Evidence map›Paper›PMID 41559885›Full record

ArticleAmerican journal of industrial medicine2026

Transitions Between Forms of Employment Quality and Associations With Self-Rated Health and Mental Health in the United States, 2008-2022.

Eric W Lundstrom, Trevor Peckham, Vanessa M Oddo

Abstract read
In one paragraph

Article in American journal of industrial 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.

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0citing papers in PubMed
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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

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.

Eric W LundstromEpidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.ORCID 0000-0001-9776-0134
Trevor PeckhamHazardous Waste Management Program, King County, Seattle, Washington, USA.
Vanessa M OddoDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois Chicago, Chicago, Illinois, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

introductionA growing body of research is focused on the association between employment quality (EQ) and health, yet few studies have explored how transitions between types of EQ impact health in the United States (U.S.). Moreover, unemployed individuals are frequently omitted from EQ studies. The objective of this study was to assess how transitions between different EQ states, including unemployment, are associated with health in the U.S.

methodsUsing U.S. Medical Expenditure Panel Survey data from 2008 to 2022 (n = 71,957; weighted n = 126,312,273), this study identified five unique EQ types for men: 1. Salaried-Intensive; 2. Standard Employment Relationship (SER)-like; 3. Standard but Economically Vulnerable; 4. Precarious; and 5. Unemployed, and four for women: 1. SER-like, Union; 2. SER-like, non-Union; 3. Precarious; and 4. Unemployed. The probability of transitioning between each EQ type was measured using latent transition analysis (LTA). The probability of reporting poor/fair self-rated health (SRH) and self-rated mental health (SRMH) within each EQ transition was measured descriptively and associations of poor/fair SRH or SRMH with each EQ type were measured using generalized estimating equations.

resultsRespondents transitioning to or from low-EQ arrangements (e.g., precarious employment or unemployment) reported poor/fair SRH and SRMH more frequently relative to high-EQ (e.g., SER-like) types. LTA results suggested some respondents cycled between precarious employment and unemployment, potentially compounding the effects of employment instability on health.

conclusionImproving employment conditions, particularly for those caught in cycles of precarious employment and unemployment, may be an avenue for improving population health in the U.S.

Indexed as

EmploymentHealth StatusMental HealthAdultFemaleHumansJob SecurityMaleMiddle AgedSelf ReportUnemploymentUnited StatesYoung Adultemployment qualitylatent transition analysismental healthoccupational healthprecarious employmentself‐rated healthsocial determinant of healthunemployment

Identifiers

PMID41559885
PMCPMC13055522

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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.