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성인초기 남녀의 비만관련 건강행위 사회연결망 분석: 2021년 국민건강영양조사 자료 활용

Social Network Analysis of Obesity-Related Health Behavior Among Young Adult Men and Women: Insights from the 2021 Korea National Health and Nutrition Examination Survey

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초록

Purpose: This secondary data analysis study examined the level and network of obesity-related health behaviors among young adult men and women. Methods: The study included 1,754 adults (802 men and 952 women) aged 19–44 years who participated in the 8th 3rd Korea National Health and Nutrition Examination Survey (2021). The selected obesity-related health behaviors included alcohol abstinence, not smoking, proper sleep, eating breakfast, fruit intake, vegetable intake, not eating out, aerobic physical activity, walking, and weight training. Obesity-related health behavior networks were analyzed for density, inclusiveness, degree, and degree/closeness/betweenness centrality using social network analysis. Results: The results showed that obesity among all participants was 36.2%, with a higher prevalence in men (70.4%) than in women. Women had higher levels of health behaviors related to alcohol abstinence, not smoking, and diet; however, they had lower levels of health behaviors related to physical activity. In the obesity-related health behavior network, non-obese women showed a very high density and average degree, indicating high levels of concurrent health behaviors. In contrast, obese women exhibited very low density and average degree, indicating low levels of concurrent health behaviors. The obesity-related health behavior networks of non-obese and obese men had similar densities, average degrees, and network structures. Furthermore, they exhibited a high centrality of vegetable intake, proper sleep, aerobic physical activity, and walking. Conclusion: Efficient obesity management can be achieved by focusing on health behaviors with high centrality in the health behavior network and differentiating approaches according to sex.

Abstract

Purpose: This secondary data analysis study examined the level and network of obesity-related health behaviors among young adult men and women. Methods: The study included 1,754 adults (802 men and 952 women) aged 19–44 years who participated in the 8th 3rd Korea National Health and Nutrition Examination Survey (2021). The selected obesity-related health behaviors included alcohol abstinence, not smoking, proper sleep, eating breakfast, fruit intake, vegetable intake, not eating out, aerobic physical activity, walking, and weight training. Obesity-related health behavior networks were analyzed for density, inclusiveness, degree, and degree/closeness/betweenness centrality using social network analysis. Results: The results showed that obesity among all participants was 36.2%, with a higher prevalence in men (70.4%) than in women. Women had higher levels of health behaviors related to alcohol abstinence, not smoking, and diet; however, they had lower levels of health behaviors related to physical activity. In the obesity-related health behavior network, non-obese women showed a very high density and average degree, indicating high levels of concurrent health behaviors. In contrast, obese women exhibited very low density and average degree, indicating low levels of concurrent health behaviors. The obesity-related health behavior networks of non-obese and obese men had similar densities, average degrees, and network structures. Furthermore, they exhibited a high centrality of vegetable intake, proper sleep, aerobic physical activity, and walking. Conclusion: Efficient obesity management can be achieved by focusing on health behaviors with high centrality in the health behavior network and differentiating approaches according to sex.

참고문헌 (36)

