Association between job types of economically active population and sleep appropriateness among South Koreans

국내 경제활동 인구의 직업유형별 적정수면과의 연관성

  • Kim, Sun Jung (Department of Health Administration and Management, College of Medical Science, Soonchunhyang University) ;
  • Kim, Dong Jun (Department of Health Administration and Management, Graduate School of Soonchunhyang University) ;
  • Gim, Eun Na (Research Institute for Health and Welfare on Aged society, Namseoul University) ;
  • Yu, Tae Gyu (Department of Elderly Welfare, Namseoul University)
  • 김선정 (순천향대학교 의료과학대학 보건행정경영학과) ;
  • 김동준 (순천향대학교 일반대학원 보건행정경영학과) ;
  • 김은나 (남서울대학교 고령사회보건복지연구소) ;
  • 유태규 (남서울대학교 노인복지학과)
  • Received : 2020.05.15
  • Accepted : 2020.09.15
  • Published : 2020.09.30

Abstract

Background: As of 2016, average Koreans sleep 7 hours and 42 minutes, the lowest figure among Organization for Economic Cooperation and Development(OECD) countries, and the number of people with sleep disorders reached 561,000. Accordingly, the government has promoted the provision of 'Multiple Sleep Test' to strengthen the diagnosis service for patients with 'sleep disorder' in july 2018. As a result, healthcare costs for patients with sleep disorder is on the rise every year. In this study, we utilized 'Appropriate Sleep' criteria of United States's National Sleep Foundation(NSF) then investigated Korean's sleep pertinence using 「7th National Health and Nutrition Survey for 2016-2018」 by different occupational type, demographic characteristics, socio-economic characteristics, and health behaviors. Methods: We performed descriptive analysis to examine differences of sleep appropriateness by various sample characteristics. Multivariate logistic regression models were used to examine sleep appropriateness by occupational type and other variables. We also analyzed subgroup models to investigate. Results: As a result, a total of 1,948 (18.37%) study subjects experienced in-appropriate sleep. Results of the Multivariate logistic regression analysis revealed that blue color group had a higher odds ratio (OR) for experiencing in-appropriate sleep (OR=1.179). In addition, the odds ratio of experienced in-appropriate sleep among the elderly aged 70 and over was 2.698, and the odds ratio of the overstressed group was 1.299. Furthermore, sub-group analysis showed that blue color job of female(Or=1.334), high school or below(OR=1.404), divorce/death/separation(OR=2.039), 25%ile-50%lie income group(OR=1.411) more likely experienced in-appropriate sleep. Conclusion: Growing sleep disorder patients and related health care costs are expected. Government should apply detailed 'total periodic sleep disorder management policy' including pre-consultation, examination, diagnosis, treatment, post-consultation, self-management especially to vulnerable population that this study found.

Keywords

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