Skip Navigation
Skip to contents

Epidemiol Health : Epidemiology and Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Search

Page Path
HOME > Search
18 "Body mass index"
Filter
Filter
Article category
Keywords
More +
Publication year
More +
Authors
More +
Funded articles
COVID-19: Original Article
Body mass index and prevalence of metabolic syndrome among Korean adults before and after the COVID-19 outbreak: a retrospective longitudinal study
Joo-Eun Jeong, Hoon-Ki Park, Hwan-Sik Hwang, Kye-Yeung Park, Myoung-Hye Lee, Seon-Hi Shin, Nayeon Choi
Epidemiol Health. 2023;45:e2023081.   Published online August 29, 2023
DOI: https://doi.org/10.4178/epih.e2023081
  • 4,905 View
  • 119 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
Studies evaluating weight changes during the coronavirus disease 2019 (COVID-19) pandemic have yielded inconsistent results, and most of those studies were based on self-reported anthropometric measures. We investigated changes in body mass index (BMI), professionally measured waist circumference (WC), and metabolic syndrome components from before to during the pandemic in a sample of the adult population in Korea.
METHODS
This retrospective study included 1,118 male and female (age≥18 years) who underwent health checkups at a university medical center between January 1, 2016 and March 31, 2022. Changes in BMI, lifestyles, and metabolic syndrome components during the pandemic were analyzed using the paired t-test, McNemar test, generalized estimating equations, and repeated-measures analysis of variance.
RESULTS
Changes in body weight, BMI, and body fat percentage during the pandemic were not clinically significant. However, statistically significant results were found for decreased physical activity (p<0.001) and WC (p<0.001), and exacerbation of all metabolic syndrome components (except serum triglyceride levels). Moreover, the metabolic syndrome prevalence increased significantly from 20.2% to 31.2% during the pandemic (p<0.001). The prevalence of abdominal obesity and high fasting blood glucose levels also significantly increased from 2019 to 2021.
CONCLUSIONS
Metabolic syndrome, its components, and fat distribution worsened significantly after the implementation of social distancing and lockdowns, despite no clinically significant changes in body weight and BMI. Further studies on the post- pandemic period should investigate the long-term impact of social lockdowns on BMI and the prevalence of metabolic syndrome.
Summary
Korean summary
본 연구에서는 한국인 성인들의 코로나 팬대믹으로 인한 사회적 거리 두기, 봉쇄 정책 전 후의 체질량지수, 생활습관, 그리고 대사증후군과 그 구성 요소들의 변화를 건강검진을 통해 측정한 객관적인 지표의 변화를 통해 알아보고자 하였다. 연구 결과, 사회적 거리 두기 및 봉쇄 전후의 체질량지수와 체중은 유의미한 변화가 없었으나, 신체 활동량은 유의미하게 감소하였고, 체지방률, 허리둘레가 늘어났다. 그리고 중성지방을 제외하고 다른 대사증후군의 구성 요소인 혈압, 고밀도지단백 콜레스테롤, 공복혈당 지표는 악화되었다. 하위 그룹 분석에서 매년 검진을 시행 받은 대상자들 및 고혈압, 당뇨병, 이상지질혈증 약을 복용하지 않는 대상자들의 코로나-19 전후 연도별 대사 지표의 변화를 분석한 결과, 복부비만 유병률과 공복 혈당의 증가 양상이 뚜렷하였다.
Key Message
Although there was no significant change in BMI and weight, the prevalence of metabolic syndrome, abdominal obesity, and fasting blood glucose level prominently worsened after the implementation of social distancing and lockdowns. Such findings may indicate deterioration of insulin resistance during the COVID-19 pandemic. This study provides valuable information for healthcare professionals, policymakers, and the general public towards mitigating the negative consequences of the pandemic on metabolic health, regardless of weight gain.
Original Articles
Non-linear relationship between body mass index and self-rated health in older Korean adults: body image and sex considerations
Seok-Joon Yoon, Jin-Gyu Jung, Soon-Ki Ahn, Jong-Sung Kim, Jang-Hee Hong
Epidemiol Health. 2023;45:e2023061.   Published online June 20, 2023
DOI: https://doi.org/10.4178/epih.e2023061
  • 3,315 View
  • 120 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The purpose of this study was to investigate the association between body mass index (BMI) and self-rated health (SRH) in older adults aged over 65 years while examining the influence of self-perceived body image (SBI) and sex.
METHODS
Raw data were obtained from the Korea Community Health Survey, which included BMI measurements of Koreans aged over 65 years (n=59,628). Non-linear relationships between BMI and SRH were analyzed separately for each sex using restricted cubic splines while controlling for SBI and other confounding variables.
RESULTS
Men showed a reverse J-shaped association, while women showed a J-shaped association between BMI and poor SRH. However, including SBI in the model changed this association for men to an inverted U-shape showing a negative direction, with the highest risk of poor SRH observed in the underweight to overweight range. For women, a nearly linear positive relationship was observed. Regardless of BMI, those who perceived their weight as not “exactly the right weight” had a higher risk of poor SRH than those who perceived their weight as “exactly the right weight” in both men and women. Older men who thought they were much too fat or too thin had similar highest risks of poor SRH, whereas older women who thought they were too thin had the highest risk of poor SRH.
CONCLUSIONS
The findings of this study emphasize the importance of considering sex and body image perceptions when assessing the relationship between BMI and SRH in older adults, especially in men.
Summary
Korean summary
자가 평가 건강 상태 (self-rated health, SRH)와 체질량지수는 각각 건강에 많은 관련이 있는 것으로 밝혀져 있다. 하지만 둘 사이의 관계는 연구마다 다양하게 나타나 있고, 노인들을 대상으로 한 연구도 많지 않다. 노인들은 본인들의 체중을 낮게 평가하는 경향이 있어 둘 사이 관계를 살펴볼 때 자기 인지 체형에 대한 고려가 필요하며, 성별에 따른 영향도 역시 고려해봐야 한다. 본 연구에서는 체질량지수로 파악한 비만의 정도에 관계없이 남성과 여성 모두에서 자기 인지 체형이 정상인 경우에 좋지 않은 SRH를 가질 위험성이 낮았다. 남성에서는 체질량지수와 SRH의 관계가 불분명하게 나타났고 자기 인지 체형이 더 중요한 요인으로 보인다. 한편 여성에서는 체질량지수가 증가함에 따라 SRH도 나빠지는 경향을 보였다. 이에 노인들의 비만과 관련된 교육에 있어서는 자가 인지 체형과 체질량지수를 이용한 비만의 기준에 대해 포함하는 것이 중요하다.
Key Message
Previous research has not fully explored the relationship between BMI, SBI, and SRH in older adults. Our study, using big data, found that the relationships differed between men and women. Those who perceived their weight as ‘exactly the right weight’ had the lowest risk of poor SRH. In men, BMI had a weak effect on SRH, while in women, the risk of poor SRH increased as BMI increased. We recommend that healthcare providers should educate older adults about BMI standards and help them identify their SBI for effective obesity counseling.
The association between obesity and glaucoma in older adults: evidence from the China Health and Retirement Longitudinal Study
Xiaohuan Zhao, Qiyu Bo, Junran Sun, Jieqiong Chen, Tong Li, Xiaoxu Huang, Minwen Zhou, Jing Wang, Wenjia Liu, Xiaodong Sun
Epidemiol Health. 2023;45:e2023034.   Published online March 9, 2023
DOI: https://doi.org/10.4178/epih.e2023034
  • 3,044 View
  • 142 Download
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
This study evaluated the association between obesity and glaucoma in middle-aged and older people. A population-based retrospective cohort study was conducted using data from the China Health and Retirement Longitudinal Study.
METHODS
Glaucoma was assessed via self-reports. Multivariate logistic regression analysis and a Cox proportional hazards model were used to assess the relationship between obesity and glaucoma risk.
RESULTS
Older males living in urban areas who were single, smokers, and non-drinkers were found to have a significantly higher incidence of glaucoma (all p<0.05). Diabetes, hypertension, and kidney disease were also associated with higher glaucoma risk, while dyslipidemia was associated with lower risk (all p<0.05). After the model was adjusted for demographic, socioeconomic, and health-related variables, obesity was significantly associated with a 10.2% decrease in glaucoma risk according to the Cox proportional hazards model (hazard ratio, 0.90; 95% confidence interval [CI], 0.83 to 0.97) and an 11.8% risk reduction in the multivariate logistic regression analysis (odds ratio, 0.88; 95% CI, 0.80 to 0.97). A further subgroup analysis showed that obesity was associated with a reduced risk of glaucoma in people living in rural areas, in smokers, and in those with kidney disease (all p<0.05). Obesity also reduced glaucoma risk in people with diabetes, hypertension, or dyslipidemia more than in healthy controls (all p<0.05).
CONCLUSIONS
This cohort study suggests that obesity was associated with a reduced risk of glaucoma, especially in rural residents, smokers, and people with kidney disease. Obesity exerted a stronger protective effect in people with diabetes, hypertension, or dyslipidemia than in healthy people.
Summary
Key Message
Glaucoma is a neurodegenerative disease and the leading cause of irreversible vision loss worldwide. The diagnosis of glaucoma is frequently delayed, as it may be asymptomatic until a relatively late stage. Thus, there is a need to identify protective and risk factors for glaucoma. Glaucoma is a multifactorial disease, and the impact of obesity on glaucoma risk remains uncertain. This study evaluated the association between obesity and glaucoma in middle-aged and older people. This cohort study suggests that obesity was associated with a reduced risk of glaucoma, especially in rural residents, smokers, and people with kidney disease.
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
Epidemiol Health. 2023;45:e2023033.   Published online March 7, 2023
DOI: https://doi.org/10.4178/epih.e2023033
  • 4,983 View
  • 241 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
This study investigated recent trends in the prevalence of obesity among Korean adolescents and explored socioeconomic disparities in obesity.
METHODS
This study used annual self-reported data on height, weight, and socioeconomic information from the Korea Youth Risk Behavior Web-based Survey from 2006 to 2020. With a 95.8% response rate, the sample consisted of 818,210 adolescents. Obesity prevalence was calculated according to 4 socioeconomic indicators (household income, father’s educational attainment, mother’s educational attainment, and urbanicity). Socioeconomic inequality was quantified using the relative index of inequality (RII).
RESULTS
The overall prevalence of obesity increased, doubling from 5.9% in 2006 to 11.7% in 2020. Boys and high school students showed a higher prevalence. The RIIs in household income and parental educational attainments significantly increased with time, indicating a growing inequality in obesity. Socioeconomic disadvantages had a greater influence on obesity among girls. The most recent RII values for boys were 1.25 for income, 1.79 for the father’s education, and 1.45 for the mother’s education, whereas the corresponding values for girls were 2.49, 3.17, and 2.62, respectively.
CONCLUSIONS
These findings highlight growing inequalities in adolescent obesity according to household income and parental educational attainments, especially for girls and middle schoolers.
Summary
Korean summary
2006년부터 2020년까지 청소년 비만의 유병은 증가 추세에 있을 뿐 아니라, 가정의 경제상태, 부모의 학력수준에 따른 비만의 위험 격차도 점점 심해지는 추세를 보였다. 특히, 남학생과 고등학생의 비만 유병률이 높게 나타났으나, 사회경제적 지표에 따른 비만의 불평등 격차는 여학생과 중학생에서 높게 나타났다.
Key Message
Not only the prevalence but also socioeconomic inequality in adolescent obesity increased between 2006 and 2020. The potential impact of socioeconomic disparity on obesity was greater in girls and middle school students than their counterparts.

