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10 "Joohon Sung"
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Original Articles
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
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  • 84 Download
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.
Blood Triglycerides Levels and Dietary Carbohydrate Indices in Healthy Koreans
Hye Sook Min, Ji Yeon Kang, Joohon Sung, Mi Kyung Kim
J Prev Med Public Health. 2016;49(3):153-164.   Published online May 17, 2016
DOI: https://doi.org/10.3961/jpmph.16.014
  • 9,013 View
  • 160 Download
  • 12 Crossref
AbstractAbstract PDF
Objectives
Previous studies have obtained conflicting findings regarding possible associations between indices measuring carbohydrate intake and dyslipidemia, which is an established risk factor of coronary heart disease. In the present study, we examined cross-sectional associations between carbohydrate indices, including the dietary glycemic index (GI), glycemic load (GL), total amount of carbohydrates, and the percentage of energy from carbohydrates, and a range of blood lipid parameters.
Methods
This study included 1530 participants (554 men and 976 women) from 246 families within the Healthy Twin Study. We analyzed the associations using a generalized linear mixed model to control for familial relationships.
Results
Levels of the Apo B were inversely associated with dietary GI, GL, and the amount of carbohydrate intake for men, but these relationships were not significant when fat-adjusted values of the carbohydrate indices were used. Triglyceride levels were positively associated with dietary GI and GL in women, and this pattern was more notable in overweight participants (body mass index [BMI] ≥25 kg/m2). However, total, low-density lipoprotein and high-density lipoprotein cholesterol levels were not significantly related with carbohydrate intake overall.
Conclusions
Of the blood lipid parameters we investigated, only triglyceride levels were positively related with dietary carbohydrate indices among women participants in the Healthy Twin Study, with an interactive role observed for BMI. However, these associations were not observed in men, suggesting that the association between blood lipid levels and carbohydrate intake depends on the type of lipid, specific carbohydrate indices, gender, and BMI.
Summary

Citations

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  • Dietary glycemic load and its association with glucose metabolism and lipid profile in young adults
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    Teresa Palmisciano Bedê, Vanessa de Jesus, Vanessa Rosse de Souza, Vânia Mattoso, Joel Pimentel Abreu, Juliana Furtado Dias, Anderson Junger Teodoro, Vilma Blondet de Azeredo
    Natural Product Research.2021; 35(23): 5255.     CrossRef
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    Li Cao, Yan Du, Mo Zhang, Feng Wang, Jian‐Yuan Zhao, Yun‐Yun Ren, Yong‐Hao Gui
    Acta Obstetricia et Gynecologica Scandinavica.2021; 100(10): 1806.     CrossRef
  • Longitudinal association between binge eating and metabolic syndrome in adults: Findings from the ELSA‐Brasil cohort
    Francesca Solmi, Arlinda B. Moreno, Glyn Lewis, Maria Angélica Nunes, Maria de Jesus Mendes da Fonseca, Rosane Harter Griep
    Acta Psychiatrica Scandinavica.2021; 144(5): 464.     CrossRef
  • Associations between Dietary Glycemic Index and Glycemic Load Values and Cardiometabolic Risk Factors in Adults: Findings from the China Health and Nutrition Survey
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  • ROLE OF NON-HIGH-DENSITY LIPOPROTEIN CHOLESTEROL IN CEREBROVASCULAR ACCIDENTS
    Sechassayana N.
    Journal of Evidence Based Medicine and Healthcare.2019; 6(33): 2212.     CrossRef
  • Differential association of dietary carbohydrate intake with metabolic syndrome in the US and Korean adults: data from the 2007–2012 NHANES and KNHANES
    Kyungho Ha, Kijoon Kim, Ock K. Chun, Hyojee Joung, YoonJu Song
    European Journal of Clinical Nutrition.2018; 72(6): 848.     CrossRef
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    Bo Young Jang, So Young Bu
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    Jihoon Oh, Tae-Suk Kim
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    Glenn Dallérac, Julien Moulard, Jean-François Benoist, Stefan Rouach, Stéphane Auvin, Angèle Guilbot, Loïc Lenoir, Nathalie Rouach
    Scientific Reports.2017;[Epub]     CrossRef
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    Edyta Suliga, Dorota Kozieł, Elżbieta Cieśla, Dorota Rębak, Stanisław Głuszek
    Nutrients.2017; 9(12): 1366.     CrossRef
Socioeconomic Status and Number of Children Among Korean Women: The Healthy Twin Study
Jinseob Kim, Joohon Sung
J Prev Med Public Health. 2013;46(1):50-60.   Published online January 31, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.1.50
  • 8,489 View
  • 75 Download
  • 5 Crossref
AbstractAbstract PDF
Objectives

This study aimed to evaluate whether the birth rate is associated with socioeconomic status in the women of the Republic of Korea, where the birth rate is rapidly decreasing.

