- Determinants of Poor Self-rated Health in Korean Adults With Diabetes
-
Hwi-Won Lee, Minkyo Song, Jae Jeong Yang, Daehee Kang
-
J Prev Med Public Health. 2015;48(6):287-300. Published online October 23, 2015
-
DOI: https://doi.org/10.3961/jpmph.15.048
-
-
10,350
View
-
114
Download
-
18
Crossref
-
 Abstract
 PDF Supplementary Material
- Objectives
Self-rated health is a measure of perceived health widely used in epidemiological studies. Our study investigated the determinants of poor self-rated health in middle-aged Korean adults with diabetes.
Methods
A cross-sectional study was conducted based on the Health Examinees Study. A total of 9759 adults aged 40 to 69 years who reported having physician-diagnosed diabetes were analyzed with regard to a range of health determinants, including sociodemographic, lifestyle, psychosocial, and physical variables, in association with self-rated health status using multivariate logistic regression models. A p-value <0.05 was considered to indicate statistical significance.
Results
We found that negative psychosocial conditions, including frequent stress events and severe distress according to the psychosocial well-being index, were most strongly associated with poor self-rated health (odds ratio [OR]Frequent stress events, 5.40; 95% confidence interval [CI], 4.63 to 6.29; ORSevere distress, 11.08; 95% CI, 8.77 to 14.00). Moreover, younger age and being underweight or obese were shown to be associated with poor self-rated health. Physical factors relating to participants’ medical history of diabetes, such as a younger age at diagnosis, a longer duration of diabetes, insulin therapy, hemoglobin A1c levels of 6.5% or more, and comorbidities, were other correlates of poor reported health.
Conclusions
Our findings suggest that, in addition to medical variables, unfavorable socioeconomic factors, and adverse lifestyle behaviors, younger age, being underweight or obese, and psychosocial stress could be distinc factors in predicting negative perceived health status in Korean adults with diabetes.
-
Summary
-
Citations
Citations to this article as recorded by  - A Scoping Review of Possible Solutions for Decreasing Socioeconomic Inequalities in Type 2 Diabetes Mellitus
Laleh Gharacheh, Mostafa Amini-Rarani, Amin Torabipour, Saeed Karimi
International Journal of Preventive Medicine.2024;[Epub] CrossRef - Exploring factors associated with self‐rated health in individuals with diabetes and its impact on quality of life: Evidence from the Survey of Health, Ageing, and Retirement in Europe
Rosa Marie Brückner, Aline Schönenberg, Rebecca Wientzek, Mandy Schreiber, Tino Prell
Journal of Diabetes.2024;[Epub] CrossRef - Gender Disparities in Healthy Aging: A Cross-National Comparative Study in the United States and South Korea from 2006 to 2016
Lanlan Chu, Anjelynt Lor, Mary-Genevieve Moisan, Kieu My Phi
The International Journal of Aging and Human Development.2023; 96(1): 33. CrossRef - People with Diabetes Have Poorer Self-Rated Health (SRH) and Diabetes Moderates the Association between Age and SRH
Weixi Kang, Antonio Malvaso
Diseases.2023; 11(2): 73. CrossRef - The Relationship between Self-Perceived Health and Physical Activity in the Mental Health of Korean Cancer Survivors
Sungjung Kwak, Jieun Shin, Jong-Yeup Kim
Healthcare.2023; 11(11): 1549. CrossRef - Sleep Duration, Sleep Quality, and Insomnia in Association With Self-Rated Health: A Systematic Review and Meta-Analysis
Sohrab Amiri
Sleep Medicine Research.2023; 14(2): 66. CrossRef - Diabetes Moderates the Link between Personality Traits and Self-Rated Health (SRH)
Weixi Kang
Healthcare.2023; 11(15): 2149. CrossRef - Low Social Support and Risk for Depression in People With Type 2 Diabetes Mellitus: A Systematic Review and Meta-analysis
