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Necessity of the Development of a Web-based Obesity Management Program to Prevent Metabolic Syndrome of the Workers

근로자의 대사증후군 예방을 위한 웹기반 비만 관리 프로그램 개발의 필요성

  • Received : 2014.10.12
  • Accepted : 2014.12.12
  • Published : 2014.12.31

Abstract

This study was executed to provide the basic data to prevent and manage the workers' metabolic syndrome (MS) in workplace by analyzing the health examination data of 1,152 workers at the ages from 19 to 34 and comparing the differences in MS prevalence, its components and living habits according to obesity. As a result, MS prevalence showed 8.9% in male and 1.5% in female respectively. MS prevalence according to obesity showed the differences that prevalence of male subjects without obesity was 1.6% and 21.7% with obesity and prevalence of female subjects without obesity was 0% and 12.5% with obesity. Components of MS according to obesity showed 4 factors except hypertriglyceridemia were significantly related with obesity in female subjects and all factors were significantly related with obesity in male subjects. With the above results, obesity is identified as the risk factor affecting MS prevalence and components of younger than 40 year old workers. Therefore, it is suggested health manager should consistently implement obesity management to prevent and manage the MS in working place and increase the workers' participation through the development and utilization of a web-based obesity management program considering space-time restriction and efficiently manage the MS.

본 연구는 19-34세 근로자 1,152명의 건강검진 자료를 분석하여 비만에 따른 대사증후군 유병률, 구성요소 및 생활습관과의 차이를 비교함으로써 사업장에서 근로자의 대사증후군 예방 및 관리를 위한 기초자료를 제공하고자 실시되었다. 연구 결과 대사증후군 유병률은 남성과 여성에서 각각 8.9%, 1.5%이었다. 비만에 따른 대사증후군 유병률은 남성에서 비만이 없는 경우 1.6%, 비만이 있는 경우 21.7%로 차이가 있었으며 여성에서도 비만이 없는 경우 0%, 비만이 있는 경우 12.5%로 차이를 나타내었다. 비만에 따른 대사증후군 구성요소를 살펴보면 여성에서는 중성지방 상승을 제외한 4가지 요소, 남성에서는 모든 요소가 비만과 유의하게 관련이 있는 것으로 나타났다. 이상의 결과로 비만은 40세 미만 근로자에서 대사증후군 유병률 및 구성요소에 영향을 미치는 위험 인자임이 확인되었다. 따라서 보건관리자는 직장에서의 대사증후군 관리 및 예방을 위하여 비만 관리를 지속적으로 실시하고, 시공간적 제약을 고려한 웹기반 비만 관리 프로그램의 개발 및 활용을 통하여 근로자의 참여를 높이고 효율적으로 대사증후군을 관리해 나가도록 제언한다.

