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The Relationship between Existence of Spouses and Obesity for Korean Adults

우리나라 성인의 배우자 유무와 비만과의 관련성

  • 정미화 (조선대학교 대학원 보건학과) ;
  • 석경휴 (청암대학교 병원의료정보과) ;
  • 박형수 (경기의료재단 영광하나의원)
  • Received : 2012.05.04
  • Accepted : 2012.06.07
  • Published : 2012.06.30

Abstract

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.

우리나라는 전체적인 비만보다 복부비만의 인구가 늘어가고 있으며, 이러한 비만의 유병률은 이혼이나 사별과 같은 결혼상태의 변화와 배우자의 유무에 따른 연령, 교육수준, 식생활 습관 및 생활환경과도 밀접한 관련이 있을 것이다. 생애주기연령, 교육수준, 가구소득, 흡연, 음주, 걷기운동을 보정한 상태에서 배우자의 유무와 비만도 및 허리둘레가 서로 관련성이 있는지를 파악하기 위해 질병관리본부의 주관으로 시행된 국민건강영양 조사 자료를 이용하였다. 분석 대상자는 19세 이상 결혼을 한 성인 중 남자 3,043명, 여자4,135명으로 총 7,178명 이었다. 배우자유무를 제외한 독립변수들을 보정한 결과, 남자에서 배우자 유무와 허리둘레 및 비만도와의 관련성은 통계적으로 유의함은 없었고, 여자에서는 배우자가 있는 경우 보다 배우자가 없는 경우에서 허리둘레에 대한 비차비가 0.78(95% 신뢰구간 0.636-0.954)로 낮게 나타났다.

Keywords

References

  1. 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.
  2. 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
  3. 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
  4. 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.
  5. 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.
  6. The Ministry of Health Welfare.2009, http://kosis.kr/nsp/wnsearch/totalseac h.jsp.
  7. 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.
  8. 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
  9. Korea Center for Disease Control, 2009. http://healthy 1318.cdc.go.kr
  10. 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.
  11. 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
  12. 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.
  13. 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.
  14. 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
  15. 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
  16. 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
  17. 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.
  18. 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
  19. 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
  20. Mirowsky J, Ross CE. Education, person control, lifestyle and health. Res Aging. Vol. 20, pp. 415-449, 1998. https://doi.org/10.1177/0164027598204003
  21. 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.