Research in Community and Public Health Nursing (지역사회간호학회지)

Korean Academy of Community Health Nursing (한국지역사회간호학회)
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The Prevalence and Associated Factors of the Metabolic Syndrome in Pre-menopausal Housewives: An Analysis of the 2010~2015 Korean National Health and Nutrition Examination Survey

폐경 전 전업주부의 대사증후군 관련 요인: 2010~2015년 국민건강영양조사자료분석

  • Kim, Chul-Gyu (Department of Nursing Science, Chungbuk National University) ;
  • Kim, Youngji (College of Nursing, Gachon University)
  • Received : 2017.10.12
  • Accepted : 2018.02.26
  • Published : 2018.03.31
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Abstract

Purpose: The purpose of this study is to estimate the prevalence of the metabolic syndrome in pre-menopausal housewives and to explore controllable and uncontrollable factors regarding metabolic syndrome. Methods: The study population of this cross-sectional survey was from the Korean Health and Nutrition Examination Survey (KHANES) 2010 through 2015, including the fifth and sixth population-based studies. The criteria for metabolic syndrome include waist circumference, blood pressure, fasting plasma glucose, triglyceride, high-density lipoprotein (HDL) based on Korean Clinical Practice Guideline for Metabolic Syndrome by the Korean Academy of Family Medicine 2015. Results: Among the 2,498 subjects, 247 subjects had metabolic syndrome and the prevalence was estimated to be 9.9%. The number of subjects who met the criterion of HDL was 936 (36.2%), which was the most prevalent among the criteria for metabolic syndrome. Statistically significant (p<.05) factors include age, livinghood benefit group, perceived health status, obesity, family history of DM, sleeping time, awareness of stress,leukocyte, and erythrocyte count. The odds ratio of obesity in the BMI ${\geq}25$ group was 12.59 times as high as that of the BMI <25 group (p<.001) for metabolic syndrome. Conclusion: The prevalence of metabolic syndrome in pre-menopausal housewives in the survey was not low, and it is necessary to develop and apply comprehensive health habit management programs to improve controllable factors including exercise and food intake.

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References

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