Journal of Korean Public Health Nursing (한국보건간호학회지)

Korean Society of public Health Nursing (한국보건간호학회)
권호 표지
DOI QR코드

DOI QR Code

Psychosocial Factors Associated with Metabolic Syndrome among Korean Men and Women Aged over 40 Years

40세 이상 성인 남녀의 대사증후군 관련 심리사회적 요인

  • Ra, Jin Suk (College of Nursing, Chungnam National University) ;
  • Kim, Hye Sun (College of Nursing, Chungnam National University)
  • Received : 2018.10.30
  • Accepted : 2019.02.07
  • Published : 2019.04.29
Download PDF
⟨ Previous Next ⟩

Abstract

Objectives: This study identified biopsychosocial factors associated with metabolic syndrome among Korean men and women aged over 40 years. Methods: Secondary data from the 2010-2016 Korean National Health and Nutrition Examination Survey were used for this study. Based on the biopsychosocial model, psychosocial factors (stress, depression, smoking, binge alcohol consumption, physical activity) were assessed with control of biomedical (age, body mass index, family history of hypertension, dyslipidemia, type 2 diabetes mellitus, and cardiovascular disease) and biosocial factors (educational level and economic status). Data from 8,624 men and 7,321 women were analyzed by logistic regression analysis using a complex sample procedure. Results: Among men, current or past smoking habits (Adjusted Odds Ratio [AOR]: 1.349; 95% Confidence Interval [CI]: 1.155-1.575, p<.001) and binge alcohol consumption (AOR: 1.570, CI: 1.389-1.774, p<.001) were associated with metabolic syndrome. In addition, moderate (AOR: 1.205, CI: 1.038-1.400, p=.014) and low levels of physical activity (AOR: 1.296, CI: 1.109-1.514, p=.001) were associated with metabolic syndrome. Among women, low level of physical activity (AOR: 1.276, CI: 1.017-1.602, p=.036) was associated with metabolic syndrome. Conclusion: Gender specific interventions such as encouraging physical activity and prevention of smoking and excessive alcohol drinking are important to prevention of metabolic syndrome.

Keywords

Table 1. Biomedical, Biosocial, and Psychosocial Factors in Participants

BGGHB8_2019_v33n1_20_t0001.png 이미지

Table 3. Psychosocial Factors Associated with Metabolic Syndrome among the Middle Aged Men (N=15,945)

BGGHB8_2019_v33n1_20_t0002.png 이미지

Table 4. Psychosocial Factors Associated with Metabolic Syndrome among the Middle Aged Women (N=15,945)

BGGHB8_2019_v33n1_20_t0003.png 이미지

Table 2. Difference in Metabolic Development According to Biomedical, Biosocial, and Psychosocial Factors of Middle Aged Men and Women