Keywords

References

  1. C. H. Jung, et al., "Effects of Smoking, Alcohol, Exercise, Level of Education, and Family History on the Metabolic Syndrome in Korean Adults", The Korean Journal of Medicine, Vol. 63, No. 6, pp. 649-659, 2002.
  2. T. H. Kim, et al., "Prevalence of the Metabolic Syndrome in Type 2 Diabetic Patients", Diabetes & Metabolism Journal, Vol. 33, No. 1, pp. 33-40, 2009.
  3. H. S. Lim, et al., "Comparative of the Nutritional Status and Correlation of Cardiovascular Disease in Type II Diabetes Mellitus Patients with Metabolic Syndromes", Journal of Nutrition and Health, Vol. 41, No. 4, pp. 327-340. 2008.
  4. Ministry of Health & Welfare, Korea Centers for Disease Control & Prevention, "Korea Health Statistics 2011: Korea National Health and Nutrition Examination Survey (KNHANES V-2)", http://knhanes.cdc.go.kr/. 2012.
  5. Y. C. Cho, et al., "Prevalence of Metabolic Syndrome and Its Associated Factors among Health Checkup Examination in a University Hospital", Journal of the Korea Academia-Industrial cooperation Society, Vol. 13, No. 11, pp. 5317-5325, 2012. https://doi.org/10.5762/KAIS.2012.13.11.5317
  6. H. S. Kim, et al., "Comparison of the Metabolic Syndrome Risk Factors, Physical Activity, and Diet Habits between the Fifties and Sixties in Postmenopausal Women", Journal of Korean Biological Nursing Science, Vol. 15, No. 3, pp. 133-138, 2013. https://doi.org/10.7586/jkbns.2013.15.3.133
  7. S. Y. Jin, et al., "Prevalence and Criteria of Metabolic Syndrome in Korean Children and Adolescents", Journal of Korean Society of Living Environmental System, Vol. 21, No. 2, pp. 214-222. 2014. https://doi.org/10.21086/ksles.2014.04.21.2.214
  8. K. O. Cho, "Associations of Body Shape Index and Body Mass Index with Metabolic Syndrome Risk Factors in Korean Adolescents", Exercise Science, Vol. 23, No. 1, pp. 33-40, 2014. https://doi.org/10.15857/ksep.2014.23.1.33
  9. Statistics Korea, "Economically Active Population Survey", 2014.
  10. C. J. Kim, et al., "Lifestyle Characteristics, Metabolic Syndrome Risk Factors and Risk of Cardiovascular Disease among Workers in Kyeongki-do", Korean Journal of Occupational Health Nursing, Vol. 17, No. 2, pp. 230-238, 2008.
  11. H. S. Lee, "A Study on Life Habits of Male and Female Adults Relating to Their Body Shape", Korean Journal of Society of Food & Cookery Science, Vol. 13, No. 2, pp. 147-156.
  12. H. N. Park, et al., "Comparison of Metabolic Syndrome Components, Abnormal Liver Function, and Living Habits according to Abdominal Obesity in Male and Female Workers", Korean Journal of Occupational Health Nursing, Vol. 22, No. 4, pp. 334-342, 2013. https://doi.org/10.5807/kjohn.2013.22.4.334
  13. J. I. Kim, et al., "Correlation of Metabolic Syndrome with Waist Circumference and Waist-to-height Ratio", Journal of Korean Society for the Study of Obesity, Vol. 18, No. 3, pp. 87-93, 2009.
  14. K. G. Alberti, et al., "Harmonizing the Metabolic Syndrome: A Joint Interim Statement of the International Diabetes Federation Task Force on Epidemiology and Prevention; National Heart, Lung, and Blood Institute; American Heart Association; World Heart Federation; International Atherosclerosis Society; and International Association for the Study of Obesity", Circulation, Vol. 120, No. 16, pp. 1640-1645, 2009. https://doi.org/10.1161/CIRCULATIONAHA.109.192644
  15. S. Y. Lee, et al., "Cut-off Points of Waist Circumference for Defining Abdominal Obesity in the Korean Population", The Korean Journal of Obesity, Vol. 15, No. 1, pp. 1-9, 2006.
  16. T. S. Han, et al., "Waist Circumference Reduction and Cardiovascular Benefits during Weight Loss in Women", International Journal of Obesity and Related Metabolic Disorders, Vol. 21, No. 2, pp. 127-134, 1997. https://doi.org/10.1038/sj.ijo.0800377
  17. S. W. Choi, et al., "A Study on the Correlation between Obesity and Blood Pressure, Drinking and Smoking Habit. -The Subject of a Medical Check Up-", Journal of Oriental Rehabilitation Medicine, Vol. 10, No. 2, pp. 59-68. 2000.
  18. J. H. Kim, et al., "Association between Obesity and Patterns of Alcohol Drinking in Korea", Korean Public Health Research, Vol. 40, No. 1, pp. 99-108. 2014.
  19. S. W. Oh, et al., "Effects of Alcohol on Obesity and Metabolic Syndrome", Journal of Korean Society for the Study of Obesity, Vol. 18, No. 1, pp. 1-7. 2009.
  20. P. M. Suter, "Is Alcohol Consumption a Risk Factor for Weight Gain and Obesity?", Critical Reviews in Clinical Laboratory Sciences, Vol. 42, No. 3, pp. 197-227. 2005. https://doi.org/10.1080/10408360590913542
  21. M. Malik, et al., "The Prevalence of the Metabolic Syndrome among the Multiethnic Population of the United Arab Emirates: A Report of a National Survey", Metabolic Syndrome and Related Disorders, Vol. 6, No. 3, pp. 177-186, 2008. https://doi.org/10.1089/met.2008.0006

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