Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search
Advanced Search
mobile menu button

Search

Page Path
HOME > Search
28 "body mass index"
Filter
Filter
Article category
Keywords
More +
Publication year
More +
Authors
More +
Funded articles
More +
Original Articles
Modern Contraception and Anaemia Among Reproductive-age Women in India: Results From a Household Survey
Mihir Adhikary, Poulami Barman, Bharti Singh, Abhishek Anand
J Prev Med Public Health. 2024;57(4):339-346.   Published online June 19, 2024
DOI: https://doi.org/10.3961/jpmph.23.504
  • 1,329 View
  • 167 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Chronic anaemia is a significant health concern, particularly among women of childbearing age. Factors such as menstrual blood loss, childbirth, inadequate nutrition, closely spaced pregnancies, and recurrent gastrointestinal bleeding increase the risk of anaemia. This study investigated whether current contraceptive methods are associated with anaemia in Indian women of reproductive age.
Methods
Cross-sectional data from the fifth round of the National Family Health Survey, conducted in 2019-2021, were used for this investigation. We included only non-pregnant and non-amenorrhoeic women in our analysis, resulting in a final analytical sample of 673 094 women aged 15-49. Bivariate cross-tabulations and multivariable logistic regression were employed to analyse the data.
Results
The prevalence of anaemia was 57%, and the adjusted regression models found no significant association between the use of any contraceptive methods and women’s haemoglobin status. Women using traditional contraceptive methods had 1.08 (95% confidence interval, 1.05 to 1.11) times higher odds of having anaemia. Among the modern methods, other than injectables, all other methods—such as an intrauterine device, barrier use, and sterilisation—were associated with higher odds of anaemia compared to women who used contraceptive pills.
Conclusions
This study explored the relationship between modern contraceptives and haemoglobin levels in India, revealing that injectables were associated with a notable reduction in the odds of anaemia, whereas traditional contraceptives and other modern methods exhibited positive associations with anaemia. These findings prompt policymakers to focus on anaemia reduction and safe contraceptives. More research is needed to inform decisions, given the scant literature.
Summary
Key Message
This study investigated the association between contraceptive methods and anaemia in Indian women of reproductive age using data from the 2019-2021 National Family Health Survey. Results indicated that traditional contraceptives and several modern methods, except injectables, were associated with higher odds of anaemia. These findings suggest the need for policymakers to focus on anaemia reduction and the promotion of safer contraceptive options.
Association Between Parental BMI and Offspring’s Blood Pressure by Mediation Analysis: A Study Using Data From the Korean National Health and Nutrition Examination Survey
Hyowon Choi, Hunju Lee, Yeon-Soon Ahn
J Prev Med Public Health. 2023;56(6):533-541.   Published online October 30, 2023
DOI: https://doi.org/10.3961/jpmph.23.289
  • 1,849 View
  • 91 Download
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study analyzed the relationship between parental body mass index (BMI; BMI_p) and hypertension in their adolescent offspring (HTN_a), focusing on the mediating effect of adolescents’ BMI (BMI_a).
Methods
Utilizing data from the Korea National Health and Nutrition Examination Survey, including participants aged 12-18, we conducted a mediation analysis while controlling for confounding factors such as age, sex, physical activity, dietary habits, household income quartile, and parents’ alcohol and smoking habits.
Results
The study included a total of 5731 participants, of whom 3381 and 5455 participants had data on fathers’ and mothers’ BMI, respectively. For adolescent systolic blood pressure (SBP_a), the father’s BMI (BMI_f) had a significant total effect (β, 0.23; 95% confidence interval [CI], 0.12 to 0.34) and average controlled mediated effect (ACME) (β, 0.27; 95% CI, 0.23 to 0.32), but the average direct effect (ADE) was not significant. The mother’s BMI (BMI_m) had a significant total effect (β, 0.17; 95% CI, 0.09 to 0.25), ACME (β, 0.25; 95% CI, 0.22 to 0.28) and ADE (β, -0.08; 95% CI, -0.16 to 0.00). For adolescent diastolic blood pressure, both BMI_f and BMI_m had significant ACMEs (β, 0.10; 95% CI, 0.08 to 0.12 and β, 0.09; 95% CI, 0.07 to 0.12, respectively), BMI_m had a significant ADE (β, -0.09; 95% CI, -0.16 to -0.02) but BMI_f had an insignificant ADE and total effect.
Conclusions
The study found that parental BMI had a significant effect on SBP_a, mediated through BMI_a. Therefore, a high BMI in parents could be a risk factor, mediated through BMI_a, for systolic hypertension in adolescents, necessitating appropriate management.
Summary
Korean summary
본 연구를 통해 부모의 BMI가 청소년기의 BMI를 매개하여 청소년의 수축기 혈압에 영향을 미침을 확인할 수 있었습니다. 그러나 본 연구는 단면적인 데이터를 활용하였으며, 후향적 연구로 이에 대한 한계를 가지고 있으며, 이후 이에 대한 추가 연구가 필요합니다.
Key Message
This study was able to confirm that parents' BMI mediated their BMI during adolescence and affected systolic blood pressure in adolescents. However, this study utilized cross-sectional data, and has limitations on this as a retrospective study, so further studies are needed.
Discrete-time Survival Analysis of Risk Factors for Early Menarche in Korean Schoolgirls
Yong Jin Gil, Jong Hyun Park, Joohon Sung
J Prev Med Public Health. 2023;56(1):59-66.   Published online December 29, 2022
DOI: https://doi.org/10.3961/jpmph.22.428
  • 2,076 View
  • 100 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data.
Methods
The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild’s conditional probability of menarche during a given time interval using general health condition and annual household income as covariates.
Results
Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche.
Conclusions
Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.
Summary
Korean summary
초경연령의 조기화는 세계적인 현상이나 유독 우리나라에서는 그 단축속도가 매우 빠르나. 그 위험요인은 비만 이외에 확립되어 있지 못하다. 본 연구는 한국아동청소년패널의 2010-16년도까지 추적관찰된 914 명의 여아 자료를 Gompetz 회귀모형 (다중 분절형 생존분석모형)을 통해 분석하였며, 그 결과 과체중은 1년의 초경연령 단축을 유발할 위험도가 정상체중 여아에 비해 1.63배, 수면시간이 충분하지 못한 여아는 충분한 수면을 취하는 여아에 비해 1년의 초경연령 단축이 발생할 위험도가 1.38배 높은 것으로 나타났다.

Citations

Citations to this article as recorded by  
  • Neighbourhood environment and early menarche among adolescent girls of five countries
    Erdenetuya Bolormaa, Taemi Kim, Eunson Gwak, Seung-Ah Choe, Adriane Martin Hilber
    The European Journal of Contraception & Reproductive Health Care.2024; : 1.     CrossRef
The Association Between Metabolic Syndrome and Colorectal Cancer Risk by Obesity Status in Korean Women: A Nationwide Cohort Study
Seong-geun Moon, Boyoung Park
J Prev Med Public Health. 2022;55(5):475-484.   Published online September 21, 2022
DOI: https://doi.org/10.3961/jpmph.22.286
  • 3,039 View
  • 123 Download
  • 2 Web of Science
  • 1 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study aimed to determine the association between metabolic syndrome (MetS) and the incidence of colorectal cancer (CRC) in Korean women with obesity.
Methods
Cancer-free women (n=6 142 486) aged 40-79 years, who underwent National Health Insurance Service health examinations in 2009 and 2010 were included. The incidence of CRC was followed until 2018. The hazard ratio (HR) of MetS for the incidence of colon and rectal cancer was analyzed according to body mass index (BMI) categories, adjusting for confounders such as women’s reproductive factors. In addition, the heterogeneity of associations across BMI categories was assessed.
Results
Women with MetS were at increased risk of colon and rectal cancer compared to women without MetS (HR, 1.20; 95% confidence interval [CI], 1.16 to 1.23 and HR,1.15; 95% CI, 1.11 to 1.20), respectively. The HR of MetS for colon cancer across BMI categories was 1.12 (95% CI, 1.06 to 1.19), 1.14 (95% CI, 1.08 to 1.20), and 1.16 (95% CI, 1.12 to 1.21) in women with BMIs <23.0 kg/m2, 23.0-24.9 kg/m2, and ≥25.0 kg/m2, respectively. The HR of MetS for rectal cancer across corresponding BMI categories was 1.16 (95% CI, 1.06 to 1.26), 1.14 (95% CI, 1.05 to 1.23), and 1.13 (95% CI, 1.06 to 1.20). The heterogeneity of associations across BMI categories was not significant in either colon or rectal cancer (p=0.587 for colon cancer and p=0.927 for rectal cancer).
Conclusions
Women with MetS were at increased risk of colon and rectal cancer. Clinical and public health strategies should be considered for primary CRC prevention with an emphasis on improving women’s metabolic health across all BMI groups.
Summary
Korean summary
한국 여성에서 대사증후군은 대장암 발생과 직장암 발생에 유의한 위험요인으로 보인다. 이는 체질량지수를 층화하고 여성력과 관련된 요인들을 보정하더라도 유의했다. 한국 여성의 대장암 및 직장암 예방을 위해 비만도에 관계 없이 대사증후군 요소를 관리하는 것이 필요하다.

