성향점수매칭을 활용한 직업군인 건강행동 분석
An analysis of health behavior among professional military personnel using propensity score matching
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Objectives: The aims of this study are to examine the differences in health behavior practices between the civilian personnel and professional military personnel when the sociodemographic characteristics of two groups are matched and to identify the factors associated with the health behavior practice of the military personnel. Methods: Using the propensity score matching (PSM) method, subjects (679 civilian personnel and military personnel each) under study were drawn from the 2017 Community Health Survey data in Korea, Practices of health behaviors were measured by Alameda 7. Results: The practice of health behavior of the military personnel before using PSM was worse than that of the civilian personnel, but after using PSM, the health behaviors of the military personnel were better than that of the civilian personnel. Some sociodemographic characteristics including gender, age and educational level were associated with variance of practices of health behavior. Conclusion: This study showed that the level of health behavior practice of the military personnel were better than that of civilian personnel after matching sociodemographic characteristics. Some policy implications were discussed.
Abstract
Objectives: The aims of this study are to examine the differences in health behavior practices between the civilian personnel and professional military personnel when the sociodemographic characteristics of two groups are matched and to identify the factors associated with the health behavior practice of the military personnel. Methods: Using the propensity score matching (PSM) method, subjects (679 civilian personnel and military personnel each) under study were drawn from the 2017 Community Health Survey data in Korea, Practices of health behaviors were measured by Alameda 7. Results: The practice of health behavior of the military personnel before using PSM was worse than that of the civilian personnel, but after using PSM, the health behaviors of the military personnel were better than that of the civilian personnel. Some sociodemographic characteristics including gender, age and educational level were associated with variance of practices of health behavior. Conclusion: This study showed that the level of health behavior practice of the military personnel were better than that of civilian personnel after matching sociodemographic characteristics. Some policy implications were discussed.
참고문헌 (32)
- Byeon, S. G., "A study of differences in obesity prevalence and blood lipid level depending on a combat force’s characteristics", The Journal of Korean Military Medical Association, 47(1), pp.189~196 (2016)
- Chang, T. H., "Survey research for health behaviors and medical care service utilization of active duty of soldiers(By using 2015 Military Health Survey)", The Journal of Korean Military Medical Association, 47(1), pp.197~211 (2016)
- Chang, T. H., "Survey research for health behaviors and medical care service utilization of active duty soldier(By using 2014 Military Health Survey)", The Journal of Korean Military Medical Association, 46(1), pp.149~162 (2015)
- Cockerham, W. C., "Medical Sociology" (2017), Routledge
- William C. Cockerham, "Health Lifestyle Theory and the Convergence of Agency and Structure", Journal of Health and Social Behavior, 46(1), pp.51~67 (2005), SAGE Publications[DOI]
- Nida H. Corry, "Association of military life experiences and health indicators among military spouses", BMC Public Health, 19(1), pp.1~14 (2019), Springer Science and Business Media LLC[DOI]
- Sleep and performance measures in soldiers undergoing military relevant training, "Defense Technical Information Center", U.S Army Aeromedical Research Laboratory, ~ (2009)
- Gebhardt, W. A., "The Revised Health Hardiness Inventory(RHHI-24) : Psychometric properties and relationship with self-reported health and health behavior in two Dutch samples", Health Education Research, 6(5), pp.579~592 (2001)[DOI]
- Guo, S., "Propensity score analysis : Statistical methods and applications" (2010), Sage Publication
- Jeffrey P. Haibach, "Military and veteran health behavior research and practice: challenges and opportunities", Journal of Behavioral Medicine, 40(1), pp.175~193 (2017), Springer Science and Business Media LLC[DOI]
- 한동주, "직업군인의 복지제도가 직무만족도에 미치는 영향: 사기진작의 매개효과를 중심으로", 한국공공관리학보, 32(4), pp.51~78 (2018), 한국공공관리학회[DOI]
- 홍은지, "육군 병사의 수면과 피로가 건강증진행위에 미치는 영향", 성인간호학회지, 28(1), pp.106~115 (2016), 한국성인간호학회[DOI]
- Jeff Housman, "The Alameda County Study: A Systematic, Chronological Review", American Journal of Health Education, 36(5), pp.302~308 (2013), Informa UK Limited[DOI]
- Research on the health behaviors of military personnel: Systematic literature review, "Joe, S. Y.", ~ (2011)
- 정윤경, "노년기 건강검진과 건강행동의 관계에 대한 종단적 연구", 보건정보통계학회지, 43(1), pp.26~34 (2018), 한국보건정보통계학회[DOI]
- 김봉정, "남자 직업군인의 건강수준 관련 요인", 보건교육건강증진학회지, 26(3), pp.49~62 (2009), 한국보건교육건강증진학회
- Kim, K. K., "Alcohol Policy and Gender", pp.39~74 (2020), Gendered Innovation in Science, Health & Medicine, Engeneering and Environment
- 김광기, "건강도시와 건강증진의 관계 정립 및 국민건강증진법 개정 방향", 보건교육건강증진학회지, 36(5), pp.87~98 (2019), 한국보건교육건강증진학회[DOI]
- Kim, M. R., "A study on the body mass index and physique on some soldiers", The Journal of Korean Military Medical Association, 51(1), pp.211~222 (2020)
- 김소연, "성향 점수를 이용한 퍼지 매칭 방법: IBM SPSS 22 Ver.", 한국데이터정보과학회지, 27(1), pp.91~100 (2016), 한국데이터정보과학회[DOI]
- 김영주, "남녀별 독거노인과 동거노인의 건강습관, 스트레스, 우울, 자살생각 비교", 기본간호학회지, 16(3), pp.333~344 (2009), 기본간호학회
- Korea Centers For Disease Control and Prevention, "Community health survey, 2014", Korea Center for Disease Control and Prevention, ~ (2016)
- Korea Centers For Disease Control and Prevention, "Community health survey, 2015", Korea Center for Disease Control and Prevention, ~ (2017)
- Korea Centers For Disease Control and Prevention, "Community health survey, 2017", Korea Center for Disease Control and Prevention, ~ (2018)
- Shiriki K. Kumanyika, "A Framework for Increasing Equity Impact in Obesity Prevention", American Journal of Public Health, 109(10), pp.1350~1357 (2019), American Public Health Association[DOI]
- Lee, J. H., "(A) study on the influence factors to the health practices behaviors of the military officer and NCO's", Master, pp.2001
- David D. Luxton, "Prevalence and Impact of Short Sleep Duration in Redeployed OIF Soldiers", Sleep, 34(9), pp.1189~1195 (2011), Oxford University Press (OUP)[DOI]
- Mantua, J., "A Review of environmental barriers to obtaining adequate sleep in the military operational context", Military Medicine, 184(7-8), pp.e259~e266 (2019)[DOI]
- Meadows, S. O., "2015 Department of Defense Health Related Behaviors Survey(HRBS)", Santa Monica, ~ (2018)
- 오유미, "국가 건강증진정책목표 달성을 위한 성과평가에 관한 연구 : 제4차 국민건강증진종합계획을 중심으로", 보건교육건강증진학회지, 35(4), pp.19~34 (2018), 한국보건교육건강증진학회[DOI]
- 박정숙, "논문취소: 한국 육군 간부의 비만 정도와 비만 예측요인", 성인간호학회지, 28(5), pp.608~608 (2016), 한국성인간호학회[DOI]
- Amber D. Seelig, "Sleep and Health Resilience Metrics in a Large Military Cohort", Sleep, 39(5), pp.1111~1120 (2016), Oxford University Press (OUP)[DOI]