Evidence map›Paper›PMID 40332934›Full record

ArticleJAMA network open2025

Vehicle Age and Driver Assistance Technologies in Fatal Crashes Involving Teen and Middle-Aged Drivers.

Fangda Zhang, Christopher R M Rundus, Enas Alshaikh, Corinne Peek-Asa, Jingzhen Yang

Abstract read
In one paragraph

Article in JAMA network open, 2025. 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

5 authors.

Fangda ZhangCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Christopher R M RundusCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Enas AlshaikhCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.
Corinne Peek-AsaOffice of Research Affairs, University of California at San Diego, San Diego.
Jingzhen YangCenter for Injury Research and Policy at the Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, Ohio.

Funding

Adoption and Implementation of an Evidence-based Safe Driving Program for High-Risk Teen DriversR01HD100420 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI YANG, JINGZHEN GINGER · 2020 to 2024
$3.1M
Intervention to Improve Driving Practices Among High-Risk Teen Drivers - Diversity Supplement ResubmissionR01HD098176 · NICHD · RESEARCH INST NATIONWIDE CHILDREN'S HOSP · PI YANG, JINGZHEN GINGER · 2019 to 2024
$2.7M
NCIPC CDC HHS R49 CE003074NICHD NIH HHS R01 HD098176NICHD NIH HHS R01 HD100420
6 · The paper itself

Abstract

Importance: Motor vehicle crashes are the leading cause of death for US teens. Newer vehicles and driver assistance technologies show promise in reducing crashes and injury severities; however, research on the age and technologies of vehicles driven by teens involved in fatal crashes is limited. Objective: To examine the differences in vehicle age and driver assistance technologies between vehicles driven by teen and middle-aged drivers involved in fatal crashes and to investigate the associations among vehicle age, driver assistance technologies, and driver death in these crashes. Design, Setting, and Participants: This retrospective cohort study used fatal crash data (2016-2021) obtained from the Fatality Analysis Reporting System. Data analysis was restricted to passenger vehicles. Participants included teen drivers (15-18 years old) and middle-aged drivers (31-55 years old). All analyses were performed between December 1, 2023, and July 25, 2024. Exposures: Exposures include the vehicle age (≤5, 6-15, or >15 years) and the number of driver assistance technologies installed (0 to 4). Main Outcomes and Measures: The main outcome was whether the driver died in fatal crashes. Multivariable logistic regressions examined the associations between vehicle age (or driver assistance technologies installed) and driver death in fatal crashes, adjusting for driver sex, restraint use, and crash year. Results: Among 81 145 drivers (49 838 male [61.4%]) involved in fatal crashes, there were 9809 teen drivers (mean [SD] age, 17.2 [0.9] years) and 71 336 middle-aged drivers (mean [SD] age, 41.7 [7.3] years). A higher proportion of teen drivers were operating vehicles older than 15 years compared with middle-aged drivers (2706 drivers [27.6%] vs 16 239 drivers [22.8%]). Driving vehicles aged 6 to 15 years (adjusted risk ratio [aRR], 1.19; 95% CI, 1.17-1.22) or older than 15 years (aRR, 1.31; 95% CI, 1.28-1.34) was associated with significantly higher odds of driver death in fatal crashes compared with driving vehicles 5 years old or newer, independently of driver age. Additionally, each installed driver assistance technology was associated with a 6% reduction (aRR, 0.94; 95% CI, 0.90-0.98) in the risk of driver death in fatal crashes. Conclusions and Relevance: These findings suggest that older vehicles and those with fewer driver assistance technologies are associated with increased risk of driver death in fatal crashes; thus, teens should drive the safest vehicles available, not older family cars. The findings underscore the urgent need to ensure teens drive safer vehicles to protect their lives.

Indexed as

Accidents, TrafficAutomobile DrivingAdolescentAdultAge FactorsFemaleHumansMaleMiddle AgedRetrospective StudiesUnited StatesYoung Adult

Identifiers

PMID40332934
PMCPMC12059974

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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.