Evidence map›Paper›PMID 39093711›Full record

ArticleThe journals of gerontology. Series B, Psychological sciences and social sciences2024

The Impact of Multimorbidity on Labor Force Participation Among the Middle-Aged and Older Working Population in the United States.

Zhang Zhang, Qing Gong, Donna Gilleskie, Jeremy G Moulton, Sean Y Sylvia

Abstract read
In one paragraph

Article in The journals of gerontology. Series B, Psychological sciences and social sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Zhang ZhangDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0001-9344-6578
Qing GongDepartment of Economics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Donna GilleskieCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jeremy G MoultonCarolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Sean Y SylviaDepartment of Health Policy and Management, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
The Impact of Telehealth on Healthcare Utilization, Health Behavior and Quality of Care for Middle-aged and Older Adults with Cardiometabolic RiskF31HL172678 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ZHANG, ZHANG · 2024 to 2024
$25k
NHLBI NIH HHS 1F31HL172678-01NHLBI NIH HHS F31 HL172678NICHD NIH HHS P2C HD050924NICHD NIH HHS T32 HD091058
6 · The paper itself

Abstract

objectivesMultimorbidity, known as multiple chronic conditions (MCC), is the coexistence of two or more chronic health conditions (CHC). The near-retirement-age population with MCC is more likely to experience discontinued labor force participation (LFP). Our objective was to evaluate the impact of MCC on LFP among adults aged 50-64 and to explore heterogeneous effects between self-employed and non-self-employed workers.

methodsWe constructed our sample using the Health and Retirement Study (HRS) from 1996 to 2018. We adopted an individual fixed-effect (F.E.) model and propensity score matching (PSM) to measure the impact of MCC on the probability of being employed and changes in annual work hours.

results50.5% of respondents have MCC. Individuals with MCC exhibit a predicted probability of being employed that is 9.3 percentage points (p < .01, 95% confidence interval [95% CI]: -0.109, -0.078) lower than those without MCC. Compared with non-CHC, MCC significantly reduced annual working hours by 6.1% (p < .01, 95% CI: -0.091, -0.036) in the F.E. model and by 4.9% (p < .01, 95% CI: -0.064, -0.033) in PSM estimation. The effect is more pronounced for the self-employed with MCC, who have 13.0% (p < .05, 95% CI: -0.233, -0.026) fewer annual work hours than non-CHC based on the FE model and 13.4% (p < .01, 95% CI: -0.197, -0.070) in PSM estimation. DISCUSSION: MCC significantly reduces LFP compared with non-MCC. MCC has a heterogeneous impact across occupational types. It is important to support the near-retirement-age working population with multimorbidity through effective clinical interventions and workplace wellness policies to help manage health conditions and remain active in the labor market.

Indexed as

EmploymentMultimorbidityFemaleHumansMaleMiddle AgedMultiple Chronic ConditionsRetirementUnited StatesMultiple chronic conditionsNear-retirement-age working populationSelf-employment

Identifiers

PMID39093711
PMCPMC11440000

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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.