Evidence map›Paper›PMID 31921574›Full record

ArticlePreventive medicine reports2020

U.S. active school travel in 2017: Prevalence and correlates.

Eleftheria Kontou, Noreen C McDonald, Kristen Brookshire, Nancy C Pullen-Seufert, Seth LaJeunesse

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
11.0field-weighted citation impact, top 2% 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

24 citing papers in PubMed, 86 citations in OpenAlex.

  1. Trial
  2. Evaluation of a walking school bus program: a cluster randomized controlled trial.The international journal of behavioral nutrition and physical activity · 2024
    Trial
  3. Article
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  10. The Built Environment and Childhood Obesity.Pediatric clinics of North America · 2024
    Review
  11. Article
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  16. Article
  17. Article
  18. Article
  19. School-Level Economic Disparities in Police-Reported Crimes and Active Commuting to School.International journal of environmental research and public health · 2021
    Article
  20. 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

5 authors at 1 institution in 1 country.

Eleftheria KontouDepartment of City and Regional Planning, University of North Carolina at Chapel Hill, New East Building, CB3140, Chapel Hill NC 27599, USA.
Noreen C McDonaldDepartment of City and Regional Planning, University of North Carolina at Chapel Hill, New East Building, CB3140, Chapel Hill NC 27599, USA.
Kristen BrookshireThe University of North Carolina Highway Safety Research Center, 730 M.L.K. Jr Blvd, Chapel Hill NC 27514, USA.
Nancy C Pullen-SeufertThe University of North Carolina Highway Safety Research Center, 730 M.L.K. Jr Blvd, Chapel Hill NC 27514, USA.
Seth LaJeunesseThe University of North Carolina Highway Safety Research Center, 730 M.L.K. Jr Blvd, Chapel Hill NC 27514, USA.
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Active transportation to school (ATS), denoting walking and biking, is crucial to promote physical activity for youth. This study uses data from the 2017 National Household Travel Survey (NHTS) to report on the most recent and nationally representative school transportation patterns. Binary logit modeling determines significant factors associated with school travel mode choices. Spatial differences on school mode choices across the US are explored. In 2017 9.6% of the students of 5-17 years old usually walked and 1.1% biked to school. For students who usually walk to school, 77.5% of their school trips were less than one mile and, among usual bikers to school, 82.8% of trips were less than two miles. Student rates of walking to school decreased as the distance to school increased and biking rates peaked when distance to school was between 0.5 and 1 miles. When distance to school was <0.5 miles, walking was the most common mode for urban and rural regions. When the trip was shorter than or equal to one mile, factors such child's school grade, household vehicles per driver, and household income were associated with the decision to walk or bike to school. Other demographic characteristics like race and gender were not significantly related to ATS. While comparison across NHTS years should be viewed with caution due to changes in survey methodology, the decline of ATS rates indicate that more effective and higher reaching efforts for local, regional, and national interventions should be prioritized.

Indexed as

Active transportationATS, active transportation to schoolBicyclingCBSA, Core-Based Statistical AreaChildrenMode choiceNHTS, National Highway Travel SurveySchool travelSRTS, Safe Routes to SchoolWalking

Identifiers

PMID31921574
PMCPMC6948264
OpenAlexW2996240465

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.