Evidence map›Paper›PMID 29511008›Full record

ArticleBMJ open2018

Relationship between stress-related psychosocial work factors and suboptimal health among Chinese medical staff: a cross-sectional study.

Ying-Zhi Liang, Xi Chu, Shi-Jiao Meng, Jie Zhang, Li-Juan Wu, Yu-Xiang Yan

Abstract readValidation Study
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

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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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Ying-Zhi Liang *Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Xi Chu *Health Management Center, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shi-Jiao MengDepartment of Education, Tiantan Hospital, Capital Medical University, Beijing, China.
Jie ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Li-Juan WuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Yu-Xiang YanDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe study aimed to develop and validate a model to measure psychosocial factors at work among medical staff in China based on confirmatory factor analysis (CFA). The second aim of the current study was to clarify the association between stress-related psychosocial work factors and suboptimal health status.

designThe cross-sectional study was conducted using clustered sampling method.

settingXuanwu Hospital, a 3A grade hospital in Beijing.

participantsNine hundred and fourteen medical staff aged over 40 years were sampled. Seven hundred and ninety-seven valid questionnaires were collected and used for further analyses. The sample included 94% of the Han population.

main outcome measuresThe Copenhagen Psychosocial Questionnaire (COPSOQ) and the Suboptimal Health Status Questionnaires-25 were used to assess the psychosocial factors at work and suboptimal health status, respectively. CFA was conducted to establish the evaluating method of COPSOQ. A multivariate logistic regression model was used to estimate the relationship between suboptimal health status and stress-related psychosocial work factors among Chinese medical staff.

resultsThere was a strong correlation among the five dimensions of COPSOQ based on the first-order factor model. Then, we established two second-order factors including negative and positive psychosocial work stress factors to evaluate psychosocial factors at work, and the second-order factor model fit well. The high score in negative (OR (95% CI)=1.47 (1.34 to 1.62), P<0.001) and positive (OR (95% CI)=0.96 (0.94 to 0.98), P<0.001) psychosocial work factors increased and decreased the risk of suboptimal health, respectively. This relationship remained statistically significant after adjusting for confounders and when using different cut-offs of suboptimal health status.

conclusionsAmong medical staff, the second-order factor model was a suitable method to evaluate the COPSOQ. The negative and positive psychosocial work stress factors might be the risk and protective factors of suboptimal health, respectively. Moreover, negative psychosocial work stress was the most associated factor to predict suboptimal health.

Indexed as

Health StatusJob SatisfactionModels, BiologicalAdultAgedBeijingBurnout, ProfessionalCross-Sectional StudiesFemaleHumansLogistic ModelsMaleMedical Staff, HospitalMiddle AgedOccupational HealthOccupational Stressconfirmative factor analysismedical staffpsychosocial stresssuboptimal health

Identifiers

PMID29511008
PMCPMC5855386

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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.