence interval [CI], 1.48 to 3.42) were more likely to express suicidal ideation than women in category B2 (normal BMI and normal BI) were. Women in overweight BWP category C2 (normal BMI and fat BI) also had an increased OR for suicidal ideation (OR, 2.25; 95% CI, 1.48 to 3.42). Those in normal BWP categories were not likely to have suicidal ideation. Among women in the underweight BWP categories, only the OR for those in category A2 (normal BMI and thin BI) was significant (OR, 1.34; 95% CI, 1.13 to 1.59).
Conclusions
Distorted BWP should be considered an important factor in the prevention of suicide and for the improvement of mental health among Korean adults, especially Korean women with distorted BWPs.
Summary

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    Jinyoung Jeong, Hyunjee Kim, Hyesu Jo, Hyeon Jin Kim, Jaeyu Park, Jaehyeong Cho, Jiyoung Hwang, Seoyoung Park, Damiano Pizzol, Lee Smith, Sang Youl Rhee, Selin Woo, Dong Keon Yon
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  • Association between lifestyle-related risk behaviors, chronic diseases, and body image distortion: gender differences in follow-up 1 of the ELSA-Brasil cohort
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    Health Psychology and Behavioral Medicine.2024;[Epub]     CrossRef
  • Association between Weight Status and Mental Health among Korean Adolescents: A Nationwide Cross-Sectional Study
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  • Association between body shape misperception and unhealthy eating behaviors among Korean adolescents
    Yejin Kim, Bomgyeol Kim, Vasuki Rajaguru, Sang Gyu Lee, Tae Hyun Kim
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  • Body image distortion among Brazilian and Portuguese women with children: A comparative study between the ELSA-Brasil and Generation XXI cohorts
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    Preventive Medicine.2022; 164: 107316.     CrossRef
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  • Association between Subjective Body Image, Body Mass Index and Psychological Symptoms in Chinese Adolescents: A Nationwide Cross-Sectional Study
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    Healthcare.2021; 9(10): 1299.     CrossRef
  • Factors associated with psychological stress and distress among Korean adults: the results from Korea National Health and Nutrition Examination Survey
    Yejin Cheon, Jinju Park, Bo Yoon Jeong, Eun Young Park, Jin-Kyoung Oh, E Hwa Yun, Min Kyung Lim
    Scientific Reports.2020;[Epub]     CrossRef
  • Misclassification of Self-Reported Body Mass Index Categories
    Romy Freigang, Anne-Kathrin Geier, Gordian Lukas Schmid, Thomas Frese, Andreas Klement, Susanne Unverzagt
    Deutsches Ärzteblatt international.2020;[Epub]     CrossRef
  • Self-perceptions of body weight status according to age-groups among Korean women: A nationwide population-based survey
    Boyoung Park, Ha Na Cho, Eunji Choi, Da Hea Seo, Sue Kim, Yeong-Ran Park, Kui Son Choi, Yumie Rhee, Yongjoo Kim
    PLOS ONE.2019; 14(1): e0210486.     CrossRef
  • Does perceived overweight increase risk of depressive symptoms and suicidality beyond objective weight status? A systematic review and meta-analysis
    Ashleigh Haynes, Inge Kersbergen, Angelina Sutin, Michael Daly, Eric Robinson
    Clinical Psychology Review.2019; 73: 101753.     CrossRef
  • Secular trends in the prevalence of weight misperception among Korean adults, 2001–2013
    Seonho Kim, Wi-Young So
    Obesity Research & Clinical Practice.2018; 12(4): 346.     CrossRef
  • Association between body mass index and suicidal ideation among seniors in Shandong, China
    Long Sun, Chengchao Zhou
    Comprehensive Psychiatry.2018; 82: 68.     CrossRef
  • Body weight misperception and psychological distress among young South Korean adults: the role of physical activity
    Eun-Young Lee, Maxine Myre, Jongnam Hwang, Heeran Chun, Eunchul Seo, Roman Pabayo, John C. Spence
    Global Health Research and Policy.2017;[Epub]     CrossRef
  • The Association between Inappropriate Weight Control Behaviors and Suicide Ideation and Attempt among Korean Adolescents
    Sang Ah Lee, Suk-Yong Jang, JaeYong Shin, Yeong Jun Ju, Jin Young Nam, Eun-Cheol Park
    Journal of Korean Medical Science.2016; 31(10): 1529.     CrossRef
Analysis of the Change of Health Status Among the Republic of Korea Air Force Soldiers During Military Service
Seok-Ju Yoo, Won-Ju Park, Kwan Lee, Hyun-Sul Lim, Hyun-Jin Kim, Suk-Ho Lee
J Prev Med Public Health. 2014;47(4):230-235.   Published online July 31, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.4.230
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AbstractAbstract PDF
Objectives
The aim of this study was to investigate whether the health status of Republic of Korea Air Force (ROKAF) soldiers changed after one year of military service. Methods: We selected 483 ROKAF soldiers from the 11 749 recruits who participated in the 2011 physical examination. The selected soldiers underwent another physical examination in 2012 for advancement to senior airman. Data from 2011 and 2012 were merged. To collect data on lifestyle, a questionnaire was sent to all included subjects via the military intranet e-mail service. Results: The percentage of recruits with an abnormal alanine transaminase level (normal range <40 IU/L) decreased from recruitment (13.7%) to the following year (2.7%). Moreover, the percentage of obese soldiers (body mass index ≥25 kg/m2) decreased from recruitment (20.5%) to the following year (10.4%). There was a significant change in mean duration of exercise carried out each day before (0.8±1.3 hours) and after (1.0±0.7 hours) joining the ROKAF service. Conclusions: These ROKAF soldiers were generally in good health before and after joining the armed service. After one year of military service, the health status of most soldiers improved, especially with respect to body mass index and alanine transaminase level.
Summary

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  • Behavioral impact of national health campaigns on healthy lifestyle practices among young adults in Singapore: a cross-sectional study
    Yong Zhi Khow, Talia Li Yin Lim, Jarret Shoon Phing Ng, Jiaxuan Wu, Chuen Seng Tan, Kee Seng Chia, Nan Luo, Wei Jie Seow
    BMC Public Health.2021;[Epub]     CrossRef
  • Strategic Priorities to Improve Effectiveness of Anti-smoking Interventions for the Korean Military: An Application of the Analytic Hierarchy Process
    Yun-Kyoung Song, Jae Hyun Kim, Boyoon Choi, Nayoung Han, Myeong Gyu Kim, Jeongsam Lee, Handuk Lee, Jieun Yoon, Beom-Jin Lee, Jung Mi Oh
    Military Medicine.2018; 183(7-8): e223.     CrossRef
Association Between Socioeconomic Status and Obesity in Adults: Evidence From the 2001 to 2009 Korea National Health and Nutrition Examination Survey
Jihye Kim, Shreela V. Sharma, Sung Kyun Park
J Prev Med Public Health. 2014;47(2):94-103.   Published online March 31, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.2.94
  • 15,753 View
  • 112 Download
  • 22 Crossref
AbstractAbstract PDF
Objectives

The present study examined relationships between socioeconomic status (SES) and obesity and body mass index (BMI) as well as the effects of health-related behavioral and psychological factors on the relationships.

Methods

A cross-sectional population-based study was conducted on Korean adults aged 20 to 79 years using data from the 2001, 2005, and 2007 to 2009 Korea National Health and Nutrition Examination Survey. Multivariate logistic and linear regression models were used to estimate odds ratios of obesity and mean differences in BMI, respectively, across SES levels after controlling for health-related behavioral and psychological factors.

Results

We observed significant gender-specific relationships of SES with obesity and BMI after adjusting for all covariates. In men, income, but not education, showed a slightly positive association with BMI (p<0.05 in 2001 and 2005). In women, education, but not income, was inversely associated with both obesity and BMI (p<0.0001 in all datasets). These relationships were attenuated with adjusting for health-related behavioral factors, not for psychological factors.

Conclusions

Results confirmed gender-specific disparities in the associations of SES with obesity and BMI among adult Korean population. Focusing on intervention for health-related behaviors may be effective to reduce social inequalities in obesity.

Summary

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  • Trends in obesity, leisure-time physical activity, and sedentary behavior in Korean adults: Korea national health and nutritional examinations survey from 2014 to 2021
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  • Who did it better? Gender differences in effects of a dietary self-management intervention for older community-dwelling adults
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    Journal of Women & Aging.2021; 33(5): 473.     CrossRef
  • Two-year follow-up cohort study focused on gender-specific associations between socioeconomic status and body weight changes in overweight and obese middle-aged and older adults
    Malgorzata Biskup, Pawel Macek, Stanislaw Gozdz, Malgorzata Terek-Derszniak, Halina Krol, Piotr Kedzierawski, Marek Zak
    BMJ Open.2021; 11(7): e050127.     CrossRef
  • Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort
    Hye-Eun Lee, Masayoshi Zaitsu, Eun-A Kim, Ichiro Kawachi
    Safety and Health at Work.2020; 11(1): 41.     CrossRef
  • Socioeconomic inequalities and severe obesity—Sex differences in a nationwide study of 1.12 million Israeli adolescents
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    Pediatric Obesity.2020;[Epub]     CrossRef
  • Factors contributing to educational differences in obesity among women: evidence from South Korea
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  • A Reversal of the Association between Education Level and Obesity Risk during Ageing: A Gender-Specific Longitudinal Study in South Korea
    Woojin Chung, Roeul Kim
    International Journal of Environmental Research and Public Health.2020; 17(18): 6755.     CrossRef
  • Ethnicity, Neighborhood and Individual Socioeconomic Status, and Obesity: The Singapore Multiethnic Cohort
    Su Hyun Park, Mary Nicolaou, Borame Sue Lee Dickens, Qianyu Yang, Ken Wei Tan, Rob M. van Dam
    Obesity.2020; 28(12): 2405.     CrossRef
  • Energy imbalance: obesity, associated comorbidities, prevention, management and public health implications
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    Advances in Obesity, Weight Management & Control.2020; 10(5): 146.     CrossRef
  • Measuring Socioeconomic Inequalities in Obesity among Korean Adults, 1998–2015
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    Journal of Clinical Neurology.2019; 15(4): 517.     CrossRef
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    BMJ Open.2019; 9(12): e029570.     CrossRef
  • Sex-specific role of education on the associations of socioeconomic status indicators with obesity risk: A population-based study in South Korea
    Woojin Chung, Jaeyeun Kim, Seung-ji Lim, Sunmi Lee, Meian He
    PLOS ONE.2018; 13(1): e0190499.     CrossRef
  • Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus
    So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim
    Diabetes & Metabolism Journal.2018; 42(5): 380.     CrossRef
  • Educational Disparities in Risk for Metabolic Syndrome
    Insub Kim, Yun-Mi Song, Hyeonyoung Ko, Joohon Sung, Kayoung Lee, Jinyoung Shin, Sujeong Shin
    Metabolic Syndrome and Related Disorders.2018; 16(8): 416.     CrossRef
  • Geographic Association Between Income Inequality and Obesity Among Adults in New York State
    Daniel Kim, Fusheng Wang, Chrisa Arcan
    Preventing Chronic Disease.2018;[Epub]     CrossRef
  • The association between socioeconomic status and reactions to radiation exposure: a cross-sectional study after the Fukushima Daiichi nuclear power station accident
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    PLOS ONE.2018; 13(10): e0205531.     CrossRef
  • Educational Inequality in Obesity-Related Mortality in Korea
    Mi-Hyun Kim, Kyunghee Jung-Choi, Hyeonyoung Ko, Yun-Mi Song
    Journal of Korean Medical Science.2017; 32(3): 386.     CrossRef
  • Outdoor artificial light at night, obesity, and sleep health: Cross-sectional analysis in the KoGES study
    Yong Seo Koo, Jin-Young Song, Eun-Yeon Joo, Heon-Jeong Lee, Eunil Lee, Sang-kun Lee, Ki-Young Jung
    Chronobiology International.2016; 33(3): 301.     CrossRef
  • Socioeconomic Disparities in Osteoporosis Prevalence: Different Results in the Overall Korean Adult Population and Single-person Households
    Jungmee Kim, Joongyub Lee, Ju-Young Shin, Byung-Joo Park
    Journal of Preventive Medicine and Public Health.2015; 48(2): 84.     CrossRef
Social Network Characteristics and Body Mass Index in an Elderly Korean Population
Won Joon Lee, Yoosik Youm, Yumie Rhee, Yeong-Ran Park, Sang Hui Chu, Hyeon Chang Kim
J Prev Med Public Health. 2013;46(6):336-345.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.336
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AbstractAbstract PDF
Objectives

Research has shown that obesity appears to spread through social ties. However, the association between other characteristics of social networks and obesity is unclear. This study aimed to identify the association between social network characteristics and body mass index (BMI, kg/m2) in an elderly Korean population.

