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Concordance in the Health Behaviors of Couples by Age: A Cross-sectional Study

  • Jeong, Seungmin (Department of Preventive Medicine, Graduate School of Public Health, Seoul National University) ;
  • Cho, Sung-il (Department of Preventive Medicine, Graduate School of Public Health, Seoul National University)
  • 투고 : 2017.09.06
  • 심사 : 2017.11.15
  • 발행 : 2018.01.31

초록

Objectives: To investigate concordance in the health behaviors of women and their partners according to age and to investigate whether there was a stronger correlation between the health behaviors of housewives and those of their partners than between the health behaviors of non-housewives and those of their partners. Methods: We used data obtained from women participants in the 2015 Korea Community Health Survey who were living with their partners. The outcome variables were 4 health behaviors: smoking, drinking, eating salty food, and physical activity. The main independent variables were the partners' corresponding health behaviors. We categorized age into 4 groups (19-29, 30-49, 50-64, and ${\geq}65\;years$) and utilized multivariate logistic regression analysis, stratifying by age group. Another logistic regression analysis was stratified by whether the participant identified as a housewife. Results: Data from 64 971 women older than 18 years of age were analyzed. Of the 4 health behaviors, the risk of smoking (adjusted odds ratio [aOR], 4.65; 95% confidence interval [CI], 3.93 to 5.49) was highest when the participant's partner was also a smoker. Similar results were found for an inactive lifestyle (aOR, 2.56; 95% CI, 2.45 to 2.66), eating salty food (aOR, 2.48; 95% CI, 2.36 to 2.62); and excessive drinking (aOR, 1.89; 95% CI, 1.80 to 1.98). In comparison to non-housewives, housewives had higher odds of eating salty food. Conclusions: The health behaviors of women were positively correlated with those of their partners. The magnitude of the concordance differed by age group.

