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Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models
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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664797/ https://www.ncbi.nlm.nih.gov/pubmed/29118991 http://dx.doi.org/10.1186/s40557-017-0209-5 |
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author | Nam, Ju-Hyun Lim, Myeong-Seob Choi, Hyun-Kyeong Kim, Jae-Yeop Kim, Sung-Kyeong Oh, Sung-Soo Koh, Sang-Baek Kang, Hee-Tae |
author_facet | Nam, Ju-Hyun Lim, Myeong-Seob Choi, Hyun-Kyeong Kim, Jae-Yeop Kim, Sung-Kyeong Oh, Sung-Soo Koh, Sang-Baek Kang, Hee-Tae |
author_sort | Nam, Ju-Hyun |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5664797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56647972017-11-08 Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models Nam, Ju-Hyun Lim, Myeong-Seob Choi, Hyun-Kyeong Kim, Jae-Yeop Kim, Sung-Kyeong Oh, Sung-Soo Koh, Sang-Baek Kang, Hee-Tae Ann Occup Environ Med Research Article 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. BioMed Central 2017-10-31 /pmc/articles/PMC5664797/ /pubmed/29118991 http://dx.doi.org/10.1186/s40557-017-0209-5 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Nam, Ju-Hyun Lim, Myeong-Seob Choi, Hyun-Kyeong Kim, Jae-Yeop Kim, Sung-Kyeong Oh, Sung-Soo Koh, Sang-Baek Kang, Hee-Tae Factors increasing the risk for psychosocial stress among Korean adults living in rural areas: using generalized estimating equations and mixed models |
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 | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5664797/ https://www.ncbi.nlm.nih.gov/pubmed/29118991 http://dx.doi.org/10.1186/s40557-017-0209-5 |
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