  1. Korean Society for the Study of Obesity, "Clinical practice guidelines for obesity 2022" (2022), Korean Society for the Study of Obesity
  2. Baik IK, "Forecasting obesity prevalence in Korean adults for the years 2020 and 2030 by the analysis of contributing factors", Nutrition Research and Practice, 12(3), pp.251~257 (2018)[DOI]
  3. Korea Health Statistics Plus: In-depth Report on Adult Obesity Based on the Korea National Health and Nutrition Examination Survey, "Korea Disease Control and Prevention Agency", Korea Disease Control and Prevention Agency, 1~21 (2022)
  4. Lee KW, "The associated factors of obesity and severe obesity in young adults with a focus on health habits, mental health and chronic diseases : data from community health survey, 2019", Journal of the Korea Convergence Society, 12(9), pp.351~360 (2021)[DOI]
  5. Jeong JH, "Cross-sectional associations between lifestyle factors and obesity among students in a university at Gyeonggi Province", Journal of Health Informatics and Statistics, 46(4), pp.402~409 (2021)[DOI]
  6. Baek SH, "Comparison of characteristics by obesity types classified based on body mass index and waist circumference of Korean adults", Journal of Converging Sport and Exercise Sciences, 20(2), pp.69~82 (2022)[DOI]
  7. Kim AR, "Effect of health behaviors, dietary habits, and psychological health on metabolic syndrome in one-person households among Korean young adults", Journal of Digital Convergence, 16(7), pp.493~509 (2018)[DOI]
  8. Lee SH, "The effect of sleep duration on obesity in Korean adults", Journal of Convergence for Information Technology, 12(4), pp.219~230 (2022)[DOI]
  9. Chew HSJ, "Global impact of COVID-19 on weight and weight-related behaviors in the adult population : a scoping review", International Journal of Environmental Research and Public Health, 18(4), pp.1876~ (2021)[DOI]
  10. Korea Health Statistics 2021: Korea National Health and Nutrition Examination Survey (KNHANES VIII-3), "Korea Disease Control and Prevention Agency", Korea Disease Control and Prevention Agency, 159~161 (2021)
  11. Small M, "Changes in eating and physical activity behaviors across seven semesters of college : living on or off campus matters", Health Education and Behavior, 40(4), pp.435~441 (2013)[DOI]
  12. Lanoye A, "The transition into young adulthood : a critical period for weight control", Current Diabetes Reports, 17(11), pp.114~ (2017)[DOI]
  13. Kim JY, "The differences of quality of life by gender in undergraduate : focused on health practice", Journal of Convergence for Information Technology, 9(12), pp.81~87 (2019)[DOI]
  14. Gu HM, "Clustering of Healthy Behaviors and Related Factors among 19-64Aged Korean Adults", Journal of Health Informatics and Statistics, 46(3), pp.267~275 (2021)[DOI]
  15. Park SY, "A study on the characteristics of health risk behavior in older adults with chronic joint pain using association analysis", Journal of Korean Gerontological Nursing, 23(2), pp.107~116 (2021)[DOI]
  16. Park SH, "An association rule mining-based framework for understanding lifestyle risk behaviors", pp.2014
  17. Heo JH, "Associations between multiple health-promoting behaviors and obesity among Korean adults", Journal of the Korean Society for Wellness, 15(4), pp.889~904 (2020)[DOI]
  18. Livingstone KM, "A health behavior score is associated with hypertension and obesity among australian adults", Obesity, 25(9), pp.1610~1617 (2017)[DOI]
  19. Loprinzi PD, "Concurrent occurrence of multiple positive lifestyle behaviors and depression among adults in the United States", Journal of Affective Disorders, 165, pp.126~130 (2014)[DOI]
  20. Serrano-Fuentes N, "The influence of social relationships and activities on the health of adults with obesity : a qualitative study", Health Expectations, 25(4), pp.1892~1903 (2022)[DOI]
  21. Byrne NM, "Intermittent energy restriction improves weight loss efficiency in obese men : the MATADOR study", International Journal of Obesity, 42(2), pp.129~138 (2018)[DOI]
  22. Witjaksono F, "Effect of intermittent fasting 5 : 2 on body composition and nutritional intake among employees with obesity in Jakarta : a randomized clinical trial", BMC Research Notes, 15(1), pp.323~ (2022)[DOI]
  23. Cho YH, "The effect of high intensity intermittent exercise on obesity, physical fitness and metabolic syndrome risk factors among overweight male college students", The Korean Journal of Growth and Development, 27(4), pp.295~301 (2019)[DOI]
  24. Bliss ES, "The effects of aerobic exercise training on cerebrovascular and cognitive function in sedentary, obese, older adults", Front Aging Neuroscience, 14, pp.892343~ (2022)[DOI]
  25. Kwak KY, "Social network analysis" (2017), Cheongram Publishing
  26. Berkman LF, "Health and ways of living: the alameda county study" (1983), Oxford University Press
  27. Gu HM, "Clustering of healthy behaviors and related factors among 19-64 aged Korean adults", Journal of Health Informatics and Statistics, 46(3), pp.267~275 (2021)[DOI]
  28. Kim JI, "The effects of life stress, depression and drinking motives on problem drinking among college students", Journal of the Korea Academia-Industrial cooperation Society, 18(5), pp.497~506 (2017)[DOI]
  29. Jang KW, "Differences in mental health, drinking, and smoking among self-support workers by gender", Journal of the Korea Academia-Industrial cooperation Society, 22(9), pp.360~366 (2021)[DOI]
  30. Suh KH, "The moderating effect of resilience in job-seeking stresses and problematic drinking among college students", Korean Journal of Youth Studies, 25(6), pp.301~320 (2018)[DOI]
  31. Christakis NA, "The collective dynamics of smoking in a large social network", The New England Journal of Medicine, 358(21), pp.2249~2258 (2008)[DOI]
  32. Quiroga-Sánchez E, "Descriptive study of friendship networks in adolescents and their relationship with selfefficacy and alcohol consumption using social network analysis", International Journal of Environmental Research and Public Health, 19(18), pp.11527~ (2022)[DOI]
  33. Park MS, "Effects of meal regularity on adult obesity", Journal of Rural Development, 39(3), pp.79~122 (2016)[DOI]
  34. Longo-Silva G, "Breakfast skipping and timing of lunch and dinner : relationship with BMI and obesity", Obesity Research and Clinical Practice, 16(6), pp.507~513 (2022)[DOI]
  35. Kim MJ, "Factors influencing subjective health status perception of obese college students", Journal of the Korean Society of School Health, 30(3), pp.336~343 (2017)[DOI]
  36. Lim HJ, "Prevalence of obesity and self-rated health among Korean adults with metabolic syndrome using complex samples analysis", Journal of the Korea Entertainment Industry Association, 13(6), pp.175~186 (2019)[DOI]

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