Evidence map›Paper›PMID 32851883›Full record

ArticleTraffic injury prevention2020

Vehicle safety characteristics in vulnerable driver populations.

Kristina B Metzger, Emma Sartin, Robert D Foss, Nina Joyce, Allison E Curry

Abstract read
In one paragraph

Article in Traffic injury prevention, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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.

Kristina B MetzgerCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Emma SartinCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.
Robert D FossUniversity of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Nina JoyceBrown University, Providence, Rhode Island.
Allison E CurryCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania.

Funding

Population-Level Estimates of Young Drivers' Engagement in Risky Driving Behaviors and Motor Vehicle Crash Risk: An Innovative Method to Adjust for Driving ExposureR21HD098276 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI CURRY, ALLISON ELIZABETH · 2019 to 2020
$495k
Catalyzing Young Driver Research via Data Linkage: Development of a Comprehensive Traffic Safety Data WarehouseR21HD092850 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI CURRY, ALLISON ELIZABETH · 2017 to 2018
$487k
NICHD NIH HHS R21 HD092850NICHD NIH HHS R21 HD098276
6 · The paper itself

Abstract

objectiveNational data suggest drivers who are younger, older, and have lower socioeconomic status (SES) have heightened crash-related injury rates. Ensuring vulnerable drivers are in the safest vehicles they can afford is a promising approach to reducing crash injuries in these groups. However, we do not know the extent to which these drivers are disproportionately driving less safe vehicles. Our objective was to obtain population-based estimates of the prevalence of important vehicle safety criteria among a statewide population of drivers.

methodsWe analyzed data from the NJ Safety and Health Outcomes warehouse, which includes all licensing and crash data from 2010-2017. We borrowed the quasi-induced exposure method's fundamental assumption-that non-responsible drivers in clean (i.e., only one responsible driver) multi-vehicle crashes are reasonably representative of drivers on the road-to estimate statewide prevalence of drivers' vehicle characteristics across four driver age groups (17-20; 21-24; 25-64, and ≥65) and quintiles of census tract median household income (n = 983,372). We used NHTSA's Product Information Catalog and Vehicle Listing platform (vPIC) to decode the VIN of each crash-involved vehicle to obtain model year, presence of electronic stability control (ESC), vehicle type, engine horsepower, and presence of front, side, and curtain air bags.

resultsThe youngest and oldest drivers were more likely than middle-aged drivers to drive vehicles that were older, did not have ESC, and were not equipped with side airbags. Additionally, across all age groups drivers of higher SES were in newer and safer vehicles compared with those of lower SES. For example, young drivers living in lowest-income census tracts drove vehicles that were on average almost twice as old as young drivers living in highest-income tracts (median [IQR]: 11 years [6-14] vs. 6 years [3-11]).

conclusionsVehicle safety is an important component of seminal road safety philosophies that aim to reduce crash fatalities. However, driver groups that are overrepresented in fatal crashes-young drivers, older drivers, and those of lower SES-are also driving the less safe vehicles. Ensuring drivers are in the safest car they can afford should be further explored as an approach to reduce crash-related injuries among vulnerable populations.

Indexed as

Accidents, TrafficAdolescentAdultAgedFemaleHumansMaleMiddle AgedMotor VehiclesSafetySocioeconomic FactorsVulnerable PopulationsWounds and InjuriesYoung AdultAutomobile drivingolder driversteen driverstraffic accidentsvehicle safetyyoung drivers

Identifiers

PMID32851883
PMCPMC7910315

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Registered trials

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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.