Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models
Abstract 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...
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| Format: | Article |
| Language: | English |
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Korean Society of Occupational & Environmental Medicine
2017-10-01
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| Series: | Annals of Occupational and Environmental Medicine |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40557-017-0209-5 |
| _version_ | 1811236729821069312 |
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| author | Ju-Hyun Nam Myeong-Seob Lim Hyun-Kyeong Choi Jae-Yeop Kim Sung-Kyeong Kim Sung-Soo Oh Sang-Baek Koh Hee-Tae Kang |
| author_facet | Ju-Hyun Nam Myeong-Seob Lim Hyun-Kyeong Choi Jae-Yeop Kim Sung-Kyeong Kim Sung-Soo Oh Sang-Baek Koh Hee-Tae Kang |
| author_sort | Ju-Hyun Nam |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-04-12T12:14:09Z |
| format | Article |
| id | doaj.art-02ea3cf7c1514c51b8fa1407c9484889 |
| institution | Directory Open Access Journal |
| issn | 2052-4374 |
| language | English |
| last_indexed | 2024-04-12T12:14:09Z |
| publishDate | 2017-10-01 |
| publisher | Korean Society of Occupational & Environmental Medicine |
| record_format | Article |
| series | Annals of Occupational and Environmental Medicine |
| spelling | doaj.art-02ea3cf7c1514c51b8fa1407c94848892022-12-22T03:33:29ZengKorean Society of Occupational & Environmental MedicineAnnals of Occupational and Environmental Medicine2052-43742017-10-0129111210.1186/s40557-017-0209-5Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed modelsJu-Hyun Nam0Myeong-Seob Lim1Hyun-Kyeong Choi2Jae-Yeop Kim3Sung-Kyeong Kim4Sung-Soo Oh5Sang-Baek Koh6Hee-Tae Kang7Department of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityDepartment of Occupational and Environmental Medicine, Wonju Severance Christian Hospital, Wonju College of Medicine, Yonsei UniversityAbstract 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.http://link.springer.com/article/10.1186/s40557-017-0209-5Sleep durationExerciseSedentary timeStressPopulation-based studyARIRANG cohort |
| spellingShingle | Ju-Hyun Nam Myeong-Seob Lim Hyun-Kyeong Choi Jae-Yeop Kim Sung-Kyeong Kim Sung-Soo Oh Sang-Baek Koh Hee-Tae Kang Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models Annals of Occupational and Environmental Medicine Sleep duration Exercise Sedentary time Stress Population-based study ARIRANG cohort |
| title | Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
| title_full | Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
| title_fullStr | Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
| title_full_unstemmed | Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
| title_short | Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
| title_sort | factors increasing the risk for psychosocial stress among korean adults living in rural areas using generalized estimating equations and mixed models |
| topic | Sleep duration Exercise Sedentary time Stress Population-based study ARIRANG cohort |
| url | http://link.springer.com/article/10.1186/s40557-017-0209-5 |
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