Older Adult Productive Activity Participation Using the National Health and Aging Trends Study

This study aims to characterize factors related to productive activity participation among community-dwelling older adults. Cross-sectional analyses using data from the National Health and Aging Trends Study were used to calculate weighted frequencies representative of the U.S. population of older a...

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Main Authors: Elizabeth E. Marfeo PhD, MPH, OTR/L, Caroline Ward BA, OTS
Format: Article
Language:English
Published: SAGE Publishing 2020-03-01
Series:Gerontology and Geriatric Medicine
Online Access:https://doi.org/10.1177/2333721420910657
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spelling doaj-4f9c35c16d3c48cfbf5ad381fe3a6b102020-11-25T03:42:23ZengSAGE PublishingGerontology and Geriatric Medicine2333-72142020-03-01610.1177/2333721420910657Older Adult Productive Activity Participation Using the National Health and Aging Trends StudyElizabeth E. Marfeo PhD, MPH, OTR/L0Caroline Ward BA, OTS1Tufts University, Medford, MA, USATufts University, Medford, MA, USAThis study aims to characterize factors related to productive activity participation among community-dwelling older adults. Cross-sectional analyses using data from the National Health and Aging Trends Study were used to calculate weighted frequencies representative of the U.S. population of older adults. Multivariate logistic regression was used to explore factors related to participation outcomes (paid work, volunteering, caregiving). We found that 21% of community-dwelling older adults in the United States reported currently working. Older adults reported working in a wide range of occupations. Driving emerged as one of the most important factors related to increased odds of productive activity participation. Age, gender, and health factors were also significantly associated with increased odds of productive activity participation. By understanding the current profile of participation in activities including employment, caregiving, and volunteering among a national sample of community-dwelling older adults, we can effectively inform intervention programs and resource allocation to support productive aging.https://doi.org/10.1177/2333721420910657
collection DOAJ
language English
format Article
sources DOAJ
author Elizabeth E. Marfeo PhD, MPH, OTR/L
Caroline Ward BA, OTS
spellingShingle Elizabeth E. Marfeo PhD, MPH, OTR/L
Caroline Ward BA, OTS
Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
Gerontology and Geriatric Medicine
author_facet Elizabeth E. Marfeo PhD, MPH, OTR/L
Caroline Ward BA, OTS
author_sort Elizabeth E. Marfeo PhD, MPH, OTR/L
title Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
title_short Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
title_full Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
title_fullStr Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
title_full_unstemmed Older Adult Productive Activity Participation Using the National Health and Aging Trends Study
title_sort older adult productive activity participation using the national health and aging trends study
publisher SAGE Publishing
series Gerontology and Geriatric Medicine
issn 2333-7214
publishDate 2020-03-01
description This study aims to characterize factors related to productive activity participation among community-dwelling older adults. Cross-sectional analyses using data from the National Health and Aging Trends Study were used to calculate weighted frequencies representative of the U.S. population of older adults. Multivariate logistic regression was used to explore factors related to participation outcomes (paid work, volunteering, caregiving). We found that 21% of community-dwelling older adults in the United States reported currently working. Older adults reported working in a wide range of occupations. Driving emerged as one of the most important factors related to increased odds of productive activity participation. Age, gender, and health factors were also significantly associated with increased odds of productive activity participation. By understanding the current profile of participation in activities including employment, caregiving, and volunteering among a national sample of community-dwelling older adults, we can effectively inform intervention programs and resource allocation to support productive aging.
url https://doi.org/10.1177/2333721420910657
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