Evidence map›Paper›PMID 28286931›Full record

ArticleInjury epidemiology2017

Association between baseline frailty and driving status over time: a secondary analysis of The National Health and Aging Trends Study.

Elizabeth G Bond, Laura L Durbin, Jodi A Cisewski, Min Qian, Jack M Guralnik, Judith D Kasper, Thelma J Mielenz

Abstract read
In one paragraph

Article in Injury epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
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  10. Driver Rehabilitation Utilization and Need Among Community-Dwelling Older Adults.The American journal of occupational therapy : official publication of the American Occupational Therapy Association
    Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Elizabeth G BondDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA.
Laura L DurbinDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA.
Jodi A CisewskiDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA.
Min QianDepartment of Biostatistics, Columbia University Mailman School of Public Health, New York, NY, USA.
Jack M GuralnikDivision of Gerontology, Department of Epidemiology & Public Health, University of Maryland School of Medicine, Howard Hall Suite 200, 660 West Redwood Street, Baltimore, MD, 21201, USA.
Judith D KasperDepartment of Health Policy and Management, Johns Hopkins University, Bloomberg School of Public Health, 624 North Broadway, Baltimore, MD, 21205, USA.
Thelma J MielenzDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th Street, New York, NY, 10032, USA. tjm2141@cumc.columbia.edu.

Funding

The National Health and Trends StudyU01AG032947 · NIA · JOHNS HOPKINS UNIVERSITY · PI VICKI A. FREEDMAN, JENNIFER ANN SCHRACK · 2008 to 2026
$169.4M
Columbia Injury Control Research CenterR49CE002096 · CE · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2012 to 2018
$5.5M
NCIPC CDC HHS R49 CE002096NIA NIH HHS U01 AG032947
6 · The paper itself

Abstract

backgroundContinued automobile driving is important for the wellbeing and independence of older adults. Frailty has been associated with a variety of negative health outcomes, but studies are lacking on the potential association between frailty and driving status. The present study uses data from The National Health and Aging Trends Study (NHATS) to assess if the presence of frailty is associated with being a current non-driver.

methodsNHATS is a nationally representative cohort study of Medicare beneficiaries (aged ≥65) that have been followed since 2011. We examined frailty status at baseline (Fried's frailty phenotype) and driving status over 4 years (from 2011 to 2014) excluding never drivers at baseline. Multivariable Poisson regression was used to obtain incidence rate ratios, adjusting for covariates and clustering. To account for the repeated measures in the data collection, generalized estimating equations (GEE) were employed.

resultsA significant association between baseline frailty and driving status was observed at all four time points. At T4, frail participants at baseline had an incidence rate for becoming a current non-driver 1.80 times (or an 80% increase) that of non-frail participants at baseline (adjusted 95% confidence interval (CI) 1.56-2.07).

conclusionsFrailty was associated with an increased rate of being a current non-driver. Based on this association, we posit that screening for and intervening on frailty may help certain older adults who are at risk for becoming a current non-driver to remain on the road longer.

Indexed as

DrivingEpidemiologyFrailtyMeasurementOlder adults

Identifiers

PMID28286931
PMCPMC5366291

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.