Evidence map›Paper›PMID 42826323›Full record

ArticleMedicine2026

The association between occupational categories, working hours, and depression: A cross-sectional study in the United States.

Wen-Jing Sun, Wen-Yao Cui

Abstract read
In one paragraph

Article in Medicine, 2026. 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

2 authors.

Wen-Jing SunDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0003-1865-0098
Wen-Yao CuiDepartment of Neurosurgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression has become a major public health concern impacting population health. This study aims to investigate the associations between occupation categories, working hours, and depression among United States workers. This cross-sectional study utilized data from the National Health and Nutrition Examination Survey between 2005 and 2014. Depression was assessed using the Patient Health Questionnaire-9. Weighted multivariable logistic regression was employed to examine the association between occupation categories and depression. The relationship between working hours and depression across different occupation categories was analyzed using restricted cubic splines regression. Stratified analysis was conducted by categorizing weekly working hours into 3 groups (< 35 hours/week, 35 to 40 hours/week, and > 40 hours/week). This study included 12,062 participants, representing a weighted population of 114,509,270 individuals. Compared to the business and management industry, the following occupation categories showed significantly higher depression risks only observed in the unadjusted model: production and transportation (odds ratio [OR]: 1.81, 95% confidence interval [CI]: 1.25-2.63), sales and service (OR: 2.10, 95% CI: 1.42-3.11), and administration and healthcare (OR: 1.57, 95% CI: 1.09-2.27). The restricted cubic spline regression revealed a significant nonlinear relationship between working hours and depression risk (P < .01). Occupation categories and working hours are significant factors influencing depression among United States workers. Public health policies and workplace interventions should target high-risk occupational groups with regulated working hours to mitigate the burden of work-related depression effectively.

Indexed as

DepressionOccupationsWork Schedule ToleranceAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsUnited StatesWorking Conditionscross-sectional studydepressionoccupation categoriesworking hours

Identifiers

PMID42826323
PMCPMC13632964

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.