Evidence map›Paper›PMID 37330863›Full record

ArticleJournal of safety research2023

Variation in drivers' seat belt use by indicators of community-level vulnerability.

Emma B Sartin, Leah R Lombardi, Kristina B Metzger, Rachel K Myers, Melissa R Pfeiffer, Allison E Curry

Open access · greenAbstract read
In one paragraph

Article in Journal of safety research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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

6 authors at 1 institution in 1 country.

Emma B SartinCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States. Electronic address: sartine@chop.edu.
Leah R LombardiCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Kristina B MetzgerCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Rachel K MyersCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Division of Emergency Medicine, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Melissa R PfeifferCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States.
Allison E CurryCenter for Injury Research and Prevention, Children's Hospital of Philadelphia, Philadelphia, PA, United States; Division of Emergency Medicine, Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Children's Hospital of Philadelphia · US

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

introductionExamining crash reports with linked community-level indicators may optimize efforts aimed at improving traffic safety behaviors, like seat belt use. To examine this, quasi-induced exposure (QIE) methods and linked data were used to (a) estimate trip-level seat belt non-use of New Jersey (NJ) drivers and (b) determine the degree to which seat belt non-use is associated with community-level indicators of vulnerability.

methodDriver-specific characteristics were identified from crash reports (age, sex, number of passengers, vehicle type) and licensing data (license status at the time of the crash). Geocoded residential addresses were leveraged within the NJ Safety and Health Outcomes warehouse to create quintiles of community-level vulnerability. QIE methods were applied to estimate trip-level prevalence of seat belt non-use in non-responsible, crash-involved drivers between 2010-2017 (n = 986,837). Generalized linear mixed models were then conducted to calculate adjusted prevalence ratios and 95 % confidence intervals for being unbelted for driver-specific variables and community-level indicators of vulnerability.

resultsDrivers were unbelted during 1.2 % of trips. Males, those with suspended licenses, and those without passengers had higher rates of being unbelted than their counterparts. An increase was observed in traveling unbelted with increasing quintiles of vulnerability, such that drivers in the most vulnerable communities were 121 % more likely to be unbelted than those in the least vulnerable communities.

conclusionsPrevalence of driver seat belt non-use may be lower than previously estimated. Additionally, communities with the highest amount of the population living with three or more indicators of vulnerability have higher rates of seat belt non-use; this may be a particularly useful metric to inform future translational efforts improving seat belt use. PRACTICAL APPLICATIONS: As evidenced by the findings that risk of being unbelted increased as drivers' community vulnerability increased, novel communication efforts tailored to drivers from vulnerable neighborhoods may optimize efforts.

Indexed as

Accidents, TrafficSeat BeltsHumansLinear ModelsMaleNew JerseyTravelCommunity Resilience EstimatesHealth behaviorsMotor vehiclesRisk factorsTraffic injury

Identifiers

PMID37330863
PMCPMC10279970
OpenAlexW4319593114

What OpenQuestion holds

Textmetadata
LicenceTDM
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.