Literature DB >> 28575472

Population Aging and Health Trajectories at Older Ages.

Eric M Vogelsang1, James M Raymo2, Jersey Liang3, Erika Kobayashi4, Taro Fukaya4.   

Abstract

OBJECTIVE: This study examines relationships between municipal age structure and two types of self-rated health: general (SRH) and comparison with similar-aged peers (C-SRH).
METHODS: Using a national sample of almost 5,000 Japanese older adults over two decades, we employ hierarchical growth curve models to estimate health trajectories. For municipal age structure, we consider both the relative prevalence of elderly adults in the local population and the pace of aging over time.
RESULTS: Living in the oldest municipalities was generally associated with worse health, particularly between the ages of 70 and 80 years. For SRH, the speed of municipal population aging was also independently associated with worse health. For C-SRH, worse health in older areas was partially explained by less favorable economic conditions in those municipalities. Results also suggest that higher levels of employment and social integration among older adults living in the oldest municipalities operate in the opposite direction. That is, these attributes partially "protect" individuals from other factors that contribute to worse health. DISCUSSION: Relative differences in municipal age structure and the pace of population aging are largely unexplored and potentially important correlates of older adult health. This line of research is increasingly salient in a world with substantial and growing regional variation in population aging.
© The Author(s) 2017. Published by Oxford University Press on behalf of The Gerontological Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Keywords:  Health trajectories; Japan; Population aging; Self-rated health

Mesh:

Year:  2019        PMID: 28575472      PMCID: PMC6748743          DOI: 10.1093/geronb/gbx071

Source DB:  PubMed          Journal:  J Gerontol B Psychol Sci Soc Sci        ISSN: 1079-5014            Impact factor:   4.077


  29 in total

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Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2006-05       Impact factor: 4.077

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Journal:  Am J Geriatr Psychiatry       Date:  2006-06       Impact factor: 4.105

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Authors:  Laura D Kubzansky; S V Subramanian; Ichiro Kawachi; Martha E Fay; Mah-J Soobader; Lisa F Berkman
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Journal:  Demography       Date:  2007-11
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