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Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?

Social scientists have become increasingly interested in strenuous jobs as contributors to health inequality over the life course. Physically demanding work at later ages is of particular interest because it can have implications for retirement decisions, physical functioning, and disability, and st...

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Detalles Bibliográficos
Autores principales: Andrasfay, Theresa, Pebley, Anne, Goldman, Noreen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742520/
http://dx.doi.org/10.1093/geroni/igaa057.1492
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author Andrasfay, Theresa
Pebley, Anne
Goldman, Noreen
author_facet Andrasfay, Theresa
Pebley, Anne
Goldman, Noreen
author_sort Andrasfay, Theresa
collection PubMed
description Social scientists have become increasingly interested in strenuous jobs as contributors to health inequality over the life course. Physically demanding work at later ages is of particular interest because it can have implications for retirement decisions, physical functioning, and disability, and strenuous jobs are prevalent among lower-income and minority older workers. Many studies have relied on occupational characteristics from the Occupational Information Network (O*NET), but few have assessed how these measures compare to self-reported occupational characteristics in terms of identifying social gradients in exposure and predicting future health outcomes. Using data from 16,683 respondents of the Health and Retirement Study, we obtained self-reported and O*NET measurements of general physical activity, frequency of lifting objects, and frequency of stooping/crouching required in the jobs they held at first interview. Pearson correlation coefficients revealed moderate correlations between the self-reported items and corresponding O*NET items. Though they are measured on different scales, both the self-reported and O*NET measures of physical demands revealed similar racial/ethnic and gender gradients in exposure to physically strenuous work. Lastly, we fit a series of random effects Poisson models to assess how these measures predict accumulation of functional limitations, a health outcome thought to result in part from strenuous working conditions. We found that while models using self-reported working conditions have the best fit with the data, models using the corresponding items in O*NET have comparable goodness-of-fit. These results suggest that, in the absence of self-reported physical occupational characteristics, O*NET characteristics provide a reasonable alternative.
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spelling pubmed-77425202020-12-21 Work and Functional Limitations for Older Workers: Does Measurement Make a Difference? Andrasfay, Theresa Pebley, Anne Goldman, Noreen Innov Aging Abstracts Social scientists have become increasingly interested in strenuous jobs as contributors to health inequality over the life course. Physically demanding work at later ages is of particular interest because it can have implications for retirement decisions, physical functioning, and disability, and strenuous jobs are prevalent among lower-income and minority older workers. Many studies have relied on occupational characteristics from the Occupational Information Network (O*NET), but few have assessed how these measures compare to self-reported occupational characteristics in terms of identifying social gradients in exposure and predicting future health outcomes. Using data from 16,683 respondents of the Health and Retirement Study, we obtained self-reported and O*NET measurements of general physical activity, frequency of lifting objects, and frequency of stooping/crouching required in the jobs they held at first interview. Pearson correlation coefficients revealed moderate correlations between the self-reported items and corresponding O*NET items. Though they are measured on different scales, both the self-reported and O*NET measures of physical demands revealed similar racial/ethnic and gender gradients in exposure to physically strenuous work. Lastly, we fit a series of random effects Poisson models to assess how these measures predict accumulation of functional limitations, a health outcome thought to result in part from strenuous working conditions. We found that while models using self-reported working conditions have the best fit with the data, models using the corresponding items in O*NET have comparable goodness-of-fit. These results suggest that, in the absence of self-reported physical occupational characteristics, O*NET characteristics provide a reasonable alternative. Oxford University Press 2020-12-16 /pmc/articles/PMC7742520/ http://dx.doi.org/10.1093/geroni/igaa057.1492 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Andrasfay, Theresa
Pebley, Anne
Goldman, Noreen
Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title_full Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title_fullStr Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title_full_unstemmed Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title_short Work and Functional Limitations for Older Workers: Does Measurement Make a Difference?
title_sort work and functional limitations for older workers: does measurement make a difference?
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742520/
http://dx.doi.org/10.1093/geroni/igaa057.1492
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