DOI QR코드

DOI QR Code

Impact of Obesity on Cardiometabolic Disease Risk Factor Clusters among Korean Young Adults

젊은 성인에서 비만이 심혈관대사질환 위험인자 군집에 미치는 영향

  • Youn Huh (Department of Family Medicine, Uijeongbu Eulji Medical Center, Eulji University)
  • 허연 (을지대학교 의과대학 의정부을지대학교병원 가정의학교실)
  • Received : 2024.03.07
  • Accepted : 2024.06.15
  • Published : 2024.06.30

Abstract

Background: This study investigated the association between obesity and cardiometabolic disease clusters in Korean adults aged 19-39 years. Methods: We included 3,785 participants (1,767 men and 2,018 women) aged 19-39 years who participated in the Korea National Health and Nutrition Examination Survey (2020-2022). The risk factors for cardiometabolic disease were defined as follows: high blood pressure; hypertriglyceridemia; hyperuricemia; and high low-density lipoprotein cholesterol, low high-density lipoprotein cholesterol, high fasting plasma glucose, elevated alanine aminotransferase levels. Results: The prevalence of participants with ≥ 1, ≥ 2, and ≥ 3 cardiometabolic disease risk factors was 95.2%, 84.2%, and 65.6% in men and 90.0%, 70.5%, and 43.0%, in women with class 2-3 obesity, respectively. Compared to those for young adults with underweight/normal weight, the odds ratios (ORs) and 95% confidence intervals (CIs) for the clustering of cardiometabolic risk factors were 17.26 (8.32-35.80) for ≥ 1; 19.43 (12.18-31.00) for ≥ 2; and 22.93 (14.15-37.15) for ≥ 3 factors in men with class 2-3 obesity and 14.67 (8.00-26.91) for ≥ 1; 20.88 (12.15-35.88) for ≥ 2; and 36.26 (20.20-65.09) for ≥ 3 factors in women with class 2-3 obesity. Conclusion: Although the patients were young, the prevalence and ORs for cardiometabolic disease risk factor clusters in young adults with obesity were prominently high. Prevention and management of obesity in young Korean adults are urgently needed at both individual and public levels.

