Evidence map›Paper›PMID 35016661›Full record

ArticleBMC psychiatry2022

Mental health status among prison officers in the process of enforcing the law during COVID-19epidemic: a cross-sectional survey from China.

Yang Li, Zhen Wen, Yimei He, Jingting Huang

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Article in BMC psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yang LiSchool of Law, Minzu University of China, Beijing, 100081, People's Republic of China.
Zhen WenDepartment of General Surgery, Chengdu Third People's Hospital, Chengdu, 610031, People's Republic of China.
Yimei HeDong Cheng Experimental Junior Middle School, Guangyuan, 628017, People's Republic of China.
Jingting HuangWest China School of Medicine, Sichuan University, Chengdu, 610041, People's Republic of China. hjt897832534@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA global public health emergency triggered by the Coronavirus Disease 2019 (COVID-19) epidemic may have are markable psychological impact on the population. There is still limited psychological research on police officers, especially prison officers in the process of enforcing the law. The present study aims to identify prevalence and influencing factors on mental health status among frontline prison officers in China during the prevention and control of the COVID-19 epidemic.

methodsA cross-sectional survey with a sample of 981 frontline prison officers was conducted using snowball sampling approach. The self-administered questionnaire consisted of 4 parts: (i) informed consent form; (ii) socio-demographic section; (iii) work and life situations during the prevention and control of the COVID-19 epidemic; (iv) the Chinese version of the 12-item General Health Questionnaire (GHQ-12). Univariate analysis and multivariable logistic regression were performed to identify factors influencing mental health status.

resultsThe prevalence of being prone to mental health problems (GHQ-12 score ≥ 4) was 33.43% among frontline prison officers. The results of GHQ-12 factors analysis indicated that the prison officers suffered from psychological issues was related to anxiety and depression, which main symptoms were unhappy and depressed, lost sleep over worry and constantly under strain. Multivariate logistic regression analysis revealed that male (OR = 1.573, 95% CI:1.385-1.853), lockdown shift inside the prison(OR = 2.203, 95% CI:2.139-2.297), more night shifts (OR = 2.163, 95% CI:2.031-2.317; OR = 2.749, 95% CI:2.194-2.901), more smoking (OR = 1.100, 95% CI:1.037-2.168), poor self-reported physical condition (OR = 1.947, 95% CI:1.478-2.250), chronic or serious illness history(OR = 1.870, 95% CI:1.314-2.660; OR = 2.214, 95% CI:1.460-2.812) were risk factors for mental health among frontline prison officers, while regular diet (OR = 0.779, 95% CI:0.539-0.928), more physical exercise (OR = 0.702, 95% CI:0.548-0.899; OR = 0.641, 95% CI:0.316-0.887), more communication with family members (OR = 0.437, 95% CI:0.295-0.616) were protective factors.

conclusionChinese frontline prison officers experienced different psychological stress coming from the prevention and control of this epidemic. Therefore, continued surveillance of psychological problems and targeted mental health care for frontline prison officers were urgent.

Indexed as

COVID-19PrisonsAnxietyChinaCommunicable Disease ControlCross-Sectional StudiesDepressionHealth StatusHumansMaleSARS-CoV-2Surveys and QuestionnairesAdministrative governanceCOVID-19Execution of punishmentFrontline prison officersMental health

Identifiers

PMID35016661
PMCPMC8749117

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.