Citations

Citations to this article as recorded by  
  • A Comparison of Changes in Health Behavior, Obesity, and Mental Health of Korean Adolescents Before and During the COVID-19 Pandemic: Online Cross-Sectional Study
    Mi-Sun Lee, Hooyeon Lee
    Psychiatry Investigation.2023; 20(11): 1086.     CrossRef
Diabetes and prediabetes prevalence among young and middle-aged adults in India, with an analysis of geographic differences: findings from the National Family Health Survey
Siddardha G. Chandrupatla, Isma Khalid, Tejdeep Muthuluri, Satyanarayana Dantala, Mary Tavares
Epidemiol Health. 2020;42:e2020065.   Published online September 18, 2020
DOI: https://doi.org/10.4178/epih.e2020065
  • 12,788 View
  • 343 Download
  • 11 Web of Science
  • 9 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
This study aimed to approximate the prevalence of hyperglycemia in India.
METHODS
The study was conducted using the Demographic and Health Survey 2015-16 (also known as the National Family Health Survey-4), which surveyed 811,808 individuals using a stratified, multistage, cluster sampling design. This cross-sectional survey recorded socio-demographic and anthropometric data, including blood glucose levels, of adults aged 18 years to 54 years.
RESULTS
The final analysis included 718,597 individuals, of whom 49.90% (weighted) were males. The overall prevalence of diabetes was 6.65% and that of prediabetes was 5.57%. A positive association was seen with urban residence, geographic region, sex, age, body mass index, socioeconomic status, and hypertension. Approximately two-thirds of individuals with diabetes lived in urban areas, and about half of the urban population was considered overweight/obese. South India showed a higher prevalence of diabetes (prevalence ratio, 2.01; p<0.001) than northern India.
CONCLUSIONS
Hyperglycemia (diabetes and prediabetes) has a high prevalence in India and is a major public health issue. Diabetes is unevenly distributed based on geographic location and urbanization. Prevention, early detection, and treatment strategies should consider this uneven distribution of diabetes.
Summary

Citations

Citations to this article as recorded by  
  • Therapeutic Fasting and Vitamin D Levels: A New Dimension in Type 2 Diabetes Mellitus Prevention and Management—A Brief Report
    Pradeep M.K. Nair, Karishma Silwal, Prakash Babu Kodali, Gulab Rai Tewani
    Journal of Health and Allied Sciences NU.2024;[Epub]     CrossRef
  • Gestational diabetes mellitus in early pregnancy amongst Asian Indian women: Evidence for poor pregnancy outcomes despite treatment
    John Punnose, Rajeev Kumar Malhotra, Komal Sukhija, Rashika Rijhwani M, Naimaa Choudhary, Asha Sharma, Prassan Vij, Pinky Bahl
    Diabetic Medicine.2023;[Epub]     CrossRef
  • Diabetes mellitus early warning and factor analysis using ensemble Bayesian networks with SMOTE-ENN and Boruta
    Xuchun Wang, Jiahui Ren, Hao Ren, Wenzhu Song, Yuchao Qiao, Ying Zhao, Liqin Linghu, Yu Cui, Zhiyang Zhao, Limin Chen, Lixia Qiu
    Scientific Reports.2023;[Epub]     CrossRef
  • Comparison of clinical characteristics and disease burden between early- and late-onset type 2 diabetes patients: a population-based cohort study
    Mingqi Wang, Yifei He, Qiao He, Fusheng Di, Kang Zou, Wen Wang, Xin Sun
    BMC Public Health.2023;[Epub]     CrossRef
  • ANTHROPOLOGICAL AND BIOCHEMICAL METABOLIC FACTORS IN THE NORMOGLYCEMIC, PRE-DIABETIC, AND DIABETIC METABOLIC POPULATION
    Jitender Sorout, Sudhanshu Kacker, Neha Saboo, Munesh Kumar
    Eastern Ukrainian Medical Journal.2023; 11(4): 384.     CrossRef
  • Socio-economic inequalities in diabetes and prediabetes among Bangladeshi adults
    Abdur Razzaque Sarker, Moriam Khanam
    Diabetology International.2022; 13(2): 421.     CrossRef
  • Regional estimates of noncommunicable diseases associated risk factors among adults in India: results from National Noncommunicable Disease Monitoring Survey
    Thilagavathi Ramamoorthy, Sravya Leburu, Vaitheeswaran Kulothungan, Prashant Mathur
    BMC Public Health.2022;[Epub]     CrossRef
  • Efficacy Analysis of Team-Based Nursing Compliance in Young and Middle-Aged Diabetes Mellitus Patients Based on Random Forest Algorithm and Logistic Regression
    Dongni Qian, Hong Gao, Yao Chen
    Computational and Mathematical Methods in Medicine.2022; 2022: 1.     CrossRef
  • Factors Influencing Optimal Glucose Control among Type II Diabetes Patients: From the Health Behaviour Models’ Perspective
    Eslavath Rajkumar, GT Kruthika, Padiri Angiel Ruth, R Lakshmi, Daniel Monica, John Romate, Abraham John
    The Open Public Health Journal.2022;[Epub]     CrossRef
Distribution and social determinants of overweight and obesity: a cross-sectional study of non-pregnant adult women from the Malawi Demographic and Health Survey (2015-2016)
Leonard Mndala, Abhay Kudale
Epidemiol Health. 2019;41:e2019039.   Published online September 27, 2019
DOI: https://doi.org/10.4178/epih.e2019039
  • 13,059 View
  • 270 Download
  • 13 Web of Science
  • 13 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Hitherto regarded as a public health issue of well-heeled nations, overweight and obesity have emerged as a problem of concern in developing nations. Although social and demographic factors are equally important as proximal lifestyle factors affecting health, their role is neither well researched nor well understood. We conducted a novel study to determine the distribution, prevalence, and social and demographic determinants of overweight/obesity in Malawi.
METHODS
A population-based, quantitative cross-sectional study using data from the Malawi Demographic and Health Survey (2015-2016) was conducted among non-pregnant women aged 18-49 years. A total of 6,443 women were included in the analysis. Overweight/obesity, defined as a body mass index (BMI) ≥25.0 kg/m2 , was the main outcome variable. The analysis was done in SPSS version 20.0; after calculating descriptive statistics, bivariate and multivariate logistic regression was conducted to evaluate associations and determine odds.
RESULTS
In total, 16.8% and 6.3% of women were overweight and obese, respectively (p<0.001). Overweight and obesity were more prevalent in urban than in rural areas. The BMI distribution among women varied across different background characteristics. Women from the Ngoni ethnicity were more likely to be overweight/obese than others (adjusted odds ratio [aOR], 1.54; 95% confidence interval [CI], 1.14 to 2.08). Socioeconomic status (SES) and the age of the respondent were highly significant determinants that were strongly associated with being overweight/obese. The richest women were 3 times more likely to be overweight/obese than the poorest (aOR, 3.30; 95% CI, 2.46 to 4.43).
CONCLUSIONS
Overweight and obesity were highly prevalent and significantly associated with increasing SES, age, and being from the Ngoni ethnicity. Holistic interventions should also focus on improving social determinants in order to entirely curb the epidemic.
Summary