BGGHB8_2019_v33n1_20_t0004.png 이미지

References

  1. Aguilar, M., Bhuket, T., Torres, S., Liu, B., & Wong, R. J. (2015). Prevalence of the metabolic syndrome in the United States, 2003-2012. The Journal of the American Medical Associaion, 313(19), 1973-1974. http://doi.org/10.1001/jama.2015.4260
  2. An, B. M., & Son, J. H. (2018). Analysis of Metabolic Syndrome in Korean Adult One-Person Households. Jounal of Korean Public Health Nursing. 32(1) 30-43.
  3. Calo, W. A., Ortiz, A. P., Suarez, E., Guzman, M., Perez, C. M., & Perez, C. M. (2013). Association of cigarette smoking and metabolic syndrome in a Puerto Rican adult population. Journal of Immigrant and Minority Health, 15(4), 810-816. https://doi.org/10.1007/s10903-012-9660-0
  4. Garbarino, S., & Magnavita, N. (2015). Work stress and metabolic syndrome in police officers. A prospective study. PLoS One, 10(12), e0144318. https://doi.org/10.1371/journal.pone.0144318
  5. Grundy, S. M., Cleeman, J. I., Daniels, S. R., Donato, K. A., Eckel, R. H., Franklin, B. A., ... & Spertus, J. A. (2005). Diagnosis and management of the metabolic syndrome. Circulation, 112(17), 2735-2752. http://dx.doi.org/10.1161/CIRCULATIONAHA.105.169404
  6. Ha, C. H., Ha, S., & So, W. Y. (2012). Effects of a 12-week combined exercise training program on the body composition, physical fitness levels, and metabolic syndrome profiles of obese women. Journal of Korean Public Health Nursing, 26(3), 417-427. http://doi.org/10.5932/JKPHN.2012.26.3.417
  7. Hattori, T., Konno, S., & Munakata, M. (2017). Gender differences in lifestyle factors associated with metabolic syndrome and preliminary metabolic syndrome in the general population: the Watari study. Internal Medicine, 56(17), 2253-2259. https://doi.org/10.2169/internalmedicine.8578-16
  8. Hoffman, M. A., & Driscoll, J. M. (2000). Health promotion and disease prevention: A concentric biopsychosocial model of health status. In S. D. Brown & R. W. Lent(Eds.), Handbook of counseling psychology(pp. 532-570). New York: John Wiley & Sons, Inc.
  9. International Physical Activity Questionnaire Research Committee. (2005, November). Guidelines for the data processing and analysis of the International Physical Activity Questionnaire. Retrieved May 23, 2018. from https://sites.google.com/site/theipaq/scoring-protocol
  10. Jang, J. E., & Koh, E. H. (2012). The impacts of alcohol consumption on glucose metabolism. The Journal of Korean Diabetes, 13(2), 81-84. https://doi.org/10.4093/jkd.2012.13.2.81
  11. Jeoung, B. J., & Shin, C. (2005). Relationship between physical activity, obesity and metabolic syndrome. Journal of Korean Physical Education Association for Girls and Women, 19(5), 45-53.
  12. Kelley, G. A., & Kelley, K. S. (2006). Effects of aerobic exercise on C-reactive protein, body composition, and maximum oxygen consumption in adults: a meta-analysis of randomized controlled trials. Metabolism, 55(11), 1500-1507. https://doi.org/10.1016/j.metabol.2006.06.021
  13. Kim, M. K., Lee, W. Y., Kang, J. H., Kang, J. H., Kim, B. T., Kim, S. M., ... & Lee, K. Y. (2014). 2014 clinical practice guidelines for overweight and obesity in Korea. Endocrinology and Metabolism, 29(4), 405-409. http://dx.doi.org/10.3803/EnM.2014.29.4.405
  14. Korean Society of Lipidology and Atherosclerosis. (2015, September). Dyslipidemia fact sheet in korea 2015 [Fact sheet]. Retrieved August 3, 2018, from http://www.lipid.or.kr/file/Dyslipidemia%20fact%20sheet_kor_Final.pdf
  15. Kim, I. H. (2010). The effect of walking exercise and detraining on body composition, blood lipids and stress hormones in middle aged obese women. Journal of Korean Living Environment System 17(6), 731-739.
  16. Kim, B. J., Kim, B. S., & Kang, J. H. (2012). Alcohol consumption and incidence of metabolic syndrome in Korean men. Circulation Journal, 76(10), 2363-2371. https://doi.org/10.1253/circj.CJ-12-0315