Methods

This cross-sectional study analyzed data from 657 Koreans (273 men, 384 women) aged 60 years or older who participated in the Korean Social Life, Health, and Aging Project. Network size is a count of the number of friends. Density of communication network is the number of connections in the social network reported as a fraction of the total links possible in the personal (ego-centric) network. Average frequency of communication (or meeting) measures how often network members communicate (or meet) each other. The association of each social network measure with BMI was investigated by multiple linear regression analysis.

Results

After adjusting for potential confounders, the men with lower density (<0.71) and higher network size (4-6) had the higher BMI (β=1.089, p=0.037) compared to the men with higher density (>0.83) and lower size (1-2), but not in the women (p=0.393). The lowest tertile of communication frequency was associated with higher BMI in the women (β=0.885, p=0.049), but not in the men (p=0.140).

Conclusions

Our study suggests that social network structure (network size and density) and activation (communication frequency and meeting frequency) are associated with obesity among the elderly. There may also be gender differences in this association.

Summary

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    International Journal of Environmental Research and Public Health.2025; 23(1): 52.     CrossRef
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    Journal of Hypertension.2021; 39(4): 651.     CrossRef
  • Adiposity and the role of diverse social supports: an observational, gender-sensitive study using the baseline Canadian Longitudinal Study on Aging
    Zeinab Hosseini, Abdollah Safari, Nadia A Khan, Gerry Veenstra, Annalijn I Conklin
    Public Health Nutrition.2021; 24(18): 6103.     CrossRef
  • Associations between social connections, their interactions, and obesity differ by gender: A population-based, cross-sectional analysis of the Canadian Longitudinal Study on Aging
    Zeinab Hosseini, Gerry Veenstra, Nadia A. Khan, Annalijn I. Conklin, Liang Wang
    PLOS ONE.2020; 15(7): e0235977.     CrossRef
  • Personal network characteristics and body mass index: the role of education among Black Americans
    Stephanie T Child, Katrina M Walsemann, Andrew T Kaczynski, Nancy L Fleischer, Alexander C McLain, Spencer Moore
    Journal of Public Health.2019; 41(1): 130.     CrossRef
  • Social support, social network and salt-reduction behaviours in children: a substudy of the School-EduSalt trial
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    BMJ Open.2019; 9(6): e028126.     CrossRef
  • Is the Relationship between Depression and C Reactive Protein Level Moderated by Social Support in Elderly?-Korean Social Life, Health, and Aging Project (KSHAP)
    Nam Wook Hur, Hyeon Chang Kim, Linda Waite, Yoosik Youm
    Psychiatry Investigation.2018; 15(1): 24.     CrossRef
  • Applications of social network analysis to obesity: a systematic review
    S. Zhang, K. de la Haye, M. Ji, R. An
    Obesity Reviews.2018; 19(7): 976.     CrossRef
  • Social Network Analysis and Resilience in University Students: An Approach from Cohesiveness
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    International Journal of Environmental Research and Public Health.2018; 15(10): 2119.     CrossRef
  • The association between obesity and social exclusion in middle-aged and older adults: findings from a nationally representative study in Germany
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  • Factors Associated with Insomnia among the Elderly in a Korean Rural Community
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    Psychiatry Investigation.2017; 14(4): 400.     CrossRef
  • The Connection Prescription: Using the Power of Social Interactions and the Deep Desire for Connectedness to Empower Health and Wellness
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    American Journal of Lifestyle Medicine.2017; 11(6): 466.     CrossRef
  • Obesity in older persons
    J. Woo
    Current Opinion in Clinical Nutrition and Metabolic Care.2015; 18(1): 5.     CrossRef
  • O Programa Nacional de Controle do Tabagismo (PNCT) na perspectiva social: a análise de redes, capital e apoio social
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    Cadernos Saúde Coletiva.2015; 23(4): 436.     CrossRef
  • The Korean social life, health and aging project-health examination cohort
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    Epidemiology and Health.2014; 36: e2014003.     CrossRef
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J Prev Med Public Health. 2012;45(6):394-401.   Published online November 29, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.6.394
  • 13,491 View
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AbstractAbstract PDF
Objectives

Diabetes and obesity each increases mortality, but recent papers have shown that lean Asian persons were at greater risk for mortality than were obese persons. The objective of this study is to determine whether an interaction exists between body mass index (BMI) and diabetes, which can modify the risk of death by cardiovascular disease (CVD).

Methods

Subjects who were over 20 years of age, and who had information regarding BMI, past history of diabetes, and fasting blood glucose levels (n=16 048), were selected from the Korea Multi-center Cancer Cohort study participants. By 2008, a total of 1290 participants had died; 251 and 155 had died of CVD and stroke, respectively. The hazard for deaths was calculated with hazard ratio (HR) and 95% confidence interval (95% CI) by Cox proportional hazard model.

Results

Compared with the normal population, patients with diabetes were at higher risk for CVD and stroke deaths (HR, 1.84; 95% CI, 1.33 to 2.56; HR, 1.82; 95% CI, 1.20 to 2.76; respectively). Relative to subjects with no diabetes and normal BMI (21 to 22.9 kg/m2), lean subjects with diabetes (BMI <21 kg/m2) had a greater risk for CVD and stroke deaths (HR, 2.83; 95% CI, 1.57 to 5.09; HR, 3.27; 95% CI, 1.58 to 6.76; respectively), while obese subjects with diabetes (BMI ≥25 kg/m2) had no increased death risk (p-interaction <0.05). This pattern was consistent in sub-populations with no incidence of hypertension.

Conclusions

This study suggests that diabetes in lean people is more critical to CVD deaths than it is in obese people.

Summary

Citations

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  • Underweight and Mortality in Type 2 Diabetes: A Nationwide Retrospective Cohort Study
    Hun Jee Choe, Kyong Do Han, Ji‐Hong Park, Jiwoo Lee, Mi Kyung Kwak, Yun Mi Choi, Sun‐Joon Moon, Eun‐Gyoung Hong
    Journal of Cachexia, Sarcopenia and Muscle.2025;[Epub]     CrossRef
  • Development and validation of multicentre study on novel Artificial Intelligence-based Cardiovascular Risk Score (AICVD)
    Shiv Kumar Jalepalli, Prashant Gupta, Andre L A J Dekker, Inigo Bermejo, Sujoy Kar
    Family Medicine and Community Health.2024; 12(Suppl 1): e002340.     CrossRef
  • Predictive markers of early endothelial dysregulation in type-1 diabetes: a meta-analysis
    Ranmali Ranasinghe, Michael Mathai, Mohammed Abdullah Alshawsh, Anthony Zulli, Ranmali Ranasinghe
    Acta Diabetologica.2024; 62(6): 845.     CrossRef
  • The expanding roles of neuronal nitric oxide synthase (NOS1)
    Kundan Solanki, Sajjan Rajpoot, Evgeny E. Bezsonov, Alexander N. Orekhov, Rohit Saluja, Anita Wary, Cassondra Axen, Kishore Wary, Mirza S. Baig
    PeerJ.2022; 10: e13651.     CrossRef
  • Obesity and metabolic outcomes in a safety-net health system
    Michael P. Huynh, Patrick T. Bradshaw, Michele M. Tana, Carly Rachocki, Ma Somsouk
    Biodemography and Social Biology.2020; 65(3): 257.     CrossRef
  • Lifestyle Factors and Gender-Specific Risk of Stroke in Adults with Diabetes Mellitus: A Case-Control Study
    Jian Guo, Tianjia Guan, Ying Shen, Baohua Chao, Mei Li, Longde Wang, Yuanli Liu
    Journal of Stroke and Cerebrovascular Diseases.2018; 27(7): 1852.     CrossRef
  • Nonlinear association of BMI with all-cause and cardiovascular mortality in type 2 diabetes mellitus: a systematic review and meta-analysis of 414,587 participants in prospective studies
    Francesco Zaccardi, Nafeesa N. Dhalwani, Dimitris Papamargaritis, David R. Webb, Gavin J. Murphy, Melanie J. Davies, Kamlesh Khunti
    Diabetologia.2017; 60(2): 240.     CrossRef
  • Determinants of mortality in patients with type 2 diabetes: a review
    Jana Engelmann, Ulf Manuwald, Constanze Rubach, Joachim Kugler, Andreas L. Birkenfeld, Markolf Hanefeld, Ulrike Rothe
    Reviews in Endocrine and Metabolic Disorders.2016; 17(1): 129.     CrossRef
  • Analysis between nitric oxide synthase 1 (NOS1) and risk of obesity
    Hyun Kyung Park, Su Kang Kim, Oh Young Kwon, Joo-Ho Chung, Seong-Kyu Lee
    Molecular & Cellular Toxicology.2016; 12(2): 217.     CrossRef
  • Association between different obesity measures and the risk of stroke in the EPIC Spanish cohort
    Itziar Abete, Larraitz Arriola, Nerea Etxezarreta, Imanol Mozo, Conchi Moreno-Iribas, Pilar Amiano, Nerea Egüés, Estibaliz Goyenechea, Adolfo Lopez de Munain, Maite Martinez, Noemi Travier, Carmen Navarro, Maria-Dolores Chirlaque, Maria-Jose Tormo, Diana
    European Journal of Nutrition.2015; 54(3): 365.     CrossRef
  • Relationship of body mass index and abdominal obesity in rural population of Krasnodarsky kray taken
    Elena V. Bolotova, Irina V. Samorodskaya, Irina M. Komissarova
    Obesity and metabolism.2015; 13(1): 25.     CrossRef
  • Associations of prediabetes with all-cause and cardiovascular mortality: A meta-analysis
    Yi Huang, Xiaoyan Cai, Peisong Chen, Weiyi Mai, Hongfeng Tang, Yuli Huang, Yunzhao Hu
    Annals of Medicine.2014; 46(8): 684.     CrossRef
  • High Peritoneal Transport Status Was Not Associated with Mortality in Peritoneal Dialysis Patients with Diabetes
    Naya Huang, Jiehui Chen, Li Fan, Qian Zhou, Qingdong Xu, Ricong Xu, Liping Xiong, Xueqing Yu, Haiping Mao, Zhanjun Jia
    PLoS ONE.2014; 9(10): e110445.     CrossRef
  • Body Mass Index and Mortality Among Japanese Patients With Type 2 Diabetes: Pooled Analysis of the Japan Diabetes Complications Study and the Japanese Elderly Diabetes Intervention Trial
    Shiro Tanaka, Sachiko Tanaka, Satoshi Iimuro, Yasuo Akanuma, Yasuo Ohashi, Nobuhiro Yamada, Atsushi Araki, Hideki Ito, Hirohito Sone
    The Journal of Clinical Endocrinology & Metabolism.2014; 99(12): E2692.     CrossRef
  • Validação cruzada entre o percentual de gordura mensurado pela absortometria radiológica de dupla energia e a equação de Deurenberg em idosas
    Piettra Moura Galvão-Pereira, Giselma Alcantara-Silva, Adriano Eduardo Lima-Silva, Dante Wanderley Lima, Amandio Aristides Rihan Geraldes
    Revista Brasileira de Geriatria e Gerontologia.2013; 16(4): 681.     CrossRef
Smoking Is Associated With Abdominal Obesity, Not Overall Obesity, in Men With Type 2 Diabetes
Ji Eun Yun, Heejin Kimm, Young Ju Choi, Sun Ha Jee, Kap Bum Huh
J Prev Med Public Health. 2012;45(5):316-322.   Published online September 28, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.5.316
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AbstractAbstract PDF
Objectives

Abdominal obesity increases mortality and morbidity from cardiovascular disease and there is a possibility that smoking effects obesity. However, previous studies concerning the effects of smoking on obesity are inconsistent. The objective of this study was to examine whether smoking is positively related to abdominal obesity in men with type 2 diabetes.

Methods

Subjects consisted of 2197 type 2 diabetic patients who visited Huh's Diabetes Center from 2003 to 2009. Indices of abdominal obesity were defined as visceral fat thickness (VFT) measured by ultrasonography and waist circumference (WC). Overall obesity was defined as body mass index (BMI).

Results

Statistically significant differences in WC and VFT by smoking status were identified. However, there was no statistical difference in BMI according to smoking status. Means of WC and VFT were not significantly higher in heavy smokers and lower in mild smokers. Compared to nonsmokers, the BMI confounder adjusted odds ratio and 95% confidence interval for VFT in ex-smokers and current-smokers were 1.70 (1.21 to 2.39) and 1.86 (1.27 to 2.73), respectively.

Conclusions

Smoking status was positively associated with abdominal obesity in type 2 diabetic patients.