Citations

Citations to this article as recorded by  
  • Increased risk of cancer and cancer-related mortality in middle-aged Korean women with prediabetes and diabetes: a population-based study
    Thi Xuan Mai Tran, Soyeoun Kim, Huiyeon Song, Boyoung Park
    Epidemiology and Health.2023; 45: e2023080.     CrossRef
Self-efficacy to Engage in Physical Activity and Overcome Barriers, Sedentary Behavior, and Their Relation to Body Mass Index Among Elderly Indonesians With Diabetes
Qonita Rachmah, Stefania Widya Setyaningtyas, Mahmud Aditya Rifqi, Diah Indriani, Triska Susila Nindya, Hario Megatsari, Trias Mahmudiono, Wantanee Kriengsinyos
J Prev Med Public Health. 2019;52(4):242-249.   Published online July 2, 2019
DOI: https://doi.org/10.3961/jpmph.19.003
  • 7,557 View
  • 272 Download
  • 14 Crossref
AbstractAbstract PDF
Objectives
Elderly individuals with diabetes should maintain a normal body mass index (BMI) to help control their blood glucose levels. This study investigated barriers to physical activity (PA), self-efficacy to overcome those barriers, and PA self-efficacy among elderly individuals with diabetes in relation to BMI.
Methods
This cross-sectional study included 56 participants. Data were collected by a questionnaire interview and direct measurements for anthropometric data. PA self-efficacy was measured using 8 questions describing different levels of PA, where participants rated the strength of their belief that they could engage in that activity. Self-efficacy to overcome barriers was measured using 10 questions capturing participants’ confidence in their ability to engage in PA despite different possible barriers. Mean scores for these parameters were analyzed using the chi-square test and the independent t-test.
Results
In total, 89.3% of participants had a low PA level and 58.9% had more than 3 hours of sedentary activity per day. Furthermore, 55.4% were obese and 14.3% were overweight. The mean scores for PA self-efficacy and self-efficacy to overcome barriers were 59.1± 26.4 and 52.5±13.8, respectively. PA level was related to BMI (p<0.001; r=0.116) and sedentary activity (p<0.05; r=0.274). PA self-efficacy and age were not related to BMI. Barriers to PA were associated with PA levels (p<0.05).
Conclusions
Physical inactivity was a major problem in elderly individuals with diabetes, and was correlated with higher BMI. Lower levels of PA might be mediated by sedentary activity.
Summary

Citations

Citations to this article as recorded by  
  • Exploring physical therapists’ approach to addressing home exercise program-related low self-efficacy: knowledge, strategies, and barriers
    Mariana Wingood, Patricia M. Bamonti, Justin B. Moore, Kelsey J. Picha
    Disability and Rehabilitation.2024; : 1.     CrossRef
  • Implications on self-care behaviors among older Korean immigrants diagnosed with diabetes residing in the United States: a path analytical approach
    Jung Eun Kim, Ying Hong Jiang, Vivien Dee
    Journal of Diabetes & Metabolic Disorders.2023; 23(1): 871.     CrossRef
  • The Effect of Educational Intervention Based on Theory of Planned Behavior Approach on Complementary Feeding: A Randomized Controlled Trial
    Qonita Rachmah, Junaida Astina, Dominikus Raditya Atmaka, Leli Khairani, Chiara Leoni
    International Journal of Pediatrics.2023; 2023: 1.     CrossRef
  • The application of social cognitive theory (SCT) to the mHealth diabetes physical activity (PA) app to control blood sugar levels of type 2 diabetes mellitus (T2DM) patients in Takalar regency
    Zainuddin, Andi Zulkifli Abdullah, Nurhaedar Jafar, Suriah, Nursalam, Darmawansyah, Syahrul Syahrul, Wahiduddin, Fransiskus Xaverius Widiantoro, Rizal Irfandi
    Journal of Public Health Research.2023; 12(2): 227990362311727.     CrossRef
  • Classroom-Based Physical Activity as a Means to Improve Self-Efficacy and Academic Achievement among Normal-Weight and Overweight Youth
    Francesca Latino, Francesco Tafuri, Emma Saraiello, Domenico Tafuri
    Nutrients.2023; 15(9): 2061.     CrossRef
  • Incorporating Physical Activity Assessments and Behavior Change Techniques Into Geriatrics
    Mariana Wingood, Jonathan F. Bean, Amy M. Linsky
    Archives of Rehabilitation Research and Clinical Translation.2023; 5(4): 100293.     CrossRef
  • Examining physical activity participation barriers among adults 50 years and older: a scoping review
    Mariana Wingood, Michelle G. Criss, Kent E. Irwin, Patricia M. Bamonti, Rebekah Harris, Emma L. Phillips, Jennifer L. Vincenzo, Kevin K. Chui
    Physical Therapy Reviews.2023; 28(3): 195.     CrossRef
  • A Scoping Review of Predictors Associated with Self-Efficacy Among Patients with Coronary Heart Disease
    Firman Sugiharto, Aan Nuraeni, Yanny Trisyani, Azalia Putri, Nuraulia Armansyah, Asroful Zamroni
    Vascular Health and Risk Management.2023; Volume 19: 719.     CrossRef
  • Yaşlı Bireylerin Fiziksel Aktivite Engellerinin İncelenmesi
    Gülseren YÜREKLİ, Behsat SAVAS, Fatma ÇELİK KAYAPINAR
    CBÜ Beden Eğitimi ve Spor Bilimleri Dergisi.2023; 18(2): 803.     CrossRef
  • The Effectiveness of Nutrition and Health Intervention in Workplace Setting: A Systematic Review
    Qonita Rachmah, Tri Martiana, Mulyono, Indriati Paskarini, Endang Dwiyanti, Noeroel Widajati, Meirina Ernawati, Yustinus D Ardyanto, Abdul R. Tualeka, Dani N. Haqi, Shintia Y. Arini, Putri A. Alayyannur
    Journal of Public Health Research.2022; 11(1): jphr.2021.2312.     CrossRef
  • Regular Exercise and Depressive Symptoms in Korean Older Adults
    Young-Mee Kim, Sung-il Cho
    International Journal of Environmental Research and Public Health.2021; 18(1): 303.     CrossRef
  • Self-efficacy in physical activity and glycemic control among older adults with diabetes in Jagir Subdistrict, Surabaya, Indonesia
    Trias Mahmudiono, Stefania W. Setyaningtyas, Qonita Rachmah, Triska S. Nindya, Hario Megatsari, Diah Indriani, Mahmud A. Rifqi, Wantanee Kriengsinyos
    Heliyon.2021; 7(7): e07578.     CrossRef
  • The Influence of Physical Education on Self-Efficacy in Overweight Schoolgirls: A 12-Week Training Program
    Francesca Latino, Stefania Cataldi, Valerio Bonavolontà, Roberto Carvutto, Michele De Candia, Francesco Fischetti
    Frontiers in Psychology.2021;[Epub]     CrossRef
  • The Influence of Social Support on Physical Activity in Chinese Adolescents: The Mediating Role of Exercise Self-Efficacy
    Zhanbing Ren, Linlin Hu, Jane Yu, Qian Yu, Sitong Chen, Yudan Ma, Jingyuan Lin, Lin Yang, Xiaoyun Li, Liye Zou
    Children.2020; 7(3): 23.     CrossRef
Non-linear Relationship Between Body Mass Index and Lower Urinary Tract Symptoms in Korean Males
Chang Kyun Choi, Sun A Kim, Ji-An Jeong, Sun-Seog Kweon, Min-Ho Shin
J Prev Med Public Health. 2019;52(3):147-153.   Published online March 29, 2019
DOI: https://doi.org/10.3961/jpmph.18.259
  • 10,497 View
  • 187 Download
  • 1 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
The purpose of this study was to evaluate the association between body mass index (BMI) and severe lower urinary tract symptoms (LUTS) in Korean males.
Methods
This study was conducted on males aged ≥50 years who participated in the 2011 Korean Community Health Survey. LUTS severity was assessed using the Korean version of the International Prostate Symptom Score (IPSS) questionnaire, and was dichotomized as severe (IPSS >19) and non-severe (IPSS ≤19). BMI was divided into 6 categories: <18.5, 18.5-22.9, 23.0-24.9, 25.0-27.4, 27.5-29.9, and ≥30.0 kg/m2. To evaluate the relationship between BMI and LUTS, a survey-weighted multivariate Poisson regression analysis was performed to estimate prevalence rate ratios (PRRs). Age, smoking status, alcohol intake, physical activity, educational level, household income, and comorbidities were adjusted for in the multivariate model.
Results
A U-shaped relationship was detected between BMI and severe LUTS. Compared with a BMI of 23.0-24.9 kg/m2, the PRR for a BMI <18.5 kg/m2 was 1.65 (95% confidence interval [CI], 1.35 to 2.02), that for a BMI of 18.5-22.9 kg/m2 was 1.25 (95% CI, 1.09 to 1.44), that for a BMI of 25.0-27.4 kg/m2 was 1.20 (95% CI, 1.00 to 1.45), that for a BMI of 27.5-29.9 kg/m2 was 1.11 (95% CI, 0.83 to 1.47), and that for a BMI ≥30.0 kg/m2 was 1.85 (95% CI, 1.18 to 2.88).
Conclusions
This study showed that both high and low BMI were associated with severe LUTS.
Summary
Korean summary
이 연구는 2011 지역사회건강조사를 기반으로 하였다. 한국인 남성에서 체질량지수와 하부요로증상 간에는 U자형 관련성이 있었으며, 저체중과 비만 모두 높은 하부요로증상 유병률을 보였다. 따라서 전립선 질환의 건강서비스 제공에 있어서 비만 뿐만 아니라 저체중 또한 위험인자로 함께 고려할 필요가 있다.

