Literature DB >> 26988661

Life Expectancy With and Without Pain in the U.S. Elderly Population.

Zachary Zimmer1, Sara Rubin2.   

Abstract

BACKGROUND: This study contributes to dialogue on quality versus quantity of life by examining years older persons can expect to live in various states of pain.
METHODS: Data from seven waves of the Health and Retirement Study; N = 26,896; age 55+. Estimations using the Interpolative Markov Chain approach apply probability transitions to multistate life table functions. Two estimates are interpreted: (i) population-based, which provide population averages aggregated across baseline states and (ii) status-based, which provide independent estimates by baseline state. Age- and sex-specific years with no pain, milder nonlimiting, and severe or limiting pain are reported as is percent of life in states of pain.
RESULTS: Females have higher life expectancy than males but similar expectations of pain-free life. Total life expectancy varies only slightly by baseline pain states but pain-free life expectancy varies greatly. For example, an 85-year-old female pain-free at baseline expects 7.04 more years, 5.28 being pain-free. An 85-year-old female with severe pain at baseline expects 6.42 years with only 2.66 pain-free. Percent of life with pain decreases by age for those pain-free at baseline and increases for those with pain at baseline.
CONCLUSION: Pain is moderately associated with quantity of or total life but substantially and importantly associated with quality of or pain-free life.
© The Author 2016. 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.

Entities:  

Keywords:  Aging; Demography; Health and Retirement Survey; Interpolative Markov Chains; Longevity; Multistate life tables; Quality of life

Mesh:

Year:  2016        PMID: 26988661      PMCID: PMC4978363          DOI: 10.1093/gerona/glw028

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  34 in total

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