Summary

Citations

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  • The association between smoking and metabolic syndrome: a systematic review and meta-analysis
    Elahe Mansouri Yekta, Farzad Khodamoradi, Zahra Beygi, Fateme Shakeri Shamsi, Hosein Azizi, Kimia Parvardeh, Maryam Daria, Maedeh Arshadi
    Journal of Public Health.2025;[Epub]     CrossRef
  • Effect of Sodium Butyrate Supplementation on Type 2 Diabetes—Literature Review
    Wiktoria Krauze, Nikola Busz, Weronika Pikuła, Martyna Maternowska, Piotr Prowans, Dominika Maciejewska-Markiewicz
    Nutrients.2025; 17(11): 1753.     CrossRef
  • Global risk factors, epidemiology, and disease burden of type 2 diabetes
    Kang Chen, Haojie Zhang, Nianwei Wu, Bing Li, Sheyu Li, Yiming Mu
    Science China Life Sciences.2025;[Epub]     CrossRef
  • Nutritional status of people who inject drugs in Coastal Kenya: a cross-sectional study
    Valentine Budambula, Moses Ngari, Nancy L.M. Budambula, Aabid A. Ahmed, Tom Were
    BMC Nutrition.2024;[Epub]     CrossRef
  • Association between waist circumference or weight change after smoking cessation and incidence of cardiovascular disease or all-cause death in Korean adults with type 2 diabetes
    Heajung Lee, Jaeyong Shin, Jae Woo Choi
    Frontiers in Endocrinology.2024;[Epub]     CrossRef
  • Smoking and cardiovascular disease in patients with type 2 diabetes: a prospective observational study
    Peder af Geijerstam, Fredrik Janryd, Fredrik H. Nyström
    Journal of Cardiovascular Medicine.2023; 24(11): 802.     CrossRef
  • Prevalence and Predictors of Combined Body Mass Index and Waist Circumference Among Indian Adults
    Neha Shri, Saurabh Singh, Akancha Singh
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China
    Chuan Huang, Ying Zhang, Ya Liu, Jian-Xiong Liu, Yong-Mei Hu, Wei-Wei Tang, Tzung-Dau Wang, Xiao-bo Huang
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Exploring the Impact of the Obesity Paradox on Lung Cancer and Other Malignancies
    Lindsay Joyce Nitsche, Sarbajit Mukherjee, Kareena Cheruvu, Cathleen Krabak, Rohit Rachala, Kalyan Ratnakaram, Priyanka Sharma, Maddy Singh, Sai Yendamuri
    Cancers.2022; 14(6): 1440.     CrossRef
  • Long-Term Adverse Effects of Cigarette Smoking on the Incidence Risk of Metabolic Syndrome With a Dose-Response Relationship: Longitudinal Findings of the Korean Genome and Epidemiology Study Over 12 Years
    Ae Hee Kim, In-Ho Seo, Hye Sun Lee, Yong-Jae Lee
    Endocrine Practice.2022; 28(6): 603.     CrossRef
  • Sex-Dependent Effects of Inhaled Nicotine on the Gut Microbiome
    Anna K Whitehead, Margaret C Meyers, Christopher M Taylor, Meng Luo, Scot E Dowd, Xinping Yue, Lauri O Byerley
    Nicotine & Tobacco Research.2022; 24(9): 1363.     CrossRef
  • Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations
    Sarka Kunzova, Andrea Maugeri, Jose Medina-Inojosa, Francisco Lopez-Jimenez, Manlio Vinciguerra, Pedro Marques-Vidal
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
    Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
    Medicina.2019; 55(9): 546.     CrossRef
  • Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men
    Su Wang, Jie Chen, Yuzhong Wang, Yu Yang, Danyu Zhang, Chao Liu, Kun Wang
    Journal of Diabetes Research.2019; 2019: 1.     CrossRef
  • Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors
    Inkyung Baik
    Nutrition Research and Practice.2018; 12(3): 251.     CrossRef
  • Obesity in Older Type 2 Diabetic Patients: Does Working Environment Add Vulnerability?
    Maria Piedade Brandão, Margarida Fonseca Cardoso
    International Journal of Environmental Research and Public Health.2018; 15(12): 2677.     CrossRef
  • Smoking and the risk of type 2 diabetes
    Judith Maddatu, Emily Anderson-Baucum, Carmella Evans-Molina
    Translational Research.2017; 184: 101.     CrossRef
  • Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan
    Yukako Tatsumi, Yoko M Nakao, Izuru Masuda, Aya Higashiyama, Misa Takegami, Kunihiro Nishimura, Makoto Watanabe, Takayoshi Ohkubo, Tomonori Okamura, Yoshihiro Miyamoto
    BMJ Open.2017; 7(1): e013831.     CrossRef
  • Metabolic effects of smoking cessation
    Kindred K. Harris, Mohan Zopey, Theodore C. Friedman
    Nature Reviews Endocrinology.2016; 12(5): 299.     CrossRef
  • Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study
    Eeva-Liisa Tuovinen, Suoma E. Saarni, Satu Männistö, Katja Borodulin, Kristiina Patja, Taru H. Kinnunen, Jaakko Kaprio, Tellervo Korhonen
    Preventive Medicine Reports.2016; 4: 324.     CrossRef
  • Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study
    Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao, Mohammed Akaaboune
    PLoS ONE.2014; 9(7): e102220.     CrossRef
Relationship Between Body Mass Index and Early Menarche of Adolescent Girls in Seoul
Chang-Mo Oh, In-Hwan Oh, Kyung-Sik Choi, Bong-Keun Choe, Tai-Young Yoon, Joong-Myung Choi
J Prev Med Public Health. 2012;45(4):227-234.   Published online July 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.4.227
  • 15,826 View
  • 152 Download
  • 29 Crossref
AbstractAbstract PDF
Objectives

The object of this study was to determine the relationship between body mass index (BMI) and early menarche in adolescent girls in Seoul.

Methods

A retrospective study was conducted with 144 middle school students in Seoul who provided informed consent. We measured their body composition, and used the questionnaire survey method for data collection from November to December 2008. Past elemental body composition data were collected from elementary school health records of first year of middle school.

Results

The early menarcheal group was taller and heavier than the late menarcheal group (p<0.05 from 8-12 years old). The body fat percentage (%), BMI were higher in the early menarcheal girls than the late-menarcheal girls (p<0.05, age at 13). In the result of multiple logistic regression, the BMI at the age of 8 and 9 was associated with early menarche after adjusting for birth weight, breast feeding and age at menarche of the mother (BMI at the age of 8: p for trend=0.01, BMI at the age of 9: p for trend=0.04). An increase in BMI from 7 to 8 year was associated with early menarche after adjusting for birth weight, breast feeding, age at menarche of the mother (p for trend=0.048).

Conclusions

The BMI at the age of 8 and 9 was associated with the early menarche of girls and increase in BMI from 7 to 8 year was associated with the early menarche of girls. These results suggest that BMI and increase in BMI before menarche cause early menarche. Although this study does not represent all Korean adolescent girls, it is one of the few studies that have investigated the temporal relationship between BMI and early menarche.

Summary

Citations

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  • Association Between Age at Menarche and Cardiovascular Disease Among African American Women in the Jackson Heart Study
    Benjamin H. Walker, Emberly Katelyn Jackson, Kenzie L. Hargrove, Elizabeth Heitman, Jennifer C. Reneker
    Public Health Reports®.2026;[Epub]     CrossRef
  • Secular Trends in the Median Age at Menarche and Spermarche Among Chinese Children From 2000 to 2019 and Analysis of Physical Examination Indicators Factor
    Jiajia Hu, Wenhao Han, Meng Zhou, Yixiao Geng, Junna Zhang, Fanke Zhou, Wencan Wu, Xiaolei Ban, Xiaomin Lou, Xian Wang
    American Journal of Human Biology.2025;[Epub]     CrossRef
  • Dietary patterns and age at menarche in a prospective study of girls in the USA
    C P Davis, S Fest, K Cushing-Haugen, T W Kensler, J E Chavarro, H R Harris
    Human Reproduction.2025; 40(6): 1087.     CrossRef
  • Association of early menarche with elevated BMI, lower body height and relative leg length among 14- to 16-year-old post-menarcheal girls from a Maya community in Yucatan, Mexico
    Sudip Datta Banik
    Anthropological Review.2022; 85(1): 85.     CrossRef
  • Prepubertal BMI, pubertal growth patterns, and long-term BMI: Results from a longitudinal analysis in Chinese children and adolescents from 2005 to 2016
    Yanhui Li, Di Gao, Jieyu Liu, Zhaogeng Yang, Bo Wen, Li Chen, Manman Chen, Ying Ma, Tao Ma, Bin Dong, Yi Song, Sizhe Huang, Yanhui Dong, Jun Ma
    European Journal of Clinical Nutrition.2022; 76(10): 1432.     CrossRef
  • Age at Menarche, Growth Velocity, and Adiposity Indices in Italian Girls Aged 10 to 14
    Emanuela Gualdi-Russo, Natascia Rinaldo, Gianni Mazzoni, Simona Mandini, Sabrina Masotti, Stefania Toselli, Luciana Zaccagni
    Children.2022; 9(12): 1928.     CrossRef
  • Indicators of nutritional status and physical activity level as factors associated with the onset of menarche of ten year old girls from Zadar county, Croatia
    Donata Vidaković Samaržija, Marjeta Mišigoj-Duraković, Lara Pavelić Karamatić
    International Journal of Adolescent Medicine and Health .2021; 33(3): 219.     CrossRef
  • Marginal Food Security Predicts Earlier Age at Menarche Among Girls From the 2009-2014 National Health and Nutrition Examination Surveys
    Mecca E. Burris, Andrea S. Wiley
    Journal of Pediatric and Adolescent Gynecology.2021; 34(4): 462.     CrossRef
  • Factors associated with the prevalence of HIV, HSV-2, pregnancy, and reported sexual activity among adolescent girls in rural western Kenya: A cross-sectional analysis of baseline data in a cluster randomized controlled trial
    Garazi Zulaika, Elizabeth Nyothach, Anna Maria van Eijk, David Obor, Linda Mason, Duolao Wang, Tao Chen, Emily Kerubo, Valarie Opollo, Isaac Ngere, Samuel Omondi Owino, Boaz Oyaro, Feiko O. ter Kuile, Daniel Kwaro, Penelope Phillips-Howard, Kathryn Mary Y
    PLOS Medicine.2021; 18(9): e1003756.     CrossRef
  • The relationship between short stature and menstrual pattern in a large cohort of Iranian girls
    Seyed Kazem Farahmand, Maryam Emadzadeh, Golnaz Ghayyem Hassankhani, Mahsa Mirbirjandian, Taraneh Rafiezadeh, Zahra Abasalti, Sayyed Saeid Khayyatzadeh, Afsane Bahrami, Seyed-Amir Tabatabaeizadeh, Maryam Tayefi, Gordon A. Ferns, Kayhan Gonoodi, Alireza Mo
    Journal of Obstetrics and Gynaecology.2020; 40(2): 228.     CrossRef
  • Age at menarche, menstrual characteristics, and its associated morbidities among secondary school students in Abakaliki, southeast Nigeria
    Chidebe C. Anikwe, Johnbosco E. Mamah, Bartholomew C. Okorochukwu, Ugochukwu U. Nnadozie, Chukwuemeka H. Obarezi, Kenneth C. Ekwedigwe
    Heliyon.2020; 6(5): e04018.     CrossRef
  • Knowledge of peri-menarcheal changes and a comparative analysis of the age at menarche among young adolescent school girls in urban and rural Cameroon
    Atem Bethel Ajong, Nkengazem Nerry Tankala, Martin Ndinakie Yakum, Ikei Solange Azenoi, Bruno Kenfack
    BMC Public Health.2020;[Epub]     CrossRef
  • Prevalence of breast cancer-related risk factors in underweight premenopausal women: the Korea National Health and Nutrition Examination Survey IV–VI
    Joo Heung Kim, Kwang Hyun Yoon, Ho Hur, Seho Park, Jee Ye Kim, Hyung Seok Park, Seung II Kim, Young Up Cho, Byeong-Woo Park
    Breast Cancer Research and Treatment.2019; 174(2): 515.     CrossRef
  • Time Trends in Age at Menarche and Related Non-Communicable Disease Risk during the 20th Century in Mexico
    Inga Petersohn, Arli G. Zarate-Ortiz, Ana C. Cepeda-Lopez, Alida Melse-Boonstra
    Nutrients.2019; 11(2): 394.     CrossRef
  • Age at Menarche and Its Related Factors Among Students of Qaen, Eastern Iran: A School-Based Cross-Sectional Study
    Asma Tiyuri, Malaknaz Ghannadkafi, Amir Tiyuri, Najmeh Bahramian
    Journal of Comprehensive Pediatrics.2019;[Epub]     CrossRef
  • Lifestyle and prevalence of dysmenorrhea among Spanish female university students
    Elia Fernández-Martínez, María Dolores Onieva-Zafra, María Laura Parra-Fernández, Antonio Palazón-Bru
    PLOS ONE.2018; 13(8): e0201894.     CrossRef
  • Detrimental Effects of Higher Body Mass Index and Smoking Habits on Menstrual Cycles in Korean Women
    An Na Jung, Ju Hwan Park, Jihyun Kim, Seok Hyun Kim, Byung Chul Jee, Byung Heun Cha, Jae Woong Sull, Jin Hyun Jun
    Journal of Women's Health.2017; 26(1): 83.     CrossRef
  • Earlier age at menarche in girls with rapid early life growth: cohort and within sibling analyses
    Julie D. Flom, Barbara A. Cohn, Parisa Tehranifar, Lauren C. Houghton, Ying Wei, Angeline Protacio, Piera Cirillo, Karin B. Michels, Mary Beth Terry
    Annals of Epidemiology.2017; 27(3): 187.     CrossRef
  • Association between Obesity and Puberty Timing: A Systematic Review and Meta-Analysis
    Wenyan Li, Qin Liu, Xu Deng, Yiwen Chen, Shudan Liu, Mary Story
    International Journal of Environmental Research and Public Health.2017; 14(10): 1266.     CrossRef
  • Pattern of teen menstruation among secondary school girls in south east Nigeria
    Ada R.C. Nwokocha, Josephat M. Chinawa, Agozie C. Ubesie, Vivian I. Onukwuli, Pius C. Manyike
    Journal of Pediatric Endocrinology and Metabolism.2016;[Epub]     CrossRef
  • Age related changes in pelvis size among adolescent and adult females with reference to parturition from Naraingarh, Haryana (India)
    Krishan Sharma, Puneet Gupta, Shailza Shandilya
    HOMO.2016; 67(4): 273.     CrossRef
  • Early menarche in normal-weight girls and its association with excess weight, abdominal obesity and metabolic changes at the end of sexual maturation
    M L D Araújo, P C Cabral, I K G de Arruda, A Silva Diniz, M da Conceição Chaves de Lemos, G Q Morais
    European Journal of Clinical Nutrition.2016; 70(11): 1278.     CrossRef
  • Secular Trends and Influencing Factors for the Early Menarche among Korean Middle and High School Girls
    Dallong Han, Jongeun Lee, Seonho Kim
    The Journal of the Korea Contents Association.2016; 16(3): 319.     CrossRef
  • Earlier menarcheal age in Spanish girls is related with an increase in body mass index between pre‐pubertal school age and adolescence
    T. Gavela‐Pérez, C. Garcés, P. Navarro‐Sánchez, L. López Villanueva, L. Soriano‐Guillén
    Pediatric Obesity.2015; 10(6): 410.     CrossRef
  • Determinants of age at menarche in Korean elementary school girls
    Mi-Kyoung Kwon, Eun Min Seo, Kyong Park
    Journal of Nutrition and Health.2015; 48(4): 344.     CrossRef
  • Height Growth and Percentage of Body Fat in Relation to Early Menarche in Girls from Merida, Yucatan, Mexico
    Sudip Datta Banik, Nina Mendez, Federico Dickinson
    Ecology of Food and Nutrition.2015; 54(6): 644.     CrossRef
  • A Significant Increase in the Incidence of Central Precocious Puberty among Korean Girls from 2004 to 2010
    Shin Hye Kim, Kyoung Huh, Sungho Won, Kuk-Wha Lee, Mi-Jung Park, Antonio Gonzalez-Bulnes
    PLOS ONE.2015; 10(11): e0141844.     CrossRef
  • Relationship of age at menarche on anthropometric index and menstrual irregularity in late adolescent girls in Seoul
    Seung Eun Lee, Joo Yun Yang, Ji Hyun Lee, Han Wool Kim, Hae Soon Kim, Hye Jin Lee, Ji Young Oh, Yeon Ah Sung
    Annals of Pediatric Endocrinology & Metabolism.2013; 18(3): 116.     CrossRef
  • Overview of Noncommunicable Diseases in Korean Children and Adolescents: Focus on Obesity and Its Effect on Metabolic Syndrome
    Hye Ah Lee, Hyesook Park
    Journal of Preventive Medicine and Public Health.2013; 46(4): 173.     CrossRef
Differences in Obesity Rates Between People With and Without Disabilities and the Association of Disability and Obesity: A Nationwide Population Study in South Korea
Moo-Kyung Oh, Hyeongap Jang, Yong-Ik Kim, Belong Jo, Yoon Kim, Jong-Heon Park, Jin-Seok Lee
J Prev Med Public Health. 2012;45(4):211-218.   Published online July 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.4.211
  • 12,042 View
  • 74 Download
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AbstractAbstract PDF
Objectives

