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Factors related to adolescent obesity and changes: a cross-sectional study based on the Korea Youth Risk Behavior Survey

청소년의 비만과 관련된 요인 분석 및 관련 요인의 변화에 대한 단면조사연구 -청소년건강행태조사를 이용하여-

  • Bora Lee (Graduate School of Education, Pusan National University) ;
  • Ho Kyung Ryu (Department of Food Science and Nutrition, College of Human Ecology, Pusan National University)
  • 이보라 (부산대학교 교육대학원 영양교육전공) ;
  • 류호경 (부산대학교 생활과학대학 식품영양학과)
  • Received : 2023.07.10
  • Accepted : 2023.10.17
  • Published : 2023.10.31

Abstract

Objectives: The objective of this study was to identify factors associated with adolescent obesity, as well as any new factors that correlated with a change in the rate of obesity over time. Methods: The study used 5-yearly data collected by the Korea Youth Risk Behavior Survey starting from the year 2006 up until 2021 (data from 2nd, 7th, 11th, and 17th surveys were analyzed). Factors such as demographics, dietary factors, health behavioral factors, and mental health factors were studied. All data were analyzed using IBM SPSS 27.0, employing chi-square tests and multiple logistic regression analysis. Results: This study included data from a total of 255,200 participants. Factors contributing to obesity varied with time. Over the survey duration of 15 years, low academic achievement, parents with low levels of education, low frequency of fruit consumption, low frequency of fast food intake, long periods of being seated, and high levels of stress were significantly associated with a high rate of obesity. Factors that showed a new correlation with an increase in obesity rates included living with single parents, low frequency of muscle strengthening exercises, and experiencing intense sadness and despair in the past year. Factors that were correlated with a change in obesity rates over time included household economic status, frequency of carbonated beverage consumption, frequency of intense physical activity, and frequency of alcohol consumption. Breakfast intake and smoking were not significantly associated with obesity rates in the 15-year period. Conclusions: While several factors associated with obesity remained consistent over time, several new factors have emerged in response to social, economic, and environmental changes contributed to a change in obesity rate over time. Therefore, to prevent and manage adolescent obesity, continuous research into the new emergent factors contributing to obesity is needed.