Citations

Citations to this article as recorded by  
  • Metabolic syndrome and male lower urinary tract symptoms
    Gallus B. INEICHEN, Fiona C. BURKHARD
    Panminerva Medica.2022;[Epub]     CrossRef
Can Obesity Cause Depression? A Pseudo-panel Analysis
Hyungserk Ha, Chirok Han, Beomsoo Kim
J Prev Med Public Health. 2017;50(4):262-267.   Published online June 27, 2017
DOI: https://doi.org/10.3961/jpmph.17.067
  • 12,661 View
  • 243 Download
  • 18 Crossref
AbstractAbstract PDF
Objectives
The US ranks ninth in obesity in the world, and approximately 7% of US adults experience major depressive disorder. Social isolation due to the stigma attached to obesity might trigger depression. Methods: This paper examined the impact of obesity on depression. To overcome the endogeneity problem, we constructed pseudopanel data using the Behavioral Risk Factor Surveillance System from 1997 to 2008. Results: The results were robust, and body mass index (BMI) was found to have a positive effect on depression days and the percentage of depressed individuals in the population. Conclusions: We attempted to overcome the endogeneity problem by using a pseudo-panel approach and found that increases in the BMI increased depression days (or being depressed) to a statistically significant extent, with a large effect size.
Summary

Citations

Citations to this article as recorded by  
  • Associations between adiposity measures and depression and well-being scores: A cross-sectional analysis of middle- to older-aged adults
    Caoimhe Lonergan, Seán R. Millar, Zubair Kabir, Yuichiro Nishida
    PLOS ONE.2024; 19(3): e0299029.     CrossRef
  • Comparison of Dutch healthy eating and healthy eating indexes and anthropometry in patients with major depression with health subjects: a case-control study
    Melika Tohidi Nafe, Ariyo Movahedi, Abolghasem Djazayery
    Frontiers in Nutrition.2024;[Epub]     CrossRef
  • Mindful eating for weight loss in women with obesity: a randomised controlled trial
    Renata Bressan Pepe, Graziele Souza de Menezes Amorim Coelho, Flavia da Silva Miguel, Ana Carolina Gualassi, Marcela Mosconi Sarvas, Cintia Cercato, Marcio C. Mancini, Maria Edna de Melo
    British Journal of Nutrition.2023; 130(5): 911.     CrossRef
  • Weight discrimination, BMI, or weight bias internalization? Testing the best predictor of psychological distress and body dissatisfaction
    Sergio Macho, Ana Andrés, Carmina Saldaña
    Obesity.2023; 31(8): 2178.     CrossRef
  • The Relationship Between Pregnancy Body Mass Index and Delivery Method and Postpartum Depression
    Ayça ŞOLT, Derya KANZA GÜL
    Acibadem Universitesi Saglik Bilimleri Dergisi.2023;[Epub]     CrossRef
  • “Jolly fat” or “sad fat”: a systematic review and meta-analysis of the association between obesity and depression among community-dwelling older adults
    Mingming Yu, Yuexian Shi, Libin Gu, Wenru Wang
    Aging & Mental Health.2022; 26(1): 13.     CrossRef
  • Computational approaches to predicting treatment response to obesity using neuroimaging
    Leonard Kozarzewski, Lukas Maurer, Anja Mähler, Joachim Spranger, Martin Weygandt
    Reviews in Endocrine and Metabolic Disorders.2022; 23(4): 773.     CrossRef
  • Factors Associated With Myocardial Infarction Reoccurrence
    Willie M. Abel, Lauren N. Scanlan, Carolyn E. Horne, Patricia B. Crane
    Journal of Cardiovascular Nursing.2022; 37(4): 359.     CrossRef
  • Effects of obesity on neuroinflammatory and neurochemical parameters in an animal model of reserpine-induced Parkinson's disease
    Eulla Keimili Fernandes Ferreira Cavalheiro, Larissa Espindola da Silva, Mariana Pacheco Oliveira, Marina Goulart Silva, Adriani Paganini Damiani, Catharina de Bem Ribeiro, Marina Lummertz Magenis, Luana Cucker, Monique Michels, Larissa Joaquim, Richard S
    Behavioural Brain Research.2022; 434: 114019.     CrossRef
  • Calorie restriction in combination with prebiotic supplementation in obese women with depression: effects on metabolic and clinical response
    Elnaz Vaghef-Mehrabany, Fatemeh Ranjbar, Mohammad Asghari-Jafarabadi, Sonia Hosseinpour-Arjmand, Mehrangiz Ebrahimi-Mameghani
    Nutritional Neuroscience.2021; 24(5): 339.     CrossRef
  • Investigation of quality of life in obese adolescents: the effect of psychiatric symptoms of obese adolescent and/or mother on quality of life
    Ümit Işık, Büşra Bağcı, Faruk Kılıç, Evrim Aktepe, Mustafa Özgür Pirgon
    Journal of Pediatric Endocrinology and Metabolism.2021; 34(12): 1593.     CrossRef
  • Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature
    Olivia Remes, João Francisco Mendes, Peter Templeton
    Brain Sciences.2021; 11(12): 1633.     CrossRef
  • The Effect of an Abnormal BMI on Orthopaedic Trauma Patients: A Systematic Review and Meta-Analysis
    Florence Kinder, Peter V. Giannoudis, Tim Boddice, Anthony Howard
    Journal of Clinical Medicine.2020; 9(5): 1302.     CrossRef
  • The impact of BMI on mental health: Further evidence from genetic markers
    Vikesh Amin, Carlos A. Flores, Alfonso Flores-Lagunes
    Economics & Human Biology.2020; 38: 100895.     CrossRef
  • Efficacy of weight loss intervention can be predicted based on early alterations of fMRI food cue reactivity in the striatum
    Petra Hermann, Viktor Gál, István Kóbor, C. Brock Kirwan, Péter Kovács, Tamás Kitka, Zsuzsanna Lengyel, Eszter Bálint, Balázs Varga, Csongor Csekő, Zoltán Vidnyánszky
    NeuroImage: Clinical.2019; 23: 101803.     CrossRef
  • Does Depression Cause Obesity or Does Obesity Prompt Depression?
    Nevzat Demirci
    International Journal of Disabilities Sports and Health Sciences.2019; 2(1): 25.     CrossRef
  • The association between body mass index and postpartum depression: A population-based study
    Michael E. Silverman, Lauren Smith, Paul Lichtenstein, Abraham Reichenberg, Sven Sandin
    Journal of Affective Disorders.2018; 240: 193.     CrossRef
  • Obesity and the onset of depressive symptoms among middle-aged and older adults in China: evidence from the CHARLS
    Huiqiang Luo, Jijie Li, Qi Zhang, Peiya Cao, Xiaohui Ren, Aiping Fang, Haiying Liao, Lijuan Liu
    BMC Public Health.2018;[Epub]     CrossRef
The Combined Effect of Subjective Body Image and Body Mass Index (Distorted Body Weight Perception) on Suicidal Ideation
Jaeyong Shin, Young Choi, Kyu-Tae Han, Sung-Youn Cheon, Jae-Hyun Kim, Sang Gyu Lee, Eun-Cheol Park
J Prev Med Public Health. 2015;48(2):94-104.   Published online March 14, 2015
DOI: https://doi.org/10.3961/jpmph.14.055
  • 10,783 View
  • 141 Download
  • 16 Crossref
AbstractAbstract PDF
Objectives
Mental health disorders and suicide are an important and growing public health concern in Korea. Evidence has shown that both globally and in Korea, obesity is associated with an increased risk of developing some psychiatric disorders. Therefore, we examined the association between distorted body weight perception (BWP) and suicidal ideation.
Methods
Data were obtained from the 2007-2012 Korea National Health and Nutritional Evaluation Survey (KNHANES), an annual cross-sectional nationwide survey that included 14 276 men and 19 428 women. Multiple logistic regression analyses were conducted to investigate the associations between nine BWP categories, which combined body image (BI) and body mass index (BMI) categories, and suicidal ideation. Moreover, the fitness of our models was verified using the Akaike information criterion.
Results
Consistent with previous studies, suicidal ideation was associated with marital status, household income, education level, and perceived health status in both genders. Only women were significantly more likely to have distorted BWP; there was no relationship among men. In category B1 (low BMI and normal BI), women (odds ratio [OR], 2.25; 95% confidence interval [CI], 1.48 to 3.42) were more likely to express suicidal ideation than women in category B2 (normal BMI and normal BI) were. Women in overweight BWP category C2 (normal BMI and fat BI) also had an increased OR for suicidal ideation (OR, 2.25; 95% CI, 1.48 to 3.42). Those in normal BWP categories were not likely to have suicidal ideation. Among women in the underweight BWP categories, only the OR for those in category A2 (normal BMI and thin BI) was significant (OR, 1.34; 95% CI, 1.13 to 1.59).
Conclusions
Distorted BWP should be considered an important factor in the prevention of suicide and for the improvement of mental health among Korean adults, especially Korean women with distorted BWPs.
Summary