Citations

Citations to this article as recorded by  
  • Exploring the Causes of Obesity Among Adults in the Kurdish Regions of Iran: A Qualitative Study
    Seyed Fahim Irandoost, Bahman Bayangani, Tahereh Dehdari, Javad Yousefi Lebni, Nafe Babasfari, Nafiul Mehedi, Mohammad Hosein Taghdisi
    Community Health Equity Research & Policy.2023; 43(2): 183.     CrossRef
  • Updating the association between socioeconomic status and obesity in low‐income and lower‐middle‐income sub‐Saharan African countries: A literature review
    Bertille Daran, Pierre Levasseur, Matthieu Clément
    Obesity Reviews.2023;[Epub]     CrossRef
  • Analysis of Correlation between the Socioeconomic Environment and Level of Nutrition in the Population of Serbia: A Part of the National Survey
    Mladen Grujicic, Marija Sekulic, Milos Stepovic, Natasa Zdravkovic, Vladan Markovic, Jagoda Gavrilovic, Mirjana Veselinovic, Jelena Vuckovic-Filipovic, Katarina Nikolic, Olivera Milovanovic, Branimir Radmanovic, Bojan Milosevic, Rada Vucic, Stefan Jakovlj
    Sustainability.2023; 15(14): 11189.     CrossRef
  • Individual and contextual predictors of overweight or obesity among women in Uganda: a spatio-temporal perspective
    Prince M. Amegbor, Ortis Yankey, Megan Davies, Clive E. Sabel
    GeoJournal.2022; 87(5): 3793.     CrossRef
  • Then and Now: Investigating Anthropometrics and Child Mortality among Females in Malawi
    Sally Sonia Simmons, John Elvis Hagan, Thomas Schack
    International Journal of Environmental Research and Public Health.2022; 19(10): 6171.     CrossRef
  • Maternal overweight and obesity and its associated factors and outcomes in human immunodeficiency virus (HIV)‐infected and HIV‐uninfected black South African pregnant women
    Christen R. Erasmus, Anil A. Chuturgoon, Niren R. Maharaj
    Journal of Obstetrics and Gynaecology Research.2022; 48(11): 2697.     CrossRef
  • Country-Level Variations in Overweight and Obesity among Reproductive-Aged Women in Sub-Saharan Countries
    Olah Owobi, Osaretin Okonji, Chimezie Nzoputam, Michael Ekholuenetale
    Women.2022; 2(4): 313.     CrossRef
  • Food purchasing decisions of Malawian mothers with young children in households experiencing the nutrition transition
    Valerie L. Flax, Chrissie Thakwalakwa, Courtney H. Schnefke, John C. Phuka, Lindsay M. Jaacks
    Appetite.2021; 156: 104855.     CrossRef
  • Time trends in socio-economic, urban-rural and regional disparities in prevalence of obesity among non-pregnant women in Lesotho: evidence from Lesotho demographic and health surveys (2004–2014)
    Betregiorgis Zegeye, Gebretsadik Shibre, Gashaw Garedew Woldeamanuel
    BMC Public Health.2021;[Epub]     CrossRef
  • Risk factors for overweight and obesity among women of reproductive age in Dar es Salaam, Tanzania
    Dominic Mosha, Heavenlight A. Paulo, Mary Mwanyika-Sando, Innocent B. Mboya, Isabel Madzorera, Germana H. Leyna, Sia E. Msuya, Till W. Bärnighausen, Japhet Killewo, Wafaie W. Fawzi
    BMC Nutrition.2021;[Epub]     CrossRef
  • Observed magnitude and trends in socioeconomic and geographic area inequalities in obesity prevalence among non-pregnant women in Chad: evidence from three waves of Chad demographic and health surveys
    Gebretsadik Shibre, Betregiorgis Zegeye, Gashaw Garedew Woldeamanuiel, Wassie Negash, Gorems Lemma, Mitku Mamo Taderegew
    Archives of Public Health.2021;[Epub]     CrossRef
  • Education and prevalence of overweight and obesity among reproductive age group women in Ethiopia: analysis of the 2016 Ethiopian demographic and health survey data
    Ayelign Mengesha Kassie, Biruk Beletew Abate, Mesfin Wudu Kassaw
    BMC Public Health.2020;[Epub]     CrossRef
  • Drivers of food consumption among overweight mother-child dyads in Malawi
    Chrissie Thakwalakwa, Valerie L. Flax, John C. Phuka, Harrison Garcia, Lindsay M. Jaacks, Mauro Lombardo
    PLOS ONE.2020; 15(12): e0243721.     CrossRef
Socioeconomic inequalities in obesity among Korean women aged 19-79 years: the 2016 Korean Study of Women’s Health-Related Issues
Eunji Choi, Ha Na Cho, Da Hea Seo, Boyoung Park, Sohee Park, Juhee Cho, Sue Kim, Yeong-Ran Park, Kui Son Choi, Yumie Rhee
Epidemiol Health. 2019;41:e2019005.   Published online February 13, 2019
DOI: https://doi.org/10.4178/epih.e2019005
  • 15,401 View
  • 286 Download
  • 6 Web of Science
  • 5 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
While the prevalence of obesity in Asian women has remained stagnant, studies of socioeconomic inequalities in obesity among Asian women are scarce. This study aimed to examine the recent prevalence of obesity in Korean women aged between 19 years and 79 years and to analyze socioeconomic inequalities in obesity.
METHODS
Data were derived from the 2016 Korean Study of Women’s Health-Related Issues. The chi-square test and logistic regression analysis were used to analyze the associations between socioeconomic factors and obesity using Asian standard body mass index (BMI) categories: low (<18.5 kg/m2 ), normal (18.5-22.9 kg/m2 ), overweight (23.0-24.9 kg/m2 ), and obese (≥25.0 kg/ m2 ). As inequality-specific indicators, the slope index of inequality (SII) and relative index of inequality (RII) were calculated, with adjustment for age and self-reported health status.
RESULTS
Korean women were classified into the following BMI categories: underweight (5.3%), normal weight (59.1%), overweight (21.2%), and obese (14.4%). The SII and RII revealed substantial inequalities in obesity in favor of more urbanized women (SII, 4.5; RII, 1.4) and against of women who were highly educated (SII, -16.7; RII, 0.3). Subgroup analysis revealed inequalities in obesity according to household income among younger women and according to urbanization among women aged 65-79 years.
CONCLUSIONS
Clear educational inequalities in obesity existed in Korean women. Reverse inequalities in urbanization were also apparent in older women. Developing strategies to address the multiple observed inequalities in obesity among Korean women may prove essential for effectively reducing the burden of this disease.
Summary
Korean summary
한국 성인 여성의 과체중 및 비만유병률은 서구여성에 비해 낮으며 2005년 이후 큰 변화 없이 약40%대로 일정하게 유지되어왔으나, 사회경제적불평등에 대한 연구는 체계적으로 이루어지지 않음. 경사불평등(Slope index of inequality)과 상대불평등(Relative index of inequality) 지표를 사용하여 비만유병률에서 발견되는 사회경제적불평등을 조사한 결과, 교육수준별 불평등이 유의하게 나타남. 19-44세의 젊은 여성층에서는 소득수준이 낮은 집단에, 65-79세의 노년기 여성층에서는 도시화된 지역에 사는 집단에 비만유병률이 치중되어있음.