  17. Krishnadath, I. S., Toelsie, J. R., Hofman, A., & Jaddoe, V. W. (2016). Ethnic disparities in the prevalence of metabolic syndrome and its risk factors in the Suriname Health Study: a cross-sectional population study. BMJ Open, 6(12), e013183. http://doi.org/10.1136/bmjopen-2016-013183
  18. Liu, Y., Ozodiegwu, I. D., Nickel, J. C., Wang, K., & Iwasaki, L. R. (2017). Self-reported health and behavioral factors are associated with metabolic syndrome in Americans aged 40 and over. Preventive Medicine Reports, 7, 193-197. https://doi.org/10.1016/j.pmedr.2017.06.010
  19. Marchi, R. D., Dell'Agnolo, C. M., Lopes, T. C. R., Gravena, A. A. F., Demitto, M. D. O., Brischiliari, S. C. R., ... & Pelloso, S. M. (2017). Prevalence of metabolic syndrome in pre-and postmenopausal women. Archives of Endocrinology and Metabolism, 61(2), 160-166. http://dx.doi.org/10.1590/2359-3997000000253
  20. Oh, J. E. (2014). Association between smoking status and metabolic syndrome in men. The Korean Journal of Obesity, 23(2), 99-105. http://doi.org/10.7570/kjo.2014.23.2.99
  21. Park, E., Choi, S. J., & Lee, H. Y. (2013). The prevalence of metabolic syndrome and related risk factors based on the KNHANES V 2010. Journal of Agricultural Medicine and Community Health, 38(1), 1-13. http://doi.org/10.5393/JAMCH.2013.38.1.001
  22. Ra, J. S., & Kim, H. S. (2017). Sex-based association between depression and metabolic syndrome in Korean middle-aged and older adults. Osong Public Health and Research Perspectives, 8(2), 130-137. https://doi.org/10.24171/j.phrp.2017.8.2.05
  23. Ra, J. S., & Kim, H. S. (2018). Influence of physical activity on metabolic syndrome according to smoking intensity. Journal of Korean Public Health Nursing, 32(2), 319-330. http://dx.doi.org/10.5932/JKPHN.2018.32.2.319
  24. Reaven, G., & Tsao, P. S. (2003). Insulin resistance and compensatory hyperinsulinemia: the key player between cigarette smoking and cardiovascular disease?. Journal of the American College of Cardiology, 41(6), 1044-1047. https://doi.org/10.1016/S0735-1097(02)02982-0
  25. Saylor, J., & Friedmann, E. (2015). Biopsychosocial contributors to metabolic syndrome: a secondary analysis of 2007-2010 National Health and Nutrition Examination Survey Data. Nursing Research, 64(6), 434-443. https://doi.org/10.1097/NNR.0000000000000121
  26. Schmidt, C., & Bergstrom, G. M. (2012). The metabolic syndrome predicts cardiovascular events: results of a 13-year follow-up in initially healthy 58-year-old men. Metabolic Syndrome and Related Disorders, 10(6), 394-399. https://doi.org/10.1089/met.2012.0048
  27. Seong, J. H., Lee, C. H., Do, H. J., Oh, S. W., Lym, Y. L., Choi, J. K., ... & Cho, D. Y. (2009). Performance of the AUDIT Alcohol Consumption Questions (AUDIT-C) and AUDIT-K question 3 alone in screening for problem drinking. Korean Journal of Family Medicine, 30(9), 695-702. https://doi.org/10.4082/kjfm.2009.30.9.695
  28. Stranges, S., Wu, T., Dorn, J. M., Freudenheim, J. L., Muti, P., Farinaro, E., ... & Trevisan, M. (2004). Relationship of alcohol drinking pattern to risk of hypertension: a population-based study. Hypertension, 44(6), 813-819. https://doi.org/10.1161/01.HYP.0000146537.03103.f2
  29. Thomas, G. N., Schooling, C. M., McGhee, S. M., Ho, S. Y., Cheung, B. M., Wat, N. M., ... & Lam, T, H. (2007). Metabolic syndrome increases all-cause and vascular mortality: the Hong Kong Cardiovascular Risk Factor Study. Clinical Endocrinology, 66(5), 666-671. https://doi.org/10.1111/j.1365-2265.2007.02798.x
  30. Vari, R., Scazzocchio, B., D'Amore, A., Giovannini, C., Gessani, S., & Masella, R. (2016). Gender-related differences in lifestyle may affect health status. Annali dell'Istituto Superiore di Sanita,, 52(2), 158-166. https://doi.org/10.4415/ANN_16_02_06