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Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China

Prison medical workers (PMWs) are critically important, but they are also vulnerable to psychological problems. Currently, there is no study on examining PMWs’ mental health conditions and possible influencing factors in China. Hence, we conducted this cross-sectional survey, aiming to understand th...

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Autores principales: Liu, Xiaojun, Jiang, Dongdong, Hou, Zhaoxun, He, Meikun, Lu, Yuanan, Mao, Zongfu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750878/
https://www.ncbi.nlm.nih.gov/pubmed/29186861
http://dx.doi.org/10.3390/ijerph14121459
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author Liu, Xiaojun
Jiang, Dongdong
Hou, Zhaoxun
He, Meikun
Lu, Yuanan
Mao, Zongfu
author_facet Liu, Xiaojun
Jiang, Dongdong
Hou, Zhaoxun
He, Meikun
Lu, Yuanan
Mao, Zongfu
author_sort Liu, Xiaojun
collection PubMed
description Prison medical workers (PMWs) are critically important, but they are also vulnerable to psychological problems. Currently, there is no study on examining PMWs’ mental health conditions and possible influencing factors in China. Hence, we conducted this cross-sectional survey, aiming to understand the mental health status of the PMWs and related impact factors in Jiangxi province of China. We employed the Chinese version of the Symptom Checklist-90-R (SCL-90-R) to assess the mental disorders and psychological health conditions of PMWs in Jiangxi. The t tests were used to compare the differences for the average score of SCL-90-R between the Chinese general population and targeted PMWs of this study. Multivariable logistic regression analyses were conducted to identify the main factors associated with overall detection rate of PMWs’ psychological health conditions. The scores of four dimensions (somatization, obsessive-compulsive symptoms, anxiety, and paranoid ideation) were significantly higher than the Chinese national norm, and the total positive rate was 49.09% among the PMWs. Gender, marital status, age, and length of employment are identified to be the most significant predictors to affect PMWs’ mental health. Positive correlations between each of the nine dimensions of the SCL-90-R have been verified. This study demonstrated for the first time that PMWs are facing mental health risk and suffering serious psychological problems with psychopathology symptoms, which has become a growing concern in China. Our current findings suggest a need for more in-depth studies on this subject going forward to validate our conclusions and also to identify more impact factors, since such studies and knowledge of PMWs’ mental health and influencing factors are very limited in China.
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spelling pubmed-57508782018-01-10 Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China Liu, Xiaojun Jiang, Dongdong Hou, Zhaoxun He, Meikun Lu, Yuanan Mao, Zongfu Int J Environ Res Public Health Article Prison medical workers (PMWs) are critically important, but they are also vulnerable to psychological problems. Currently, there is no study on examining PMWs’ mental health conditions and possible influencing factors in China. Hence, we conducted this cross-sectional survey, aiming to understand the mental health status of the PMWs and related impact factors in Jiangxi province of China. We employed the Chinese version of the Symptom Checklist-90-R (SCL-90-R) to assess the mental disorders and psychological health conditions of PMWs in Jiangxi. The t tests were used to compare the differences for the average score of SCL-90-R between the Chinese general population and targeted PMWs of this study. Multivariable logistic regression analyses were conducted to identify the main factors associated with overall detection rate of PMWs’ psychological health conditions. The scores of four dimensions (somatization, obsessive-compulsive symptoms, anxiety, and paranoid ideation) were significantly higher than the Chinese national norm, and the total positive rate was 49.09% among the PMWs. Gender, marital status, age, and length of employment are identified to be the most significant predictors to affect PMWs’ mental health. Positive correlations between each of the nine dimensions of the SCL-90-R have been verified. This study demonstrated for the first time that PMWs are facing mental health risk and suffering serious psychological problems with psychopathology symptoms, which has become a growing concern in China. Our current findings suggest a need for more in-depth studies on this subject going forward to validate our conclusions and also to identify more impact factors, since such studies and knowledge of PMWs’ mental health and influencing factors are very limited in China. MDPI 2017-11-26 2017-12 /pmc/articles/PMC5750878/ /pubmed/29186861 http://dx.doi.org/10.3390/ijerph14121459 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Xiaojun
Jiang, Dongdong
Hou, Zhaoxun
He, Meikun
Lu, Yuanan
Mao, Zongfu
Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title_full Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title_fullStr Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title_full_unstemmed Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title_short Mental Health of the Prison Medical Workers (PMWs) and Influencing Factors in Jiangxi, China
title_sort mental health of the prison medical workers (pmws) and influencing factors in jiangxi, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5750878/
https://www.ncbi.nlm.nih.gov/pubmed/29186861
http://dx.doi.org/10.3390/ijerph14121459
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