Evidence map›Paper›PMID 31686371›Full record

ArticleJournal of racial and ethnic health disparities2020

Differences in Driving Outcomes Among Cognitively Normal African American and Caucasian Older Adults.

Ganesh M Babulal, Sarah H Stout, Monique M Williams, Ganesh Rajasekar, Annie Harmon, Jonathon Vivoda, Megan Zuelsdorff, Tammie L S Benzinger, John C Morris, Beau Ances and 1 more

Open access · greenAbstract read
In one paragraph

Article in Journal of racial and ethnic health disparities, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 19% of its field
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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Driving, Social Distancing, Protective, and Coping Behaviors of Older Adults Before and During COVID-19.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
    Article
  4. 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

11 authors at 4 institutions in 1 country.

Ganesh M BabulalCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA. babulalg@wustl.edu.ORCID 0000-0001-7966-3509
Sarah H StoutCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
Monique M WilliamsBJC Medical Group, St. Louis, MO, USA.
Ganesh RajasekarCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
Annie HarmonDepartment of Medicine, Washington University, St. Louis, MO, USA.
Jonathon VivodaMiami University, Oxford, OH, USA.
Megan ZuelsdorffUniversity of Wisconsin, Madison, WI, USA.
Tammie L S BenzingerCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
John C MorrisCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
Beau AncesCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
Catherine M RoeCharles F. and Joanne Knight Alzheimer's Disease Research Center, 660 S. Euclid Ave., Campus Box, St. Louis, MO, 8111, USA.
Washington University in St. Louis · USBJC HealthCare · USMiami University · USUniversity of Wisconsin–Madison · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Mapping the Human Connectome: Structure, Function, and HeritabilityU54MH091657 · NIMH · WASHINGTON UNIVERSITY · PI UGURBIL, KAMIL, VAN ESSEN, DAVID C · 2010 to 2014
$34.7M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Dominantly Inherited Alzheimer NetworkUF1AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2014 to 2017
$21.6M
THE XNAT IMAGING INFORMATICS PLATFORMR01EB009352 · NIBIB · WASHINGTON UNIVERSITY · PI Daniel Scott Marcus · 2009 to 2026
$9.3M
DOMINANTLY INHERITED ALZHEIMER NETWORK TRIAL: AN OPPORTUNITY TO PREVENT DEMENTIAU01AG042791 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2013 to 2018
$8.9M
POPULATION, LIFE COURSE, AND AGINGT32AG000129 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1986 to 2026
$6.0M
Preclinical Alzheimer Disease and DrivingR01AG056466 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2017 to 2021
$5.9M
FALLS: A MARKER OF PRECLINICAL ALZHEIMERS DISEASER01AG057680 · NIA · WASHINGTON UNIVERSITY · PI ANCES, BEAU M, STARK, SUSAN LYNN · 2018 to 2022
$3.4M
National Institute on Aging (US) R01-AG043434National Institute on Aging (US) R01-AG057680NCATS NIH HHS UL1 TR002345NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG043434NIA NIH HHS R01 AG056466NIA NIH HHS R01 AG057680NIA NIH HHS R03 AG055482NIA NIH HHS T32 AG000129NIA NIH HHS U01 AG042791NIA NIH HHS UF1 AG032438NIBIB NIH HHS R01 EB009352NIMH NIH HHS U54 MH091657
6 · The paper itself

Abstract

objectiveTo examine the effect of race in driving performance and behavior prospectively among cognitively normal older adults.

methodsCognitively normal participants (Clinical Dementia Rating 0), ≥ 65 years of age (n = 177) were selected from prospective, longitudinal studies at the Knight Alzheimer Disease Research Center at Washington University. Self-reported driving behavior (Driving Habits Questionnaire) and driving performance (road test) were annually assessed. Daily driving behavior data were collected using the Driving Real World In-Vehicle Evaluation System (DRIVES). Baseline differences between African Americans and Caucasians were tested using t tests and general linear models. Amyloid imaging and cerebrospinal fluid Alzheimer disease (AD) biomarkers were compared across groups. Linear mixed models examined change in daily driving behavior over time. Survival analyses tested time to a marginal or fail rating on the road test.

resultsThere were no differences between African Americans (n = 34) and Caucasians (n = 143) in age, sex, education, or vascular risk factors. Baseline self-reported driving behavior and road test performance were largely similar for both races. Longitudinal analyses using the DRIVES data aggregated monthly showed that African Americans had a greater reduction in number of trips made per month, miles driven per month, and trips with aggressive behavior compared to Caucasians. These effects remained after controlling for AD biomarkers, age, education, and sex.

conclusionsIn this sample of cognitively normal older adults, African Americans had a greater reduction of daily driving behavior compared to Caucasians. Observed racial differences may reflect differences in environmental/social factors, changes in cognition, and/or physical functioning.

Indexed as

CognitionAgedAged, 80 and overAlzheimer DiseaseAmyloidAutomobile DrivingBiomarkersBlack or African AmericanHumansLongitudinal StudiesMaleProspective StudiesRisk FactorsWhite PeopleAmyloidBiomarkersAfrican AmericansAlzheimer’s diseaseDrivingOlder adultsRace

Identifiers

PMID31686371
PMCPMC7067633
OpenAlexW2989354091

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.