Citations

Citations to this article as recorded by  
  • Disparities in Obesity Rates among Adults: Analysis of 514 Districts in Indonesia
    Dumilah Ayuningtyas, Dian Kusuma, Vilda Amir, Dwi Hapsari Tjandrarini, Pramita Andarwati
    Nutrients.2022; 14(16): 3332.     CrossRef
  • Socioeconomic Disparities in Cardiovascular Health in South Korea
    Chi-Young Lee, Eun-Ok Im
    Journal of Cardiovascular Nursing.2021; 36(1): 8.     CrossRef
  • Incidence and risk of venous thromboembolism according to primary treatment in women with ovarian cancer: A retrospective cohort study
    Jin-Sung Yuk, Banghyun Lee, Kidong Kim, Myoung Hwan Kim, Yong-Soo Seo, Sung Ook Hwang, Sang-Hee Yoon, Yong Beom Kim, Wen-Chi Chou
    PLOS ONE.2021; 16(4): e0250723.     CrossRef
  • Regional Differences in Dietary Total Fat and Saturated Fatty Acid Intake and Their Associations with Metabolic Diseases among Korean Adults: Using the 2016~2019 Korea National Health and Nutrition Examination Surveys
    SuJin Song, Jae Eun Shim
    Korean Journal of Community Nutrition.2021; 26(6): 495.     CrossRef
  • Regional disparities in the associations of cardiometabolic risk factors and healthy dietary factors in Korean adults
    Kyungho Ha, YoonJu Song, Hye-Kyeong Kim
    Nutrition Research and Practice.2020; 14(5): 519.     CrossRef
Association of appendicular skeletal muscle mass with carotid intima-media thickness according to body mass index in Korean adults
Ji Eun Heo, Hyeon Chang Kim, Jee-Seon Shim, Bo Mi Song, Hye Yoon Bae, Ho Jae Lee, Il Suh
Epidemiol Health. 2018;40:e2018049.   Published online October 7, 2018
DOI: https://doi.org/10.4178/epih.e2018049
  • 13,176 View
  • 203 Download
  • 15 Web of Science
  • 14 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Abstract
OBJECTIVES
The combined effects of obesity and appendicular skeletal muscle (ASM) on atherosclerosis, especially in middleaged populations, remain poorly understood. This cross-sectional study investigated the effects of ASM on carotid intima-media thickness (IMT) according to body mass index (BMI) in middle-aged Korean adults.
METHODS
Herein, 595 men and 1,274 women aged 30-64 years completed questionnaires and underwent health examinations as part of the Cardiovascular and Metabolic Disease Etiology Research Center cohort. ASM was measured via bioelectrical impedance analysis and adjusted for weight (ASM/Wt). IMT was assessed using B-mode ultrasonography; highest quartile of IMT was defined as gender-specific top quartile of the IMT values. Higher BMIs was defined as a BMI over 25.0 kg/m2 .
RESULTS
Compared to the highest ASM/Wt quartile, the lowest ASM/Wt quartile was significantly associated with highest quartile of IMT in men with lower BMIs (adjusted odds ratio [aOR], 2.78; 95% confidence interval [CI], 1.09 to 7.13), but not in those with higher BMIs (aOR, 0.59; 95% CI, 0.24 to 1.91). In women, there was no significant association of low skeletal muscle mass with highest quartile of IMT, regardless of BMI.
CONCLUSIONS
Low appendicular skeletal muscle mass is associated with carotid arterial wall thickening in men with lower BMIs, but not in men with higher BMIs. Our findings suggest that the risk of atherosclerosis may be low in middle-aged Korean men with appropriate body weight and skeletal muscle mass maintenance.
Summary
Korean summary
한국 중년 성인을 대상으로 사지근육양과 죽상경화증(경동맥 내중막 두께≥75 percentile)의 관련성을 체질량지수(≥25, <25 kg/m2)로 층화하여 평가하였다. 체질량지수 25 kg/m2 미만인 남자에서는, 사지근육양이 낮으면 죽상경화증의 위험이 유의하게 높았으나, 체질량지수 25 kg/m2 이상인 남자에서는 관련성이 없었다. 반면 여자에서는 체질량지수에 상관없이 사지근육양과 죽상경화증의 독립적인 관련성이 관찰되지 않았다.

Citations

Citations to this article as recorded by  
  • A multifaceted and inclusive methodology for the detection of sarcopenia in patients undergoing bariatric surgery: an in-depth analysis of current evidence
    Eunhye Seo, Yeongkeun Kwon, Ahmad ALRomi, Mohannad Eledreesi, Sungsoo Park
    Reviews in Endocrine and Metabolic Disorders.2024;[Epub]     CrossRef
  • Contribution of low skeletal muscle mass in predicting cardiovascular events: A prospective cohort study
    Yiting Xu, Tingting Hu, Yun Shen, Yufei Wang, Yuqian Bao, Xiaojing Ma
    European Journal of Internal Medicine.2023; 114: 113.     CrossRef
  • Low appendicular skeletal muscle index increases the risk of carotid artery plaque in postmenopausal women with and without hypertension/hyperglycemia: a retrospective study
    Yayun Lu, Jianguang Tian, Liangyu Wu, Qing Xia, Qinzhong Zhu
    BMC Geriatrics.2023;[Epub]     CrossRef
  • Relationship between neck vessel abnormalities and sarcopenia: results of a study examining trends in health and aging in western China
    Huaying Ding, Xiaoyan Chen, Sha Huang, Birong Dong
    European Geriatric Medicine.2023; 15(1): 253.     CrossRef
  • A new paradigm in sarcopenia: Cognitive impairment caused by imbalanced myokine secretion and vascular dysfunction
    Danbi Jo, Gwangho Yoon, Oh Yoen Kim, Juhyun Song
    Biomedicine & Pharmacotherapy.2022; 147: 112636.     CrossRef
  • Low serum creatinine to cystatin C ratio is independently associated with sarcopenia and high carotid plaque score in patients with type 2 diabetes
    Jang Yel Shin
    Nutrition, Metabolism and Cardiovascular Diseases.2022; 32(6): 1454.     CrossRef
  • Association of High Muscle Mass with Carotid Atherosclerosis: A Community-Based Population Cohort Study
    Y. Xu, T. Hu, Y. Shen, Y. Wang, Xiaojing Ma, Yuqian Bao
    The Journal of nutrition, health and aging.2022; 26(12): 1087.     CrossRef
  • Sarcopenia, sarcopenic overweight/obesity and risk of cardiovascular disease and cardiac arrhythmia: A cross-sectional study
    Ming-Feng Xia, Ling-Yan Chen, Li Wu, Hui Ma, Xiao-Ming Li, Qian Li, Qiqige Aleteng, Yu Hu, Wan-Yuan He, Jian Gao, Huan-Dong Lin, Xin Gao
    Clinical Nutrition.2021; 40(2): 571.     CrossRef
  • Muscle mass and grip strength in relation to carotid intima-media thickness and plaque score in patients with type 2 diabetes
    Jang Yel Shin, Jung Soo Lim
    Nutrition, Metabolism and Cardiovascular Diseases.2021; 31(10): 2935.     CrossRef
  • Low muscle mass is associated with carotid atherosclerosis in patients with type 2 diabetes
    Da Hea Seo, Yong-ho Lee, Young Ju Suh, Seong Hee Ahn, Seongbin Hong, Young Ju Choi, Byoung Wook Huh, Seok Won Park, Eunjig Lee, So Hun Kim
    Atherosclerosis.2020; 305: 19.     CrossRef
  • Associations of skeletal muscle mass with atherosclerosis and inflammatory markers in Korean adults
    Soon-Kyu Yoon, Ha-Na Kim, Sang-Wook Song
    Archives of Gerontology and Geriatrics.2020; 90: 104163.     CrossRef
  • Impact of sarcopenia on glycemic control and atherosclerosis in Japanese patients with type 2 diabetes: Cross‐sectional study using outpatient clinical data
    Shuhei Nakanishi, Masahiro Iwamoto, Hisanori Shinohara, Hideyuki Iwamoto, Hideaki Kaneto
    Geriatrics & Gerontology International.2020; 20(12): 1196.     CrossRef
  • Quantification of Plasma Kynurenine Metabolites Following One Bout of Sprint Interval Exercise
    Ada Trepci, Sophie Imbeault, Victoria L Wyckelsma, Håkan Westerblad, Sigurd Hermansson, Daniel C Andersson, Fredrik Piehl, Tomas Venckunas, Marius Brazaitis, Sigitas Kamandulis, Lena Brundin, Sophie Erhardt, Lilly Schwieler
    International Journal of Tryptophan Research.2020; 13: 117864692097824.     CrossRef
  • Cohort Profile: The Cardiovascular and Metabolic Diseases Etiology Research Center Cohort in Korea
    Jee-Seon Shim, Bo Mi Song, Jung Hyun Lee, Seung Won Lee, Ji Hye Park, Dong Phil Choi, Myung Ha Lee, Kyoung Hwa Ha, Dae Jung Kim, Sungha Park, Won-Woo Lee, Yoosik Youm, Eui-Cheol Shin, Hyeon Chang Kim
    Yonsei Medical Journal.2019; 60(8): 804.     CrossRef
Application of a non-parametric non-mixture cure rate model for analyzing the survival of patients with colorectal cancer in Iran
Mehdi Azizmohammad Looha, Mohamad Amin Pourhoseingholi, Maryam Nasserinejad, Hadis Najafimehr, Mohammad Reza Zali
Epidemiol Health. 2018;40:e2018045.   Published online September 17, 2018
DOI: https://doi.org/10.4178/epih.e2018045
  • 10,348 View
  • 208 Download
  • 4 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
Colorectal cancer (CRC) patients are considered to have been cured when the mortality rate of individuals with the disease returns to the same level as expected in the general population. This study aimed to assess the impact of various risk factors on the cure fraction of CRC patients using a real dataset of Iranian CRC patients with a non-mixture non-parametric cure model.
METHODS
This study was conducted on the medical records of 512 patients who were definitively diagnosed with CRC at Taleghani Hospital, Tehran, Iran from 2001 to 2007. A non-mixture non-parametric cure rate model was applied to the data after using stepwise selection to identify the risk factors of CRC.
RESULTS
For non-cured cases, the mean survival time was 1,243.83 days (95% confidence interval [CI], 1,174.65 to 1,313.00) and the median survival time was 1,493.00 days (95% CI, 1,398.67 to 1,587.33). The 1- and 3-year survival rates were 92.9% (95% CI, 91.0 to 95.0) and 73.4% (95% CI, 68.0 to 79.0), respectively. Pathologic stage T1 of the primary tumor (estimate=0.58; p=0.013), a poorly differentiated tumor (estimate=1.17; p<0.001), a body mass index (BMI) between 18.6 and 24.9 kg/m2 (estimate=−0.60; p=0.04), and a BMI between 25.0 and 29.9 kg/m2 (estimate=−1.43; p<0.001) had significant impacts on the cure fraction of CRC in the multivariate analysis. The proportion of cured patients was 64.1% (95% CI, 56.7 to 72.4).
CONCLUSIONS
This study found that the pathologic stage of the primary tumor, tumor grade, and BMI were potential risk factors that had an impact on the cure fraction. A non-mixture non-parametric cure rate model provides a flexible framework for accurately determining the impact of risk factors on the long-term survival of patients with CRC.
Summary

