Evidence map›Paper›PMID 40427811›Full record

ArticleInternational journal of environmental research and public health2025

Depressive Symptoms Among South African Construction Workers: Associations with Demographic, Social and Work-Related Factors, and Substance Use.

Rita Peihua Zhang, Paul Bowen, Peter Edwards

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rita Peihua ZhangSchool of Property, Construction and Project Management, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.
Paul BowenDepartment of Construction Economics and Management, University of Cape Town, Private Bag X3, Rondebosch, Cape Town 7701, South Africa.ORCID 0000-0003-1471-623X
Peter EdwardsSchool of Property, Construction and Project Management, RMIT University, GPO Box 2476, Melbourne, VIC 3001, Australia.

Funding

National Research Foundation 85376
6 · The paper itself

Abstract

The construction industry exhibits higher rates of depression in its workforce compared to other industries. This study investigates the association between the prevalence of depressive symptoms and various demographic (e.g., age, ethnicity, education), social, and work-related factors (e.g., relationship status, living environment, work situation) and behavioural factors (e.g., alcohol and drug use). Survey data collected from 496 male construction workers working in the Western Cape were analysed using binomial logistic regression to determine the associations. The results showed that 'Black African' construction workers exhibited lower levels of depressive symptoms than 'Other' ethnic groups, and workers with at least secondary education had the highest levels of depressive symptoms compared to workers with other levels of education. Workers who were single or living with other adults without children had a significantly higher risk of depression compared to those in other forms of family relationships. Substance use was found to be associated with lower levels of depressive symptoms, suggesting that construction workers use alcohol and drugs as a coping strategy for short-term depressive symptom reduction. Construction organisations should develop strategies to protect the mental health of construction workers, particularly those who are prone to depression.

Indexed as

Construction IndustryDepressionSubstance-Related DisordersAdolescentAdultHumansMaleMiddle AgedPrevalenceRisk FactorsSouth AfricaYoung Adultdepressive symptomsdeterminantsmale construction workersSouth Africa

Identifiers

PMID40427811
PMCPMC12110885

What OpenQuestion holds

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Registered trials

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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.