Evidence map›Paper›PMID 26890078›Full record

ArticleAccident; analysis and prevention2016

The role of Body Mass Index in child pedestrian injury risk.

Elizabeth E O'Neal, Jodie M Plumert, Leslie A McClure, David C Schwebel

Abstract read
In one paragraph

Article in Accident; analysis and prevention, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Roles of individual differences and traffic environment factors on children's street-crossing behaviour in a VR environment.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2020
    Article
  3. Article
  4. 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

4 authors.

Elizabeth E O'NealThe University of Iowa, 11 Seashore Hall East, Iowa City, IA 52242, USA. Electronic address: elizabeth-oneal@uiowa.edu.
Jodie M PlumertThe University of Iowa, 11 Seashore Hall East, Iowa City, IA 52242, USA.
Leslie A McClureUniversity of Alabama at Birmingham, Heritage Hall 571, 1720 2nd Ave S, Birmingham, AL 35233, USA.
David C SchwebelUniversity of Alabama at Birmingham, Heritage Hall 571, 1720 2nd Ave S, Birmingham, AL 35233, USA.

Funding

Using Virtual Reality to Train Children in Pedestrian SafetyR01HD058573 · NICHD · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SCHWEBEL, DAVID C · 2009 to 2012
$1.3M
NICHD NIH HHS R01 HD058573
6 · The paper itself

Abstract

The goal of the current investigation was to examine obesity as a potential risk factor for childhood pedestrian injury. A racially diverse sample of 7- and 8-year-old children completed a road-crossing task in a semi-immersive virtual environment and two pedestrian route selection tasks. Multiple linear regression analyses revealed that children with a higher Body Mass Index (BMI) waited less before crossing, had a smaller temporal buffer between themselves and oncoming traffic while crossing, and had more collisions with traffic. Girls were more cautious than boys when crossing the virtual roadway. Unlike the results from the virtual road-crossing task, BMI was not associated with risky route selection. Instead, race emerged as the strongest predictor, with African-American children selecting riskier routes for crossing. Together, these findings suggest overweight and obese children may be at increased risk for pedestrian injury. The discussion considers explanations for why obese children may exhibit riskier road-crossing behavior.

Indexed as

Accidents, TrafficBody Mass IndexPedestriansChildFemaleHumansMaleRisk FactorsRisk-TakingSex FactorsTask Performance and AnalysisChild pedestrian injuryInjury riskObesityRoad crossing

Identifiers

PMID26890078
PMCPMC4827859

What OpenQuestion holds

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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.