Korean J Health Promot KJHP Korean Journal of Health Promotion 2234-2141 2093-5676 Korean Society for Health Promotion and Disease Prevention 10.15384/kjhp.2019.19.1.9 Original Article Relationship between Obesity and Lifestyle Factors in Young Korean Women: the Seventh Korea National Health and Nutrition Examination Survey 2016 Kwak Jeon Won 1 Jeon Chan Hee 1 Kwak Min Ho 2 Kim Jeong Hyeon 1 Park Yong Soon 1 Department of Family Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, Chuncheon, Korea. Department of Educational Psychology, University of Georgia, Athens, GA, USA. Corresponding author: Yong Soon Park, MD, MPH, PhD. Department of Family Medicine, Chuncheon Sacred Heart Hospital, Hallym University College of Medicine, 77 Sakju-ro, Chuncheon 24253, Korea. Tel: +82-33-240-5311, Fax: +82-33-240-5440, pyongs@hanmail.net 03 2019 31 03 2019 19 1 9 15 05 01 2019 29 01 2019 11 02 2019 Copyright © 2019 Korean Society for Health Promotion and Disease Prevention 2019 Korean Society for Health Promotion and Disease Prevention This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Background

The purpose of this study was to examine whether lifestyle-related factors are associated with obesity in a selected sample of young Korean women.

 Methods

This cross-sectional study involved 822 women aged 19–39 years who participated in the Seventh Korea National Health and Nutrition Examination Survey conducted in 2016. Obesity status was defined as general and abdominal obesity. Multiple logistic regression analyses were used to evaluate the association between lifestyle-related factors and obesity status.

 Results

The prevalence of obesity was 20.3% for general obesity and 17.4% for abdominal obesity. There were negative associations between the energy intake/body weight ratio and general and abdominal obesity. High-risk drinking was significantly associated with general obesity (adjusted odds ratio, 1.747; 95% confidence interval, 1.112–2.745), but was not associated with abdominal obesity.

 Conclusions

Among young Korean women aged 19–39 years, high-risk drinking may be a risk factor for general obesity.