The objective of this study was to identify the differences in obesity rates among people with and without disabilities, and evaluate the relationship between obesity rates and the existence of disabilities or characteristics of disabilities.

Methods

Mass screening data from 2008 from the National Disability Registry and National Health Insurance (NHI) are used. For analysis, we classified physical disability into three subtypes: upper limb disability, lower limb disability, and spinal cord injury. For a control group, we extracted people without disabilities by each subtype. To adjust for the participation rate in the NHI mass screening, we calculated and adopted the weight stratified by sex, age, and grade of disability. Differences in obesity rates between people with and without disabilities were examined by a chi-squared test. In addition, the effect of the existence of disabilities and grade of disabilities on obesity was examined by multiple logistic regression analysis.

Results

People with disabilities were found to have a higher obesity rate than those without disabilities. The obesity rates were 35.2% and 35.0% (people with disabilities vs. without disabilities) in the upper limb disability, 44.5% and 34.8% in the lower limb disability, 43.4% and 34.6% in the spinal cord injury. The odds for existence of physical disability and grade of disability are higher than the non-disabilities.

Conclusions

These results show that people with physical disability have a higher vulnerability to obesity.

Summary

Citations

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    Revista Española de Cardiología.2026; 79(1): 3.     CrossRef
  • Association of disability with cardiovascular mortality in the community-dwelling Spanish adult population
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    Revista Española de Cardiología (English Edition).2026; 79(1): 3.     CrossRef
  • Exploring the Relationship Between Participation in Leisure Sports Activities, Health Behaviors, and Life Satisfaction Among Older Adults with Disabilities
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    Medicina.2025; 61(4): 713.     CrossRef
  • Weight history of individuals with and without physical disability in the International Weight Control Registry
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    Obesity Science & Practice.2024;[Epub]     CrossRef
  • Health-related Physical Fitness, Blood Pressure, and Body Mass Index among People with Intellectual Disability, Visual Impairment, and Hearing Impairment
    Young Hoon Kim, Su Hyun Kim, Taegyu Kim, Rui Ma
    Exercise Science.2024; 33(1): 93.     CrossRef
  • Pilot evaluation of a behavioral weight loss program for adults with physical disabilities: State of Slim Everybody usability and feasibility
    Julianne G. Clina, Holly R. Wyatt, James O. Hill, Christine C. Ferguson, Hui‐Ju Young, James H. Rimmer
    Obesity Science & Practice.2024;[Epub]     CrossRef
  • Adapting an evidence-based physical activity questionnaire for people with physical disabilities: A methodological process
    Julianne G. Clina, Cassandra Herman, Christine C. Ferguson, James H. Rimmer
    Disability and Health Journal.2023; 16(3): 101447.     CrossRef
  • Investigation of the Relationship Between Psychiatry Visit and Suicide After Deliberate Self-harm: Longitudinal National Cohort Study
    Hye Hyeon Kim, Chanyoung Ko, Ji Ae Park, In Han Song, Yu Rang Park
    JMIR Public Health and Surveillance.2023; 9: e41261.     CrossRef
  • A cross‐sectional study on the use of big data for the past H1N1 influenza epidemic in obesity after COVID‐19: Focused on the body slimming cream and leptin via DTC gene test
    Jinkyung Lee, Ki Han Kwon
    Journal of Cosmetic Dermatology.2022; 21(11): 5321.     CrossRef
  • A Study on the Research Trends on Obese People with Disabilities: Focused on Domestic Journal
    Jung-Sik Park, Yun-Kyung Song
    Journal of Korean Medicine for Obesity Research.2019; 19(1): 68.     CrossRef
  • Association of employment status and income with self-rated health among waged workers with disabilities in South Korea: population-based panel study
    Jae Woo Choi, Juyeong Kim, Euna Han, Tae Hyun Kim
    BMJ Open.2019; 9(11): e032174.     CrossRef
  • The complexity of reaching and maintaining a healthy body weight – the experience from adults with a mobility disability
    Marianne Holmgren, Magnus Sandberg, Gerd Ahlström
    BMC Obesity.2018;[Epub]     CrossRef
  • The bidirectional association between body weight and mobility disability: A population-based cohort
    Jeroen S. de Munter, Per Tynelius, Gerd Ahlström, Finn Rasmussen
    Disability and Health Journal.2016; 9(4): 632.     CrossRef
  • Effects of a walking exercise program for obese individuals with intellectual disability staying in a residential care facility
    Sungmin Son, Byoungjin Jeon, Heejung Kim
    Journal of Physical Therapy Science.2016; 28(3): 788.     CrossRef
  • Impacts of mobility disability and high and increasing body mass index on health-related quality of life and participation in society: a population-based cohort study from Sweden
    Marianne Holmgren, Anna Lindgren, Jeroen de Munter, Finn Rasmussen, Gerd Ahlström
    BMC Public Health.2014;[Epub]     CrossRef
  • Comparison of sarcopenic status between elderly leprosy survivors and general population
    Won Kim, Hee Won Park, Byung Kwan Hwang, Soon Ook Bae, In Kwon Kim, Sun G. Chung
    Archives of Gerontology and Geriatrics.2014; 58(1): 134.     CrossRef
  • Recent Developments in Obesity Research: Linkages between Obesity, Disability, and Physical Functioning
    Sandra L. Reynolds
    Current Obesity Reports.2013; 2(3): 267.     CrossRef
Validation Studies
Validity of Self-Reported Height, Weight, and Body Mass Index of the Korea Youth Risk Behavior Web-Based Survey Questionnaire.
Jisuk Bae, Hyojee Joung, Jong Yeon Kim, Kyoung Nam Kwon, Yoonjung Kim, Soon Woo Park
J Prev Med Public Health. 2010;43(5):396-402.
DOI: https://doi.org/10.3961/jpmph.2010.43.5.396
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AbstractAbstract PDF
OBJECTIVES
Self-reported anthropometric values, such as height and weight, are used to calculate body mass index (BMI) and assess the prevalence of obesity among adolescents. The aim of this study was to evaluate the validity of self-reported height, weight, and BMI of the Korea Youth Risk Behavior Web-based Survey questionnaire. METHODS: A convenience sample of 137 middle school students and 242 high school students completed a self-administered questionnaire in 2008. Body height and weight were directly measured after self-reported values were obtained from the questionnaire survey. Sensitivity, specificity, and kappa statistics were computed in order to evaluate the validity of the prevalence of obesity (BMI > or = 95th percentile or > or = 25 kg/m2) based on self-reported data. RESULTS: Self-reported weight and BMI tended to be underestimated. Self-reported height tended to be overestimated among middle school females and high school males. Obese adolescents tended to underestimate their weight and BMI and overestimate their height more than non-obese adolescents. The prevalence estimate of obesity based on self-reported data (10.6%) was lower than that based on directly measured data (15.3%). The estimated sensitivity of obesity based on self-reported data was 69.0% and the specificity was 100.0%. The value of kappa was 0.79 (95% confidence interval, 0.70-0.88). CONCLUSIONS: This study demonstrated that self-reported height and weight may lead to the underestimation of BMI and consequently the prevalence of obesity. These biases should be taken into account when self-reported data are used for monitoring the prevalence and trends of obesity among adolescents nationwide.
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  • The moderated mediating effect of BMI in the relationship between smartphone dependency, self-esteem, and academic helplessness among Korean middle school students: A secondary data analysis
    Eunha Jeong
    Acta Psychologica.2025; 257: 105082.     CrossRef
  • Breakfast Skipping Among Dormitory- and Home-Residing High School Students: Insights from the Korea Youth Risk Behavior Survey 2018–2024
    Jeong Mi Lee, Jee-Seon Shim
    Nutrients.2025; 17(20): 3190.     CrossRef
  • Association between body mass index and atopic dermatitis among adolescents: Findings from a national cross-sectional study in Korea
    Jae Hyeok Lim, Yun Seo Jang, Dan Bi Kim, Suk-Yong Jang, Eun-Cheol Park, Dong Keon Yon
    PLOS ONE.2024; 19(7): e0307140.     CrossRef
  • Mukbang and Cookbang watching and dietary behavior in Korean adolescents
    Jimin Sung, Jae-Young Hong, Jihong Kim, Jihye Jung, Seoeun Choi, Ji Yun Kang, Mi Ah Han
    Nutrition Research and Practice.2024; 18(4): 523.     CrossRef
  • Difference in Sugar-Sweetened Beverage Consumption before and during the COVID-19 Pandemic among Korean Adolescents
    Munsu Park, Dahyun Kim, Mingee Choi, Jaeyong Shin
    The Journal of Nutrition.2023; 153(8): 2147.     CrossRef
  • Factors affecting the use of herbal medicines for weight loss in overweight and obese adolescents
    Mi Hong Yim, Boram Lee
    Frontiers in Pediatrics.2023;[Epub]     CrossRef
  • Trends in socioeconomic inequalities in obesity among Korean adolescents: the Korea Youth Risk Behavior Web-based Survey (KYRBS) 2006 to 2020
    Eunji Kim, Ga Bin Lee, Dong Keon Yon, Hyeon Chang Kim
    Epidemiology and Health.2023; 45: e2023033.     CrossRef
  • Physical activity levels, exercise preferences, and exercise barriers in Korean children and adolescents after cancer treatment
    Ji Young Kim, Samuel Yoo, Su Jin Yeon, Ji Hee Min, Dong-il Kim, Ji Won Lee, Jung Woo Han, Chuhl Joo Lyu, Justin Y. Jeon
    Supportive Care in Cancer.2022; 30(2): 1787.     CrossRef
  • Association Between Graphic Health Warning Labels on Cigarette Packs and Smoking Cessation Attempts in Korean Adolescent Smokers: A Cross-Sectional Study
    Hye Jin Joo, Jae Hong Joo, Seung Hoon Kim, Eun-Cheol Park, Sung-In Jang
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Adolescent’s self-reported weight and its association with media impact on decision to lose weight and body thinness perception
    Hazzaa M. Al-Hazzaa, Balqees A. Al-Awadhi, Yousef A. Al-Dashti, Fahhad A. Alajmi, Fawaz D. Almansour, Ahmed R. Al-Haifi
    Scientific Reports.2022;[Epub]     CrossRef
  • Trends in Obesity and Obesity-Related Risk Factors among Adolescents in Korea from 2009 to 2019
    Eunok Park, Young Ko
    International Journal of Environmental Research and Public Health.2022; 19(9): 5672.     CrossRef
  • Factors associated with body image perception of adolescents
    Hyunju Chae
    Acta Psychologica.2022; 227: 103620.     CrossRef
  • Association of Household Type and Fast-Food Consumption in Korean Adolescents
    Hwa Sook Kwon, Soo Hyun Kang, Yu Shin Park, Jung Gu Kang, Eun Cheol Park
    Nutrients.2022; 14(15): 3024.     CrossRef
  • Change of obesity prevalence and lifestyle patterns before and during COVID-19 among Korean adolescents
    Hong Kyu Park, Jung Sub Lim
    Annals of Pediatric Endocrinology & Metabolism.2022; 27(3): 183.     CrossRef
  • Reliability of Self-Reported Height and Weight in Children: A School-Based Cross-Sectional Study and a Review
    Magali Rios-Leyvraz, Natalia Ortega, Arnaud Chiolero
    Nutrients.2022; 15(1): 75.     CrossRef
  • Energy-drink consumption is associated with asthma, allergic rhinitis, and atopic dermatitis in Korean adolescents
    Jee Hye Wee, Chanyang Min, Min Woo Park, Il-Seok Park, Bumjung Park, Hyo Geun Choi
    European Journal of Clinical Nutrition.2021; 75(7): 1077.     CrossRef
  • The Association between Vigorous Physical Activity and Stress in Adolescents with Asthma
    Sunga Kong, Wi-Young So, Seyong Jang
    International Journal of Environmental Research and Public Health.2021; 18(7): 3467.     CrossRef
  • Leisure-time and study-time Internet use and dietary risk factors in Korean adolescents
    Dohyun Byun, Rockli Kim, Hannah Oh
    The American Journal of Clinical Nutrition.2021; 114(5): 1791.     CrossRef
  • Asthma, Allergic Rhinitis, and Atopic Dermatitis Incidence in Korean Adolescents before and after COVID-19
    Hyo Geun Choi, Il Gyu Kong
    Journal of Clinical Medicine.2021; 10(15): 3446.     CrossRef
  • Changes in Dietary Habits and Exercise Pattern of Korean Adolescents from Prior to during the COVID-19 Pandemic
