Evidence map›Paper›PMID 32753981›Full record

ArticlePsychology research and behavior management2020

Factors Influencing the Mental Health of Firefighters in Shantou City, China.

Xiaojun Chen, Lishao Zhang, Zhekuang Peng, Shaoxing Chen

Abstract read
In one paragraph

Article in Psychology research and behavior management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

4 authors.

Xiaojun ChenDepartment of Hospital Office, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.ORCID 0000-0002-2834-0766
Lishao ZhangDepartment of Hospital Office, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.
Zhekuang PengDepartment of Public Health, The Third Affiliated Hospital of SunYet-Sen University, Guangzhou, People's Republic of China.
Shaoxing ChenDepartment of Hospital Office, The First Affiliated Hospital of Shantou University Medical College, Shantou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundFirefighters are routinely exposed to occupational stress and are therefore vulnerable to psychological problems. PATIENTS AND

methodsThis study assessed the prevalence of mental health symptoms and potential contributing factors in a sample of firefighters in Shantou city, in the Guangdong Province of China. We conducted a cross-sectional survey with 335 firefighters, including 329 male and 6 female firefighters. We used a questionnaire which assessed anxiety and depression, as indicated by the Zung Self-Rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS), as well as other mental health symptoms, using the Symptom Checklist-90 (SCL-90). Basic information and potential-related factors were also collected.

resultsThe average age of participants was 27.38 (SD ± 6.11) years. Assessed by the indexed score of different scales, SAS and SDS positive screening rates were 6.86% and 22.68%, respectively. SCL-90 scores indicated that 6.86% of participants had mental health symptoms. Logistic regression analysis showed that educational level, firefighter rank, and birth order were associated with mental health outcomes. Firefighters in Shantou were also shown to have better mental health outcomes than the Chinese military, but worse than the national population of firefighters.

conclusionThese findings indicated the mental health of firefighters is not good. It is necessary to explore effective approaches to help preventing and treating mental disorder in firefighters.

Indexed as

anxietydepressionfirefighterinfluencing factorsmental health

Identifiers

PMID32753981
PMCPMC7342484

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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.