- Volume 7 Issue 3
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The Relationship between Existence of Spouses and Obesity for Korean Adults
우리나라 성인의 배우자 유무와 비만과의 관련성
- Received : 2012.05.04
- Accepted : 2012.06.07
- Published : 2012.06.30
The population with massive waist circumference is increasing in comparison with that with obesity in entire bodies in Korea. It is assumed that prevalence of obesity is closely related with changes in marriage status such as divorce or separation by death, and age, educational background, diet habits and living environment depending on presence or absence of spouses. To identify whether there are relations between spouse, BMI and waist circumference under the conditions such as life cycle age, educational level, income, smoking, drinking and walking controlled, this study used data of national health and nutrition research organized by Korea Center for Disease Control and Prevention. The subjects of the study were a total of 7,178: 3,043 men and 4,135 women whose ages were above 19 and married. As a result of controlling independent variables except a factor of spouse, there were no statistically significant relations between presence of spouse, waist circumference and BMI in men, but odds rate of waist circumference was lower, 0.78(95% CI 0.636-0.954) when the female subjects had no spouse than when they had spouse.
- Han YO. 'The development of module for measurement and wireless communication of SpO2/PPG signals". J of The Korea Institute of Electronic Communication Sciences, Vol. 6, No. 6, pp. 981-986, 2011.
- Sbarra DA, Nietert PJ. Divorce and death: forty years of the Charleston Heart Study. Psychol Sci. Vol. 20, pp. 107-113, 2009. https://doi.org/10.1111/j.1467-9280.2008.02252.x
- Hwangbo JH, Son YA, Shin SR, Yoon KS, Kim KS: Studies on the food & daily habits and lipid concentrations in serum of adult man. Food Industry and Nutrition. Vol. 7, No. 2, pp. 45-50, 2002
- Nam S.M, Ha E.H, Suh Y.J, Park S.H, Chang M.H, Seo J.H, Kim B.M. Effect of Obesity and Blood Lipid Profiles on Hyperlipidemia in Adults Aged Over 40 Years. J of Korea Society for study of Obesity. Vol. 17, No. 1, pp. 20-28, 2008.
- Nam KH, Shin MS, Yoo JH, Bae JJ, Lee SH, Kim SS, et al: The effect of exercise program during 16 weeks on leptin, HbA1c, BMI and body composition in middle aged men with obesity and NIDDM. J Sport Leisure Studies. Vol. 20, pp. 1115-1126, 2003.
- The Ministry of Health Welfare.2009, http://kosis.kr/nsp/wnsearch/totalseac h.jsp.
- Lee KM .Waist circumference as a screening tool for cardiovascular risk factors in Korea: Evaluation of receiver operating characteristics( ROC). J of Korean Acad Fam Med. Vol. 21, No. 3, pp. 395-405, 2000.
- Lee WY, Park JS, Noh SY, Rhee EJ, Kirn SW, Zimmet PZ. Prevalence of the metabolic syndrome among 40,698 Korean metropolitan subjects. Diabetes Res Clin Pract. Vol. 65, No. 2, pp. 143-149, 2004. https://doi.org/10.1016/j.diabres.2003.12.007
- Korea Center for Disease Control, 2009. http://healthy 1318.cdc.go.kr
- Chang HS. A Study on Nutrient Intakes and Blood Lipids of Middle Aged Men Living in Jeonbuk Province by Percentage of Body Fat. Korean J. Community Nutrition. Vol. 13, No. 3, pp. 334-345, 2008.
- Lee HS, Kwon CS. Prevalence of Metabolic Syndrome and Related Risk Factors of Elderly Residents in Andong Rural Area 1. Based on the Anthropometric Measurements and Health Behaviors. J of Korean Society of food Science and Nutrition. Vol. 39, No. 4, pp. 511-517, 2010. https://doi.org/10.3746/jkfn.2010.39.4.511
- Yeom JH, Kim KJ, Eileen MC. Factors Associated with Body Mass Index(BMI) Among Older Adults: A Comparison Study of the U.S., Japan, and Korea. Journal of the Korean Gerontological Society Vol. 29, No. 4, pp. 1479-1500, 2009.
- Ha HY, Choi BY, Park HB. Correlation between Obesity Indices and Cardiovascular Risk Factors and Usefullness of Abdominal Obesity Indices. J of Preventive medicine. Vol. 3, No. 2, pp. 327-341, 1997.
- Ball K, Mishra GD, Crawford D. Social factors and obesity: an investigation of the role if health behavior. Int J. Obestity. Vol. 27, pp. 394-403, 2003. https://doi.org/10.1038/sj.ijo.0802237
- Johnson NJ, Backlund E, Sorlie PD, Loveless CA. Marital status and mortality: the national longitudinal mortality study. Ann Epidemiol Vol. 10, pp. 224-238, 2000. https://doi.org/10.1016/S1047-2797(99)00052-6
- Eaker ED, Sullivan LM, Kelly-Hayes M, D'Agostino RB Sr, Benjamin EJ. Marital status, marital strain, and risk of coronary heart disease or total mortality: the Framingham Offspring Study. Psychosom Med. Vol. 69, pp. 509-513, 2007. https://doi.org/10.1097/PSY.0b013e3180f62357
- Choi SW. The comparison of the health behaviors between the bereaved and the non-bereaved women in Jeollanamdo. Kwangju; Faculty of medicine Graduate School Chonnam National University; 2008.
- Joung IM, Stronks K, Van de Mheen H, Mackenbach JP. Health behaviours explain part of the differences in self reported health associated with partner/marital status in The Netherlands. J Epidemiol Community Health. Vol. 49, pp. 482-488, 1995. https://doi.org/10.1136/jech.49.5.482
- Hseih SD, Muto T. The superiority of waist-to-height ratio as an anthropometric index to evaluate clustering of coronary risk factors among nonobese men and women. J of Preventive medicine. Vol. 40, No. 2, pp. 216-220, 2005. https://doi.org/10.1016/j.ypmed.2004.05.025
- Mirowsky J, Ross CE. Education, person control, lifestyle and health. Res Aging. Vol. 20, pp. 415-449, 1998. https://doi.org/10.1177/0164027598204003
- Paek KW, Hong YM. Health Behavior Factors Affecting Waist Circumference as an Indicator of Abdominal Obesity. J Prev Med Public Health Vol. 39, No. 1, pp. 5966, 2006.