생활체육 여건과 의료이용의 연관성: 국민건강보험공단 자료 연계
Association Between Sport-for-All Condition and Healthcare Utilization: Results from the National Health Insurance Sharing Service Linkage
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
PURPOSE: This study aimed to investigate the association between Sport-for-All (SFA) Condition and Healthcare utilization. METHODS: Using data from the National SFA survey (2019 and 2021) and the National Fitness Award100 (n=313) linked to the National health insurance sharing service, we examined associations between SFA condition and healthcare utilization. RESULTS: Hierarchical regression analysis indicated that demographic and health factors, individual-level factors, social and environmental factors of SFA participation, and physical fitness were associated with healthcare utilization. These factors uniquely explained 16.5%, 19.4%, 3.4%, and 0.2% of healthcare costs, and 11.5%, 11.8%, 8.5%, and 0.6% of healthcare services, respectively. Eight factors were associated with healthcare utilization. For healthcare costs, the significant factors were as follows: age (β=0.279, p<.05), chronic disease (β=0.396, p<.05), frequency of SFA (β=0.309, p<0.05), Intensity of exercise (β=-0.180, p<.05), self-related fitness (β=-0.291, p<.01), awareness of sports facilities (β=-0.178, p<.05), Experience with courses related to Sport-for-All (β=-0.195, p<.05), and certification of physical fitness (β=-0.117, p<.05). For healthcare service, the factors are as follow: age (β=0.349 p<.05), chronic disease (β=0.393, p<.05), frequency of SFA (β=0.302, p<.05), Intensity of exercise (β=-0.157, p<.05), self-related fitness (β= -0.286, p<.01), awareness of sports facilities (β=-0.194, p<.05), Experience with courses related to SFA (β=-0.153, p<.05), and certification of physical fitness (β=-0.134, p<.05). Additionally, participation in SFA exhibited a J-shaped pattern of healthcare utilization. CONCLUSIONS: We confirmed an association between SFA condition and healthcare utilization. Future studies should adopt a systematic, sports data-driven cohort approach to better understand and enhance the effectiveness of SFA participation
Abstract
PURPOSE: This study aimed to investigate the association between Sport-for-All (SFA) Condition and Healthcare utilization. METHODS: Using data from the National SFA survey (2019 and 2021) and the National Fitness Award100 (n=313) linked to the National health insurance sharing service, we examined associations between SFA condition and healthcare utilization. RESULTS: Hierarchical regression analysis indicated that demographic and health factors, individual-level factors, social and environmental factors of SFA participation, and physical fitness were associated with healthcare utilization. These factors uniquely explained 16.5%, 19.4%, 3.4%, and 0.2% of healthcare costs, and 11.5%, 11.8%, 8.5%, and 0.6% of healthcare services, respectively. Eight factors were associated with healthcare utilization. For healthcare costs, the significant factors were as follows: age (β=0.279, p<.05), chronic disease (β=0.396, p<.05), frequency of SFA (β=0.309, p<0.05), Intensity of exercise (β=-0.180, p<.05), self-related fitness (β=-0.291, p<.01), awareness of sports facilities (β=-0.178, p<.05), Experience with courses related to Sport-for-All (β=-0.195, p<.05), and certification of physical fitness (β=-0.117, p<.05). For healthcare service, the factors are as follow: age (β=0.349 p<.05), chronic disease (β=0.393, p<.05), frequency of SFA (β=0.302, p<.05), Intensity of exercise (β=-0.157, p<.05), self-related fitness (β= -0.286, p<.01), awareness of sports facilities (β=-0.194, p<.05), Experience with courses related to SFA (β=-0.153, p<.05), and certification of physical fitness (β=-0.134, p<.05). Additionally, participation in SFA exhibited a J-shaped pattern of healthcare utilization. CONCLUSIONS: We confirmed an association between SFA condition and healthcare utilization. Future studies should adopt a systematic, sports data-driven cohort approach to better understand and enhance the effectiveness of SFA participation
참고문헌 (31)
- Guthold R, "Worldwide trends in insufficient physical activity from 2001 to 2016: a pooled analysis of 358population-based surveys with 1.9 million participants", Lancet Glob Health, pp.1077~1086 (2016)
- Bull FC, "World Health Organization 2020 guidelines on physical activity and sedentary behaviour", Br J Sports Med, 54(24), pp.1451~1462 (2020)