Citations

Citations to this article as recorded by  
  • Assessment of prognostic factors in long-term survival of male and female patients with colorectal cancer using non-mixture cure model based on the Weibull distribution
    Mehdi Azizmohammad Looha, Elaheh Zarean, Fatemeh Masaebi, Mohamad Amin Pourhoseingholi, Mohamad Reza Zali
    Surgical Oncology.2021; 38: 101562.     CrossRef
  • Actual survival after resection of primary colorectal cancer: results from a prospective multicenter study
    Inge van den Berg, Robert R. J. Coebergh van den Braak, Jeroen L. A. van Vugt, Jan N. M. Ijzermans, Stefan Buettner
    World Journal of Surgical Oncology.2021;[Epub]     CrossRef
Adjusting for reverse causation to estimate the effect of obesity on mortality after incident heart failure in the Atherosclerosis Risk in Communities (ARIC) study
Maryam Shakiba, Hamid Soori, Mohammad Ali Mansournia, Seyed Saeed Hashemi Nazari, Yahya Salimi
Epidemiol Health. 2016;38:e2016025.   Published online June 4, 2016
DOI: https://doi.org/10.4178/epih.e2016025
  • 15,781 View
  • 243 Download
  • 4 Web of Science
  • 5 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
The lower mortality rate of obese patients with heart failure (HF) has been partly attributed to reverse causation bias due to weight loss caused by disease. Using data about weight both before and after HF, this study aimed to adjust for reverse causation and examine the association of obesity both before and after HF with mortality.
METHODS
Using the Atherosclerosis Risk in Communities (ARIC) study, 308 patients with data available from before and after the incidence of HF were included. Pre-morbid and post-morbid obesity were defined based on body mass index measurements at least three months before and after incident HF. The associations of pre-morbid and post-morbid obesity and weight change with survival after HF were evaluated using a Cox proportional hazard model.
RESULTS
Pre-morbid obesity was associated with higher mortality (hazard ratio [HR], 1.61; 95% confidence interval [CI], 1.04 to 2.49) but post-morbid obesity was associated with increased survival (HR, 0.57; 95% CI, 0.37 to 0.88). Adjusting for weight change due to disease as a confounder of the obesity-mortality relationship resulted in the absence of any significant associations between post-morbid obesity and mortality.
CONCLUSIONS
This study demonstrated that controlling for reverse causality by adjusting for the confounder of weight change may remove or reverse the protective effect of obesity on mortality among patients with incident HF.
Summary

Citations

Citations to this article as recorded by  
  • Prevalence and clinical characteristics of diabetic cardiomyopathy in patients with acute heart failure
    Kenichi Matsushita, Kazumasa Harada, Takashi Kohno, Hiroki Nakano, Daisuke Kitano, Junya Matsuda, Makoto Takei, Hideaki Yoshino, Takeshi Yamamoto, Ken Nagao, Morimasa Takayama
    Nutrition, Metabolism and Cardiovascular Diseases.2024; 34(5): 1325.     CrossRef
  • Impact of body mass index on cardiac adrenergic derangement in heart failure patients: a 123I-mIBG imaging study
    Klara Komici, Leonardo Bencivenga, Stefania Paolillo, Paola Gargiulo, Roberto Formisano, Roberta Assante, Carmela Nappi, Fabio Marsico, Adriana D’Antonio, Giovanni De Simini, Antonio Cittadini, Dino Franco Vitale, Alberto Cuocolo, Pasquale Perrone Filardi
    European Journal of Nuclear Medicine and Molecular Imaging.2020; 47(7): 1713.     CrossRef
  • Impact of prior bariatric surgery on outcomes of hospitalized patients with heart failure: a population-based study
    Hedong Han, Tiantian Zhu, Yibin Guo, Yiming Ruan, Eyal Herzog, Jia He
    Surgery for Obesity and Related Diseases.2019; 15(3): 469.     CrossRef
  • Body mass index and all-cause mortality in patients with atrial fibrillation: insights from the China atrial fibrillation registry study
    Lu Wang, Xin Du, Jian-Zeng Dong, Wen-Na Liu, Ying-Chun Zhou, Song-Nan Li, Xue-Yuan Guo, Chen-Xi Jiang, Rong-Hui Yu, Cai-Hua Sang, Ri-Bo Tang, De-Yong Long, Nian Liu, Rong Bai, Laurent Macle, Chang-Sheng Ma
    Clinical Research in Cardiology.2019; 108(12): 1371.     CrossRef
  • The Effects of Reverse Causality and Selective Attrition on the Relationship Between Body Mass Index and Mortality in Postmenopausal Women
    Hailey R Banack, Jennifer W Bea, Jay S Kaufman, Andrew Stokes, Candyce H Kroenke, Marcia L Stefanick, Shirley A Beresford, Chloe E Bird, Lorena Garcia, Robert Wallace, Robert A Wild, Bette Caan, Jean Wactawski-Wende
    American Journal of Epidemiology.2019; 188(10): 1838.     CrossRef
Associations of smoking with overall obesity, and central obesity: a cross-sectional study from the Korea National Health and Nutrition Examination Survey (2010-2013)
Yeonjung Kim, Seong Min Jeong, Bora Yoo, Bitna Oh, Hee-Cheol Kang
Epidemiol Health. 2016;38:e2016020.   Published online May 19, 2016
DOI: https://doi.org/10.4178/epih.e2016020
  • 17,192 View
  • 280 Download
  • 19 Web of Science
  • 21 Crossref
AbstractAbstract AbstractSummary PDF
Abstract
OBJECTIVES
The association between smoking and obesity is a significant public health concern. Both are preventable risk factors of cardiovascular disease and a range of other conditions. However, despite numerous previous studies, no consensus has emerged regarding the effect of smoking on obesity. We therefore carried out a novel study evaluating the relationship between smoking and obesity.
METHODS
A total of 5,254 subjects aged 19 years or older drawn from the 2010-2013 Korea National Health and Nutrition Examination Survey were included in this cross-sectional study. Smoking was examined both in terms of smoking status and the quantity of cigarettes smoked by current smokers. Multiple logistic regression analysis was used to assess the association between smoking and obesity. Overall obesity was defined as a body mass index (BMI) ≥25 kg/m2, and central obesity was defined as a waist circumference ≥90 cm for males and ≥85 cm for females. We adjusted for the possible confounding effects of age, sex, physical activity, alcohol consumption, and the presence of hypertension or diabetes.
RESULTS
A statistically significant difference in central obesity according to smoking status was identified. Current smokers were more likely to be centrally obese than never-smokers (adjusted odds ratio,1.30; 95% confidence interval, 1.02 to 1.67). However, no significant association was found between smoking and obesity defined by BMI. Moreover, among current smokers, no statistically significant association was found between the daily amount of smoking and obesity or central obesity.
CONCLUSIONS
Smoking was positively associated with central obesity. Current smokers should be acquainted that they may be more prone to central obesity.
Summary
Korean summary
이 연구는 국민건강영양조사(2010-2013) 자료를 이용하여 한국 성인에서 흡연과 비만의 연관성을 분석하였다. 현재 흡연자는 비흡연자와 비교하여 비만의 위험도는 유의한 차이를 보이지 않았지만 복부비만의 위험도는 유의하게 증가하였다. 흡연이 복부 비만의 위험증가와 연관성이 있음을 확인하였으며 향후 인과관계 및 기전 규명을 위한 연구가 필요할 것으로 생각된다.

