Evidence map›Paper›PMID 36471297›Full record

ArticleBMC public health2022

Impact of job demands on police stress response-the roles of basic psychological needs and job autonomy.

Pei-Feng Chen, Lin Wu

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
24.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 32 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Pei-Feng ChenSchool of Public Policy and Administration, Chongqing University, Chongqing, China.
Lin WuSchool of Public Policy and Administration, Chongqing University, Chongqing, China. wulin1232022@163.com.
Chongqing University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPolice officers are a high-stress group with special job characteristics, and the Chinese police management system places particularly high demands on police officers. Whether the influence of job demands on officers' job burnout can be deduced to general stress response needs to be verified. Based on the JD-R model, the study aims to explore the impact of job demands on police stress response, whether job autonomy as a job resource has a moderating effect, and whether basic psychological needs mediate this effect.

methodsA total of 251 police officers in a district-level public security bureau of China, were surveyed using Chinese-language versions of the Job Demands Scale, the Stress Response Scale, the Job Autonomy Scale, and the Basic Psychological Needs Scale. The mediating effect of basic psychological needs and the moderating effect of job autonomy were tested by regression analysis and bootstrap test.

resultsJob demands increase police officers' stress response, and job autonomy does not play a buffer role but enhances this impact, and job demands can partially reduce the police stress response through the satisfaction of basic psychological needs, that is, there is a masking effect of basic psychological needs.

conclusionsAdjusting and optimizing the ratio of job demands and autonomy in police work to provide high guidance under high demands is of great value to reduce the negative stress responses among police officers.

Indexed as

Burnout, ProfessionalPoliceHumansJob SatisfactionPersonal SatisfactionStress, PsychologicalSurveys and QuestionnairesBasic psychological needsJob autonomyJob demandsPolice officersStress response

Identifiers

PMID36471297
PMCPMC9724338
OpenAlexW4311200878

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.