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BMC Public Health
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Open Access 01-12-2024 | Obesity | Research

Prediction model for identifying high-risk groups for overweight or obesity among Korean men in their 30s and 40s

Author: Myeunghee Han

Published in: BMC Public Health | Issue 1/2024

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Abstract

Purpose

This study was aimed to build a prediction model to identify high-risk groups for overweight or obesity among Korean men in their 30s and 40s.

Methods

This study analyzed data from 28,388 men aged 30–40 years, gathered in the 2022 Community Health Survey. Participants were categorized into two groups based on BMI: underweight/normal weight group and overweight/obese group. This study used chi-squared tests and independent t-tests to compare general and health-related characteristics. Moreover, a prediction model was developed using decision tree analysis, and its validity was verified through a split-sample test.

Results

The proportions of participants in the underweight /normal and overweight/obese groups were 50.4% and 49.6%, respectively. The group with the highest overweight/obesity rate at 60.6% had the characteristics of drinking more than 7 cups at a time, being married, and lacking sleep. On the other hand, the group with the lowest overweight or obesity rate (38.7%) had the characteristics of drinking less than 6 cups of alcohol at a time, getting enough sleep, and smoking less than 15 cigarettes.

Conclusions

The rate of overweight and obesity among Korean males in their 30s and 40s is significantly high. This study found that individuals who consume more than seven glasses of alcohol at a time, are married, and do not get enough sleep are at high risk of being overweight or obese. Therefore, it is essential to develop and implement targeted intervention programs for this high-risk group of Korean men in their 30s and 40s.
Literature
1.
2.
Nam G. Current status and epidemiology of adult obesity in Korea. J Korean Med Assoc. 2022;65(7):394–9.CrossRef
3.
Korean Society for the Study of Obesity. 2020 Korean Society for the Study of Obesity guidelines for the management of obesity in Korea. Seoul; 2020.
4.
5.
Kim B, Kang S, Kang J, Kang S, Kim K, Kim K, et al. 2020 Korean society for the study of obesity guidelines for the management of obesity in Korea. J Obesty Metab Syndr. 2021;30:81–92.CrossRef
6.
Yang Y, Han B, Han K, Jung J, Son J. Obesity fact sheet in Korea, 2021: Trends in obesity prevalence and obesity-related comorbidity incidence stratified by age from 2009 to 2019. J Obes Metab Syndr. 2022;31(2):169–77.CrossRefPubMedPubMedCentral
7.
Korea Centers for Disease Control and Prevention. Korea National Health and Nutrition Examination Survey Fact Sheet. Cheonju; 2020.
8.
9.
10.
Kim B. Obesity and sex hormones. Korean J Obes. 2010;19(4):113–8.
11.
Kim DS. Body image distortion and appearance management behaviors in women and their policy implications. Health Welf Forum. 2021;9.
12.
13.
14.
15.
16.
Hwang S. Estimation of high-risk drinkers and drinking behavior in Korea. J Environ Heal Sci. 2020;46(1):65–77.
17.
Choi H, Choi J, Park K, Joo K, GA H, Ko H, et al. Standarization of the Korean version of patient health questionanire-9 as a screening instrument for major depressive disorder. Korean J Fam Med. 2007;28:114–9.
18.
Choi J, Seo D. Decision trees and its applications. J Korean off Stat. 1999;4(1):61–83.
19.
Seo J, Kim M. A prediction model for quality of life by Resilience in Disaster female victims. Korean J Adult Nurs. 2021;33(6):639–48.CrossRef
20.
Choi J, Han S, Kang H, Kim Y. Data mining decision tree by using answer tree. SPSS Korea. Seoul; 1998.
21.
22.
23.
Park M, Jung N, Comparison of Physical Activity and Nutrient Intake according to Abdominal Obesity in their 20s and 30s in Korean Men: Data from the Seventh Korea National Health and Nutrition Examination Survey IV (2016–2018). Korean Soc Sport Sci. 2020;29(4):1113–25.
24.
25.
Aberg F, Farkkila M. Dirnking and obesity: alcoholic liver disease/nonalcoholic fatty liver disease interactions. Semin Liver Dis. 2020;40(2):154–62.CrossRefPubMed
26.
Lau K, Baumeister S, Lieb W. The combined effects of alcohol consumption and body mass index on hepatic steatosis in a general population sample of European men and women. Aliment Ther J. 2015;41(5):467–76.CrossRef
27.
28.
Sayon-Orea C, Martinez-Gonzalez M, Bes-Rastrollo M. Alcohol consumption and body weight:a systematic review. Nutr Rev. 2011;69:419–31.CrossRefPubMed
29.
Sobal J, Janson K, Frongillo E. Gender, ethnicity, marital status, and body weight in the United States. Obesity (Silver Spring). 2009;17(12):2223–31.
30.
Tzaotzas T, Vlahavas S, Ppadopoulou E, Kapantais D, Kaklamanou M. Marital status and educational level associated to obesity in Greek adults: data from the National Epidemiological Survey. BMC Public Health. 2010;10:732.CrossRef
31.
Lee J, Shin A, Cho S, Choi J, Kang D, Lee J. Marital status and the prevalence of obesity in a Korean population. Obes Res Clin Pract. 2020;14(3):217–24.CrossRefPubMed
32.
Roos E, Lahelma M, Virtanen R, Prattala P. Gender, socioeconomc statis and family status as determinants of food beavior. Soc Sci &Medicine. 1998;46:1519–29.
33.
Klos L, Sobal J. Weight and weddings. Engaged men’s body wieght ideals and wedding weight management behaviors. Appetite2. 2013;601:133–9.
34.
Karla H, Jeffery S, Edward F. Gender and marital status calrify association between food insecurity and body weight. J Nutr. 2007;137(6):1460–5.CrossRef
35.
36.
Beccuti G, Pannain S. Sleep and obesity. Curr Opin Clin Nutr Metab Care. 2013;14(4):402–12.CrossRef
37.
Li Q. The association between sleep duration and excess body weight of the American adult population: a cross-sectional study of the national health and nutrition examination survey 2015–2016. BMC Pubilc Heal. 2021;21:1–9.
38.
Grandner M, Jackson N, Gerstner J, Knutson K. Dietary nutrients associated with short and long sleep duration. Data from a nationally representative sample. Appetite2. 2013;64:71–80.CrossRef
39.
40.
Gray C, Anderson A, Clarke A, Dalziel A, Hunt K, Leishman J. Addressing male obesity: an evaluation of a group based weight management intervention for Scottish men. Jounral Men’s Heal. 2009;6:70–81.
41.
Stibbe A. Health and the social construction of masculinity in men’s health magazine. Men Masc. 2004;7:31–51.CrossRef
42.
Gough B, Conner M. Barriers to healthy eating amongst men: a qualitative analysis. Soc Sci Med. 2006;62:987–95.CrossRef
43.
44.
45.
46.
Metadata
Title
Prediction model for identifying high-risk groups for overweight or obesity among Korean men in their 30s and 40s
Author
Myeunghee Han
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Public Health / Issue 1/2024
Electronic ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-024-20573-y

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