393
Views
12
CrossRef citations to date
0
Altmetric
Articles

Wearing the Garment of Widowhood: Variations in Time Since Spousal Loss Among Community-Dwelling Older Adults

, &
Pages 126-139 | Published online: 09 Apr 2012
 

Abstract

We examine how the passage of time since spousal loss varies by social and demographic characteristics, using data from the University of Alabama at Birmingham Study of Aging. In multivariate analyses, African American race, female sex, lower income, and higher risk of social isolation had significant and independent associations with variation in time since spousal loss. African American women were at highest risk for long-term widowhood. Accurate characterizations of widowhood among community-dwelling older adults must consider variation in the length of time individuals are living as widowed persons and socioeconomic concomitants of long-term widowhood.

ACKNOWLEDGMENTS

Dr. Williams is supported by the Veterans Administration Health Services Research and Development, Award Number IIR–03–026 and PPO 09–315–1. Dr. Sawyer and Dr. Allman are supported by Award Number Award Number R01 AG16062, “Mobility Among Older African Americans and Whites—The UAB Study of Aging,” P30AG031054, the Deep South Resource Center for Minority Aging Research, from the National Institute on Aging. The content is solely the responsibility of the authors and does not necessarily represent the official views of the United States Department of Veterans Affairs, the National Institute on Aging, or the National Institutes of Health.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 330.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.