Keywords

References

  1. Tembo J, Kabwe M, Chilukutu L, Chilufya M, Mwaanza N, Chabala C et al. Prevalence and risk factors for betaherpesvirus DNAemia in children > 3 weeks and < 2 years of age admitted to a large referral hospital in sub-Saharan Africa. Clin Infect Dis 2015; 60(3): 423-431. https://doi.org/10.1093/cid/ciu853
  2. Wyrick S, Hester C, Sparkman A, O'Neill KM, Dupuis G, Anderson M et al. What role does body mass index play in hospital admission rates from the pediatric emergency department? Pediatr Emerg Care 2013; 29(9): 974-978. https://doi.org/10.1097/PEC.0b013e3182a21a23
  3. Fang H, e-Lacerda RR, Schertzer JD. Obesity promotes a leaky gut, inflammation and pre-diabetes by lowering gut microbiota that metabolise ethanolamine. Gut 2023; 72(10): 1809-1811. https://doi.org/10.1136/gutjnl-2023-329815
  4. Emami E, Heidari-Soureshjani S, Mohammadjavad AO, Sherwin CMT. Obesity and the risk of developing kidney stones: A systematic review and meta-analysis. Iran J Kidney Dis 2023; 17(2): 63-72.
  5. OECD. Overweight or obese population (indicator) [Internet]. OECD; 2023 [cited 2023.05.23]. Available from: https://data.oecd.org/healthrisk/overweight-or-obese-population.htm#indicator-chart.
  6. World Obesity Day. World obesity atlas 2023 [Internet]. World Obesity Federation; 2023 [cited 2023.05.20]. Available from: https://www.worldobesityday.org/resources/entry/world-obesity-atlas-2023.
  7. Korea Disease Control and Prevention Agency. Korean Youth Risk Behavior Survey [Internet]. Korea Disease Control and Prevention Agency; 2022 [cited 2023.03.28]. Available from: https://www.kdca.go.kr/yhs/home.jsp.
  8. Iwatate E, Atem FD, Jones EC, Hughes JL, Yokoo T, Messiah SE. Association of obesity, suicide behaviors, and psychosocial wellness among adolescents in the United States. J Adolesc Health 2023; 72(4): 526-534. https://doi.org/10.1016/j.jadohealth.2022.11.240
  9. Whitaker RC, Pepe MS, Wright JA, Seidel KD, Dietz WH. Early adiposity rebound and the risk of adult obesity. Pediatrics 1998; 101(3):462.
  10. Tounian P, Aggoun Y, Dubern B, Varille V, Guy-Grand B, Sidi D et al. Presence of increased stiffness of the common carotid artery and endothelial dysfunction in severely obese children: A prospective study. The Lancet 2001; 358(9291): 1400-1404. https://doi.org/10.1016/S0140-6736(01)06525-4
  11. Cho WK, Han K, Ahn MB, Park Y, Jung MH, Suh B et al. Metabolic risk factors in Korean adolescents with severe obesity: Results from the Korea national health and nutrition examination surveys (K-NHANES) 2007-2014. Diabetes Res Clin Pract 2018; 138:169-176. https://doi.org/10.1016/j.diabres.2018.01.030
  12. Kim JH, Lee SR. The affect of obesity on adolescents' academic achievements and psychosocial adjustment. J Korean Soc Child Welf 2015; 50:179-211.
  13. Iwatate E, Atem FD, Jones EC, Hughes JL, Yokoo T, Messiah SE. Association of obesity, suicide behaviors, and psychosocial wellness among adolescents in the united states. J Adolesc Health 2023; 72(4): 526-534. https://doi.org/10.1016/j.jadohealth.2022.11.240
  14. Roberts RE, Deleger S, Strawbridge WJ, Kaplan GA. Prospective association between obesity and depression: Evidence from the alameda county study. Int J Obes 2003; 27(4): 514-521. https://doi.org/10.1038/sj.ijo.0802204
  15. Lee EY, Yoon KH. Epidemic obesity in children and adolescents: Risk factors and prevention. Front Med 2018; 12: 658-666. https://doi.org/10.1007/s11684-018-0640-1
  16. Korea Statistics Promotion Institute. Trends in Median Income, Distribution by Family Type [Internet]. Korea Statistics Promotion Institute; 2023 [cited 2023.06.11]. Available from: http://www.stat.or.kr/stats/02.php.
  17. Shin KO, Yoon JA, Je HJ, Hwang HJ, Lee YR, Choi JH. The effects of nutrition education based on a health belief model among male college students residing in Seoul. J Korean Soc Living Sci 2018; 27(4): 305-319.
  18. Kim JH, Cha JA. Investigation of status of school nutrition education and changes in perception of nutrition teacher's job. J Korean Diet Assoc 2018; 24(1): 92-107.
  19. Barriuso L, Miqueleiz E, Albaladejo R, Villanueva R, Santos JM, Regidor E. Socioeconomic position and childhood-adolescent weight status in rich countries: A systematic review, 1990-2013. BMC Pediatrics 2015; 15: 129.
  20. Yoo JY, Jin YH, Bae SJ. A study on the correlation between middle school students' eating disorder behavior and scholastic adjustment. Korean J Community Nutr 2012; 17(6): 707-713. https://doi.org/10.5720/kjcn.2012.17.6.707
  21. Jang HB, Park JY, Lee H, Kang JH, Park K, Song J. Association between parental socioeconomic level, overweight, and eating habits with diet quality in Korean sixth grade school children. J Nutr Health 2011; 44(5): 416-427. https://doi.org/10.4163/kjn.2011.44.5.416
  22. Jeong JE. The study examined the relationship among skipping breakfast, obesity and quality of life in adults [master's thesis]. Changshin University; 2020.
  23. Song EY. The association of breakfast frequency and BMI in adult [master's thesis]. Ajou University Graduate School of Public Health; 2019.
  24. Utter J, Scragg R, Mhurchu CN, Schaaf D. At-home breakfast consumption among New Zealand children: Associations with body mass index and related nutrition behaviors. J Am Diet Assoc 2007; 107(4): 570-576. https://doi.org/10.1016/j.jada.2007.01.010
  25. Sartorelli DS, Franco LJ, Cardoso MA. High intake of fruits and vegetables predicts weight loss in Brazilian overweight adults. Nutr Res 2008; 28(4): 233-238. https://doi.org/10.1146/annurev.nutr.28.061807.155530
  26. Tohill BC. Fruits and vegetables consumption and body weight management. Acta Hortic 2007; 744: 39-46. https://doi.org/10.17660/ActaHortic.2007.744.2
  27. Jang SY. Changes in the eating habits of Korean adolescents due to the COVID-19 epidemic [master's thesis]. Chungnam National University Graduate School of Public Health; 2023.
  28. Um MJ, Kim SA, Lee SK, Jung MR, Jung H. Correlation of fast food consumption during adolescent period on height and obesity. Med J Chosun Univ 2008; 33(2): 172-179.
  29. Marlow ML, Shiers AF. The relationship between fast food and obesity. Appl Econ Lett 2012; 19(16): 1633-1637. https://doi.org/10.1080/13504851.2011.648316
  30. Kim SE, Park CH. Korean Children and Youth Panel Survey: Data Analysis Report - COVID-19 and Changes in Youth's Daily Life and Psychological Well-being. National Youth Policy Institute; 2021 Dec. Report No. 21-R13-1.
  31. Donnelly JE, Sharp T, Houmard J, Carlson MG, Hill JO, Whatley JE et al. Muscle hypertrophy with large-scale weight-loss and resistance training. Am J Clin Nutr 1993; 58(4): 561-565. https://doi.org/10.1093/ajcn/58.4.561
  32. Yuan F, Gong W, Ding C, Li H, Feng G, Ma Y et al. Association of physical activity and sitting time with overweight/obesity in Chinese occupational populations. Obes Facts 2021; 14(1): 141-147. https://doi.org/10.1159/000512834
  33. de Heer HD, Wilkinson AV, Strong LL, Bondy ML, Koehly LM. Sitting time and health outcomes among Mexican origin adults: Obesity as a mediator. BMC Public Health 2012; 12: 896.
  34. Baek S, So W. Relationship between obesity in Korean adolescents and the frequency of alcohol consumption, the amount of alcohol consumed, and the frequency of severe alcohol intoxication. Obes Res Clin Pract 2012; 6(2): E159-E166. https://doi.org/10.1016/j.orcp.2011.08.001
  35. Oh YJ. The relationship between alcohol drinking patterns and overweight and obesity among adults using 2012' Community Health Survey [master's thesis]. Hanyang University Graduate School; 2017.