Citations

Citations to this article as recorded by  
  • Sex Differences in Suicide Attempts: A Cross‐Sectional Study in Patients with First‐Episode and Drug‐Naïve Major Depression Disorder
    Yingzhao Zhu, Jun Zhang, Junjun Liu, Fengnan Jia, Zhe Li, Xueli Zhao, Chuanwei Li, Hanxu Deng, Yue Zhou, Xingzhi Xia, Ruchang Yang, Xiangdong Du, Xiangyang Zhang, Sizhi Ai
    Depression and Anxiety.2024;[Epub]     CrossRef
  • Association between lifestyle-related risk behaviors, chronic diseases, and body image distortion: gender differences in follow-up 1 of the ELSA-Brasil cohort
    Ana Luísa Patrão, Sheila Maria Alvim Matos, Emanuelle Goes, Conceição Nogueira, Rosane Harter Griep, Maria de Jesus Mendes da Fonseca, Liliana Rodrigues, Estela M. L. Aquino, Maria da Conceição Chagas de Almeida
    Health Psychology and Behavioral Medicine.2024;[Epub]     CrossRef
  • Association between Weight Status and Mental Health among Korean Adolescents: A Nationwide Cross-Sectional Study
    Youngha Choi, Jeana Hong
    Children.2023; 10(4): 620.     CrossRef
  • Association between body shape misperception and unhealthy eating behaviors among Korean adolescents
    Yejin Kim, Bomgyeol Kim, Vasuki Rajaguru, Sang Gyu Lee, Tae Hyun Kim
    Nutrition Research and Practice.2023; 17(6): 1143.     CrossRef
  • Effects of metabolic syndrome and obesity on suicidality in individuals with bipolar disorder
    Christoph Stenzel, Nina Dalkner, Human-Friedrich Unterrainer, Armin Birner, Susanne A. Bengesser, Frederike T. Fellendorf, Andreas Fink, Eva Fleischmann, Melanie Lenger, Alexander Maget, Martina Platzer, Robert Queissner, Elena Schönthaler, Adelina Tmava-
    Journal of Affective Disorders.2022; 311: 1.     CrossRef
  • Body image distortion among Brazilian and Portuguese women with children: A comparative study between the ELSA-Brasil and Generation XXI cohorts
    Ana Luísa Patrão, Maria da Conceição Almeida, Ana Henriques, Sheila M. Alvim Matos, Henrique Barros, Rosane Harter Griep, Estela M.L. Aquino
    Preventive Medicine.2022; 164: 107316.     CrossRef
  • Prevalence and factors associated with suicidal ideation amongst college students in the Nelson Mandela Bay Municipality, South Africa
    Adeyinka A. Alabi, Olawumi K. Oladimeji, Oladele V. Adeniyi
    South African Family Practice.2021;[Epub]     CrossRef
  • Association between Subjective Body Image, Body Mass Index and Psychological Symptoms in Chinese Adolescents: A Nationwide Cross-Sectional Study
    Yueyun Zhang, Baozhong Liu, Long Sun
    Healthcare.2021; 9(10): 1299.     CrossRef
  • Factors associated with psychological stress and distress among Korean adults: the results from Korea National Health and Nutrition Examination Survey
    Yejin Cheon, Jinju Park, Bo Yoon Jeong, Eun Young Park, Jin-Kyoung Oh, E Hwa Yun, Min Kyung Lim
    Scientific Reports.2020;[Epub]     CrossRef
  • Misclassification of Self-Reported Body Mass Index Categories
    Romy Freigang, Anne-Kathrin Geier, Gordian Lukas Schmid, Thomas Frese, Andreas Klement, Susanne Unverzagt
    Deutsches Ärzteblatt international.2020;[Epub]     CrossRef
  • Self-perceptions of body weight status according to age-groups among Korean women: A nationwide population-based survey
    Boyoung Park, Ha Na Cho, Eunji Choi, Da Hea Seo, Sue Kim, Yeong-Ran Park, Kui Son Choi, Yumie Rhee, Yongjoo Kim
    PLOS ONE.2019; 14(1): e0210486.     CrossRef
  • Does perceived overweight increase risk of depressive symptoms and suicidality beyond objective weight status? A systematic review and meta-analysis
    Ashleigh Haynes, Inge Kersbergen, Angelina Sutin, Michael Daly, Eric Robinson
    Clinical Psychology Review.2019; 73: 101753.     CrossRef
  • Secular trends in the prevalence of weight misperception among Korean adults, 2001–2013
    Seonho Kim, Wi-Young So
    Obesity Research & Clinical Practice.2018; 12(4): 346.     CrossRef
  • Association between body mass index and suicidal ideation among seniors in Shandong, China
    Long Sun, Chengchao Zhou
    Comprehensive Psychiatry.2018; 82: 68.     CrossRef
  • Body weight misperception and psychological distress among young South Korean adults: the role of physical activity
    Eun-Young Lee, Maxine Myre, Jongnam Hwang, Heeran Chun, Eunchul Seo, Roman Pabayo, John C. Spence
    Global Health Research and Policy.2017;[Epub]     CrossRef
  • The Association between Inappropriate Weight Control Behaviors and Suicide Ideation and Attempt among Korean Adolescents
    Sang Ah Lee, Suk-Yong Jang, JaeYong Shin, Yeong Jun Ju, Jin Young Nam, Eun-Cheol Park
    Journal of Korean Medical Science.2016; 31(10): 1529.     CrossRef
Analysis of the Change of Health Status Among the Republic of Korea Air Force Soldiers During Military Service
Seok-Ju Yoo, Won-Ju Park, Kwan Lee, Hyun-Sul Lim, Hyun-Jin Kim, Suk-Ho Lee
J Prev Med Public Health. 2014;47(4):230-235.   Published online July 31, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.4.230
  • 8,852 View
  • 76 Download
  • 2 Crossref
AbstractAbstract PDF
Objectives
The aim of this study was to investigate whether the health status of Republic of Korea Air Force (ROKAF) soldiers changed after one year of military service. Methods: We selected 483 ROKAF soldiers from the 11 749 recruits who participated in the 2011 physical examination. The selected soldiers underwent another physical examination in 2012 for advancement to senior airman. Data from 2011 and 2012 were merged. To collect data on lifestyle, a questionnaire was sent to all included subjects via the military intranet e-mail service. Results: The percentage of recruits with an abnormal alanine transaminase level (normal range <40 IU/L) decreased from recruitment (13.7%) to the following year (2.7%). Moreover, the percentage of obese soldiers (body mass index ≥25 kg/m2) decreased from recruitment (20.5%) to the following year (10.4%). There was a significant change in mean duration of exercise carried out each day before (0.8±1.3 hours) and after (1.0±0.7 hours) joining the ROKAF service. Conclusions: These ROKAF soldiers were generally in good health before and after joining the armed service. After one year of military service, the health status of most soldiers improved, especially with respect to body mass index and alanine transaminase level.
Summary

