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National Health Examination Metabolic Syndrome Item and Health Behavior Analysis

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[OBJECTIVES] The purpose of this study is to investigate the relationship between the habits of physical activities in several intensities, drinking, and smoking of the general public who live in the S city and diabetes, high blood pressure, high-density lipoprotein cholesterol, plasma triglyceride, and waist circumference of them. [METHODS] For research, residents of 2,438,370 in S city were selected by using the big data of health checkups sheets that were conducted by the National Health Insurance Corporation in 2017. Physical activities were classified into three groups by intensity. The part of drinking was divided into three groups of non-alcohol, low, and high-drinking people. There were four groups in smoking of non-smoking, the group that smoke lower than the half pack of cigarettes per day, the half to one pack, and more than one pack. Metabolic syndrome frequency analysis and logistic regression analysis were used for this research. [RESULTS] Compared to the low-intensity physical activity group, the high-intensity group had 0.992, 0.954, 0.871, 0.83, and 0.878 times of lower risk in fasting plasma glucose, blood pressure, high density lipoprotein (HDL-C), plasma triglycerides, and abnormal waist circumference. High drinking group had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.326, 1.894, 1.334, 2.125 and 1.263 times than non-drinking group. The group who smoked more than one pack a day had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.971, 1.225, 3.229, 2.871, and 1.522 times than the group of non-smoking. [CONCLUSION] The subjects who did not have risk factors for metabolic syndrome were 29.7%. The average of patients with metabolic syndrome was 25.2%, of which males were 30.3%, and females were 20.1% of them. Metabolic syndrome factors were proved statistically valid. In the physical activity group, the high-intensity physical activity group had a lower risk of metabolic syndrome factors than the low and medium-intensity physical activity groups. The high-drinking group had a higher risk of metabolic syndrome in triglycerides, and the smoking group who smoked more than one pack per day had a higher risk of metabolic syndrome in high-density lipoprotein cholesterol.

Abstract

[OBJECTIVES] The purpose of this study is to investigate the relationship between the habits of physical activities in several intensities, drinking, and smoking of the general public who live in the S city and diabetes, high blood pressure, high-density lipoprotein cholesterol, plasma triglyceride, and waist circumference of them. [METHODS] For research, residents of 2,438,370 in S city were selected by using the big data of health checkups sheets that were conducted by the National Health Insurance Corporation in 2017. Physical activities were classified into three groups by intensity. The part of drinking was divided into three groups of non-alcohol, low, and high-drinking people. There were four groups in smoking of non-smoking, the group that smoke lower than the half pack of cigarettes per day, the half to one pack, and more than one pack. Metabolic syndrome frequency analysis and logistic regression analysis were used for this research. [RESULTS] Compared to the low-intensity physical activity group, the high-intensity group had 0.992, 0.954, 0.871, 0.83, and 0.878 times of lower risk in fasting plasma glucose, blood pressure, high density lipoprotein (HDL-C), plasma triglycerides, and abnormal waist circumference. High drinking group had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.326, 1.894, 1.334, 2.125 and 1.263 times than non-drinking group. The group who smoked more than one pack a day had more risk of fasting plasma glucose, blood pressure, HDL-C, plasma triglyceride, and abnormal waist circumference by 1.971, 1.225, 3.229, 2.871, and 1.522 times than the group of non-smoking. [CONCLUSION] The subjects who did not have risk factors for metabolic syndrome were 29.7%. The average of patients with metabolic syndrome was 25.2%, of which males were 30.3%, and females were 20.1% of them. Metabolic syndrome factors were proved statistically valid. In the physical activity group, the high-intensity physical activity group had a lower risk of metabolic syndrome factors than the low and medium-intensity physical activity groups. The high-drinking group had a higher risk of metabolic syndrome in triglycerides, and the smoking group who smoked more than one pack per day had a higher risk of metabolic syndrome in high-density lipoprotein cholesterol.

참고문헌 (32)