Methods

This study included 732 females from the Healthy Twin Study, a family-twin cohort. The participants were classified into 3 socioeconomic groups according to their average income, education, and occupation. The association between socioeconomic status and number of children was assessed using gamma regression analysis with a generalized linear mixed model, adjusting for the age group, smoking/alcohol status, and family relationships.

Results

The group with the highest education level had significantly fewer children compared with the group with the lowest education level (p=0.004). However, no significant associations were found according to household income level. The non-manual labor group had significantly fewer children compared with those working as homemakers (p=0.008).

Conclusions

This study aimed to explain the causal relationship between socioeconomic status and number of children. Associations between some socioeconomic status and number of children were found in Korea.

Summary

Citations

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    Wei Wang, Luyao Liang, Jing Luo, Hui Li, Jing Tang
    Sustainability.2022; 14(16): 10083.     CrossRef
  • Intent to have a second child among Chinese women of childbearing age following China’s new universal two-child policy: a cross-sectional study
    Jue Liu, Min Liu, Shikun Zhang, Qiuyue Ma, Qiaomei Wang
    BMJ Sexual & Reproductive Health.2020; 46(1): 59.     CrossRef
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    Jisung Yoo
    Studies in Educational Evaluation.2019; 61: 94.     CrossRef
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    Zhenzhen Liu, Xiaomin Sun, Lubsan Tsydypov
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    Human Fertility.2016; 19(1): 43.     CrossRef
Social Determinants of Smoking Behavior: The Healthy Twin Study, Korea
Youn Sik Kim, Hansoo Ko, Changgyo Yoon, Dong-Hun Lee, Joohon Sung
J Prev Med Public Health. 2012;45(1):29-36.   Published online January 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.1.29
  • 9,866 View
  • 73 Download
  • 10 Crossref
AbstractAbstract PDF
Objectives

The purpose of this study was to identify any influence of socioeconomic status on smoking and smoking cessation in a situation where genetic factors are controlled.

Methods

The sample for this study was 2502 members of the twins and families cohort who participated in the Korean Healthy Twins Study from 2005 to 2009. Groups of brothers or sisters, including twins and fraternal twins, were compared in terms of smoking and smoking cessation behaviors according to differences in socioeconomic status and gender.

Results

In a situation with complete control of genetic factors, results showed that the daily smoking amount, cumulative smoking amount, and dependence on nicotine decreased with higher-status occupations, and the rate of smoking and amount of cumulative smoking decreased with higher levels of education. Regarding smoking cessation behavior, a higher level of education was associated with a lower smoking cessation rate, and no significant gender differences were found.

Conclusions

Environmental factors had a stronger influence on smoking behavior than did genetic factors. Genetic factors had greater influence on smoking cessation than did environmental factors; however, this requires verification in further studies.

Summary

Citations

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Brief Report
Fifteen Years After the Gozan-Dong Glass Fiber Outbreak, Incheon in 1995
Soo-Hun Cho, Joohon Sung, Jonghoon Kim, Young-Su Ju, Minji Han, Kyu-Won Jung
J Prev Med Public Health. 2011;44(4):185-189.   Published online July 29, 2010
DOI: https://doi.org/10.3961/jpmph.2011.44.4.185
  • 6,931 View
  • 55 Download
AbstractAbstract PDF
Objectives

In 1995, an outbreak survey in Gozan-dong concluded that an association between fiberglass exposure in drinking water and cancer outbreak cannot be established. This study follows the subjects from a study in 1995 using a data linkage method to examine whether an association existed. The authors will address the potential benefits and methodological issues following outbreak surveys using data linkage, particularly when informed consent is absent.

Methods

This is a follow-up study of 697 (30 exposed) individuals out of the original 888 (31 exposed) participants (78.5%) from 1995 to 2007 assessing the cancer outcomes and deaths of these individuals. The National Cancer Registry (KNCR) and death certificate data were linked using the ID numbers of the participants. The standardized incidence ratio (SIR) and standardized mortality ratio (SMR) from cancers were calculated by the KNCR.