Citations

Citations to this article as recorded by  
  • Behavioral impact of national health campaigns on healthy lifestyle practices among young adults in Singapore: a cross-sectional study
    Yong Zhi Khow, Talia Li Yin Lim, Jarret Shoon Phing Ng, Jiaxuan Wu, Chuen Seng Tan, Kee Seng Chia, Nan Luo, Wei Jie Seow
    BMC Public Health.2021;[Epub]     CrossRef
  • Strategic Priorities to Improve Effectiveness of Anti-smoking Interventions for the Korean Military: An Application of the Analytic Hierarchy Process
    Yun-Kyoung Song, Jae Hyun Kim, Boyoon Choi, Nayoung Han, Myeong Gyu Kim, Jeongsam Lee, Handuk Lee, Jieun Yoon, Beom-Jin Lee, Jung Mi Oh
    Military Medicine.2018; 183(7-8): e223.     CrossRef
Association Between Socioeconomic Status and Obesity in Adults: Evidence From the 2001 to 2009 Korea National Health and Nutrition Examination Survey
Jihye Kim, Shreela V. Sharma, Sung Kyun Park
J Prev Med Public Health. 2014;47(2):94-103.   Published online March 31, 2014
DOI: https://doi.org/10.3961/jpmph.2014.47.2.94
  • 12,713 View
  • 102 Download
  • 22 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

Citations to this article as recorded by  
  • Trends in obesity, leisure-time physical activity, and sedentary behavior in Korean adults: Korea national health and nutritional examinations survey from 2014 to 2021
    Yunmin Han, Hoyong Sung, Younghwan Choi, Yeon Soo Kim, Hee-Taik Kang
    PLOS ONE.2024; 19(1): e0296042.     CrossRef
  • Who did it better? Gender differences in effects of a dietary self-management intervention for older community-dwelling adults
    Jung-Hua Shao, Su-Hui Chen
    Journal of Women & Aging.2021; 33(5): 473.     CrossRef
  • Two-year follow-up cohort study focused on gender-specific associations between socioeconomic status and body weight changes in overweight and obese middle-aged and older adults
    Malgorzata Biskup, Pawel Macek, Stanislaw Gozdz, Malgorzata Terek-Derszniak, Halina Krol, Piotr Kedzierawski, Marek Zak
    BMJ Open.2021; 11(7): e050127.     CrossRef
  • Cancer Incidence by Occupation in Korea: Longitudinal Analysis of a Nationwide Cohort
    Hye-Eun Lee, Masayoshi Zaitsu, Eun-A Kim, Ichiro Kawachi
    Safety and Health at Work.2020; 11(1): 41.     CrossRef
  • Socioeconomic inequalities and severe obesity—Sex differences in a nationwide study of 1.12 million Israeli adolescents
    Orit Pinhas‐Hamiel, Brian Reichman, Arnon Afek, Estela Derazne, Dorit Tzur, Uri Hamiel, Tarif Bader, Khitam Muhsen, Gilad Twig
    Pediatric Obesity.2020;[Epub]     CrossRef
  • Factors contributing to educational differences in obesity among women: evidence from South Korea
    Woojin Chung, Seungji Lim
    BMC Public Health.2020;[Epub]     CrossRef
  • A Reversal of the Association between Education Level and Obesity Risk during Ageing: A Gender-Specific Longitudinal Study in South Korea
    Woojin Chung, Roeul Kim
    International Journal of Environmental Research and Public Health.2020; 17(18): 6755.     CrossRef
  • Ethnicity, Neighborhood and Individual Socioeconomic Status, and Obesity: The Singapore Multiethnic Cohort
    Su Hyun Park, Mary Nicolaou, Borame Sue Lee Dickens, Qianyu Yang, Ken Wei Tan, Rob M. van Dam
    Obesity.2020; 28(12): 2405.     CrossRef
  • Energy imbalance: obesity, associated comorbidities, prevention, management and public health implications
    Shazia Jehan, Ferdinand Zizi, Seithikurippu R Pandi-Perumal, Samy I McFarlane, Girardin Jean-Louis, Alyson K Myers
    Advances in Obesity, Weight Management & Control.2020; 10(5): 146.     CrossRef
  • Measuring Socioeconomic Inequalities in Obesity among Korean Adults, 1998–2015
    Jongnam Hwang, Eun-Young Lee, Chung Gun Lee
    International Journal of Environmental Research and Public Health.2019; 16(9): 1617.     CrossRef
  • Do trends in the prevalence of overweight by socio-economic position differ between India’s most and least economically developed states?
    Shammi Luhar, Poppy Alice Carson Mallinson, Lynda Clarke, Sanjay Kinra
    BMC Public Health.2019;[Epub]     CrossRef
  • The Influence of Body Mass Index at Diagnosis on Cognitive Decline in Parkinson's Disease
    Han Soo Yoo, Seok Jong Chung, Phil Hyu Lee, Young H. Sohn, Suk Yun Kang
    Journal of Clinical Neurology.2019; 15(4): 517.     CrossRef
  • Social and Psychological Predictors of Body Mass Index among South Africans 15 Years and Older: SANHANES-1
    Zandile June-Rose Mchiza, Whadi-Ah Parker, Muhammad Zakir Hossin, Amy Heshmati, Demetre Labadarios, Daniel Falkstedt, Ilona Koupil
    International Journal of Environmental Research and Public Health.2019; 16(20): 3919.     CrossRef
  • Socioeconomic and behavioural determinants of overweight/obesity among adults in Botswana: a cross-sectional study
    Mpho Keetile, Kannan Navaneetham, Gobopamang Letamo, Kenabetsho Bainame, Serai Daniel Rakgoasi, Lesego Gabaitiri, Tiny Masupe, Robert Molebatsi
    BMJ Open.2019; 9(12): e029570.     CrossRef
  • Sex-specific role of education on the associations of socioeconomic status indicators with obesity risk: A population-based study in South Korea
    Woojin Chung, Jaeyeun Kim, Seung-ji Lim, Sunmi Lee, Meian He
    PLOS ONE.2018; 13(1): e0190499.     CrossRef
  • Impact of Socioeconomic Status on Health Behaviors, Metabolic Control, and Chronic Complications in Type 2 Diabetes Mellitus
    So Hun Kim, Seung Youn Lee, Chei Won Kim, Young Ju Suh, Seongbin Hong, Seong Hee Ahn, Da Hae Seo, Moon-Suk Nam, Suk Chon, Jeong-Taek Woo, Sei Hyun Baik, Yongsoo Park, Kwan Woo Lee, Young Seol Kim
    Diabetes & Metabolism Journal.2018; 42(5): 380.     CrossRef
  • Educational Disparities in Risk for Metabolic Syndrome
    Insub Kim, Yun-Mi Song, Hyeonyoung Ko, Joohon Sung, Kayoung Lee, Jinyoung Shin, Sujeong Shin
    Metabolic Syndrome and Related Disorders.2018; 16(8): 416.     CrossRef
  • Geographic Association Between Income Inequality and Obesity Among Adults in New York State
    Daniel Kim, Fusheng Wang, Chrisa Arcan
    Preventing Chronic Disease.2018;[Epub]     CrossRef
  • The association between socioeconomic status and reactions to radiation exposure: a cross-sectional study after the Fukushima Daiichi nuclear power station accident
    Taro Kusama, Jun Aida, Toru Tsuboya, Kemmyo Sugiyama, Takafumi Yamamoto, Ayaka Igarashi, Ken Osaka, Antonio Palazón-Bru
    PLOS ONE.2018; 13(10): e0205531.     CrossRef
  • Educational Inequality in Obesity-Related Mortality in Korea
    Mi-Hyun Kim, Kyunghee Jung-Choi, Hyeonyoung Ko, Yun-Mi Song
    Journal of Korean Medical Science.2017; 32(3): 386.     CrossRef
  • Outdoor artificial light at night, obesity, and sleep health: Cross-sectional analysis in the KoGES study
    Yong Seo Koo, Jin-Young Song, Eun-Yeon Joo, Heon-Jeong Lee, Eunil Lee, Sang-kun Lee, Ki-Young Jung
    Chronobiology International.2016; 33(3): 301.     CrossRef
  • Socioeconomic Disparities in Osteoporosis Prevalence: Different Results in the Overall Korean Adult Population and Single-person Households
    Jungmee Kim, Joongyub Lee, Ju-Young Shin, Byung-Joo Park
    Journal of Preventive Medicine and Public Health.2015; 48(2): 84.     CrossRef
Social Network Characteristics and Body Mass Index in an Elderly Korean Population
Won Joon Lee, Yoosik Youm, Yumie Rhee, Yeong-Ran Park, Sang Hui Chu, Hyeon Chang Kim
J Prev Med Public Health. 2013;46(6):336-345.   Published online November 28, 2013
DOI: https://doi.org/10.3961/jpmph.2013.46.6.336
  • 10,911 View
  • 105 Download
  • 17 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