Citations

Citations to this article as recorded by  
  • Associations between body mass index and smoking behaviour: A cross-sectional study of the German adult population
    Isabel Wolters, Sabrina Kastaun, Daniel Kotz
    Physiology & Behavior.2024; 275: 114436.     CrossRef
  • Abdominal donor-site complications following autologous breast reconstruction: A multi-institutional multisurgeon study
    Marlie H. Fisher, Lucas B. Ohmes, Jerry H. Yang, Elliot Le, Salih Colakoglu, Mackenzie French, Duygu Siddikoglu, Grace Um, Julian Winocour, Kent Higdon, Galen Perdikis, Suzanne Inchauste, Justin Cohen, Tae Chong, Christodoulos Kaoutzanis, David W. Mathes
    Journal of Plastic, Reconstructive & Aesthetic Surgery.2024; 90: 88.     CrossRef
  • Metabolic disturbances are risk factors for readmission to psychiatric hospitals in non-smokers but not in smokers: results from a Swiss psychiatric cohort and in first-episode psychosis patients
    Nermine Laaboub, Isabella Locatelli, Claire Grosu, Marianna Piras, Tram Ho Ngoc, Setareh Ranjbar, Martin Preisig, Julien Elowe, Armin von Gunten, Philippe Conus, Chin B. Eap
    Frontiers in Psychiatry.2024;[Epub]     CrossRef
  • Investigating the interplay of smoking, cardiovascular risk factors, and overall cardiovascular disease risk: NHANES analysis 2011–2018
    Athumani Mambo, Yulu Yang, Emmerenceana Mahulu, Zhou Zihua
    BMC Cardiovascular Disorders.2024;[Epub]     CrossRef
  • Association between carotid intima media thickness and acute ischemic stroke at an Indonesian tertiary referral hospital
    Rivan Danuaji, Suroto Suroto, Bambang Purwanto, Dono Indarto, Faizal Muhammad, Diah K. Mirawati, Vitri Widyaningsih, Soetrisno Soetrisno, Subandi Subandi, Pepi Budianto, Yetty Hambarsari, Baarid L. Hamidi, Hanindia R. Prabaningtyas, Ervina A.J. Hutabarat,
    Journal of Taibah University Medical Sciences.2023; 18(4): 771.     CrossRef
  • Modifiable determinants of central obesity among the rural black population in the DIMAMO HDSS, Limpopo, South Africa
    Cairo B. Ntimana, Solomon S. R. Choma
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • An Analysis of the Links between Smoking and BMI in Adolescents: A Moving Average Approach to Establishing the Statistical Relationship between Quantitative and Dichotomous Variables
    Anatoly N. Varaksin, Ekaterina D. Konstantinova, Tatiana A. Maslakova, Yulia V. Shalaumova, Galia M. Nasybullina
    Children.2022; 9(2): 220.     CrossRef
  • An Overlooked Bone Metabolic Disorder: Cigarette Smoking-Induced Osteoporosis
    Weidong Weng, Hongming Li, Sheng Zhu
    Genes.2022; 13(5): 806.     CrossRef
  • The Pathological Links between Adiposity and the Carpal Tunnel Syndrome
    Marina Ruxandra Otelea, Roxana Nartea, Florina Georgeta Popescu, Anatoli Covaleov, Brindusa Ilinca Mitoiu, Adriana Sarah Nica
    Current Issues in Molecular Biology.2022; 44(6): 2646.     CrossRef
  • Influences of genetics, lifestyle and environment on obese and non-obese university students in Malaysia
    Zhou Yue Chen, Somia Faride, Huey Shin Ong, Shajan Koshy, Bin Seng Low
    Journal of Public Health.2021; 29(1): 187.     CrossRef
  • Skeletal System Biology and Smoke Damage: From Basic Science to Medical Clinic
    Umberto Tarantino, Ida Cariati, Chiara Greggi, Elena Gasbarra, Alberto Belluati, Luigi Ciolli, Giulio Maccauro, Alberto Momoli, Simone Ripanti, Francesco Falez, Maria Luisa Brandi
    International Journal of Molecular Sciences.2021; 22(12): 6629.     CrossRef
  • Cigarette smoking and nicotine exposure contributes for aberrant insulin signaling and cardiometabolic disorders
    Kanwal Rehman, Kamran Haider, Muhammad Sajid Hamid Akash
    European Journal of Pharmacology.2021; 909: 174410.     CrossRef
  • Prevalence and Influencing Factors of Overweight and Obesity among Adult Residents of Western China: A Cross-Sectional Study
    Li Zheng, Feng Deng, Honglin Wang, Biao Yang, Meng Qu, Peirong Yang, Fabrizio Stracci
    International Journal of Chronic Diseases.2021; 2021: 1.     CrossRef
  • Immune modulation by chronic exposure to waterpipe smoke and immediate-early gene regulation in murine lungs
    Hermes Reyes-Caballero, Bongsoo Park, Jeffrey Loube, Ian Sanchez, Vinesh Vinayachandran, Youngshim Choi, Juhyung Woo, Justin Edwards, Marielle C Brinkman, Thomas Sussan, Wayne Mitzner, Shyam Biswal
    Tobacco Control.2020; 29(Suppl 2): s80.     CrossRef
  • Insights into the association between smoking and obesity: the 2014 Indonesian Family Life Survey
    Yusuf Syaeful Nawawi, Afsheen Hasan, Liza Salawati, Husnah , Widiastuti
    Medical Journal of Indonesia.2020; 29(2): 213.     CrossRef
  • Association between Secondhand Smoke Exposure and Metabolic Syndrome in 118,609 Korean Never Smokers Verified by Self-Reported Questionnaire and Urine Cotinine
    Ji Hye Kim, Byung Jin Kim, Young Youl Hyun, Jin Ho Kang
    Endocrinology and Metabolism.2020; 35(4): 892.     CrossRef
  • Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela
    Valmore Bermudez, Luis Carlos Olivar, Wheeler Torres, Carla Navarro, Robys Gonzalez, Cristobal Espinoza, Alicia Morocho, Andres Mindiola, Maricarmen Chacin, Victor Arias, Roberto Añez, Juan Salazar, Manuel Riaño-Garzon, Edgar Diaz-Camargo, Maria Judith Ba
    F1000Research.2019; 7: 565.     CrossRef
  • Obesity, Sarcopenia, and Smoking: Landscape in the Mist
    Seung-Won Oh
    Korean Journal of Family Medicine.2019; 40(2): 61.     CrossRef
  • Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela
    Valmore Bermudez, Luis Carlos Olivar, Wheeler Torres, Carla Navarro, Robys Gonzalez, Cristobal Espinoza, Alicia Morocho, Andres Mindiola, Maricarmen Chacin, Victor Arias, Roberto Añez, Juan Salazar, Manuel Riaño-Garzon, Edgar Diaz-Camargo, Maria Judith Ba
    F1000Research.2018; 7: 565.     CrossRef
  • Cigarette smoking and metabolic syndrome components: a cross-sectional study from Maracaibo City, Venezuela
    Valmore Bermudez, Luis Carlos Olivar, Wheeler Torres, Carla Navarro, Robys Gonzalez, Cristobal Espinoza, Alicia Morocho, Andres Mindiola, Maricarmen Chacin, Victor Arias, Roberto Añez, Juan Salazar, Manuel Riaño-Garzon, Edgar Diaz-Camargo, Maria Judith Ba
    F1000Research.2018; 7: 565.     CrossRef
  • Relationship between smoking characteristics and obesity among military personnel in Korea : Data from smoking cessation clinics, 2009∼2017
    Eunjoo Kwon, Suyoung Kim, Jieun Chu, Seon Cho, Eunhee Nah
    Korean Journal of Health Education and Promotion.2018; 35(5): 47.     CrossRef
Influence of behavioral determinants on deviation of body mass index among 12-15 years old school children of Panchkula
Amandeep Chopra, Nanak Chand Rao, Nidhi Gupta, Shelja Vashisth, Manav Lakhanpal
Epidemiol Health. 2014;36:e2014021.   Published online September 29, 2014
DOI: https://doi.org/10.4178/epih/e2014021
  • 17,280 View
  • 131 Download
  • 3 Web of Science
  • 2 Crossref
AbstractAbstract PDF
Abstract
OBJECTIVES
To evaluate the body mass index (BMI) and factors related to BMI in 12-15 years old adolescents attending school in the Panchkula district of Haryana, India.
METHODS
Our multistage sampling method enrolled 810 adolescents. Demographic data and dietary history data over 5 days were recorded. Height and weight were measured to calculate BMI, which was further categorized according to the World Health Organization classification system. Diet was analysed using the Nizel criteria and socioeconomic status (SES) was assessed using Prasad’s socioeconomic classification. The chi-squared test and analysis of variance test were performed, and a multinomial regression analysis was performed to find significant correlates with BMI.
RESULTS
The prevalences of underweight, normal weight, overweight, and obesity were 13.6, 58.4, 22.7, and 5.3%, respectively. The prevalence of both overweight and obesity was higher among males than that among females. The overall food group, nutrient, sweet, and oral health diet scores were higher among overweight and obese adolescents. Adolescents attending public school were 2.62 times more likely than private school adolescents were to be underweight. Private school adolescents were 2.08 times more likely than public school adolescents were to be overweight. Those with a high SES, vegetarians, and those aged 15 years were highly likely to be obese.
CONCLUSIONS
We found 41.6% of these adolescents to have a BMI that deviated from the norm. Important factors related with BMI were age, gender, socioeconomic score, mean daily diet score, and the type of school.
Summary