Akhmad Azmiardi, Bhisma Murti, Ratih Puspita Febrinasari, Didik Gunawan Tamtomo
Journal of Preventive Medicine and Public Health.2022; 55(1): 37. CrossRef - Self-rated health and perceived environmental quality in Brunei Darussalam: a cross-sectional study
Evi Nurvidya Arifin, Chang-Yau Hoon, Ly Slesman, Abby Tan
BMJ Open.2022; 12(8): e060799. CrossRef - Obesity, Disability and Self-Perceived Health Outcomes in Australian Adults: A Longitudinal Analysis Using 14 Annual Waves of the HILDA Cohort
Syed Afroz Keramat, Khorshed Alam, Bright Opoku Ahinkorah, Md Sariful Islam, Md Irteja Islam, Md Zobayer Hossain, Sazia Ahmed, Jeff Gow, Stuart JH Biddle
ClinicoEconomics and Outcomes Research.2021; Volume 13: 777. CrossRef - Factors Associated with Poor Self-Rated Health in Cancer Patients
Hyo Rim Ju, Ye Rim Jeon, Seo Young Kang, Jung Ah Lee, Young Sik Kim
Korean Journal of Family Practice.2021; 11(5): 385. CrossRef - Physical Exercise, Social Interaction, Access to Care, and Community Service: Mediators in the Relationship Between Socioeconomic Status and Health Among Older Patients With Diabetes
Qingwen Deng, Wenbin Liu
Frontiers in Public Health.2020;[Epub] CrossRef - Self-rated health and the risk of incident type 2 diabetes mellitus: A cohort study
Jin-Won Noh, Yoosoo Chang, Minsun Park, Young Dae Kwon, Seungho Ryu
Scientific Reports.2019;[Epub] CrossRef - Explaining the gender gap in health services use among Ghanaian community-dwelling older cohorts
Razak M. Gyasi, David R. Phillips, Roman David
Women & Health.2019; 59(10): 1089. CrossRef - Gender, self-rated health and functional decline among community-dwelling older adults
Razak M. Gyasi, David R. Phillips
Archives of Gerontology and Geriatrics.2018; 77: 174. CrossRef - Self‐reported oral health predicts tooth loss after five and ten years in a population‐based study
Peter Meisel, Birte Holtfreter, Henry Völzke, Thomas Kocher
Journal of Clinical Periodontology.2018; 45(10): 1164. CrossRef - Body mass index and self-rated health in East Asian countries: Comparison among South Korea, China, Japan, and Taiwan
Jin-Won Noh, Jinseok Kim, Youngmi Yang, Jumin Park, Jooyoung Cheon, Young Dae Kwon, Clemens Fürnsinn
PLOS ONE.2017; 12(8): e0183881. CrossRef - Self-rated health predicts decline in instrumental activities of daily living among high-functioning community-dwelling older people
Kimiko Tomioka, Norio Kurumatani, Hiroshi Hosoi
Age and Ageing.2016;[Epub] CrossRef
- Interaction of Body Mass Index and Diabetes as Modifiers of Cardiovascular Mortality in a Cohort Study
-
Seung Hyun Ma, Bo-Young Park, Jae Jeong Yang, En-Joo Jung, Yohwan Yeo, Yungi Whang, Soung-Hoon Chang, Hai-Rim Shin, Daehee Kang, Keun-Young Yoo, Sue Kyung Park
-
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
-
-
10,484
View
-
94
Download
-
13
Crossref
-
Abstract
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). MethodsSubjects 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. ResultsCompared 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. ConclusionsThis study suggests that diabetes in lean people is more critical to CVD deaths than it is in obese people.
-
Summary
-
Citations
Citations to this article as recorded by - 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 - 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
- Reliability and Data Integration of Duplicated Test Results Using Two Bioelectrical Impedence Analysis Machines in the Korean Genome and Epidemiology Study.
-
Boyoung Park, Jae Jeong Yang, Ji Hyun Yang, Jimin Kim, Lisa Y Cho, Daehee Kang, Chol Shin, Young Seoub Hong, Bo Youl Choi, Sung Soo Kim, Man Suck Park, Sue K Park
-
J Prev Med Public Health. 2010;43(6):479-485.