  1. "Social indicators in Korea 2018" (2019)[URL]
  2. "2018 Chronic disease status and issues (Chronic diseases fact book)" (2018)[URL]
  3. The prevalence of metabolic syndrome and social costs, Social trends in Korea, "Cho YT", Statistics Development Institute, 99~105 (2015)
  4. Kim JY, "Summary of 2018 metabolic syndrome fact sheet", Korean Society of Cardio Metabolic Syndrome, 4~14 (2018)
  5. Sherling DH, "Metabolic syndrome", J Cardiovasc Pharmacol Ther, 22(4), pp.365~367 (2017)
  6. Miranda PJ, "Metabolic syndrome : definition, pathophysiology, and mechanisms", Am Heart J, 149(1), pp.33~45 (2005)
  7. Santos AC, "Alcohol intake, smoking, sleeping hours, physical activity and the metabolic syndrome", Prev Med, 44(4), pp.328~334 (2007)
  8. Yu Ri Seo, "Association between Alcohol Consumption and Metabolic Syndrome Determined by Facial Flushing in Korean Women", Korean Journal of Family Medicine, 42(1), pp.24~30 (2021), 대한가정의학회[DOI]
  9. Reaven E, "Structure and function changes in rat adrenal glands during aging", Am J Physiol, 255(6 Pt 1), pp.E903~E911 (1988)
  10. Sallis JM, "Vigorous physical activity and cardiovascular risk factors in young adults", J Chron Dis, 39, pp.115~120 (1986)
  11. Craig WY, "Cigarete smoking and serum lipid and lipoprotein concentrations : an analysis of published data", BMJ, 298(676), pp.784~788 (1989)
  12. Steven HW, "Health promotion and disease prevention in clinical practice", LWW, pp.5~7 (2007)
  13. Alberti KG, "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, 120(16), pp.1640~1645 (2009)
  14. ACSM, "Guidelines for exercise testing and prescription" (2018), Lippincott Williams and Wilkins
  15. National Health Insurance Service, "Information on conducting 2019 health checks", pp.138~139 (2019), Korea Disabled Cultural Contents Association
  16. 차광석, "총신체활동량과 대사증후군 위험요인간의 관계 : - 서울시 일개 보건소를 중심으로 -", 한국웰니스학회지, 11(1), pp.243~252 (2016), 한국웰니스학회
  17. 최윤아, "5주간의 복합운동이 비만 장병의 혈중지질 및 건강관련 삶의 질에 미치는 영향", 운동과학, 27(2), pp.153~160 (2018), 한국운동생리학회[DOI]
  18. 이승범, "한국 중년 여성의 신체활동량 수준에 따른 연도별 신체구성과 대사증후군 위험인자의 변화: 국민건강영양조사(2007, 2010, 2015)", 한국체육과학회지, 26(5), pp.1067~1078 (2017), 한국체육과학회[DOI]
  19. 박하늬, "한국 폐경 여성의 허리둘레", 신장비 및 안정시 심박수와 심혈관-대사 위험요인과의 상관성, 2019, pp.28(1), 82~90[DOI]
  20. 김동진, "Effect of Activity Tracker & Application Use on Adherence, Metabolic Syndrome Factor and Body Composition in Middle and Senior-Aged", 아시아 운동학 학술지, 20(2), pp.28~37 (2018), 대한운동학회[DOI]
  21. 송종임, "성인 한국인의 고밀도 콜레스테롤 수준에 따른 신체활동량", Korean Journal of Health Promotion, 11(4), pp.197~205 (2011), 대한임상건강증진학회
  22. Vishram JK, "Impact of age and gender on the prevalence and prognostic importance of the metabolic syndrome and its components in Europeans. The MORGAM Prospective Cohort Project", PLoS One, 9(9), pp.e107294~ (2014)
  23. 유인화, "Effects of Aging and Sarcopenic Obesity Type on Metabolic Syndrome Risk Factors in Elderly Women", 아시아 운동학 학술지, 20(1), pp.12~19 (2018), 대한운동학회[DOI]
  24. 김병성, "한국 남성 음주자에서 신체 활동량 및 음주량과 대사증후군의 관계", 대한스포츠의학회지, 32(2), pp.97~104 (2014), 대한스포츠의학회[DOI]
  25. Powell KE., "Physical activity and the incidence of coronary heart disease", Annu Rev Publ Health, 8, pp.253~287 (1987)
  26. Eliason B, "The insulin resistance syndrome and postprandial lipid intolerance in smokers", Atherosclerosis, 129(1), pp.79~78 (1979)
  27. 임열리, "ATP III의 진단기준에 따른 대사증후군의 유병률과 관련위험요인 분석 -일개 대학병원 건강증진센터 수진자를 대상으로-", Korean Journal of Family Medicine, 24(2), pp.135~143 (2003), 대한가정의학회
  28. 안옥희, "일 지역 대사증후군 위험인자와 건강행태에 관한 연구 - 2014 지역사회건강조사 -", 한국산학기술학회논문지, 17(12), pp.218~225 (2016), 한국산학기술학회[DOI]
  29. Park HS, "Prevalence and associated factors of metabolic syndrome among adults in primary care", Korean J Obes, 12(3), pp.108~123 (2003)
  30. Pan XR, "Effects of diet and exercise in preventing NIDDM in people with impaired glucose tolerance : The Da Qing IGT and Diabetes Study", Diabetes Care, 20, pp.53744~ (1997)
  31. 조진경, "한국 성인에서 악력과 대사증후군 발생률과의 연관성: 코호트 연구", 운동과학, 28(3), pp.303~310 (2019), 한국운동생리학회
  32. 박규리, "건강검진 수검자들의 대사증후군 위험인자별 유병률 및 비만지표와의 관련성", 한국산학기술학회논문지, 17(3), pp.153~162 (2016), 한국산학기술학회[DOI]

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