Evidence map›Paper›PMID 39720425›Full record

ArticleFrontiers in psychiatry2024

The protective role of employment in depression: insights from 2005 to 2018 NHANES information.

Fang Li, Zheng Chu

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. New-onset depression following anterior cervical discectomy and fusion or cervical artificial disc replacement: a retrospective cohort study using a multi-institutional claims database.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Observational
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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.

Fang Li *Department of Marxism, Xuzhou Medical University, Xuzhou, Jiangsu, China.
Zheng Chu *Department of Forensic Medicine, Xuzhou Medical University, Xuzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression is closely associated with employment status, which serves as a complex social determinant. This study explores the relationship between employment status and depression. Methods: Data from the National Health and Nutrition Examination Survey (NHANES) spanning 2005 to 2018 were analyzed. The study included 29,452 participants aged 20 and older with complete data on employment and depression. Logistic regression models were applied to examine the association between employment and depression, adjusting for covariates such as age, gender, ethnicity, marital status, education, poverty-to-income ratio (PIR), BMI, diabetes, hypertension, smoking, and alcohol status. Results: The study revealed an overall depression prevalence of 8.61%, with significant variation across employment statuses-non-employed (11.77%), part-time (6.58%), and full-time (4.52%) workers. Employed individuals, particularly those in the 40-59 age group and with lower PIRs, showed reduced odds of depression (OR 0.42, 95% CI: 0.36-0.48, p=0.000). Stratified analyses confirmed lower depression odds for employed individuals regardless of gender or marital status. Conclusion: Employment status has a significant impact on depression risk, with full-time work showing the strongest protective effect against depressive symptoms. The study underscores the role of sociodemographic factors in depression and highlights the need for policies promoting stable employment and mental health support, especially for economically vulnerable groups.

Indexed as

depressionemploymentmental health policyNHANESpoverty-to-income ratio (PIR)sociodemographic factors

Identifiers

PMID39720425
PMCPMC11667109

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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.