    So Young Kim, Dae Myoung Yoo, Chanyang Min, Hyo Geun Choi
    Nutrients.2021; 13(10): 3314.     CrossRef
  • Regional Adolescent Obesity and Overweight Status in Korea from 2018–2019: Comparison between Two Data Sources
    Dong-Hee Ryu, Su-Jin Lee
    Healthcare.2021; 9(12): 1751.     CrossRef
  • Prevalence and correlates of highly caffeinated beverage consumption among Korean adolescents
    Ho-Kyung Kwak, Jaesin Sa, Siyoung Choe, Jean-Philippe Chaput, Joon Chung, Gayle Cummings, Jounghee Lee
    Osong Public Health and Research Perspectives.2021; 12(6): 374.     CrossRef
  • Validity of Self-reported Height, Weight, Body Mass Index, and Waist Circumference in Iranian Adults
    Azadeh Aminianfar, Parvane Saneei, Maryam Nouri, Roya Shafiei, Ammar Hassanzadeh-Keshteli, Ahmad Esmaillzadeh, Peyman Adibi
    International Journal of Preventive Medicine.2021;[Epub]     CrossRef
  • Association of frequent intake of fast foods, energy drinks, or convenience food with atopic dermatitis in adolescents
    Soo Ick Cho, Hanjae Lee, Dong Hun Lee, Kyu-Han Kim
    European Journal of Nutrition.2020; 59(7): 3171.     CrossRef
  • Association of Early Menarche with Adolescent Health in the Setting of Rapidly Decreasing Age at Menarche
    Eun Jeong Yu, Seung-Ah Choe, Jae-Won Yun, Mia Son
    Journal of Pediatric and Adolescent Gynecology.2020; 33(3): 264.     CrossRef
  • The association between high hygiene scores and allergic rhinitis in Korean adolescents
    Jee Hye Wee, Min Woo Park, Chanyang Min, Il‐Seok Park, Bumjung Park, Hyo Geun Choi
    International Forum of Allergy & Rhinology.2020; 10(8): 1024.     CrossRef
  • Association of exposure to secondhand smoke at home with early age at menarche in South Korea
    S.H. Kang, J.H. Joo, S.I. Jang, E.C. Park
    Public Health.2020; 185: 144.     CrossRef
  • Poor oral health is associated with asthma, allergic rhinitis, and atopic dermatitis in Korean adolescents
    Jee Hye Wee, Min Woo Park, Chanyang Min, Il-Seok Park, Bumjung Park, Hyo Geun Choi
    Medicine.2020; 99(31): e21534.     CrossRef
  • Korean Youth with Comorbid Allergic Disease and Obesity Show Heightened Psychological Distress
    Soo Yeon Kim, Sun Ha Choi, Jong Deok Kim, In Suk Sol, Min Jung Kim, Yoon Hee Kim, Young-Chul Jung, Myung Hyun Sohn, Kyung Won Kim
    The Journal of Pediatrics.2019; 206: 99.     CrossRef
  • Validity of Measured vs. Self-Reported Height, Weight and Body-Mass Index in Urban Croatian Adolescents
    Lovro Štefan, Mario Baić, Damir Pekas
    International Journal of Sport Studies for Health.2019;[Epub]     CrossRef
  • Height development of men and women from China, South Korea, and Taiwan during the rapid economic transformation period of the 1960s–1980s
    Daniel Schwekendiek, Joerg Baten
    Economics & Human Biology.2019; 34: 169.     CrossRef
  • The Effect of Family-Based Empowerment on Obesity among Adolescents in Tana Toraja
    R. Erni Yetti, Muhammad Syafar, Andi Zulkifli, Rahayu Indriasari, Burhanuddin Bahar, Suriah ., Agus Bintara Birawida, Bagoes Widjanarko, Zadrak Tombeg, Saskiyanto Manggabara, Anto J. Hadi
    Pakistan Journal of Nutrition.2019; 18(9): 866.     CrossRef
  • Risk factors for disordered weight control behaviors among Korean adolescents: Multilevel analysis of the Korea Youth Risk Behavior Survey
    Yongjoo Kim, S. Bryn Austin, S.V. Subramanian, Jennifer J. Thomas, Kamryn T. Eddy, Debra L. Franko, Rachel F. Rodgers, Ichiro Kawachi
    International Journal of Eating Disorders.2018; 51(2): 124.     CrossRef
  • Lack of sleep is associated with internet use for leisure
    So Young Kim, Min-Su Kim, Bumjung Park, Jin-Hwan Kim, Hyo Geun Choi, Andrew Lepp
    PLOS ONE.2018; 13(1): e0191713.     CrossRef
  • Effect of the Online Game Shutdown Policy on Internet Use, Internet Addiction, and Sleeping Hours in Korean Adolescents
    Jiyun Choi, Hyunseok Cho, Seungmin Lee, Juyeong Kim, Eun-Cheol Park
    Journal of Adolescent Health.2018; 62(5): 548.     CrossRef
  • How accurate is the prevalence of overweight and obesity in children and adolescents derived from self-reported data? A meta-analysis
    Jinbo He, Zhihui Cai, Xitao Fan
    Public Health Nutrition.2018; 21(10): 1865.     CrossRef
  • Association between Parents' Country of Birth and Adolescent Depressive Symptoms: the Early Stages of Multicultural Society
    Jieun Jang, Eun-Cheol Park, Sang Ah Lee, Young Choi, Yoon Soo Choy, Woorim Kim, Sung-In Jang
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • Association between BMI for Obesity and Distress about Appearance in Korean Adolescents
    Hyo Geun Choi, Hyoseob Lim
    Journal of Korean Medical Science.2018;[Epub]     CrossRef
  • The association between sleep duration, sleep quality, and food consumption in adolescents: A cross-sectional study using the Korea Youth Risk Behavior Web-based Survey
    Chanyang Min, Hyung-Jong Kim, Il-Seok Park, Bumjung Park, Jin-Hwan Kim, Songyong Sim, Hyo Geun Choi
    BMJ Open.2018; 8(7): e022848.     CrossRef
  • Do causes of stress differ in their association with problem drinking by sex in Korean adolescents?
    Jae-Woo Choi, Eun-Cheol Park, Jae-Hyun Kim, So-Hee Park
    Addictive Behaviors.2017; 64: 62.     CrossRef
  • The Relationships Between Recreational Drug Abuse and School Records Among Korean Adolescents
    Dong-Hyun Kim, Wi-Young So
    Journal of Child & Adolescent Substance Abuse.2017; 26(1): 86.     CrossRef
  • Allergic rhinitis, atopic dermatitis, and asthma are associated with differences in school performance among Korean adolescents
    So Young Kim, Min-Su Kim, Bumjung Park, Jin-Hwan Kim, Hyo Geun Choi, Luo Zhang
    PLOS ONE.2017; 12(2): e0171394.     CrossRef
  • Physical activity, weight status and psychological well-being among a large national sample of South Korean adolescents
    Ji Hee Min, Eun-Young Lee, John C. Spence, Justin Y. Jeon
    Mental Health and Physical Activity.2017; 12: 44.     CrossRef
  • The associations between internet use time and school performance among Korean adolescents differ according to the purpose of internet use
    So Young Kim, Min-Su Kim, Bumjung Park, Jin-Hwan Kim, Hyo Geun Choi, Stefano Federici
    PLOS ONE.2017; 12(4): e0174878.     CrossRef
  • Accuracy of using self-reported data to screen children and adolescents for overweight and obesity status: A diagnostic meta-analysis
    Jinbo He, Zhihui Cai, Xitao Fan
    Obesity Research & Clinical Practice.2017; 11(3): 257.     CrossRef
  • Validity of self-reported weight and height: a cross-sectional study among Malaysian adolescents
    C. C. Kee, K. H. Lim, M. G. Sumarni, C. H. Teh, Y. Y. Chan, M. I. Nuur Hafizah, Y. K. Cheah, E. O. Tee, Y. Ahmad Faudzi, M. Amal Nasir
    BMC Medical Research Methodology.2017;[Epub]     CrossRef
  • Physical Activity, Sedentary Habits, Sleep, and Obesity are Associated with Asthma, Allergic Rhinitis, and Atopic Dermatitis in Korean Adolescents
    Man-Sup Lim, Chang Hee Lee, Songyong Sim, Sung Kwang Hong, Hyo Geun Choi
    Yonsei Medical Journal.2017; 58(5): 1040.     CrossRef
  • High stress, lack of sleep, low school performance, and suicide attempts are associated with high energy drink intake in adolescents
    So Young Kim, Songyong Sim, Hyo Geun Choi, Russell J. de Souza
    PLOS ONE.2017; 12(11): e0187759.     CrossRef
  • Atopic dermatitis is associated with active and passive cigarette smoking in adolescents
    So Young Kim, Songyong Sim, Hyo Geun Choi, Bernard Le Foll
    PLOS ONE.2017; 12(11): e0187453.     CrossRef
  • Active, passive, and electronic cigarette smoking is associated with asthma in adolescents
    So Young Kim, Songyong Sim, Hyo Geun Choi
    Scientific Reports.2017;[Epub]     CrossRef
  • Avaliação da consistência de valores de peso, altura e índice de massa corporal no questionário Consumo Alimentar e Atividade Física de Escolares: o controle da qualidade da entrada de dados no sistema
    Gilmar Mercês de Jesus, Maria Alice Altenburg de Assis, Emil Kupek, Lizziane Andrade Dias
    Revista Brasileira de Epidemiologia.2017; 20(4): 573.     CrossRef
  • Adolescent Overweight and Obesity: Links to Socioeconomic Status and Fruit and Vegetable Intakes
    Jihyun You, Jina Choo
    International Journal of Environmental Research and Public Health.2016; 13(3): 307.     CrossRef
  • Dietary Habits Are Associated With School Performance in Adolescents
    So Young Kim, Songyong Sim, Bumjung Park, Il Gyu Kong, Jin-Hwan Kim, Hyo Geun Choi
    Medicine.2016; 95(12): e3096.     CrossRef
  • Weight status misperceptions among UK adults: the use of self-reported vs. measured BMI
    Eric Robinson, Melissa Oldham
    BMC Obesity.2016;[Epub]     CrossRef
  • Data Resource Profile: The Korea Youth Risk Behavior Web-based Survey (KYRBS)
    Yoonjung Kim, Sunhye Choi, Chaemin Chun, Suyeon Park, Young-Ho Khang, Kyungwon Oh
    International Journal of Epidemiology.2016; : dyw070.     CrossRef
  • School- and Individual-level Predictors of Weight Status Misperception among Korean Adolescents: A National Online Survey
    Yongjoo Kim, Ichiro Kawachi, Martin J Tovée
    PLOS ONE.2016; 11(5): e0154826.     CrossRef
  • Association Between Alcohol Consumption and Academic Achievement: a Cross-sectional Study
    Dong Jun Sung, Wi-Young So, Taikyeong Ted. Jeong
    Central European Journal of Public Health.2016; 24(1): 45.     CrossRef
  • Association between Perceived Stress and Asthma Symptoms in Adolescents
    Do Eun Park, Seong-Kyung Cho, Jaelim Cho
    Archives of Community Medicine and Public Health.2016; 2(1): 011.     CrossRef
  • Web-Based Self-Reported Height, Weight, and Body Mass Index Among Swedish Adolescents: A Validation Study
    Sandra Ekström, Inger Kull, Sara Nilsson, Anna Bergström
    Journal of Medical Internet Research.2015; 17(3): e73.     CrossRef
  • Separating boys and girls and increasing weight? Assessing the impacts of single-sex schools through random assignment in Seoul
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    Social Science & Medicine.2015; 134: 1.     CrossRef
  • The Effect of Physical Activities on the Growth Indices in Adolescents
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  • Validity of self-reported height and weight for estimating prevalence of overweight among Estonian adolescents: the Health Behaviour in School-aged Children study
    Katrin Aasvee, Mette Rasmussen, Colette Kelly, Elvira Kurvinen, Mariano Vincenzo Giacchi, Namanjeet Ahluwalia
    BMC Research Notes.2015;[Epub]     CrossRef
  • Physical Activity, Study Sitting Time, Leisure Sitting Time, and Sleep Time Are Differently Associated With Obesity in Korean Adolescents
    Il Gyu Kong, Hyo-Jeong Lee, So Young Kim, Songyong Sim, Hyo Geun Choi
    Medicine.2015; 94(44): e1965.     CrossRef
  • Measuring Vulnerability of Urban Korean Women to Weight Management Problems
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    Food and Nutrition Sciences.2015; 06(16): 1496.     CrossRef
  • Sleep Deprivation Is Associated with Bicycle Accidents and Slip and Fall Injuries in Korean Adolescents
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    PLOS ONE.2015; 10(8): e0135753.     CrossRef
  • Prevalence and Associated Factors of Subjective Halitosis in Korean Adolescents
    So Young Kim, Songyong Sim, Sung-Gyun Kim, Bumjung Park, Hyo Geun Choi, A Al-Ahmad
    PLOS ONE.2015; 10(10): e0140214.     CrossRef
  • Association between cigarette consumption and academic achievement in Korean adolescents
    Wi-Young So
    Addiction Research & Theory.2014; 22(5): 424.     CrossRef
  • Self-reported anthropometric information cannot vouch for the accurate assessment of obesity prevalence in populations of middle-aged and older Korean individuals
    Kyuhyun Yoon, Soong-Nang Jang, Heeran Chun, Sung-il Cho
    Archives of Gerontology and Geriatrics.2014; 59(3): 584.     CrossRef
  • Systematic review to identify and appraise outcome measures used to evaluate childhood obesity treatment interventions (CoOR): evidence of purpose, application, validity, reliability and sensitivity
    Maria Bryant, Lee Ashton, Julia Brown, Susan Jebb, Judy Wright, Katharine Roberts, Jane Nixon
    Health Technology Assessment.2014; 18(51): 1.     CrossRef
  • Relationships Among Subjective Social Status, Weight Perception, Weight Control Behaviors, and Weight Status in Adolescents: Findings From the 2009 Korea Youth Risk Behaviors Web‐Based Survey