Keywords

References

  1. Poirier P, Alpert MA, Fleisher LA, et al. Cardiovascular evaluation and management of severely obese patients undergoing surgery: a science advisory from the American Heart Association. Circulation 2009;120:86-95. 
  2. World Health Organization (WHO). WHO European regional obesity report 2022. Geneva: WHO; 2022. 
  3. Kim KK, Haam JH, Kim BT, et al. Evaluation and treatment of obesity and its comorbidities: 2022 update of clinical practice guidelines for obesity by the Korean Society for the Study of Obesity. J Obes Metab Syndr 2023;32:1-24. 
  4. Huh Y, Nam GE. Overcoming increasing morbid obesity in Korea. J Obes Metab Syndr 2021;30:77-80. 
  5. Alley DE, Chang VW. Metabolic syndrome and weight gain in adulthood. J Gerontol A Biol Sci Med Sci 2010;65:111-7. 
  6. Drozdz D, Alvarez-Pitti J, Wojcik M, et al. Obesity and cardiometabolic risk factors: from childhood to adulthood. Nutrients 2021;13:4176. 
  7. Sahoo K, Sahoo B, Choudhury AK, Sofi NY, Kumar R, Bhadoria AS. Childhood obesity: causes and consequences. J Family Med Prim Care 2015;4:187-92. 
  8. Skinner AC, Mayer ML, Flower K, Weinberger M. Health status and health care expenditures in a nationally representative sample: how do overweight and healthy-weight children compare? Pediatrics 2008;121:e269-77. 
  9. Baker JL, Olsen LW, Sorensen TI. Childhood body-mass index and the risk of coronary heart disease in adulthood. N Engl J Med 2007;357:2329-37. 
  10. Saydah S, Bullard KM, Imperatore G, Geiss L, Gregg EW. Cardiometabolic risk factors among US adolescents and young adults and risk of early mortality. Pediatrics 2013;131:e679-86. 
  11. Park HS, Cho SI, Song YM, Sung J. Multiple metabolic risk factors and total and cardiovascular mortality in men with low prevalence of obesity. Atherosclerosis 2006;187:123-30. 
  12. Lee JS, Cho SI, Park HS. Metabolic syndrome and cancer-related mortality among Korean men and women. Ann Oncol 2010;21:640-5. 
  13. Alberti KG, Zimmet P, Shaw J. The metabolic syndrome--a new worldwide definition. Lancet 2005;366:1059-62. 
  14. Sui X, Church TS, Meriwether RA, Lobelo F, Blair SN. Uric acid and the development of metabolic syndrome in women and men. Metabolism 2008;57:845-52. 
  15. Golabi P, Paik J, Hwang JP, Wang S, Lee HM, Younossi ZM. Prevalence and outcomes of non-alcoholic fatty liver disease (NAFLD) among Asian American adults in the United States. Liver Int 2019;39:748-57. 
  16. Tillin T, Sattar N, Godsland IF, Hughes AD, Chaturvedi N, Forouhi NG. Ethnicity-specific obesity cut-points in the development of Type 2 diabetes - a prospective study including three ethnic groups in the United Kingdom. Diabet Med 2015;32:226-34. 
  17. Tung EL, Baig AA, Huang ES, Laiteerapong N, Chua KP. Racial and ethnic disparities in diabetes screening between Asian Americans and other adults: BRFSS 2012-2014. J Gen Intern Med 2017;32:423-9. 
  18. Huang TT, Kempf AM, Strother ML, et al. Overweight and components of the metabolic syndrome in college students. Diabetes Care 2004;27:3000-1. 
  19. Huang TT, Shimel A, Lee RE, Delancey W, Strother ML. Metabolic risks among college students: prevalence and gender differences. Metab Syndr Relat Disord 2007;5:365-72. 
  20. de Kroon ML, Renders CM, Kuipers EC, et al. Identifying metabolic syndrome without blood tests in young adults--the Terneuzen Birth Cohort. Eur J Public Health 2008;18:656-60. 
  21. Alberti KG, Eckel RH, Grundy SM, et al.; International Diabetes Federation Task Force on Epidemiology and Prevention; Hational Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; International Association for the Study of Obesity. Harmonizing the metabolic syndrome: a joint interim statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity. Circulation 2009;120:1640-5. 
  22. Leiter LA, Fitchett DH, Gilbert RE, et al. Cardiometabolic risk in Canada: a detailed analysis and position paper by the cardiometabolic risk working group. Can J Cardiol 2011;27:e1-33. 
  23. Li W, Homer K, Hull S, Boomla K, Robson J, Alazawi W. Obesity predicts liver function testing and abnormal liver results. Obesity (Silver Spring) 2020;28:132-8. 
  24. Wakabayashi I. Age-dependent influence of gender on the association between obesity and a cluster of cardiometabolic risk factors. Gend Med 2012;9:267-77. 
  25. Kautzky-Willer A, Brazzale AR, Moro E, et al. Influence of increasing BMI on insulin sensitivity and secretion in normotolerant men and women of a wide age span. Obesity (Silver Spring) 2012;20:1966-73. 
  26. Shoelson SE, Lee J, Goldfine AB. Inflammation and insulin resistance. J Clin Invest 2006;116:1793-801. 
  27. Magge SN, Goodman E, Armstrong SC. The metabolic syndrome in children and adolescents: shifting the focus to cardiometabolic risk factor clustering. Pediatrics 2017;140:e20171603. 
  28. Samson SL, Garber AJ. Metabolic syndrome. Endocrinol Metab Clin North Am 2014;43:1-23. 
  29. Laaksonen DE, Niskanen L, Punnonen K, et al. Sex hormones, inflammation and the metabolic syndrome: a population-based study. Eur J Endocrinol 2003;149:601-8. 
  30. Schunkert H, Hense HW, Andus T, Riegger GA, Straub RH. Relation between dehydroepiandrosterone sulfate and blood pressure levels in a population-based sample. Am J Hypertens 1999;12(11 Pt 1):1140-3. 
  31. Sarpong DF, Curry IY, Williams M. Assessment of knowledge of critical cardiovascular risk indicators among college students: does stage of education matter? Int J Environ Res Public Health 2017;14:250. 
  32. Skot L, Nielsen JB, Leppin A. Who perceives a higher personal risk of developing type 2 diabetes? A cross-sectional study on associations between personality traits, health-related behaviours and perceptions of susceptibility among university students in Denmark. BMC Public Health 2018;18:972. 
  33. Dipietro L, Zhang Y, Mavredes M, et al. Physical activity and cardiometabolic risk factor clustering in young adults with obesity. Med Sci Sports Exerc 2020;52:1050-6.