Evidence map›Paper›PMID 39905307›Full record

ArticleBMC geriatrics2025

Association of workforce participation with depression among US older adults: results from NHANES 2005-2018.

Zhenyu Sun, Yi Wang, Xi Chen, Dongfu Qian

Abstract read
In one paragraph

Article in BMC geriatrics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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.

Zhenyu SunSchool of Health Policy & Management, Nanjing Medical University, Nanjing, 211166, China.
Yi WangSchool of Medicine, Yale University, New Haven, CT, 06511, USA.
Xi ChenSchool of Public Health, Yale University, New Haven, CT, 06510, USA. xi.chen@yale.edu.
Dongfu QianSchool of Health Policy & Management, Nanjing Medical University, Nanjing, 211166, China. dqian@njmu.edu.cn.

Funding

A Life Course Approach to Understanding Racial and Ethnic Disparities in Alzheimer's Disease and Related Dementias and Health CareR01AG077529 · NIA · YALE UNIVERSITY · PI Xi Chen · 2022 to 2026
$3.6M
National Natural Science Foundation of China 72374110NIA NIH HHS R01 AG077529Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX23_1900
6 · The paper itself

Abstract

backgroundThe challenges of global aging would boost more workforce participation of older adults, and depression rate was increasing among older adults. This study aimed to explore the associations of workforce participation with depression among US older adults.

methodsThis cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) 2005-2018. Depression was measured with Patient Health Questionnaire-9 items (PHQ-9). Workforce participation was measured with work status, work types, shift work, and hours worked per week. Multivariate generalised linear and logistic regression models, also with restricted cubic spline (RCS) were performed to examine linear or non-linear associations between workforce participation and depression. Analyses of subgroup and sensitivity were conducted: using data from non-multiple imputation, participants aged over 65, and all non-excluded participants aged 60 or above to execute repeated analysis; recruiting propensity score matching (PSM) method that focused on selected SDoH, lifestyle, and health status-related factors to strengthen essential comaparability between workers and non-workers; employing two-stage least squares (2SLS) model and setting retirement age (over 65 years or not) as an instrumental variable (IV) to solve the potential reverse causation between work status and depression.

resultsA total of 10,312 participants aged 60 or above were enrolled with a prevalence of depression of 6.4%. There was a significantly negative association of PHQ-9 score with working (Exp [β] = 0.68; 95%CI: 0.53-0.87), working as private employee (Exp [β] = 0.67; 95%CI: 0.50-0.89), or working on regular daytime (Exp [β] = 0.65; 95%CI: 0.52-0.82). Especially, regular daytime working reduced depression risk by 52% compared with those who not working (OR = 0.48; 95%CI: 0.27-0.87). A significant decreased PHQ-9 score and depression risk as hours worked per week increased until reaching 34.86 and 25.35 in the RCS for generalised linear and logistic regression models, respectively. These effects were consistent across the analyses of subgroup and sensitivity.

conclusionsRegular daytime working was positively related to decreased depression risk among US older adults, and the suggested optimal working hours were 25 to 35 per week. Policymakers should appreciate the potential value of moderate workforce participation to mental health among older adults.

Indexed as

DepressionEmploymentAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedNutrition SurveysRetirementUnited StatesCross-sectional studyDepression riskLabor force participationOlder adults

Identifiers

PMID39905307
PMCPMC11792604

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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.