Citations to this article as recorded by  
  • A Prospective Sociocentric Study of 2 Entire Traditional Korean Villages: The Korean Social Life, Health, and Aging Project (KSHAP)
    Jiwon Baek, Ekaterina Baldina, Kiho Sung, Sung-Ha Lee, Nicholas A Christakis, Peter Bearman, Hyeon Chang Kim, Sang Hui Chu, Eun Lee, Yeong-Ran Park, Jeanyung Chey, Youn-Hee Choi, Dohoon Lee, Yoosik Youm
    American Journal of Epidemiology.2023;[Epub]     CrossRef
  • The Early-Life Origins of Later-Life Networks
    Alyssa W Goldman
    Social Problems.2022; 69(2): 562.     CrossRef
  • 20-55 Yaş Arası Kadınların Beden Algılarının Değerlendirilmesi
    Can ERGÜN, Bilge MERAL KOC, Selin KALEOĞLU
    İstanbul Gelişim Üniversitesi Sağlık Bilimleri Dergisi.2022; (18): 892.     CrossRef
  • Social connections and hypertension in women and men: a population-based cross-sectional study of the Canadian Longitudinal Study on Aging
    Zeinab Hosseini, Gerry Veenstra, Nadia A. Khan, Annalijn I. Conklin
    Journal of Hypertension.2021; 39(4): 651.     CrossRef
  • Adiposity and the role of diverse social supports: an observational, gender-sensitive study using the baseline Canadian Longitudinal Study on Aging
    Zeinab Hosseini, Abdollah Safari, Nadia A Khan, Gerry Veenstra, Annalijn I Conklin
    Public Health Nutrition.2021; 24(18): 6103.     CrossRef
  • Associations between social connections, their interactions, and obesity differ by gender: A population-based, cross-sectional analysis of the Canadian Longitudinal Study on Aging
    Zeinab Hosseini, Gerry Veenstra, Nadia A. Khan, Annalijn I. Conklin, Liang Wang
    PLOS ONE.2020; 15(7): e0235977.     CrossRef
  • Personal network characteristics and body mass index: the role of education among Black Americans
    Stephanie T Child, Katrina M Walsemann, Andrew T Kaczynski, Nancy L Fleischer, Alexander C McLain, Spencer Moore
    Journal of Public Health.2019; 41(1): 130.     CrossRef
  • Social support, social network and salt-reduction behaviours in children: a substudy of the School-EduSalt trial
    Yuan Ma, Xiangxian Feng, Jun Ma, Feng J He, Haijun Wang, Jing Zhang, Wuxiang Xie, Tao Wu, Yunjian Yin, Jianhui Yuan, Graham A MacGregor, Yangfeng Wu
    BMJ Open.2019; 9(6): e028126.     CrossRef
  • Is the Relationship between Depression and C Reactive Protein Level Moderated by Social Support in Elderly?-Korean Social Life, Health, and Aging Project (KSHAP)
    Nam Wook Hur, Hyeon Chang Kim, Linda Waite, Yoosik Youm
    Psychiatry Investigation.2018; 15(1): 24.     CrossRef
  • Applications of social network analysis to obesity: a systematic review
    S. Zhang, K. de la Haye, M. Ji, R. An
    Obesity Reviews.2018; 19(7): 976.     CrossRef
  • Social Network Analysis and Resilience in University Students: An Approach from Cohesiveness
    Cristina Liébana-Presa, Elena Andina-Díaz, María-Mercedes Reguera-García, Iván Fulgueiras-Carril, David Bermejo-Martínez, Elena Fernández-Martínez
    International Journal of Environmental Research and Public Health.2018; 15(10): 2119.     CrossRef
  • The association between obesity and social exclusion in middle-aged and older adults: findings from a nationally representative study in Germany
    André Hajek, Hans-Helmut König
    BMC Geriatrics.2018;[Epub]     CrossRef
  • Factors Associated with Insomnia among the Elderly in a Korean Rural Community
    Woo Jung Kim, Won-tak Joo, Jiwon Baek, Sung Yun Sohn, Kee Namkoong, Yoosik Youm, Hyeon Chang Kim, Yeong-Ran Park, Sang Hui Chu, Eun Lee
    Psychiatry Investigation.2017; 14(4): 400.     CrossRef
  • The Connection Prescription: Using the Power of Social Interactions and the Deep Desire for Connectedness to Empower Health and Wellness
    Jessica Martino, Jennifer Pegg, Elizabeth Pegg Frates
    American Journal of Lifestyle Medicine.2017; 11(6): 466.     CrossRef
  • Obesity in older persons
    J. Woo
    Current Opinion in Clinical Nutrition and Metabolic Care.2015; 18(1): 5.     CrossRef
  • O Programa Nacional de Controle do Tabagismo (PNCT) na perspectiva social: a análise de redes, capital e apoio social
    Paulo Cesar Moreira Campos, Marcia Gomide
    Cadernos Saúde Coletiva.2015; 23(4): 436.     CrossRef
  • The Korean social life, health and aging project-health examination cohort
    Ju-Mi Lee, Won Joon Lee, Hyeon Chang Kim, Wungrak Choi, Jina Lee, Kiho Sung, Sang Hui Chu, Yeong-Ran Park, Yoosik Youm
    Epidemiology and Health.2014; 36: e2014003.     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
  • 10,530 View
  • 94 Download
  • 13 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

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
Smoking Is Associated With Abdominal Obesity, Not Overall Obesity, in Men With Type 2 Diabetes
Ji Eun Yun, Heejin Kimm, Young Ju Choi, Sun Ha Jee, Kap Bum Huh
J Prev Med Public Health. 2012;45(5):316-322.   Published online September 28, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.5.316
  • 9,732 View
  • 98 Download
  • 17 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

