Evidence map›Paper›PMID 42138370›Full record

ArticleJournal of the American Geriatrics Society2026

Self-Reported Driving Problems Predict Future Traffic Crashes in Older Men: Prevalence and Determinants of Unrecognized Imminent Risk.

Ji Won Han, Tae Hui Kim, Kyung Phil Kwak, Bong Jo Kim, Shin Gyeom Kim, Jeong Lan Kim, Seok Woo Moon, Joon Hyuk Park, Seung-Ho Ryu, Dong Woo Lee and 4 more

Abstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 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

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

14 authors.

Ji Won HanDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID 0000-0003-2418-4257
Tae Hui KimDepartment of Psychiatry, Yonsei University Wonju Severance Christian Hospital, Wonju, Korea.
Kyung Phil KwakDepartment of Psychiatry, Dongguk University Gyeongju Hospital, Gyeongju, Korea.
Bong Jo KimDepartment of Psychiatry, Gyeongsang National University School of Medicine, Jinju, Korea.
Shin Gyeom KimDepartment of Neuropsychiatry, Soonchunhyang University Bucheon Hospital, Bucheon, Korea.
Jeong Lan KimDepartment of Psychiatry, School of Medicine, Chungnam National University, Daejeon, Korea.
Seok Woo MoonDepartment of Psychiatry, Konkuk University Chungju Hospital, Chungju, Korea.
Joon Hyuk ParkDepartment of Neuropsychiatry, Jeju National University Hospital, Jeju, Korea.
Seung-Ho RyuDepartment of Psychiatry, School of Medicine, Konkuk University, Konkuk University Medical Center, Seoul, Korea.
Dong Woo LeeDepartment of Neuropsychiatry, Inje University Sanggye Paik Hospital, Seoul, Korea.
Seok Bum LeeDepartment of Psychiatry, Dankook University Hospital, Cheonan, Korea.
Jung Jae LeeDepartment of Psychiatry, Dankook University Hospital, Cheonan, Korea.
Jin Hyeong JhooDepartment of Psychiatry, Kangwon National University, College of Medicine, Chuncheon, Korea.
Ki Woong KimDepartment of Neuropsychiatry, Seoul National University Bundang Hospital, Seongnam, Korea.ORCID 0000-0002-1103-3858

Funding

Korea Dementia Research Project through the Korea Dementia Research Center (KDRC) RS-2020-KH095941Korea Dementia Research Project through the Korea Dementia Research Center (KDRC) RS-2023-KH135260Korea Dementia Research Project through the Korea Dementia Research Center (KDRC) RS-2025-02223212Korean Health Technology R&D Project HI09C1379
6 · The paper itself

Abstract

backgroundOlder drivers exhibit elevated crash risk per distance driven, yet accurately identifying high-risk individuals without unjustly restricting mobility remains challenging. Whether older drivers can accurately assess their own driving-related risks remains controversial, and educational attainment-as a proxy for cognitive reserve-may influence this capacity for self-assessment.

methodsThis population-based prospective cohort study included 1673 male drivers aged 60 years and older from the Korean Longitudinal Study on Cognitive Aging and Dementia (KLOSCAD). Participants were classified into four risk phenotypes based on concordance between baseline self-reported driving concerns and subsequent crash occurrence: Drivers with inherent safety (DIS), drivers with regulated safety (DRS), drivers with recognized risk (DRR), and drivers with unrecognized risk (DUR). Self-reported and informant-reported driving problems were assessed using the driving risk questionnaire (DRQ). Crash records were obtained from the Korean National Police Agency (KNPA) over a 2-year follow-up.

resultsOf 290 drivers involved in crashes, 179 (61.7%) had reported baseline concerns (DRR), while 111 (38.3%) had not, representing 'silent' at-risk drivers-those who reported no driving concerns at baseline but subsequently experienced crashes (DUR). Lower baseline Self-Informant Discrepancy (mean SID: -0.05 in the unrecognized risk group vs. 3.15 in the recognized risk group; p < 0.001) characterized the unrecognized risk group, while informant reports showed a floor effect (94.3% zero) and did not predict crashes, necessitating objective screening. Among drivers without self-reported concerns, lower education (≤ 9 years) combined with slower TMT-B performance (≥ 180 s) identified a high-risk subgroup with a crash rate of 20.9% (OR, 2.04; 95% CI, 1.29-3.22; p = 0.002).

conclusionsSelf-reported driving concerns demonstrate predictive validity for future crashes, but a substantial minority of crash-involved drivers remain undetected by self-report. Education and TMT-B performance may serve as clinically actionable markers for identifying these "silent" at-risk drivers.

Indexed as

Accidents, TrafficAutomobile DrivingSelf ReportAgedHumansLongitudinal StudiesMaleMiddle AgedPrevalenceProspective StudiesRepublic of KoreaRisk AssessmentRisk Factorsdriving safetyolder adultsself‐report validitytrail making testunrecognized risk

Identifiers

PMID42138370
PMCPMC13418772

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.