Citations

Citations to this article as recorded by  
  • Heavy menstrual bleeding among women aged 18–50 years living in Beijing, China: prevalence, risk factors, and impact on daily life
    Chengyi Ding, Jing Wang, Yu Cao, Yuting Pan, Xueqin Lu, Weiwei Wang, Lin Zhuo, Qinjie Tian, Siyan Zhan
    BMC Women's Health.2019;[Epub]     CrossRef
  • Association between underweight and tooth loss among Korean adults
    In-Seok Song, Kyungdo Han, Jae-Jun Ryu, Jun-Beom Park
    Scientific Reports.2017;[Epub]     CrossRef
ADIPOQ Gene Variants Associated with Susceptibility to Obesity and Low Serum Adiponectin Levels in Healthy Koreans
Ji Wan Park, Jungyong Park, Sun Ha Jee
Epidemiol Health. 2011;33:e2011003.   Published online April 25, 2011
DOI: https://doi.org/10.4178/epih/e2011003
  • 17,429 View
  • 123 Download
  • 17 Crossref
AbstractAbstract PDF
Abstract
<sec><title>OBJECTIVES</title><p>This study aimed to measure the association between the adiponectin, C1Q and collagen domain-containing (<italic>ADIPOQ</italic>) gene variants and obesity in Koreans.</p></sec><sec><title>METHODS</title><p>Three single nucleotide polymorphisms located in the <italic>ADIPOQ</italic> gene were genotyped in a population-based cross-sectional study of 986 healthy Koreans. Three different case-control groups (i.e. G1, G2, and G3) were defined according to body mass index (BMI) and serum adiponectin levels. Allelic and genotypic associations of this gene with obesity were measured using multivariate logistic regression analyses in each group.</p></sec><sec><title>RESULTS</title><p>The G allele of -11377C>G, a polymorphism located in the promoter region of the <italic>ADIPOQ</italic> gene (odds ratio (OR), 1.48; 95% confidence interval, 1.13-1.94) and most haplotypes including this allele significantly increased the risk for obesity. However, the OR decreased from 3.98 (G1 group) to 2.90 (G2 group) and 2.30 (G3 group) when a less strict definition of obesity was used. Most haplotypes, including this allele, significantly increased the risk of obesity. The statistical evidence from the GG genotype of -11377C>G (OR, 3.98) and the GT/GT diplotype composed of -11377G>C and +45T>G (OR, 5.20) confirmed the contribution of the G allele toward a predisposition for obesity.</p></sec><sec><title>CONCLUSION</title><p>These results suggest the contribution of the <italic>ADIPOQ</italic> gene toward susceptibility to obesity in healthy Koreans. The high-risk genotypes and haplotypes identified here may provide more information for identifying individuals who are at risk of obesity.</p></sec>
Summary