Citations to this article as recorded by  
  • Nutritional status of people who inject drugs in Coastal Kenya: a cross-sectional study
    Valentine Budambula, Moses Ngari, Nancy L.M. Budambula, Aabid A. Ahmed, Tom Were
    BMC Nutrition.2024;[Epub]     CrossRef
  • Smoking and cardiovascular disease in patients with type 2 diabetes: a prospective observational study
    Peder af Geijerstam, Fredrik Janryd, Fredrik H. Nyström
    Journal of Cardiovascular Medicine.2023;[Epub]     CrossRef
  • Prevalence and Predictors of Combined Body Mass Index and Waist Circumference Among Indian Adults
    Neha Shri, Saurabh Singh, Akancha Singh
    International Journal of Public Health.2023;[Epub]     CrossRef
  • Prevalence and related factors of abdominal obesity among urban adults aged 35 to 79 years in southwest China
    Chuan Huang, Ying Zhang, Ya Liu, Jian-Xiong Liu, Yong-Mei Hu, Wei-Wei Tang, Tzung-Dau Wang, Xiao-bo Huang
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Exploring the Impact of the Obesity Paradox on Lung Cancer and Other Malignancies
    Lindsay Joyce Nitsche, Sarbajit Mukherjee, Kareena Cheruvu, Cathleen Krabak, Rohit Rachala, Kalyan Ratnakaram, Priyanka Sharma, Maddy Singh, Sai Yendamuri
    Cancers.2022; 14(6): 1440.     CrossRef
  • Long-Term Adverse Effects of Cigarette Smoking on the Incidence Risk of Metabolic Syndrome With a Dose-Response Relationship: Longitudinal Findings of the Korean Genome and Epidemiology Study Over 12 Years
    Ae Hee Kim, In-Ho Seo, Hye Sun Lee, Yong-Jae Lee
    Endocrine Practice.2022; 28(6): 603.     CrossRef
  • Sex-Dependent Effects of Inhaled Nicotine on the Gut Microbiome
    Anna K Whitehead, Margaret C Meyers, Christopher M Taylor, Meng Luo, Scot E Dowd, Xinping Yue, Lauri O Byerley
    Nicotine & Tobacco Research.2022; 24(9): 1363.     CrossRef
  • Determinants of Metabolic Health Across Body Mass Index Categories in Central Europe: A Comparison Between Swiss and Czech Populations
    Sarka Kunzova, Andrea Maugeri, Jose Medina-Inojosa, Francisco Lopez-Jimenez, Manlio Vinciguerra, Pedro Marques-Vidal
    Frontiers in Public Health.2020;[Epub]     CrossRef
  • From Pre-Diabetes to Diabetes: Diagnosis, Treatments and Translational Research
    Radia Khan, Zoey Chua, Jia Tan, Yingying Yang, Zehuan Liao, Yan Zhao
    Medicina.2019; 55(9): 546.     CrossRef
  • Cigarette Smoking Is Negatively Associated with the Prevalence of Type 2 Diabetes in Middle-Aged Men with Normal Weight but Positively Associated with Stroke in Men
    Su Wang, Jie Chen, Yuzhong Wang, Yu Yang, Danyu Zhang, Chao Liu, Kun Wang
    Journal of Diabetes Research.2019; 2019: 1.     CrossRef
  • Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors
    Inkyung Baik
    Nutrition Research and Practice.2018; 12(3): 251.     CrossRef
  • Obesity in Older Type 2 Diabetic Patients: Does Working Environment Add Vulnerability?
    Maria Piedade Brandão, Margarida Fonseca Cardoso
    International Journal of Environmental Research and Public Health.2018; 15(12): 2677.     CrossRef
  • Smoking and the risk of type 2 diabetes
    Judith Maddatu, Emily Anderson-Baucum, Carmella Evans-Molina
    Translational Research.2017; 184: 101.     CrossRef
  • Risk for metabolic diseases in normal weight individuals with visceral fat accumulation: a cross-sectional study in Japan
    Yukako Tatsumi, Yoko M Nakao, Izuru Masuda, Aya Higashiyama, Misa Takegami, Kunihiro Nishimura, Makoto Watanabe, Takayoshi Ohkubo, Tomonori Okamura, Yoshihiro Miyamoto
    BMJ Open.2017; 7(1): e013831.     CrossRef
  • Metabolic effects of smoking cessation
    Kindred K. Harris, Mohan Zopey, Theodore C. Friedman
    Nature Reviews Endocrinology.2016; 12(5): 299.     CrossRef
  • Smoking status and abdominal obesity among normal- and overweight/obese adults: Population-based FINRISK study
    Eeva-Liisa Tuovinen, Suoma E. Saarni, Satu Männistö, Katja Borodulin, Kristiina Patja, Taru H. Kinnunen, Jaakko Kaprio, Tellervo Korhonen
    Preventive Medicine Reports.2016; 4: 324.     CrossRef
  • Joint Association of Nicotinic Acetylcholine Receptor Variants with Abdominal Obesity in American Indians: The Strong Heart Family Study
    Yun Zhu, Jingyun Yang, Fawn Yeh, Shelley A. Cole, Karin Haack, Elisa T. Lee, Barbara V. Howard, Jinying Zhao, Mohammed Akaaboune
    PLoS ONE.2014; 9(7): e102220.     CrossRef
Relationship Between Body Mass Index and Early Menarche of Adolescent Girls in Seoul
Chang-Mo Oh, In-Hwan Oh, Kyung-Sik Choi, Bong-Keun Choe, Tai-Young Yoon, Joong-Myung Choi
J Prev Med Public Health. 2012;45(4):227-234.   Published online July 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.4.227
  • 12,045 View
  • 145 Download
  • 26 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

Citations to this article as recorded by  
  • Association of early menarche with elevated BMI, lower body height and relative leg length among 14- to 16-year-old post-menarcheal girls from a Maya community in Yucatan, Mexico
    Sudip Datta Banik
    Anthropological Review.2022; 85(1): 85.     CrossRef
  • Prepubertal BMI, pubertal growth patterns, and long-term BMI: Results from a longitudinal analysis in Chinese children and adolescents from 2005 to 2016
    Yanhui Li, Di Gao, Jieyu Liu, Zhaogeng Yang, Bo Wen, Li Chen, Manman Chen, Ying Ma, Tao Ma, Bin Dong, Yi Song, Sizhe Huang, Yanhui Dong, Jun Ma
    European Journal of Clinical Nutrition.2022; 76(10): 1432.     CrossRef
  • Age at Menarche, Growth Velocity, and Adiposity Indices in Italian Girls Aged 10 to 14
    Emanuela Gualdi-Russo, Natascia Rinaldo, Gianni Mazzoni, Simona Mandini, Sabrina Masotti, Stefania Toselli, Luciana Zaccagni
    Children.2022; 9(12): 1928.     CrossRef
  • Indicators of nutritional status and physical activity level as factors associated with the onset of menarche of ten year old girls from Zadar county, Croatia
    Donata Vidaković Samaržija, Marjeta Mišigoj-Duraković, Lara Pavelić Karamatić
    International Journal of Adolescent Medicine and Health.2021; 33(3): 219.     CrossRef
  • Marginal Food Security Predicts Earlier Age at Menarche Among Girls From the 2009-2014 National Health and Nutrition Examination Surveys
    Mecca E. Burris, Andrea S. Wiley
    Journal of Pediatric and Adolescent Gynecology.2021; 34(4): 462.     CrossRef
  • Factors associated with the prevalence of HIV, HSV-2, pregnancy, and reported sexual activity among adolescent girls in rural western Kenya: A cross-sectional analysis of baseline data in a cluster randomized controlled trial
    Garazi Zulaika, Elizabeth Nyothach, Anna Maria van Eijk, David Obor, Linda Mason, Duolao Wang, Tao Chen, Emily Kerubo, Valarie Opollo, Isaac Ngere, Samuel Omondi Owino, Boaz Oyaro, Feiko O. ter Kuile, Daniel Kwaro, Penelope Phillips-Howard, Kathryn Mary Y
    PLOS Medicine.2021; 18(9): e1003756.     CrossRef
  • The relationship between short stature and menstrual pattern in a large cohort of Iranian girls
    Seyed Kazem Farahmand, Maryam Emadzadeh, Golnaz Ghayyem Hassankhani, Mahsa Mirbirjandian, Taraneh Rafiezadeh, Zahra Abasalti, Sayyed Saeid Khayyatzadeh, Afsane Bahrami, Seyed-Amir Tabatabaeizadeh, Maryam Tayefi, Gordon A. Ferns, Kayhan Gonoodi, Alireza Mo
    Journal of Obstetrics and Gynaecology.2020; 40(2): 228.     CrossRef
  • Age at menarche, menstrual characteristics, and its associated morbidities among secondary school students in Abakaliki, southeast Nigeria
    Chidebe C. Anikwe, Johnbosco E. Mamah, Bartholomew C. Okorochukwu, Ugochukwu U. Nnadozie, Chukwuemeka H. Obarezi, Kenneth C. Ekwedigwe
    Heliyon.2020; 6(5): e04018.     CrossRef
  • Knowledge of peri-menarcheal changes and a comparative analysis of the age at menarche among young adolescent school girls in urban and rural Cameroon
    Atem Bethel Ajong, Nkengazem Nerry Tankala, Martin Ndinakie Yakum, Ikei Solange Azenoi, Bruno Kenfack
    BMC Public Health.2020;[Epub]     CrossRef
  • Prevalence of breast cancer-related risk factors in underweight premenopausal women: the Korea National Health and Nutrition Examination Survey IV–VI
    Joo Heung Kim, Kwang Hyun Yoon, Ho Hur, Seho Park, Jee Ye Kim, Hyung Seok Park, Seung II Kim, Young Up Cho, Byeong-Woo Park
    Breast Cancer Research and Treatment.2019; 174(2): 515.     CrossRef
  • Time Trends in Age at Menarche and Related Non-Communicable Disease Risk during the 20th Century in Mexico
    Inga Petersohn, Arli G. Zarate-Ortiz, Ana C. Cepeda-Lopez, Alida Melse-Boonstra
    Nutrients.2019; 11(2): 394.     CrossRef
  • Age at Menarche and Its Related Factors Among Students of Qaen, Eastern Iran: A School-Based Cross-Sectional Study
    Asma Tiyuri, Malaknaz Ghannadkafi, Amir Tiyuri, Najmeh Bahramian
    Journal of Comprehensive Pediatrics.2019;[Epub]     CrossRef
  • Lifestyle and prevalence of dysmenorrhea among Spanish female university students
    Elia Fernández-Martínez, María Dolores Onieva-Zafra, María Laura Parra-Fernández, Antonio Palazón-Bru
    PLOS ONE.2018; 13(8): e0201894.     CrossRef
  • Detrimental Effects of Higher Body Mass Index and Smoking Habits on Menstrual Cycles in Korean Women
    An Na Jung, Ju Hwan Park, Jihyun Kim, Seok Hyun Kim, Byung Chul Jee, Byung Heun Cha, Jae Woong Sull, Jin Hyun Jun
    Journal of Women's Health.2017; 26(1): 83.     CrossRef
  • Earlier age at menarche in girls with rapid early life growth: cohort and within sibling analyses
    Julie D. Flom, Barbara A. Cohn, Parisa Tehranifar, Lauren C. Houghton, Ying Wei, Angeline Protacio, Piera Cirillo, Karin B. Michels, Mary Beth Terry
    Annals of Epidemiology.2017; 27(3): 187.     CrossRef
  • Association between Obesity and Puberty Timing: A Systematic Review and Meta-Analysis
    Wenyan Li, Qin Liu, Xu Deng, Yiwen Chen, Shudan Liu, Mary Story
    International Journal of Environmental Research and Public Health.2017; 14(10): 1266.     CrossRef
  • Pattern of teen menstruation among secondary school girls in south east Nigeria
    Ada R.C. Nwokocha, Josephat M. Chinawa, Agozie C. Ubesie, Vivian I. Onukwuli, Pius C. Manyike
    Journal of Pediatric Endocrinology and Metabolism.2016;[Epub]     CrossRef
  • Age related changes in pelvis size among adolescent and adult females with reference to parturition from Naraingarh, Haryana (India)
    Krishan Sharma, Puneet Gupta, Shailza Shandilya
    HOMO.2016; 67(4): 273.     CrossRef
  • Early menarche in normal-weight girls and its association with excess weight, abdominal obesity and metabolic changes at the end of sexual maturation
    M L D Araújo, P C Cabral, I K G de Arruda, A Silva Diniz, M da Conceição Chaves de Lemos, G Q Morais
    European Journal of Clinical Nutrition.2016; 70(11): 1278.     CrossRef
  • Secular Trends and Influencing Factors for the Early Menarche among Korean Middle and High School Girls
    Dallong Han, Jongeun Lee, Seonho Kim
    The Journal of the Korea Contents Association.2016; 16(3): 319.     CrossRef
  • Earlier menarcheal age in Spanish girls is related with an increase in body mass index between pre‐pubertal school age and adolescence
    T. Gavela‐Pérez, C. Garcés, P. Navarro‐Sánchez, L. López Villanueva, L. Soriano‐Guillén
    Pediatric Obesity.2015; 10(6): 410.     CrossRef
  • Determinants of age at menarche in Korean elementary school girls
    Mi-Kyoung Kwon, Eun Min Seo, Kyong Park
    Journal of Nutrition and Health.2015; 48(4): 344.     CrossRef
  • Height Growth and Percentage of Body Fat in Relation to Early Menarche in Girls from Merida, Yucatan, Mexico
    Sudip Datta Banik, Nina Mendez, Federico Dickinson
    Ecology of Food and Nutrition.2015; 54(6): 644.     CrossRef
  • A Significant Increase in the Incidence of Central Precocious Puberty among Korean Girls from 2004 to 2010
    Shin Hye Kim, Kyoung Huh, Sungho Won, Kuk-Wha Lee, Mi-Jung Park, Antonio Gonzalez-Bulnes
    PLOS ONE.2015; 10(11): e0141844.     CrossRef
  • Relationship of age at menarche on anthropometric index and menstrual irregularity in late adolescent girls in Seoul
    Seung Eun Lee, Joo Yun Yang, Ji Hyun Lee, Han Wool Kim, Hae Soon Kim, Hye Jin Lee, Ji Young Oh, Yeon Ah Sung
    Annals of Pediatric Endocrinology & Metabolism.2013; 18(3): 116.     CrossRef
  • Overview of Noncommunicable Diseases in Korean Children and Adolescents: Focus on Obesity and Its Effect on Metabolic Syndrome
    Hye Ah Lee, Hyesook Park
    Journal of Preventive Medicine and Public Health.2013; 46(4): 173.     CrossRef
Differences in Obesity Rates Between People With and Without Disabilities and the Association of Disability and Obesity: A Nationwide Population Study in South Korea
Moo-Kyung Oh, Hyeongap Jang, Yong-Ik Kim, Belong Jo, Yoon Kim, Jong-Heon Park, Jin-Seok Lee
J Prev Med Public Health. 2012;45(4):211-218.   Published online July 31, 2012
DOI: https://doi.org/10.3961/jpmph.2012.45.4.211
  • 9,465 View
  • 71 Download
  • 14 Crossref
AbstractAbstract PDF
Objectives