    Yeongmi Ha, Eunsook Choi, Yeongmi Seo, Tae‐gu Kim
    Journal of School Health.2013; 83(4): 273.     CrossRef
  • Body weight misperception patterns and their association with health‐related factors among adolescents in South Korea
    Hyunjung Lim, Youfa Wang
    Obesity.2013; 21(12): 2596.     CrossRef
  • Does the Duration and Time of Sleep Increase the Risk of Allergic Rhinitis? Results of the 6-Year Nationwide Korea Youth Risk Behavior Web-Based Survey
    Jeoung A. Kwon, Minjee Lee, Ki-Bong Yoo, Eun-Cheol Park, Andrej A. Romanovsky
    PLoS ONE.2013; 8(8): e72507.     CrossRef
  • Does Stress Increase the Risk of Atopic Dermatitis in Adolescents? Results of the Korea Youth Risk Behavior Web-Based Survey (KYRBWS-VI)
    Jeoung A. Kwon, Eun-Cheol Park, Minjee Lee, Ki-Bong Yoo, Sohee Park, Pal Bela Szecsi
    PLoS ONE.2013; 8(8): e67890.     CrossRef
  • Association between Overweight/Obesity and Academic Performance in South Korean Adolescents
    Jong-Hyuck Kim, Wi-Young So
    Central European Journal of Public Health.2013; 21(4): 179.     CrossRef
  • Association between weight status and recreational drug abuse in Korean adolescents
    Seong-Ik Baek, Wi-Young So
    Open Medicine.2012; 7(2): 224.     CrossRef
  • Changes in Dietary Behavior Among Adolescents and Their Association With Government Nutrition Policies in Korea, 2005-2009
    Sang Geun Bae, Jong Yeon Kim, Keon Yeop Kim, Soon Woo Park, Jisuk Bae, Won Kee Lee
    Journal of Preventive Medicine and Public Health.2012; 45(1): 47.     CrossRef
  • Association between physical activity and academic performance in Korean adolescent students
    Wi-Young So
    BMC Public Health.2012;[Epub]     CrossRef
  • The relationship between daily Internet use time and school performance in Korean adolescents
    Dong-Hyun Kim, Wi-Young So
    Open Medicine.2012; 7(4): 444.     CrossRef
  • Association between asthma and physical activity in Korean adolescents: the 3rd Korea Youth Risk Behavior Web-based Survey (KYRBWS-III)
    J.-W. Kim, W.-Y. So, Y. S. Kim
    The European Journal of Public Health.2012; 22(6): 864.     CrossRef
  • Relationship between obesity in Korean adolescents and the frequency of alcohol consumption, the amount of alcohol consumed, and the frequency of severe alcohol intoxication
    Seong-Ik Baek, Wi-Young So
    Obesity Research & Clinical Practice.2012; 6(2): e159.     CrossRef
  • Relationship Changes of Married Couples after Disaster
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    Journal of Korean Society of Hazard Mitigation.2011; 11(5): 169.     CrossRef
Original Article
The Effects of Actual and Perceived Body Weight on Unhealthy Weight Control Behaviors and Depressed Mood among Adult Women in Seoul, Korea.
Dong Sik Kim, Hyun Sun Kim, Youngtae Cho, Sung Il Cho
J Prev Med Public Health. 2008;41(5):323-330.
DOI: https://doi.org/10.3961/jpmph.2008.41.5.323
  • 7,308 View
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AbstractAbstract PDF
OBJECTIVES
This study was conducted to examine the mediating function of body weight perception (BWP) on the relationship between body mass index (BMI) and unhealthy weight control behaviors (UWCB: e.g., fasting, or taking diet pills or laxatives) and between BMI and depressed mood, and to explore the effect of distorted BWP on UWCB and depressed mood among adult women. METHODS: A regionally representative sample of 8,581 women aged 20-64 years residing in Seoul, the capital of Korea, completed the 2001 Seoul Citizens Health Indicator Survey which provides self-reported information about height, weight, BWP, UWCB, depressed mood, demographic/ socioeconomic characteristics, and health-related behaviors. Data were analyzed using bivariate and multivariate logistic regression. RESULTS: BMI was significantly associated both with UWCB and depressed mood, even controlling for all covariates. However, the magnitude and significance of each association was considerably attenuated when BWP was taken into account, indicating that BWP functioned, in part, as a mediator between BMI and UWCB and between BMI and depressed mood, respectively. Among the combinations of BMI and BWP, women who perceived themselves to be heavier than their actual BMIs appeared more likely to use UWCB, whereas women who had a distorted BWP, either underestimation or overestimation as compared with their BMIs, tended to be at greater risk for depressed mood than those who had an undistorted BWP. CONCLUSIONS: These findings suggest that how women perceive their body weight may be an important predictor and/or mediator of UWCB and depressed mood among adult Korean women.
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    Chantelle A. Magel, Emilie Lacroix, Sylia Wilson, William G. Iacono, Kristin M. von Ranson
    Development and Psychopathology.2025; 37(2): 1054.     CrossRef
  • Evaluation of Body Weight Perception Using Body Size Guides
    Sencer Kaya, Elif Ateş
    Konuralp Tıp Dergisi.2024; 16(3): 293.     CrossRef
  • Association between body shape misperception and unhealthy eating behaviors among Korean adolescents
    Yejin Kim, Bomgyeol Kim, Vasuki Rajaguru, Sang Gyu Lee, Tae Hyun Kim
    Nutrition Research and Practice.2023; 17(6): 1143.     CrossRef
  • The effects of acculturation and environment on lifestyle behaviors in Korean immigrants: the mediating role of acculturative stress and body image discrepancy
    Chorong Park, Soohyun Nam, Nancy S. Redeker, Fatma M. Shebl, Jane Dixon, Tae Hyun Jung, Robin Whittemore
    Ethnicity & Health.2022; 27(1): 157.     CrossRef
  • Consumption of Weight-control or Health Functional Foods, Dietary Habits, and Weight Perceptions According to the Body Mass Index of Adult Women in the Chungcheong Area
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  • Factors Associated With Unhealthy Weight Control Behaviors Among a Representative Sample of U.S. High School Students
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    BMC Public Health.2022;[Epub]     CrossRef
  • Association of depression and obesity is mediated by weight perception
    Renata G Paulitsch, Lauro M Demenech, Samuel C Dumith
    Journal of Health Psychology.2021; 26(11): 2020.     CrossRef
  • Is food environment associated with body mass index, overweight and obesity? A study with adults and elderly subjects from southern Brazil
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  • Associations between asthma and body weight misconceptions among South Korean adolescents: Nationwide cross-section study
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  • Understanding Body Image and Appearance Management Behaviors Among Adult Women in South Korea Within a Sociocultural Context: A Review
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  • The effect of body image on sexual quality of life in obese married women
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  • Self-perceptions of body weight status according to age-groups among Korean women: A nationwide population-based survey
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    PLOS ONE.2019; 14(1): e0210486.     CrossRef
  • Weight control behaviors according to body weight status and accuracy of weight perceptions among Korean women: a nationwide population-based survey
    Boyoung Park, Ha Na Cho, Eunji Choi, Da Hea Seo, Nam-Soon Kim, Eunja Park, Sue Kim, Yeong-Ran Park, Kui Son Choi, Yumie Rhee
    Scientific Reports.2019;[Epub]     CrossRef
  • Does perceived overweight increase risk of depressive symptoms and suicidality beyond objective weight status? A systematic review and meta-analysis
    Ashleigh Haynes, Inge Kersbergen, Angelina Sutin, Michael Daly, Eric Robinson
    Clinical Psychology Review.2019; 73: 101753.     CrossRef
  • Perception of body image and weight status in Algerian adult population: A wrong self-evaluation
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  • Weight underestimation linked to anxiety and depression in a cross-sectional study of overweight individuals in a Sami and non-Sami Norwegian population: the SAMINOR Study
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    BMJ Open.2019; 9(11): e031810.     CrossRef
  • A systematic review of the relationship between weight status perceptions and weight loss attempts, strategies, behaviours and outcomes
    A. Haynes, I. Kersbergen, A. Sutin, M. Daly, E. Robinson
    Obesity Reviews.2018; 19(3): 347.     CrossRef
  • Employment and weight status: The extreme case of body concern in South Korea
    Seung-Yong Han, Alexandra A. Brewis, Cindi SturtzSreetharan
    Economics & Human Biology.2018; 29: 115.     CrossRef
  • Body weight misperception and psychological distress among young South Korean adults: the role of physical activity
    Eun-Young Lee, Maxine Myre, Jongnam Hwang, Heeran Chun, Eunchul Seo, Roman Pabayo, John C. Spence
    Global Health Research and Policy.2017;[Epub]     CrossRef
  • Association between body size, weight change and depression: systematic review and meta-analysis
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    British Journal of Psychiatry.2017; 211(1): 14.     CrossRef
  • Body mass index and depressive symptoms in middle aged and older adults
    Jin-Won Noh, Young Dae Kwon, Jumin Park, Jinseok Kim
    BMC Public Health.2015;[Epub]     CrossRef
  • The Combined Effect of Subjective Body Image and Body Mass Index (Distorted Body Weight Perception) on Suicidal Ideation
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  • A Comparison of Dietary Habits, Weight Control Behaviors, Eating Disorder Risk, and Depression of Middle School Girls according to Various Stages of Dieting
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    Korean Journal of Community Nutrition.2015; 20(3): 178.     CrossRef
  • Interaction Effect between Weight Perception and Comorbidities on Weight Control Behavior in Overweight and Obese Adults: Is There a Sex Difference?
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    Journal of Korean Medical Science.2015; 30(8): 1017.     CrossRef
  • The Association between Body Weight Misperception and Psychosocial Factors in Korean Adult Women Less than 65 Years Old with Normal Weight
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    Journal of Korean Medical Science.2015; 30(11): 1558.     CrossRef
  • Misperception of body weight and associated factors
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  • Nurses’ misperceptions of weight status associated with their body weight, demographics and health status
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    Public Health Nutrition.2014; 17(3): 569.     CrossRef
  • Gender Differences in the Associations Among Body Mass Index, Weight Loss, Exercise, and Drinking Among College Students
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  • Body Mass Index and Weight Loss in Overweight and Obese Korean Women: The Mediating Role of Body Weight Perception
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English Abstracts
The Association between Sleep and Obesity in Korean Adults.
Young Jun Park, Won Chul Lee, Hyeon Woo Yim, Young Moon Park
J Prev Med Public Health. 2007;40(6):454-460.
DOI: https://doi.org/10.3961/jpmph.2007.40.6.454
  • 8,568 View
  • 101 Download
  • 12 Crossref
AbstractAbstract PDF
OBJECTIVES
Obesity is currently an epidemic in Korea, and sleep duration is thought to be one of the risk factors for obesity. The objective of this study was to test the hypothesis that short sleep duration is associated with obesity in Korean adults. METHODS: The data from the 2001 Korean National Health and Nutrition Survey were used, and 6,174 subjects aged 18~80 years were included in the analysis. Sleep duration was measured using information obtained from self-reported questionnaires. Obesity, the main outcome variable, was measured according to body mass index. Multiple regression modeling was used to adjust for potential confounding variables. RESULTS: The study results revealed a negative association between sleep duration and body mass index among Korean adults. These associations persisted after controlling for the potential confounding variables. CONCLUSIONS: These findings support the hypothesis that sleep duration is associated with obesity in Korean adults. In addition, these observations support earlier experimental sleep studies and provide a basis for future studies on weight control intervention by increasing the amount of sleep.
Summary