-
DOI: https://doi.org/10.3961/jpmph.2010.43.6.479
-
-
5,096
View
-
92
Download
-
1
Crossref
-
Abstract
PDF
- OBJECTIVES
The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. METHODS: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October 2007 and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. RESULTS: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low R2 values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all R2>0.9). CONCLUSIONS: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.
-
Summary
-
Citations
Citations to this article as recorded by - Nutritional Consequences and Management After Gastrectomy
Jae-Moon Bae
Hanyang Medical Reviews.2011; 31(4): 254. CrossRef
- Seasonal Variation of Food Intake in Food Frequency Questionnaire among Workers in a Nuclear Power Plant.
-
Jae Jeong Yang, Sue Kyung Park, Hyun Sul Lim, Kwang Pil Ko, Younjhin Ahn, Yoon Ok Ahn
-
J Prev Med Public Health. 2007;40(3):239-248.
-
DOI: https://doi.org/10.3961/jpmph.2007.40.3.239
-
-
4,794
View
-
55
Download
-
6
Crossref
-
Abstract
PDF
- OBJECTIVES
This study was conducted to investigate the systematic error, such as seasonal change or inadequate food items, in a food frequency questionnaire administered to workers in a Nuclear Power Plant, Korea. METHODS: We performed three repeat-tests with 28 subjects on May 13, July 8 and Dec 16, 1992. Our food frequency questionnaire (FFQ) comprised 84 foods organized into 7 food-groups, and was composed of the items of usual intake frequency (8 categories) and the amount per intake (3 or 4 categories) over the previous year. We compared the means of intake frequency and the frequency of the portion-size according to each season using Repeated Measures ANOVA and Pearson's chisquare test with Fisher's exact test. RESULTS: We found the significant seasonal changes of several food items in intake frequency measurement. These items were typical seasonal foods such as mandarin orange, plum and green vegetables, while the single questions consisted of inadequate food items such as thick beef or similar soup and various kimchi products. Significant seasonal changes in portion-size were found in only two items: cooked rice-brown and fresh.frozen fishes. CONCLUSIONS: The systematic errors observed could caused loss of validity in the FFQ. Consideration should be given for seasonal variation in FFQ survey and methodological concerns are needed to improve the quality for measuring usual diet pattern.
-
Summary
-
Citations
Citations to this article as recorded by - Association between dietary patterns and periodontal disease: The OsteoPerio cohort study
Yihua Yue, Kathleen M. Hovey, Michael J. LaMonte, Jean Wactawski‐Wende, Chris A. Andrews, Amy E. Millen
Journal of Clinical Periodontology.2024; 51(7): 863. CrossRef - Relationship of Circulating Copper Level with Gestational Diabetes Mellitus: a Meta-Analysis and Systemic Review
Siyu Lian, Tingting Zhang, Yanchao Yu, Bao Zhang
Biological Trace Element Research.2021; 199(12): 4396. CrossRef - Seasonality of sodium and potassium consumption in Switzerland. Data from three cross-sectional, population-based studies
H. Marti-Soler, C. Pommier, M. Bochud, I. Guessous, B. Ponte, M. Pruijm, D. Ackermann, V. Forni Ogna, F. Paccaud, M. Burnier, A. Pechère-Bertschi, O. Devuyst, P. Marques-Vidal, I. Binet, D. Conen, P. Erne, L. Gabutti, A. Gallino, D. Hayoz, F. Muggli, P.M.
Nutrition, Metabolism and Cardiovascular Diseases.2017; 27(9): 792. CrossRef - A Prospective Study of Serum Trace Elements in Healthy Korean Pregnant Women
Rihwa Choi, Jiyu Sun, Heejin Yoo, Seonwoo Kim, Yoon Cho, Hye Kim, Sun Kim, Jae Chung, Soo-young Oh, Soo-Youn Lee
Nutrients.2016; 8(11): 749. CrossRef - Vitamin C Deficiency in a Population of Young Canadian Adults
L. Cahill, P. N. Corey, A. El-Sohemy
American Journal of Epidemiology.2009; 170(4): 464. CrossRef - Seasonal and gender differences of beverage consumption in elementary school students
Seok-Young Kim, Yun Ju Lee
Nutrition Research and Practice.2009; 3(3): 234. CrossRef
|
KSPM
