Evidence map›Paper›PMID 32919256›Full record

ArticleSocial science & medicine (1982)2020

Life-course trajectories of employment quality and health in the U.S.: A multichannel sequence analysis.

Jerzy Eisenberg-Guyot, Trevor Peckham, Sarah B Andrea, Vanessa Oddo, Noah Seixas, Anjum Hajat

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  10. Employment quality and mortality in Canada.Journal of epidemiology and community health · 2025
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  19. The Impact of Multimorbidity on Labor Force Participation Among the Middle-Aged and Older Working Population in the United States.The journals of gerontology. Series B, Psychological sciences and social sciences · 2024
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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

6 authors.

Jerzy Eisenberg-GuyotDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA. Electronic address: jerzy@uw.edu.
Trevor PeckhamDepartment of Environmental and Occupational Health Services, School of Public Health, University of Washington, Seattle, WA, USA.
Sarah B AndreaDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.
Vanessa OddoDepartment of Kinesiology and Nutrition, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, USA.
Noah SeixasDepartment of Environmental and Occupational Health Services, School of Public Health, University of Washington, Seattle, WA, USA.
Anjum HajatDepartment of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA.

Funding

XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Nicole Ann Errett · 1995 to 2026
$42.5M
The role of precarious work in the production of health disparities in older agesR01AG060011 · NIA · UNIVERSITY OF WASHINGTON · PI HAJAT, ANJUM · 2018 to 2021
$1.7M
Precarious Employment as a Determinant of Overweight and Cardiometabolic RiskR00MD012807 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI ODDO, VANESSA MARIE · 2020 to 2022
$747k
Evaluating employment quality as a social determinant of health in a changing economyF31MD013357 · NIMHD · UNIVERSITY OF WASHINGTON · PI PECKHAM, TREVOR · 2018 to 2019
$85k
NIA NIH HHS R01 AG060011NIEHS NIH HHS P30 ES007033NIMHD NIH HHS F31 MD013357NIMHD NIH HHS R00 MD012807
6 · The paper itself

Abstract

The organization of employment in the U.S. has changed dramatically since the 1970s, causing decreased power and security for workers across many dimensions of the employment relationship. Multidimensional employment-quality (EQ) measures can be used to capture these changes and test their association with health. However, most public-health EQ studies have used cross-sectional, unidimensional data. We addressed these limitations using a longitudinal, multidimensional EQ measure and data on 2779 1985-2017 Panel Study of Income Dynamics respondents. First, using a multichannel sequence-analysis approach, we identified gender-specific clusters of mid-career (ages 29-50) EQ trajectories based on respondents' employment stability, material rewards, working-time arrangements, collective organization, and power relations. Next, we examined cross-cluster variation in respondent characteristics. Finally, we estimated the gender-specific associations between cluster-membership and post-sequence-analysis-period prevalence of poor/fair self-rated health (SRH) and moderate mental illness (Kessler-K6≥5). We identified five clusters among women and seven among men. Respondents in poor-EQ clusters were disproportionately people of color and less-educated; they also tended to report worse health. For example, among women, the prevalence of poor/fair SRH and moderate mental illness was lowest among standard-employment-relationship-like-non-union workers and the becoming self-employed, and greatest among minimally-attached, returning-to-the-labor-force, and precariously-employed workers. Meanwhile, among men, the prevalence of the outcomes was lowest among stably-high-wage workers and the wealthy self-employed, and greatest among exiting-the-labor-force and precariously-employed workers. Given the potential role of EQ in health inequities, researchers and practitioners should consider EQ in their work.

Indexed as

EmploymentIncomeAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSalaries and Fringe BenefitsSequence AnalysisEmployment qualityHealth disparitiesHealth inequitiesPrecarious employmentPrecariousnessSequence analysisUnited StatesWork quality

Identifiers

PMID32919256
PMCPMC7607590

What OpenQuestion holds

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Registered trials

None linked

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.