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  • Analysis of Lifelong for Health of Middle-Aged Men by Using Machine Learning Algorithm
    Jiyong Kim, Jisoo Lee, Minseo Park
    Journal of the Korean Institute of Industrial Engineers.2021; 47(6): 504.     CrossRef
  • Mental health according to sleep duration in stroke survivors: A population‐based nationwide cross‐sectional study
    Hye‐Mi Moon, Yoonjung Kim
    Geriatrics & Gerontology International.2020; 20(3): 223.     CrossRef
  • Association of Exposure to Artificial Light at Night While Sleeping With Risk of Obesity in Women
    Yong-Moon Mark Park, Alexandra J. White, Chandra L. Jackson, Clarice R. Weinberg, Dale P. Sandler
    JAMA Internal Medicine.2019; 179(8): 1061.     CrossRef
  • Population-Based Cross-Sectional Data From South Korean Adults Suggest That Sleep Duration Might be Associated With Periodontitis
    Tarek Elmajie
    Journal of Evidence Based Dental Practice.2018; 18(2): 187.     CrossRef
  • The Effect of Sleep Duration on the Risk of Unintentional Injury in Korean Adults
    Yeon-Yong Kim, Un-Na Kim, Jin-Seok Lee, Jong-Heon Park
    Journal of Preventive Medicine & Public Health.2014; 47(3): 150.     CrossRef
  • The Traditional Korean Dietary Pattern Is Associated with Decreased Risk of Metabolic Syndrome: Findings from the Korean National Health and Nutrition Examination Survey, 1998–2009
    Kyung Won Lee, Mi Sook Cho
    Journal of Medicinal Food.2014; 17(1): 43.     CrossRef
  • Factors Associated with Sleep Duration in Korean Adults: Results of a 2008 Community Health Survey in Gwangju Metropolitan City, Korea
    So Yeon Ryu, Ki Soon Kim, Mi Ah Han
    Journal of Korean Medical Science.2011; 26(9): 1124.     CrossRef
  • Short sleep duration as a possible cause of obesity: critical analysis of the epidemiological evidence
    L. S. Nielsen, K. V. Danielsen, T. I. A. Sørensen
    Obesity Reviews.2011; 12(2): 78.     CrossRef
  • Effects of poly-γ-glutamic acid on serum and brain concentrations of glutamate and GABA in diet-induced obese rats
    Hyesung Lee, Moon-Jeong Chang, Sun-Hee Kim
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Body Mass Index and Risk of Hemorrhagic Stroke in Korean Adults: Case-control Study.
Seon Ha Kim, Yong Seok Lee, Seung Mi Lee, Byung Woo Yoon, Byung Joo Park
J Prev Med Public Health. 2007;40(4):313-320.
DOI: https://doi.org/10.3961/jpmph.2007.40.4.313
  • 5,660 View
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AbstractAbstract PDF
OBJECTIVES
To evaluate the association between body mass index (BMI) and hemorrhagic stroke. METHODS: A case-control study was conducted on 2,712 persons (904 cases, 904 hospital controls, and 904 community controls) participating in an Acute Brain Bleeding Analysis study from October 2002 to March 2004. Two controls for each case were matched according to age and gender. The information was obtained by trained interviewers using standardized questionnaire. A conditional logistic regression model was used to estimate the association between BMI and the frequency of having a hemorrhagic stroke. RESULTS: Obese men (25.0 < or = BMI < 30.0 kg/m2) had an odds ratios (OR) of 1.39 (95% CI 1.03 to 1.87) a hemorrhagic stroke, compared to men with a normal BMI (18.5 to 24.9 kg/m2). Conversely, women with lower BMI had a higher risk of having hemorrhagic stroke. With respect to subtypes of hemorrahagic stroke, we observed about a three-fold increase in the risk of intracerebral hemorrhage (ICH) in the highly obese group. However, these trends were not significant in patients with subarachnoid hemorrhages. CONCLUSIONS: Obesity was identified as one of the risk factors in hemorrhagic stroke, in particular ICH. Conversely, in women, a lean body weight increases the risk of hemorrhagic stroke. Consequently, managing one\s weight is essential to reduce the risks of hemorrhagic stroke.
Summary

