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Explaining Disability Trends in the U.S. Elderly and Near-Elderly Population.


ABSTRACT:

Objective

To examine disability trends among U.S. near-elderly and elderly persons and explain observed trends.

Data source

1996-2010 waves of the Health and Retirement Study.

Study design

We first examined trends in Activities of Daily Living and Instrumental Activities of Daily Living limitations, and large muscle, mobility, gross motor, and fine motor indexes. Then we used decomposition analysis to estimate contributions of changes in sociodemographic composition, self-reported chronic disease prevalence and health behaviors, and changes in disabling effects of these factors to disability changes between 1996 and 2010.

Principal findings

Disability generally increased or was unchanged. Increased trends were more apparent for near-elderly than elderly persons. Sociodemographic shifts tended to reduce disability, but their favorable effects were largely offset by increased self-reported chronic disease prevalence. Changes in smoking and heavy drinking prevalence had relatively minor effects on disability trends. Increased obesity rates generated sizable effects on lower-body functioning changes. Disabling effects of self-reported chronic diseases often declined, and educational attainment became a stronger influence in preventing disability.

Conclusions

Such unfavorable trends as increased chronic disease prevalence and higher obesity rates offset or outweighed the favorable effects with the result that disability remained unchanged or increased.

SUBMITTER: Chen Y 

PROVIDER: S-EPMC4600360 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Publications

Explaining Disability Trends in the U.S. Elderly and Near-Elderly Population.

Chen Yiqun Y   Sloan Frank A FA  

Health services research 20150206 5


<h4>Objective</h4>To examine disability trends among U.S. near-elderly and elderly persons and explain observed trends.<h4>Data source</h4>1996-2010 waves of the Health and Retirement Study.<h4>Study design</h4>We first examined trends in Activities of Daily Living and Instrumental Activities of Daily Living limitations, and large muscle, mobility, gross motor, and fine motor indexes. Then we used decomposition analysis to estimate contributions of changes in sociodemographic composition, self-r  ...[more]

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