Results

The SIR values for all cancer or gastrointestinal cancer (GI) occurrences were the lowest in the exposed group (SIR, 0.73; 95% CI, 0.10 to 5.21; 0.00 for GI), while the two control groups (control 1: external, control 2: internal) showed slight increases in their SIR values (SIR, 1.18 and 1.27 for all cancers; 1.62 and 1.46 for GI). All lacked statistical significance. All-cause mortality levels for the three groups showed the same pattern (SMR 0.37, 1.29, and 1.11).

Conclusions

This study did not refute a finding of non-association with a 13-year follow-up. Considering that many outbreak surveys are associated with a small sample size and a cross-sectional design, follow-up studies that utilize data linkage should become standard procedure.

Summary
English Abstracts
High Risk Groups in Health Behavior Defined by Clustering of Smoking, Alcohol, and Exercise Habits: National Heath and Nutrition Examination Survey.
Kiwon Kang, Joohon Sung, Chang yup Kim
J Prev Med Public Health. 2010;43(1):73-83.
DOI: https://doi.org/10.3961/jpmph.2010.43.1.73
  • 7,018 View
  • 289 Download
  • 62 Crossref
AbstractAbstract PDF
OBJECTIVES
We investigated the clustering of selected lifestyle factors (cigarette smoking, heavy alcohol consumption, lack of physical exercise) and identified the population characteristics associated with increasing lifestyle risks. METHODS: Data on lifestyle risk factors, sociodemographic characteristics, and history of chronic diseases were obtained from 7,694 individuals > or =20 years of age who participated in the 2005 Korea National Health and Nutrition Examination Survey (KNHANES). Clustering of lifestyle risks involved the observed prevalence of multiple risks and those expected from marginal exposure prevalence of the three selected risk factors. Prevalence odds ratio was adopted as a measurement of clustering. Multiple correspondence analysis, Kendall tau correlation, Man-Whitney analysis, and ordinal logistic regression analysis were conducted to identify variables increasing lifestyle risks. RESULTS: In both men and women, increased lifestyle risks were associated with clustering of: (1) cigarette smoking and excessive alcohol consumption, and (2) smoking, excessive alcohol consumption, and lack of physical exercise. Patterns of clustering for physical exercise were different from those for cigarette smoking and alcohol consumption. The increased unhealthy clustering was found among men 20-64 years of age with mild or moderate stress, and among women 35-49 years of age who were never-married, with mild stress, and increased body mass index (>30 kg/m2). CONCLUSIONS: Addressing a lack of physical exercise considering individual characteristics including gender, age, employment activity, and stress levels should be a focus of health promotion efforts.
Summary

