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Effects of Older Adult Driving Resumption on All-Cause Mortality.


ABSTRACT: OBJECTIVES:Driving cessation is associated with adverse social and health outcomes including increased mortality risk. Some former drivers resume driving. Do resumed drivers have a different mortality risk compared to former drivers or continued drivers? METHOD:We analyzed National Health and Aging Trends Study (2011-2015) data of community-dwelling self-responding ever drivers (n = 6,189) with weighted stratified life tables and discrete time logistic regression models to characterize mortality risk by driving status (continued, resumed, former), adjusting for relevant sociodemographic and health variables. RESULTS:Overall, 14% (n = 844) of participants died and 52% (n = 3,209) completed Round 5. Former drivers had the highest mortality (25%), followed by resumed (9%) and continued (6%) drivers. Former drivers had 2.4 times the adjusted odds of mortality compared with resumed drivers (adjusted odds ratio [aOR] = 2.41; 95% confidence interval [CI] = 1.51, 3.83), with no difference between continued and resumed drivers (aOR = 1.22; 95% CI = 0.74, 1.99). DISCUSSION:Those who resumed driving had better survival than those who did not. Practice implications include driver rehabilitation and retraining to safely promote and prolong driving.

SUBMITTER: Ratnapradipa KL 

PROVIDER: S-EPMC7664310 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Effects of Older Adult Driving Resumption on All-Cause Mortality.

Ratnapradipa Kendra L KL   Wang Jing J   Berg-Weger Marla M   Schootman And Mario AM  

The journals of gerontology. Series B, Psychological sciences and social sciences 20201101 10


<h4>Objectives</h4>Driving cessation is associated with adverse social and health outcomes including increased mortality risk. Some former drivers resume driving. Do resumed drivers have a different mortality risk compared to former drivers or continued drivers?<h4>Method</h4>We analyzed National Health and Aging Trends Study (2011-2015) data of community-dwelling self-responding ever drivers (n = 6,189) with weighted stratified life tables and discrete time logistic regression models to charact  ...[more]

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