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Costs of Forced Retirement: Measuring the Effect of Lost Work Opportunity on Health. | LitMetric

Costs of Forced Retirement: Measuring the Effect of Lost Work Opportunity on Health.

J Occup Environ Med

From the Harvard T.H. Chan School of Public Health, Center for Work, Health, and Wellbeing, Cambridge, MA (M.W.V.); Roseman University, College of Dental Medicine; South Jordan, UT (M.H.); Utah System of Higher Education, Commissioner's Office, Salt Lake City, UT (W.L.); University of Utah, Occupational and Recreational Therapies, Salt Lake City, UT (L.G.R., P.P., A.T.); and Highmark Health, Pittsburgh, PA (T.B.).

Published: August 2024

AI Article Synopsis

  • - The study investigates the health impacts of unemployment and forced retirement, highlighting how these factors contribute to poor health outcomes and earlier-than-planned retirements.
  • - A new measurement tool called the Lost-work Opportunity Score (LOS) was developed to analyze data from 2,576 respondents, focusing on the effects of lost work opportunities on health.
  • - Results showed that the LOS could predict significant declines in self-reported health and increases in depression, suggesting a 46% higher chance of negative health changes when facing forced retirement or unemployment events.

Article Abstract

Objective: Unemployment is a known health stressor that also increases early retirements. This study addresses mixed literature on retiree health and underreporting of forced retirement to better identify potential health impacts of lost work opportunity.

Methods: A Lost-work Opportunity Score (LOS) was created using variables from the Health and Retirement Study assessing unemployment, forced retirement, and earlier-than-planned retirement for 2576 respondents. Reliability and unidimensionality of the score with multivariate regression analyses examined health impacts controlling for demographics and prior health status.

Results: The LOS possessed unidimensionality with a Cronbach's alpha of a = 0.76 while predicting self-reported health declines (LOS = 2; β = 0.381, OR = 1.464, P < 0.05) and depression increase (LOS = 2; β = 0.417, OR = 1.517, P < 0.05).

Conclusions: LOS predicts 46% increased odds of negative self-reported health change after retirement associated with two LOS events, with implications to support aging workers.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11300168PMC
http://dx.doi.org/10.1097/JOM.0000000000003137DOI Listing

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