Literature DB >> 12537277

Patterns of active life among older women: differences within and between groups.

Douglas A Wolf1, Sarah B Laditka, James N Laditka.   

Abstract

This study examines the distribution of total, unimpaired, and impaired life for several groups of older women defined by race, education, and marital history. Using data from the 1984-1990 Longitudinal Study of Aging, we model transitions among functional statuses using discrete-time Markov chains, and use microsimulation to produce summary indices of active life. Remaining years of life and the proportion of remaining years with disability vary substantially, both within each group of women studied and between pairs of groups. Of all groups studied, never-married, more-educated white women live the longest, healthiest lives. Ever-married nonwhite women with low education have the shortest life expectancy, and experience the most disability. Our findings show that life expectancy is an incomplete indicator of the time women, in particular sub-groups, can expect to live with and without impairment. These findings highlight the heterogeneity of disability processes and life expectancy for older women.

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Year:  2002        PMID: 12537277     DOI: 10.1300/J074v14n01_02

Source DB:  PubMed          Journal:  J Women Aging        ISSN: 0895-2841


  4 in total

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Journal:  Demogr Res       Date:  2010-01-26

2.  Improving knowledge about disability transitions by adding retrospective information to panel surveys. Population health metrics.

Authors:  James N Laditka; Douglas A Wolf
Journal:  Popul Health Metr       Date:  2006-12-13

3.  Disability transitions and health expectancies among adults 45 years and older in Malawi: a cohort-based model.

Authors:  Collin F Payne; James Mkandawire; Hans-Peter Kohler
Journal:  PLoS Med       Date:  2013-05-07       Impact factor: 11.069

Review 4.  Simulation models for socioeconomic inequalities in health: a systematic review.

Authors:  Niko Speybroeck; Carine Van Malderen; Sam Harper; Birgit Müller; Brecht Devleesschauwer
Journal:  Int J Environ Res Public Health       Date:  2013-11-04       Impact factor: 3.390

  4 in total

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