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참고문헌

  1. Li K, Husing A, Kaaks R. Lifestyle risk factors and residual life expectancy at age 40: a German cohort study. BMC Med 2014; 12:59. https://doi.org/10.1186/1741-7015-12-59
  2. Selmer RM, Kristiansen IS, Haglerod A, Graff-Iversen S, Larsen HK, Meyer HE, et al. Cost and health consequences of reducing the population intake of salt. J Epidemiol Community Health 2000;54(9):697-702. https://doi.org/10.1136/jech.54.9.697
  3. Lee IM, Shiroma EJ, Lobelo F, Puska P, Blair SN, Katzmarzyk PT, et al. Effect of physical inactivity on major non-communicable diseases worldwide: an analysis of burden of disease and life expectancy. Lancet 2012;380(9838):219-229. https://doi.org/10.1016/S0140-6736(12)61031-9
  4. Tay L, Tan K, Diener E, Gonzalez E. Social relations, health behaviors, and health outcomes: a survey and synthesis. Appl Psychol Health Well Being 2013;5(1):28-78. https://doi.org/10.1111/aphw.12000
  5. Umberson D. Family status and health behaviors: social control as a dimension of social integration. J Health Soc Behav 1987;28(3):306-319. https://doi.org/10.2307/2136848
  6. Zhang J, Wu L. Cigarette smoking and alcohol consumption among Chinese older adults: do living arrangements matter? Int J Environ Res Public Health 2015;12(3):2411-2436. https://doi.org/10.3390/ijerph120302411
  7. Matsuzuki H, Muto T, Haruyama Y. School children's salt intake is correlated with salty taste preference assessed by their mothers. Tohoku J Exp Med 2008;215(1):71-77. https://doi.org/10.1620/tjem.215.71
  8. Jurj AL, Wen W, Li HL, Zheng W, Yang G, Xiang YB, et al. Spousal correlations for lifestyle factors and selected diseases in Chinese couples. Ann Epidemiol 2006;16(4):285-291. https://doi.org/10.1016/j.annepidem.2005.07.060
  9. Meyler D, Stimpson JP, Peek MK. Health concordance within couples: a systematic review. Soc Sci Med 2007;64(11):2297-2310. https://doi.org/10.1016/j.socscimed.2007.02.007
  10. Schierberl Scherr AE, McClure Brenchley KJ, Gorin AA. Examining a ripple effect: do spouses' behavior changes predict each other's weight loss? J Obes 2013;2013:297268.
  11. Margolis R, Wright L. Better off alone than with a smoker: the influence of partner's smoking behavior in later life. J Gerontol B Psychol Sci Soc Sci 2016;71(4):687-697. https://doi.org/10.1093/geronb/gbu220
  12. Windle M, Windle RC. A prospective study of alcohol use among middle-aged adults and marital partner influences on drinking. J Stud Alcohol Drugs 2014;75(4):546-556. https://doi.org/10.15288/jsad.2014.75.546
  13. Ask H, Rognmo K, Torvik FA, Roysamb E, Tambs K. Non-random mating and convergence over time for alcohol consumption, smoking, and exercise: the Nord-Trondelag Health Study. Behav Genet 2012;42(3):354-365. https://doi.org/10.1007/s10519-011-9509-7
  14. Kang YW, Ko YS, Kim YJ, Sung KM, Kim HJ, Choi HY, et al. Korea Community Health Survey data profiles. Osong Public Health Res Perspect 2015;6(3):211-217. https://doi.org/10.1016/j.phrp.2015.05.003
  15. Kim H, Lee K, Chang S, Kang G, Tak Y, Lee M, et al. Factors affecting the validity of self-reported data on health services from the Community Health Survey in Korea. Yonsei Med J 2013;54(4):1040-1048. https://doi.org/10.3349/ymj.2013.54.4.1040
  16. Kim SJ, Han JA, Kim YH, Choi BY, Kim SY, Lee HJ, et al. Test-retest reliability of health behavior items in the Community Health Survey in South Korea. Epidemiol Health 2015;37: e2015045. https://doi.org/10.4178/epih/e2015045
  17. Ezzati M, Lopez AD, Rodgers A, Murray CJ. Comparative quantification of health risks: global and regional burden of disease attributable to selected major risk factors; 2004 [cited 2018 Jan 10]. Available from: http://apps.who.int/iris/bitstream/10665/42792/1/9241580348_eng_Volume1.pdf.
  18. Ganzeboom HB. International standard classification of occupations ISCO-08 with ISEI-08 scores; 2010 [cited 208 Jan 10]. Available from: http://www.harryganzeboom.nl/isco08/isco08_with_isei.pdf.
  19. Aaberge R, Melby I. The sensitivity of income inequality to choice of equivalence scales. Rev Income Wealth 1998;44(4): 565-569. https://doi.org/10.1111/j.1475-4991.1998.tb00299.x
  20. Jackson SE, Steptoe A, Wardle J. The influence of partner's behavior on health behavior change: the English Longitudinal Study of Ageing. JAMA Intern Med 2015;175(3):385-392. https://doi.org/10.1001/jamainternmed.2014.7554
  21. Reynolds CA, Barlow T, Pedersen NL. Alcohol, tobacco and caffeine use: spouse similarity processes. Behav Genet 2006; 36(2):201-215. https://doi.org/10.1007/s10519-005-9026-7
  22. Wilson SE. The health capital of families: an investigation of the inter-spousal correlation in health status. Soc Sci Med 2002;55(7):1157-1172. https://doi.org/10.1016/S0277-9536(01)00253-2
  23. Ranby KW, Lewis MA, Toll BA, Rohrbaugh MJ, Lipkus IM. Perceptions of smoking-related risk and worry among dual-smoker couples. Nicotine Tob Res 2013;15(3):734-738. https://doi.org/10.1093/ntr/nts210
  24. Kim JY, Emery C. Marital power, conflict, norm consensus, and marital violence in a nationally representative sample of Korean couples. J Interpers Violence 2003;18(2):197-219. https://doi.org/10.1177/0886260502238735
  25. Kyung-Sup C, Min-Young S. The stranded individualizer under compressed modernity: South Korean women in individualization without individualism. Br J Sociol 2010;61(3):539-564. https://doi.org/10.1111/j.1468-4446.2010.01325.x

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