Citations

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Strategy Considerations in Genome Cohort Construction in Korea.
Joohon Sung, Sung Il Cho
J Prev Med Public Health. 2007;40(2):95-101.
DOI: https://doi.org/10.3961/jpmph.2007.40.2.95
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AbstractAbstract PDF
Focusing on complex diseases of public health significance, strategic issues regarding the on-going Korean Genome Cohort were reviewed: target size and diseases, measurements, study design issues, and followup strategy of the cohort. Considering the epidemiologic characteristics of Korean population as well as strengths and drawbacks of current research environment, we tried to tailor the experience of other existing cohorts into proposals for this Korean study. Currently 100,000 individuals have been participating the new Genome Cohort in Korea. Target size of de novo collection is recommended to be set as between 300,000 to 500,000. This target size would allow acceptable power to detect genetic and environmental factors of moderate effect size and possible interactions between them. Family units and/or special subgroups are recommended to parallel main body of adult individuals to increase the overall efficiency of the study. Given that response rate to the conventional re-contact method may not be satisfactory, successful follow-up is the main key to the achievement of the Korean Genome Cohort. Access to the central database such as National Health Insurance data can provide enormous potential for near-complete case detection. Efforts to build consensus amongst scientists from broad fields and stakeholders are crucial to unleash the centralized database as well as to refine the commitment of this national project.
Summary
Original Articles
Summertime Heat Waves and Ozone : an Interaction on Cardiopulmonary Mortality? - Based on the 1994 Heat Wave in Korea -.
Joohon Sung, Ho Kim, Soo Hun Cho
Korean J Prev Med. 2001;34(4):316-322.
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AbstractAbstract PDF
OBJECTIVES
To explore the possible effect of an interaction between summertime heat waves and ozone on cardiopulmonary mortality during the 1994 heat wave in Korea. METHODS: The unusually hot summer of 1994 in Korea was defined as the heat wave in this study. We examined the associations of air pollutants with daily cardiopulmonary deaths between 1991-1995, considering the product term of the heat wave and each pollutant, weather and time trends. RESULTS: During the heat wave, while temperatures were uniformly higher than those of other summers, the within-heat-wave difference in mortality paralleled that in the regional ozone levels. In terms of the influence of the heat wave, the results of ozone were different to those of total suspended particles (TSP) and sulfur dioxide (SO2). The ozone association (relative risk (RR) =1.036; 95% confidence interval (CI) = 1.018-1.054) was observed only under heat wave conditions, while the TSP (RR =1.006, 95% CI = 0.999-1.012) and the SO2 (RR =1.018, 95% CI = 1.011-1.024) associations were found under normal weather conditions (per interquartile increase of each pollutant; results of three pollutants model). The ozone association under heat wave was attributable to the statistical interaction between the heat wave and ozone. CONCLUSIONS: These results support the possibility of a biological synergy between the heat wave and ozone, one that is not evident between the heat wave and other major pollutants like particles or SO2.
Summary
Development of Work-related Musculoskeletal Disorder Questionnaire Using Receiver Operating Characteristic Analysis.
Jaiyong Kim, Ho Jang Kwon, Yeongsu Ju, Soo Hun Cho, Daehee Kang, Joohon Sung, Seong Woo Choi, Jae Wook Choi, Jae Young Kim, Don Gyu Kim
Korean J Prev Med. 1999;32(3):361-373.
  • 2,135 View
  • 27 Download
AbstractAbstract PDF
OBJECTIVES
Receive Operating Characteristic(ROC) curve with the area under the ROC curve(AUC) is one of the most popular indicator to evaluate the criterion validity of the measurement tool. This study was conducted to develop a standardized questionnaire to discriminate workers at high-risk of work-related musculoskeletal disorders using ROC analysis. METHODS: The diagnostic results determined by rehabilitation medicine specialists in 370 persons(89 shipyard CAD workers, 113 telephone directory assistant operators, 79 women with occupation, and 89 housewives) were compared with participant's own replies to 'the questionnair on the worker's subjective physical symptoms'(Kwon, 1996). The AUC's from four models with different methods in item selection and weighting were compared with each other. These 4 models were applied to 225 persons, working in an assembly line of motor vehicle, for the purpose of AUC reliability test. RESULTS: In a weighted model with 11 items, the AUC was 0.8155 in the primary study population, and 0.8026 in the secondary study population(p=0.3780). It was superior in the aspects of discriminability, reliability and convenience. A new questionnaire of musculoskeletal disorder could be constructed by this model. CONCLUSION: A more valid questionnaire with a small number of items and the quantitative weight scores useful for the relative comparisons are the main results of this study. While the absolute reference value applicable to the wide range of populations was not estimated, the basic intent of this study, developing a surveillance tool through quantitative validation of the measures, would serve for the systematic disease prevention activities.
Summary
Prediction Equations for FVC and FEV1 among Korean Children Aged 12 Years.
Jong Won Kang, Yeong Su Ju, Joohon Sung, Soo Hun Cho
Korean J Prev Med. 1999;32(1):60-64.
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  • 31 Download
AbstractAbstract PDF
OBJECTIVES
Changes in lung function are frequently used as biological markers to assess the health effects of criteria air pollutants. We tried to formulate the prediction models of pulmonary functions based on height, weight, age and gender, especially for children aged 12 years who are commonly selected for the study of health effects of the air pollution. METHODS: The target pulmonary function parameters were forced vital capacity(FVC) and forced expiratory volume in one second(FEV1). Two hundreds and fifity-eight male and 301 female 12-year old children were included in the analysis after excluding unsatisfactory tests to the criteria recommended by American Thoracic Sosiety and excluding more or less than 20% predicted value by previous prediction equations. The weight prediction equation using height as a independent variable was calculated, and then the difference of observed weight and predicted weight (i.e. residual) was used as the independent variable of pulmonary function prediction equations with height. RESULTS: The prediction equations of FVC and FEV1 for male are FVC(ml) = 50.84 x height(cm) + 7.06 x weight residual - 4838.86, FEV1(ml) = 43.57 x height(cm) + 3.16 x weight residual - 4156.66, respectively. The prediction equations of FVC and FEV1 for female are FVC(ml) = 42.57 x height(cm) + 12.50 x weight residual - 3862.39, FEV1(ml) = 36.29 x height(cm) + 7.74 x weight residual - 3200.94, respectively.
Summary

JPMPH : Journal of Preventive Medicine and Public Health