Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models
| Autor: | Myeong Seob Lim, Ju Hyun Nam, Hyun Kyeong Choi, Sung Kyeong Kim, Hee Tae Kang, Jae Yeop Kim, Sang Baek Koh, Sung Soo Oh |
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| Rok vydání: | 2017 |
| Předmět: |
Gerontology
ARIRANG cohort Population Psychological intervention Stress 03 medical and health sciences 0302 clinical medicine Medicine 030212 general & internal medicine education Exercise Generalized estimating equation Population-based study education.field_of_study Sleep duration business.industry Public Health Environmental and Occupational Health Repeated measures design Odds ratio Industrial medicine. Industrial hygiene Sedentary time RC963-969 Cohort Public aspects of medicine RA1-1270 Rural area business Psychosocial 030217 neurology & neurosurgery Research Article Demography |
| Zdroj: | Annals of Occupational and Environmental Medicine, Vol 29, Iss 1, Pp 1-12 (2017) Annals of Occupational and Environmental Medicine |
| ISSN: | 2052-4374 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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