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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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Publications

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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