Factors increasing the risk for psychosocial stress among Korean adults living in rural areas : using generalized estimating equations and mixed models :using generalized estimating equations and mixed models

Ju-Hyun Nam; Myeong-Seob Lim; Hyun-Kyeong Choi; Jae-Yeop Kim; Sung-Kyeong Kim; Sung-Soo Oh; Sang-Baek Koh; Hee-Tae Kang

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자료유형: 학술저널

저자정보: Ju-Hyun Nam (Yonsei University) Myeong-Seob Lim (Yonsei University) Hyun-Kyeong Choi (Yonsei University) Jae-Yeop Kim (Yonsei University) Sung-Kyeong Kim (Yonsei University) Sung-Soo Oh (Yonsei University) Sang-Baek Koh (Yonsei University) Hee-Tae Kang (Yonsei University)

저널정보: 대한직업환경의학회 대한직업환경의학회지 대한직업환경의학회지 제29권 제7호

발행연도: 2017.11

수록면: 92 - 103 (12page)

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Background: This study was conducted to analyze the distribution of the psychosocial well-being index among adults living in two rural communities in Korea and to examine its correlation with lifestyle variables such as sleep duration, regular exercise, and sedentary time.
Methods: Using the cohort data of the Atherosclerosis Risk of a Rural Area Korean General Population, this study examined 3631 participants living in Wonju and Pyeongchang in Gangwon Province; their preliminary data were established from 2005 to 2007 while their follow-up data were collected 3 years later. This study investigated demographic characteristics, lifestyle habits, disease history, Psychosocial Well-being Index-Short Form (PWI-SF) scores, sleep duration, regular exercise, and sedentary time during work. Using repeated measures ANOVA, this study examined how the variables and PWI-SF scores changed over the course of 3 years and identified the correlation between them based on mixed model analysis. Afterwards, using the generalized estimation equation, this study identified each variable’s risk towards the PWI-SF high-risk group and performed a stratified analysis by occupation after dividing the participants into farmers and non-farmers.
Results: The PWI-SF high-risk group was found to be 18.9% of the participants from preliminary data and 15.5% from follow-up data. The odds ratio towards the PWI-SF high-risk group was 1.503 (95% CI 1.241–1.821) in the short sleep duration group and 1.327 (95% CI 1.136–1.550) in the non-regular exercise group. A stratified analysis by occupation showed that middle and long sedentary time in the white-collar group increased the risk toward the PWI-SF high-risk group.
Conclusions: Short sleep duration, no regular exercise, and long sedentary time in the white-collar group were identified as risk factors toward the PWI-SF high-risk group in the rural communities, and policy interventions are needed to address this issue.

#Sleep duration #Exercise #Sedentary time #Stress #Population-based study #ARIRANG cohort

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