Citations

Citations to this article as recorded by  
  • Risk variants of obesity associated genes demonstrate BMI raising effect in a large cohort
    Muhammad Saqlain, Madiha Khalid, Muhammad Fiaz, Sadia Saeed, Asad Mehmood Raja, Muhammad Mobeen Zafar, Tahzeeb Fatima, João Bosco Pesquero, Cristina Maglio, Hadi Valadi, Muhammad Nawaz, Ghazala Kaukab Raja, Nidaa Ababneh
    PLOS ONE.2022; 17(9): e0274904.     CrossRef
  • Association of the ADIPOQ-AS LncRNA polymorphism rs2241766 with obesity: A Meta-analysis
    M.N. Ammar, L. Lipovich, R.M. Ali, M.A. Amelina, T.P. Shkurat
    Human Gene.2022; 34: 201114.     CrossRef
  • Common Variants in Lipid Metabolism–Related Genes Associate with Fat Mass Changes in Response to Dietary Monounsaturated Fatty Acids in Adults with Abdominal Obesity
    Shatha S Hammad, Peter Eck, Jyoti Sihag, Xiang Chen, Philip W Connelly, Benoît Lamarche, Patrick Couture, Valérie Guay, Julie Maltais-Giguère, Sheila G West, Penny M Kris-Etherton, Kate J Bowen, David J A Jenkins, Carla G Taylor, Danielle Perera, Angela W
    The Journal of Nutrition.2019; 149(10): 1749.     CrossRef
  • Associations between polymorphisms of the ADIPOQ gene and hypertension risk: a systematic and meta-analysis
    Weina Fan, Xiaowei Qu, Jing Li, Xingning Wang, Yanping Bai, Qingmei Cao, Liqun Ma, Xiaoyao Zhou, Wei Zhu, Wei Liu, Qiang Ma
    Scientific Reports.2017;[Epub]     CrossRef
  • An Updated Systematic Review and Meta-analysis of Association Between Adiponectin Gene Polymorphisms and Coronary Artery Disease
    Haifeng Hou, Siqi Ge, Linlin Zhao, Chenglin Wang, Wei Wang, Xuezhen Zhao, Zheng Sun
    OMICS: A Journal of Integrative Biology.2017; 21(6): 340.     CrossRef
  • Change in Weight and Body Mass Index Associated With All-Cause Mortality in Korea: A Nationwide Longitudinal Study
    Yang-Hyun Kim, Seon Mee Kim, Kyung-do Han, Jang-Won Son, Seong-Su Lee, Sang Woo Oh, Won-Young Lee, Soon Jib Yoo
    The Journal of Clinical Endocrinology & Metabolism.2017; 102(11): 4041.     CrossRef
  • A Validation Study of Adiponectin rs266729 Gene Variant with Type 2 Diabetes, Obesity, and Metabolic Phenotypes in a Taiwanese Population
    Tun-Jen Hsiao, Eugene Lin
    Biochemical Genetics.2016; 54(6): 830.     CrossRef
  • ADIPOQ and IL6 variants are associated with a pro-inflammatory status in obeses with cardiometabolic dysfunction
    Raquel de Oliveira, Tamiris Invencioni Moraes, Alvaro Cerda, Mario Hiroyuki Hirata, Cristina Moreno Fajardo, Marcela Correia Sousa, Egidio Lima Dorea, Márcia Martins Silveira Bernik, Rosario Dominguez Crespo Hirata
    Diabetology & Metabolic Syndrome.2015;[Epub]     CrossRef
  • Metabolic abnormalities in young Egyptian women with polycystic ovary syndrome and their relation to ADIPOQ gene variants and body fat phenotype
    Moushira Zaki, Shams Kholoussi, Somaia Ismail, Haiam Abdel Raouf, Iman Helwa, Naglaa Hassan, Eman Youness, Nadia A. Mohamed, Sanaa Kamal, Walaa Yousef, Mohamed Shaker, Wafaa Ezzat, Yasser A. Elhosary, Omnia M. Saleh, Mona El Gammal, HalaT. El-Bassyouni, S
    Egyptian Journal of Medical Human Genetics.2015; 16(4): 367.     CrossRef
  • Gender-specific associations between ADIPOQ gene polymorphisms and adiponectin levels and obesity in the Jackson Heart Study cohort
    Pia Riestra, Samson Y. Gebreab, Ruihua Xu, Rumana J. Khan, Aurelian Bidulescu, Adolfo Correa, Fasil Tekola-Ayele, Sharon K. Davis
    BMC Medical Genetics.2015;[Epub]     CrossRef
  • Association of ADIPOQ polymorphisms with obesity risk: A meta-analysis
    Jie-fu Lu, You Zhou, Gui-hua Huang, Hai-xing Jiang, Bang-li Hu, Shan-yu Qin
    Human Immunology.2014; 75(10): 1062.     CrossRef
  • Polymorphisms of the adiponectin gene in gestational hypertension and pre-eclampsia
    J S R Machado, A C T Palei, L M Amaral, A C Bueno, S R Antonini, G Duarte, J E Tanus-Santos, V C Sandrim, R C Cavalli
    Journal of Human Hypertension.2014; 28(2): 128.     CrossRef
  • Effect of the ADIPOQ Gene -11391G/A Polymorphism Is Modulated by Lifestyle Factors in Mexican Subjects
    Maritza Roxana Garcia-Garcia, María Antonieta Morales-Lanuza, Wendy Yareny Campos-Perez, Bertha Ruiz-Madrigal, Monserrat Maldonado-Gonzalez, Barbara Vizmanos, Ivan Hernandez-Cañaveral, Irinea Yañez-Sanchez, Sonia Roman, Arturo Panduro, Erika Martinez-Lope
    Lifestyle Genomics.2014; 7(4-6): 212.     CrossRef
  • Adiponectin gene polymorphisms may not be associated with idiopathic premature ovarian failure
    Yuqin Ye, Danhua Pu, Jiayin Liu, Fanghong Li, Yugui Cui, Jie Wu
    Gene.2013; 518(2): 262.     CrossRef
  • Adiponectin Level and Gene Variability Are Obesity and Metabolic Syndrome Markers in a Young Population
    Ivana Karmelić, Jasna Lovrić, Tamara Božina, Hana Ljubić, Željka Vogrinc, Nada Božina, Jadranka Sertić
    Archives of Medical Research.2012; 43(2): 145.     CrossRef
  • Single-nucleotide polymorphisms and haplotypes in the adiponectin gene contribute to the genetic risk for type 2 diabetes in Tunisian Arabs
    Nabil Mtiraoui, Intissar Ezzidi, Amira Turki, Arbi Chaieb, Touhami Mahjoub, Wassim Y. Almawi
    Diabetes Research and Clinical Practice.2012; 97(2): 290.     CrossRef
  • Associations of adiponectin gene polymorphisms with polycystic ovary syndrome: a meta-analysis
    Hongxia Jia, Lili Yu, Xuxiao Guo, Wei Gao, Zhaoshun Jiang
    Endocrine.2012; 42(2): 299.     CrossRef
The Association Between Adiponectin and Diabetes in the Korean Population.
Sun Ha Jee, Hee Yeon Lee, Sun Ju Lee, Ji Eun Yun, Eun Jung Jee, Hye Yun Song, Sang Yeun Kim, Jungyong Park, Hyon Suk Kim
Korean J Epidemiol. 2007;29(2):176-186.
  • 65,535 View
  • 21 Download
AbstractAbstract PDF
Abstract
BACKGROUND
As indicators of obesity, waist circumference (WC), body mass index (BMI), and adiponectin are well known risk factor for diabetes mellitus. The objectives of this study were to measure the independent association between these obesity indicators and diabetes and to examine the combined effect of these indicators on diabetes in a Korean population.
METHODS
The WC, BMI, and serum adiponectin were measured in 6,505 healthy Koreans and were classified into tertile groups for men and women. The independent and combined associations of the obesity indicators with diabetes were measured using logistic regression analyses. Diabetes was defined as fasting serum glucose greater than 126 mg/dL or taking medication.
RESULTS
Levels of adiponectin were inversely associated with BMI and WC and directly associated with age and high density lipoprotein cholesterol (HDL) cholesterol (P <0.001). After adjusting for age, WC, and other lifestyle factors, low levels of adiponectin were associated with an increased prevalence of diabetes. Further adjustment for HDL cholesterol and triglyceride attenuated this association in both men and women. The best cut-off value of adiponectin in terms of identifying the presence of diabetes was 5.5 /ml with a sensitivity and specificity of 46.7% and 63.9% for men and 9.5 /ml with a sensitivity and specificity of 68.2% and 55.2 for women.
CONCLUSIONS
These results suggest that adiponectin was associated with diabetes. The association was independent of WC and was partly modified by HDL and triglyceride. There were no effect modifications of adiponectin with WC on diabetes.
Summary
Distribution and Correlates of Obesity in a Korean Rural People.
Jong Ku Park, Sang Baek Koh, Myung Gun Kang, Jin Baek Kim, Sook Jung Hyun, Ju Hee Hong, Jun Ho Park, Sei Jin Chang
Korean J Epidemiol. 2004;26(2):8-19.
  • 5,461 View
  • 21 Download
AbstractAbstract PDF
Abstract
OBJECTIVE: The aim of present study was to assess the distribution and correlates of obesity in a Korean rural people using both body mass index(BMI) and body fat percent.
METHODS
A total of 1,243 participants were recruited using a two-staged stratified sampling. A structured questionnaire was used to ask their sociodemographics (gender, age, marital status, educational background, and etc.) and health-related behaviors (smoking, drinking, and regular exercise etc.). The data of weight-for height, and body fat percent were also collected by physical examination. For the estimation and analysis of correlates of obesity, we used BMI(>or=25kg/m2) and body fat percent(male>or=25%, female>or=30) as a cut-point of obesity. All analyses were stratified to three age groups(>20, 20-39, 40>or=).
RESULTS
The prevalence of obesity in this study was higher than that in previous studies. This study showed that 32.6% (male: 33.7%, female: 31.7%) of participants according to BMI, and 45.6% (male: 43.8%, female: 47.4%) of them according to body fat percent were obese group. Logistic regression analysis showed that, in the criteria of BMI, while obesity was associated with female and low educational background under the age of 40, prevalence of obesity was higher in non smokers over the age of 40. In case of body fat percent crteria, single(unmarried, divorced, separated, widowed) were more likely to be obese in male aged 20 to 39 years. In the group aged 40 years and over, risk of obesity was higher in female than in male.
CONCLUSION
This result suggests that obesity is common in Korean rural areas, especially among adolescents and female aged 40 years or over, and the risk factors for obesity were different by age. It is required that health management program focusing on obesity and its adverse outcomes should be developed in a community setting.
Summary
Epidemiol Health : Epidemiology and Health
© Korean Society of Epidemiology.