- Piepoli MF, "2016 European Guidelines on cardiovascular disease prevention in clinical practice : the Sixth Joint Task Force of the European Society of Cardiology and Other Societies on Cardiovascular Disease Prevention in Clinical Practice(constituted by representatives of 10 societies and by invited experts)Developed with the special contribution of the European Association for Cardiovascular Prevention & Rehabilitation(EACPR)", Eur Heart J, 37(29), pp.2315~2381 (2016)
- Lee IM, "Effect of physical inactivity on major non-communicable diseases worldwide : an analysis of burden of disease and life expectancy", Lancet, 380(9838), pp.219~229 (2012)
- 2018 Physical Activity Guidelines Advisory Committee Scientific Report, "2018 Physical Activity Guidelines Advisory Committee", U.S. Department of Health and Human Services, ~ (2018)
- Global action plan for the prevention and control of noncommunicable diseases 2013-2020, "WHO", World Health Organization, ~ (2013)
- Holtermann A, "The physical activity paradox : six reasons why occupational physical activity(OPA)does not confer the cardiovascular health benefits that leisure time physical activity does", Br J Sports Med, 52(3), pp.149~150 (2018)
- Bronfenbrenner U, "Toward an experimental ecology of human development", American Psychologist, 32(7), pp.513~531 (1977)
- "2023 National Sports for All survey" (2023)[URL]
- Korea Health Statistics 2022: Korea National Health and Nutrition Examination Survey (KNHANES IX-1), "Korea Disease Control and Prevention Agency", ~ (2023)
- World Population Ageing 2019: Highlights, "United Nations", United Nations, Department of Economic and Social Affairs, Population Division, ~ (2019)
- National Health Insurance Service. Health Insurance Review and Assessment Service, "2022 National Health Insurance Statistical Yearbook", ~ (2022)
- Ding D, "The economic burden of physical inactivity : a global analysis of major non-communicable diseases", Lancet, 388(10051), pp.1311~1324 (2016)
- Davidson T, "Cardiorespiratory fitness versus physical activity as predictors of all-cause mortality in men", Am Heart J, 196, pp.156~162 (2018)
- Bachmann JM, "Cardiorespiratory fitness in middle age and health care costs in later life", J Am Coll Cardiol, 66(17), pp.1876~1885 (2015)
- Lee SH, "Association between cardiorespiratory fitness and healthcare costs in adults using the criterion referenced fitness thresholds : the Korea Institute of Sport Science Fitness Standards Study", Exerc Sci, 30(4), pp.501~509 (2021)
- Carlson SA, "Inadequate physical activity and health care expenditures in the United States", Prog Cardiovasc Dis, 57(4), pp.315~323 (2015)
- Kim YR, "The relationship among the sports-for-all participation, health status, and medical expense of elderly", Korean J Sport Sci, 17(4), pp.125~137 (2006)
- Kim MH, "Physical activity participation and medical expenses among middle-aged and senior adults", Korean Journal of Adapted Physical Activity, 29(4), pp.189~199 (2021)
- Hagberg LA, "Cost-effectiveness of healthcare-based interventions aimed at improving physical activity", Scand J Public Health, 34(6), pp.641~653 (2006)
- 2023 Physical Fitness Measure Statistics, "Ministry of Culture, Sports and Tourism", ~ (2023)
- Ra GW, "A comparative study of factors affecting on the household health expenditure between young-old and old-old age groups", Korean Journal of Health Economics and Policy, 23(2), pp.37~60 (2017)
- Choi YK, "Impact of longevity risks on the korean government : proposing a new mortality forecasting model", Korean Economic Review, 36(1), pp.201~225 (2020)
- Humphreys BR, "Physical activity and health outcomes : evidence from Canada", Health Econ, 23(1), pp.33~54 (2014)
- Sari N, "Sports, exercise, and length of stay in hospital : is there a differential effect for the chronically ill people?", Contemp Econ Policy, 32(2), pp.247~260 (2014)
- Morseth B, "Physical activity, resting heart rate, and atrial fibrillation : the TromsøStudy", Eur Heart J, 37(29), pp.2307~2313 (2016)
- Chun S, "The relationship between leisure-time sport participation and health care costs among : Korean baby boomers and older people", KSLRP, 45(3), pp.67~76 (2021)
- Lee Y, "An analysis on the participation determinants of physical activities : a Pseudo-Panel Data Approach", Journal of Korean Society of Sport Policy, 17(3), pp.61~75 (2019)
- Mitchell TL, "Effects of cardiorespiratory fitness on healthcare utilization", Med Sci Sports Exerc, 36(12), pp.2088~2092 (2004)
- Wang Y, "Association between cardiorespiratory fitness and health care costs in hypertensive men", Atherosclerosis, 331, pp.1~5 (2021)
- Myers J, "Cardiorespiratory fitness and health care costs in diabetes : the Veterans Exercise Testing Study", Am J Med, 132(9), pp.1084~1090 (2019)