Evidence map›Paper›PMID 42835705›Full record

ArticleTransportation research interdisciplinary perspectives2026

Turns and downturns in aging drivers.

Marie Hardt, Guillermo Basulto-Elias, Heike Hofmann, Shauna Hallmark, Anuj Sharma, Jeffrey D Dawson, Matthew Rizzo, Jun Ha Chang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Transportation research interdisciplinary perspectives, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Marie HardtDepartment of Statistics, Iowa State University, 2438 Osborn Dr., Ames, IA 50011, USA.ORCID 0009-0001-8548-9866
Guillermo Basulto-EliasInstitute for Transportation, Iowa State University, 2711 S. Loop Drive Suite 4700, Ames, IA 50010, USA.
Heike HofmannDepartment of Statistics, University of Nebraska-Lincoln, 340 Hardin Hall North Wing, Lincoln, NE 68583, USA.
Shauna HallmarkInstitute for Transportation, Iowa State University, 2711 S. Loop Drive Suite 4700, Ames, IA 50010, USA.
Anuj SharmaInstitute for Transportation, Iowa State University, 2711 S. Loop Drive Suite 4700, Ames, IA 50010, USA.
Jeffrey D DawsonDepartment of Biostatistics, University of Iowa, 145 N. Riverside Dr., Iowa City, IA 52242, USA.
Matthew RizzoDepartment of Neurological Sciences, University of Nebraska Medical Center, 4242 Farnam St. Suite 650, Omaha, NE 68131, USA.
Jun Ha ChangDepartment of Neurological Sciences, University of Nebraska Medical Center, 4242 Farnam St. Suite 650, Omaha, NE 68131, USA.

Funding

PREDICTIONS OF DRIVER SAFETY IN ADVANCING AGER01AG017177 · NIA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI RIZZO, MATTHEW · 1999 to 2024
$9.9M
NIA NIH HHS R01 AG017177
6 · The paper itself

Abstract

As cognitive decline progresses, older adults may self-regulate their driving. Avoidance of left turns across traffic is observable in naturalistic driving data but rarely self-reported. We studied 106 older adults using baseline and one-year follow-up neuropsychological assessments. In-vehicle sensors passively recorded driving behavior over 12 weeks. We identified 216,531 turns from vehicle heading changes. We used mixed-effects logistic regression to model the odds of turning left, with cognitive status category change from baseline to one-year follow-up as the predictor. Greater cognitive impairment, represented by movement to a more severe cognitive status category at one-year follow-up, was associated with reduced odds of turning left (odds ratio = 0.98, 95 % confidence interval = (0.964, 0.996); P value = 0.011). Left-turn avoidance may be a behavioral marker of early cognitive decline. Passive driving data could help detect functional changes earlier, enabling intervention to preserve mobility and independence.

Indexed as

Alzheimer’sdiseaseCognitive declineDigital behavioural markersLeft-turning behaviorMild cognitive impairmentNaturalistic driving studyOlder drivers

Identifiers

PMID42835705
PMCPMC13637463

What OpenQuestion holds

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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.