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    Journal of Multidisciplinary Healthcare.2024; Volume 17: 5941.     CrossRef
  • Is nontraumatic intracerebral hemorrhage different between young and elderly patients?
    Na Rae Yang, Ji Hee Kim, Jun Hyong Ahn, Jae Keun Oh, In Bok Chang, Joon Ho Song
    Neurosurgical Review.2020; 43(2): 781.     CrossRef
  • Follow-up study on mortality in Korean stroke patients
    Jee Hye Im, Kun Sei Lee, Keon Yeop Kim, Nam Soo Hong, Sang Won Lee, Hee Joon Bae
    Journal of the Korean Medical Association.2011; 54(11): 1199.     CrossRef
  • Potential bias caused by control selection in secondary data analysis: Nonaspirin nonsteroidal anti‐inflammatory drugs and hemorrhagic stroke
    Nam‐Kyong Choi, Seokyung Hahn, Byung‐Woo Yoon, Byung‐Joo Park
    Pharmacoepidemiology and Drug Safety.2010; 19(6): 604.     CrossRef
  • Socioeconomic Costs of Stroke in Korea: Estimated from the Korea National Health Insurance Claims Database
    Seung-ji Lim, Han-joong Kim, Chung-mo Nam, Hoo-sun Chang, Young-Hwa Jang, Sera Kim, Hye-Young Kang
    Journal of Preventive Medicine and Public Health.2009; 42(4): 251.     CrossRef
Original Articles
Relationship of Serum Uric Acid to Cardiovascular Risk Factors in Korean Male Workers.
So Yeon Ryu, Jong Gab Oh, Chul Gab Lee, Ki Soon Kim
Korean J Prev Med. 2002;35(3):214-220.
  • 2,834 View
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AbstractAbstract PDF
OBJECTIVES
To investigate the relationship of serum uric acid to cardiovascular risk factors in Korean male workers. METHODS: We screened 522 male workers at an electrical manufacturing company by a periodic health examination and a questionnaire survey in 2000. We collected data relating to age, smoking status, alcohol drinking status, body mass index (BMI), blood pressure, serum lipid, fasting blood glucose and serum uric acid. The data were analyzed using a variety of methods, including ANOVA, Pearson's correlation, and multivariate regression analyses, to examine the association between uric acid and cardiovascular risk factors with a cross-sectional study design. RESULTS: The concentration of serum uric acid showed positive associations with BMI, total cholesterol, triglyceride, and LDL-cholesterol; it was also significantly correlated to systolic and diastolic blood pressures. Life-style characteristics, such as smoking and alcohol drinking showed no significant association. From the multivariate regression analyses, BMI, total cholesterol and fasting blood glucose levels were found to be independent positive predictors of uric acid; while age, blood pressure and smoking status give no independent contribution explaining the variability of serum uric acid levels. Conclusions : This study demonstrates that serum uric acid level have a significant association with cardiovascular risk factors, such as BMI, total cholesterol and blood glucose in some Korean male workers.
Summary
An Approach to Survey Data with Nonresponse: Evaluation of KEPEC Data with BMI.
Jieun Baek, Weechang Kang, Youngjo Lee, Byung Joo Park
Korean J Prev Med. 2002;35(2):136-140.
  • 2,670 View
  • 23 Download
AbstractAbstract PDF
OBJECTIVES
A common problem with analyzing survey data involves incomplete data with either a nonresponse or missing data. The mail questionnaire survey conducted for collecting lifestyle variables on the members of the Korean Elderly Phamacoepidemiologic Cohort(KEPEC) in 1996 contains some nonresponse or missing data. The proper statistical method was applied to evaluate the missing pattern of a specific KEPEC data, which had no missing data in the independent variable and missing data in the response variable, BMI. METHODS: The number of study subjects was 8,689 elderly people. Initially, the BMI and significant variables that influenced the BMI were categorized. After fitting the log-linear model, the probabilities of the people on each category were estimated. The EM algorithm was implemented using a log-linear model to determine the missing mechanism causing the nonresponse. RESULTS: Age, smoking status, and a preference of spicy hot food were chosen as variables that influenced the BMI. As a result of fitting the nonignorable and ignorable nonresponse log-linear model considering these variables, the difference in the deviance in these two models was 0.0034(df=1). CONCLUSION: There is a lot of risk if an inference regarding the variables and large samples is made without considering the pattern of missing data. On the basis of these results, the missing data occurring in the BMI is the ignorable nonresponse. Therefore, when analyzing the BMI in KEPEC data, the inference can be made about the data without considering the missing data.
Summary
Timing of Menarche and Physical Growth during Childhood and Adolescence: The Kangwha Study.
Chang Soo Kim, Chung Mo Nam, Duck Hi Kim, Hyun Chang Kim, Kang Hee Lee, Sun Ha Jee, Il Suh
Korean J Prev Med. 2000;33(4):521-529.
  • 2,725 View
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AbstractAbstract PDF
OBJECTIVES
To assess height, weight and body mass index from childhood to adolescence according to the age at menarche and hence to study the influence of childhood growth on the menarche age. METHODS: "The Kangwha Study" was a community-based prospective cohort study which included the entire population of 219 female first graders in Kangwha county in 1986. Among the 219 girls, 119 girls who had received complete follow up checks during the study period(1986~1997), were included in this study, except one for whom menarche age information was unavailable. The remaining 118 girls were divided into three groups according to the timing of menarche : early(<25 percentile), intermediate and late(> or =75 percentile) maturers. RESULTS: The average age at menarche was 12.7 years : early 11.3 years, intermediate 12.6 years and late 13.7 years. The early maturers were taller and heavier between 6~8 years. But, the mean weight and body mass index at the menarche age did not differ statistically among the three groups. The weight and body mass index of the early maturers were consistently higher than those of the late maturers over the entire period of the study. CONCLUSIONS: Critical body weight and body mass index must be attained for menstruation to be attained and the age at menarche is largely determined by the childhood growth. In addition, it seems that childhood growth and age at menarche are associated with adolescent weight and body mass index.
Summary
The Risk Factors Associated with Increased Blood Pressure, Sugar and Lipids in Multi-phasic Health Checkup Examinee.
Kang Sook Lee, Sang Deog Cho, Hyun Sook Hong
Korean J Prev Med. 2000;33(1):69-75.
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AbstractAbstract PDF
OBJECTIVES
This study was conducted to evaluate the risk factors associated with cardiovascular disease. METHODS: By the questionnaire, the informations of education level, monthly income, alcohol consumption and smoking habit were obtained. Height, weight and blood pressure(BP) were measured by a trained nurse. The level of fasting blood sugar(FBS), total cholesterol, hight-density lipoprotein(HDL) cholesterol and triglyceride were tested by enzyme method about a group of 2888 males and 1696 females ages over 20 who had never taken the medication for hypertension. Statistical analysis, ANOVA, stepwise multiple regression, correlation analysis were performed using SAS package program. RESULTS: There were significant differences among age groups in systolic and diastolic blood pressure, body mass index(BMI), FBS, triglyceride and cholesterol except HDL-cholesterol. The risk factors associated with systolic and diastolic BP significantly in male were BMI, age, alcohol intake, but in female BMI, age. Smoking habit had a significant negative correlation with BP in both sex. In the group of mild hypertension (> or =140 mmHg or> or =90 mmHg defined by JNC-VI) and hypertension (> or =160 mmHg or > or = 95 mmHg defined by WHO), the percent of diabetes (FBS> or =140 mg/dl), hypercholesterolemia (> or =240 mg/dl), and hypertriglyceridemia (> or =200 mg/dl) were signifcantly higher compared with normal group in male and female. BMI, and alcohol consumption had a positive correlation with FBS, total cholesterol and triglyceride. Smoking had a positive correlation with cholesterol and triglyceride but negative correlation with HDL-cholesterol in male. The educational attainment had a negative correlation with BMI, FBS, total cholesterol and triglyceride in female. CONCLUSIONS: This study suggested that drinking, smoking, and BMI and lower educational level were associated with hypertension, hyperlipidemia and diabetes, but further evaluation was needed by prospective intervention study.
Summary
Twelve-year Incidence of Hypertension and Its Risk Factors in a Lean Population: the Kangwha Study.
Hyeon Chang Kim, Il Suh, Kang Hee Lee, Sun Ha Jee, Chang Soo Kim, Chung Mo Nam
Korean J Prev Med. 1999;32(4):435-442.
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AbstractAbstract PDF
OBJECTIVES
The purpose of this study was to examine the twelve-year incidence of hypertension, and to find risk factors for the incidence in adult population in Kangwha County, Korea. METHODS: In 1986, 413 males(mean age 37 years) and 434 females(mean age 33 years) were examined in the Kangwha Study. Among 764 non-hypertensive participants, 164 males and 214 females were reexamined in 1998. Blood pressure(BP) was measured with standard mercury sphygmomanometers. Multiple logistic regression analysis was used to estimate the relative risk of risk factors on the incidence of hypertension. RESULTS: During the 12-year period, 68 of 164 males and 53 of 214 females developed hypertension. In a multiple logistic model adjusted for age and pulse rate, baseline BP, baseline body mass index(BMI) and BMI change during the follow-up period were significantly related to the incidence of hypertension. Adjusted relative risk(RR)s of baseline high-normal BP were 3.90(95% CI: 1.81-7.84) in males, and 12.72(95% CI: 3.70-30.73) in females. Compared with lower baseline BMI group, adjusted RRs of middle baseline BMI group were 2.66(95% CI: 1.19-5.70) in males, and 2.33(95% CI: 0.95-5.55) in females. Adjusted RRs of upper baseline BMI group were 3.52(95% CI: 1.53-7.67)in males and 3.63(95% CI: 1.50-8.43) in females. Increase of BMI was positively related to the incidence in males(adjusted RR=2.71, 95% CI: 1.00-6.71) and females(adjusted RR=3.05, 95% CI: 1.29-6.88). CONCLUSIONS: The twelve-year incidence of hypertension was 41.5% in males, and 25.8% in females. Baseline BP, baseline BMI, and BMI change were strongly related to the incidence of hypertension.
Summary
A Study on the Body Fatness and Lifestyles of Some Medical Students.
Dong Kee Ahn, Joong Myung Choi, Tai Young Yoon, Dong Joon Lew, Soon Young Park
Korean J Prev Med. 1995;28(1):85-102.
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AbstractAbstract PDF
This study was carried out to evaluate the associations between lifestyles and Body Mass Index in a group of 349 male and 65 female medical students, ages 17 to 31 years. 20.0% of male students and 3.1% of female student showed the over weight in the classification of obesity by Japan Society for Study of Obesity. There was no statistically significance in the comparison of the height body weight, body mass index, obesity index and body fat(%) according to grade in both sexes. But male students showed increasing tendency of waist-hip ratio with grade. According to obesity category, there was significant difference in the comparison of body weight, body mass index , obesity index, waist-hip ratio and body fat(%), but height. Body mass index was positively related with waist-hip ratio(r=0.6150, p=0.0001) and fat(%)(r=0.5101, p=0.0001) in males and waist-hip ratio (r=0.4734, p=0.001) and fat(%)(r=0.4522, p=0.002)in females. This study provides an opportunity to further examine the relationship of sociodemographic factors and health behaviors to obesity, and suggest the basic concept to match the obesity study to general eqidemiological cohort studies for controlling of chronic adult diseases.
Summary
Twelve-year Study on Body Mass Index Changes of Obese Adolescents.
Yun Ju Kang, Il Suh, Chang Ho Hong, Jong Ku Park
Korean J Prev Med. 1994;27(4):665-676.
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AbstractAbstract PDF
The purpose of this study is to observe the longitudinal changes in BMI (Body Mass Index) of obese and non-obese 3rd. grade high school students in Seoul for 12 years and to see the trends of overt weight gain in obese adolescents. The results are as follows; 1. The average annual increasing rates of body mass indices in male students were 1.14kg/m2 in obese group and 0.59 in non-obese group. In female students, the average annual increasing rates of body mass indices were 0.93kg/m2 in obese group and 0.53kg/m2 in non-obese group. 2. The change rate of BMI for 12 years was significantly higher in obese group than non-obese group. 3. Puberty had less influence on the change rate of BMI in obese group compared to non-obese group. 4. In obese group, 71.8% of the variance in BMI at 17 can be predicted by BMI at 16 years in male students. In female students 44.4% can be predicted by BMI at age 16. 5. Among the 17-year-old obese students, 58.8% of the males and 56.2% of females were found not to have been obese at 7 years of age. 6. Among the 17-year-old obese students, those who were obese at 7 years of age were found to have higher BMI at later ages than those who were in the non-obese group. Obese adolescents were more likely to be obese in their childhood than non-obese group. There was no optimal age for the significant weight gain and the increasing rate of BMI was constantly higher in obese group than in non-obese group. Due to the fact that child obesity in early age contributes to obesity in adolescence, close observation is advised on the other hand, a large proportion of obese adolescents can be preventable by early interventions, because about 50% of obese adolescents were not obese in early elementary school age.
Summary
10-year analysis of blood lipid profile and other risk factors among aircrew members in Korea.
In Ho Kwak, Yong Ho Lee
Korean J Prev Med. 1993;26(3):387-399.
  • 2,474 View
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AbstractAbstract PDF
This study was conducted to analyzed blood lipid profile and other risk factors among crew members who are currently active and had more than 10 years of experience as crew members. Data was analyzed using medical record files in an airline medical department. The results are as follows. 1. The total number of crew members studied was 392. Among age groups, those below age 40 consisted of 26(6.9% of the total), those in age 41~50 were 135(34.4%) and those over age 51 were 230(58.7%). 263 were former air force pilots consisting 66.9%. Those who had captain status numbered 211 comprising 53.7% of the total. The type of aircraft most of the crew members involved were large size aircraft which totaled 268(68.2%). With respect to the number of working years as crew members, 488(48.9%) comprised the largest group with 11~15 years. 2. The rate of smoking among crew members has shown gradual decrease with 50.3% smoking in 1983 to 33.6% in 1993. Among 41~50 age group the rate has shown a decrease from 20.9% to 13.3%. In those group over age 51 it decreased from 25.5% to 16.6%. But group below age 40 were within the range of 3.6~3.8% with no significant change in the rate of smoking. 3. Body Mass Index in age group over 51 was slightly higher than other age groups. On the whole, BMI over 25 was not found. 4. The total cholesterol levels of those below age 40 were 196.9+/-38.5 mg/dl, 216.2+/-39.2 mg/dl in ages 41~50, and 225.1+/-42.5 mg/dl in age group over 51. No significant difference was found among age groups. 5. HDL-cholesterol levels of over age 50 were higher than other age group and ranged from 40~55 mg/dl. 6. LDL-cholesterol levels of those over 51 were 126.7+/-37.7 mg/dl higher than other age groups. But there were no significant changes in all age during 10 years of follow up. 7. Cardiac index of age group below age 40 was 3.8, 4.3 in age group 41~50 and 4.5 in those over age 51 group. No significant changes among groups were found during the follow up period. 8. Triglyceride levels of age group below age 40 was 142.2+/-70.1, 167.3+/-77.5 in age group of 41~50 and 173.6+/-89.7 in age group over 50 showing that triglyceride levels increased with age. No significant changes in pattern were noted.
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English Abstract
The Association between Serum GGT Level within Normal Range and Risk Factors of Cardiovascular Diseases.
Ji Seun Lim, Yu Jin Kim, Byung Yeol Chun, Jin Hoon Yang, Duk Hee Lee, Sin Kam
J Prev Med Public Health. 2005;38(1):101-106.
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OBJECTIVES
We conducted this study to examine the association between serum GGT levels within the normal range and the risk factors of cardiovascular diseases METHODS: We examined the cross-sectional association between serum GGT and the systolic and diastolic blood pressure, fasting blood glucose, total cholesterol, triglyceride, high density lipoprotein cholesterol (HDL-cholesterol), and uric acid among 975 subjects that participated in the health examination of a university hospital located in Daegu city. All the patients' GGT levels were within the normal range. RESULTS: After adjustment were made for age, body mass index (BMI), smoking status, drinking frequency, exercise frequency and coffee intake, the serum GGT level was positively associated with fasting blood glucose (p< 0.01), total cholesterol (p< 0.01), and triglyceride (p< 0.01) in men, and it was positively associated with fasting blood glucose (p< 0.01), total cholesterol (p< 0.05), triglyceride (p< 0.01), and uric acid (p< 0.01) in women. The associations were not significantly different depending on the status of alcohol drinking or obesity, except for the associations of serum GGT with diastolic blood pressure (P for interaction=0.04) and uric acid (P for interaction=0.04) between the lean and obese subjects. CONCLUSIONS: Serum GGT levels within the normal range were positively associated with fasting blood glucose, triglyceride and uric acid in most subgroups irrespective of the drinking or obesity status. These results suggest that GGT has important clinical implications as being more than just a marker of alcohol consumption and hepatobiliary disease.
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JPMPH : Journal of Preventive Medicine and Public Health
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