ArticleScientific data2025
A combined naturalistic driving, clinical, and neurobehavioral data set for investigating aging and dementia.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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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.
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.
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Who cites it
6 citing papers in PubMed.
- Tau pathology and depression interact to accelerate driving decline in cognitively normal older adults.Molecular psychiatry · 2026Article
- Lost before forgetting: objective driving metrics track navigation deficits tied to preclinical Alzheimer's disease.Innovation in aging · 2026Article
- Harmonizing self-reported and free text medication data: a reproducible pipeline for gerontological research.BMC medical informatics and decision making · 2025Article
- Association of Daily Driving Behaviors With Mild Cognitive Impairment in Older Adults Followed Over 10 Years.Neurology · 2025Observational
- Naturalistic driving behavior among older adults with and without epilepsy: A pilot study.Epilepsy & behavior : E&B · 2025Article
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Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Alzheimer's disease and related dementia (ADRD) are becoming increasingly prevalent and are predicted to affect up to 153 million globally by 2050. Outside of biomarkers that measure pathology, there is a lack of methods to quantify and study complex behaviors such as driving and managing finances that precede cognitive decline among older adults. The DRIVES Project at Washington University School of Medicine has developed a pipeline to measure naturalistic driving behavior of older adult drivers enrolled in longitudinal studies of aging and ADRD. This driving behavior is captured in the form of tabular data for each trip a participant takes and is processed in two formats: low-frequency driving data, comprising approximately 2.8 million trips (37 GB), and high-frequency driving data, with approximately 1.4 million trips (2.6 TB). This pipeline also captures common participant sociodemographic characteristics, clinical features, and environmental context across various weather conditions, as well as the Area Deprivation Index and the Social Vulnerability Index, to comprehensively characterize the multidimensional nature of neurodegenerative processes among older adults.
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Registered trials
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.