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

Methods

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

Results

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

Conclusions

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

Summary

Citations

Citations to this article as recorded by  
  • Weight history of individuals with and without physical disability in the International Weight Control Registry
    Julianne G. Clina, R. Drew Sayer, Anna M. Gorczyca, Sai Krupa Das, James E. Friedman, Tsz Kiu Chui, Susan B. Roberts, James O. Hill
    Obesity Science & Practice.2024;[Epub]     CrossRef
  • Health-related Physical Fitness, Blood Pressure, and Body Mass Index among People with Intellectual Disability, Visual Impairment, and Hearing Impairment
    Young Hoon Kim, Su Hyun Kim, Taegyu Kim, Rui Ma
    Exercise Science.2024; 33(1): 93.     CrossRef
  • Pilot evaluation of a behavioral weight loss program for adults with physical disabilities: State of Slim Everybody usability and feasibility
    Julianne G. Clina, Holly R. Wyatt, James O. Hill, Christine C. Ferguson, Hui‐Ju Young, James H. Rimmer
    Obesity Science & Practice.2024;[Epub]     CrossRef
  • Adapting an evidence-based physical activity questionnaire for people with physical disabilities: A methodological process
    Julianne G. Clina, Cassandra Herman, Christine C. Ferguson, James H. Rimmer
    Disability and Health Journal.2023; 16(3): 101447.     CrossRef
  • Investigation of the Relationship Between Psychiatry Visit and Suicide After Deliberate Self-harm: Longitudinal National Cohort Study
    Hye Hyeon Kim, Chanyoung Ko, Ji Ae Park, In Han Song, Yu Rang Park
    JMIR Public Health and Surveillance.2023; 9: e41261.     CrossRef
  • A cross‐sectional study on the use of big data for the past H1N1 influenza epidemic in obesity after COVID‐19: Focused on the body slimming cream and leptin via DTC gene test
    Jinkyung Lee, Ki Han Kwon
    Journal of Cosmetic Dermatology.2022; 21(11): 5321.     CrossRef
  • A Study on the Research Trends on Obese People with Disabilities: Focused on Domestic Journal
    Jung-Sik Park, Yun-Kyung Song
    Journal of Korean Medicine for Obesity Research.2019; 19(1): 68.     CrossRef
  • Association of employment status and income with self-rated health among waged workers with disabilities in South Korea: population-based panel study
    Jae Woo Choi, Juyeong Kim, Euna Han, Tae Hyun Kim
    BMJ Open.2019; 9(11): e032174.     CrossRef
  • The complexity of reaching and maintaining a healthy body weight – the experience from adults with a mobility disability
    Marianne Holmgren, Magnus Sandberg, Gerd Ahlström
    BMC Obesity.2018;[Epub]     CrossRef
  • The bidirectional association between body weight and mobility disability: A population-based cohort
    Jeroen S. de Munter, Per Tynelius, Gerd Ahlström, Finn Rasmussen
    Disability and Health Journal.2016; 9(4): 632.     CrossRef
  • Effects of a walking exercise program for obese individuals with intellectual disability staying in a residential care facility
    Sungmin Son, Byoungjin Jeon, Heejung Kim
    Journal of Physical Therapy Science.2016; 28(3): 788.     CrossRef
  • Impacts of mobility disability and high and increasing body mass index on health-related quality of life and participation in society: a population-based cohort study from Sweden
    Marianne Holmgren, Anna Lindgren, Jeroen de Munter, Finn Rasmussen, Gerd Ahlström
    BMC Public Health.2014;[Epub]     CrossRef
  • Comparison of sarcopenic status between elderly leprosy survivors and general population
    Won Kim, Hee Won Park, Byung Kwan Hwang, Soon Ook Bae, In Kwon Kim, Sun G. Chung
    Archives of Gerontology and Geriatrics.2014; 58(1): 134.     CrossRef
  • Recent Developments in Obesity Research: Linkages between Obesity, Disability, and Physical Functioning
    Sandra L. Reynolds
    Current Obesity Reports.2013; 2(3): 267.     CrossRef
JPMPH : Journal of Preventive Medicine and Public Health
© Korean Society for Preventive Medicine.
TOP