 Obesity Health behavior Alcohol drinking Women KNHANES Ng M Fleming T Robinson M Thomson B Graetz N Margono C Global, regional, and national prevalence of overweight and obesity in children and adults during 1980-2013: a systematic analysis for the global burden of disease study 2013 Lancet 2014 384 9945 766 781 Baik I Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors Nutr Res Pract 2018 12 3 251 257 So WY Seo DI Lifestyle factors and obesity among Korean adults Iran J Public Health 2013 42 2 114 119 Koh-banerjee P Chu NF Spiegelman D Rosner B Colditz G Willett W Prospective study of the association of changes in dietary intake, physical activity, alcohol consumption, and smoking with 9-y gain in waist circumference among 16 587 US men Am J Clin Nutr 2003 78 4 719 727 Chang AK Choi JY Factors influencing BMI classifications of Korean adults J Phys Ther Sci 2015 27 5 1565 1570 Park SE Kim HM Kim DH Kim J Cha BS Kim DJ The association between sleep duration and general and abdominal obesity in Koreans: data from the Korean national health and nutrition examination survey, 2001 and 2005 Obesity (Silver Spring) 2009 17 4 767 771 Sutin AR Zonderman AB Depressive symptoms are associated with weight gain among women Psychol Med 2012 42 11 2351 2360 Shin HY Kang HT Recent trends in the prevalence of underweight, overweight, and obesity in Korean adults: The Korean national health and nutrition examination survey from 1998 to 2014 J Epidemiol 2017 27 9 413 419 Faw MH Young adults' strategies for managing social support during weight-loss attempts Qual Health Res 2014 24 2 267 278 Wane S van Uffelen JG Brown W Determinants of weight gain in young women: a review of the literature J Womens Health (Larchmt) 2010 19 7 1327 1340 Whatnall MC Collins CE Callister R Hutchesson MJ Associations between unhealthy diet and lifestyle behaviours and increased cardiovascular disease risk in young overweight and obese women Healthcare (Basel) 2016 4 3 57 Kim W Kim S Women's alcohol use and alcoholism in Korea Subst Use Misuse 2008 43 8-9 1078 1087 Choe SA Yoo S Jekarl J Kim KK Recent trend and associated factors of harmful alcohol use based on age and gender in Korea J Korean Med Sci 2018 33 4 e23 Singh GK Kogan MD Van Dyck PC Siahpush M Racial/ethnic, socioeconomic, and behavioral determinants of childhood and adolescent obesity in the United States: analyzing independent and joint associations Ann Epidemiol 2008 18 9 682 695 Chung WC Cho YG Kang JH Park HA Kim KW Kang JH Lifestyle habits related to abdominal obesity in Korean adolescents Korean J Fam Med 2010 31 7 547 554 World Health Organization Global Physical Activity Questionnaire (GPAQ) Analysis Guide [Internet] Geneva World Health Organization 2012 Accessed Jan 4, 2019 Available from: https://www.who.int/ncds/surveillance/steps/resources/GPAQ_Analysis_Guide.pdf World Health Organization Global recommendations on physical activity for health Geneva World Health Organization 2010 Ryu M Kimm H Jo J Lee SJ Jee SH Association between alcohol intake and abdominal obesity among the Korean population Epidemiol Health 2010 32 e2010007 Wannamethee SG Shaper AG Alcohol, body weight, and weight gain in middle-aged men Am J Clin Nutr 2003 77 5 1312 1317 Arif AA Rohrer JE Patterns of alcohol drinking and its association with obesity: data from the third national health and nutrition examination survey, 1988-1994 BMC Public Health 2005 5 126 Hagnäs MP Jokelainen J Cederberg-Tamminen H Niemelä S Mikkola I Härkönen P Alcohol consumption and binge drinking in young men as predictors of body composition changes during military service Alcohol Alcohol 2017 52 3 365 371 Colditz GA Giovannucci E Rimm EB Stampfer MJ Rosner B Speizer FE Alcohol intake in relation to diet and obesity in women and men Am J Clin Nutr 1991 54 1 49 55 Yoon NH Yoo S Kwon S Influence of highly accessible urban food environment on weight management: a qualitative study in Seoul Int J Environ Res Public Health 2018 15 4 755 Crouse JR Gerson CD Decarli LM Lieber CS Role of acetate in the reduction of plasma free fatty acids produced by ethanol in man J Lipid Res 1968 9 4 509 512 Tolstrup JS Halkjaer J Heitmann BL Tjønneland AM Overvad K Sørensen TI Alcohol drinking frequency in relation to subsequent changes in waist circumference Am J Clin Nutr 2008 87 4 957 963 Yoshita K Arai Y Nozue M Komatsu K Ohnishi H Saitoh S Total energy intake and intake of three major nutrients by body mass index in Japan: NIPPON DATA80 and NIPPON DATA90 J Epidemiol 2010 20 Suppl 3 S515 S523 Noh JW Kwon YD Yang Y Cheon J Kim J Relationship between body image and weight status in east Asian countries: comparison between South Korea and Taiwan BMC Public Health 2018 18 1 814 Johansson G Wikman A Ahrén AM Hallmans G Johansson I Underreporting of energy intake in repeated 24-hour recalls related to gender, age, weight status, day of interview, educational level, reported food intake, smoking habits and area of living Public Health Nutr 2001 4 4 919 927 Lee O Lee DC Lee S Kim YS Associations between physical activity and obesity defined by waist-to-height ratio and body mass Index in the Korean population PLoS One 2016 11 7 e0158245 Meyer KA Wall MM Larson NI Laska MN Neumark-Sztainer D Sleep duration and BMI in a sample of young adults Obesity (Silver Spring) 2012 20 6 1279 1287 General characteristics of the study population according to obesity status

Values are presented as mean±standard error or weighted % (standard error).

aP-values were determined using the Student's t-test or chi-square test.

 Multiple logistic regression analyses of the relation between obesity status and lifestyle factors among young Korean women

Values are presented as odds ratio (95% confidence interval). Adjusted for age, marital status, household income, and job status.