Evidence map›Paper›PMID 35665832›Full record

ArticleTranslational behavioral medicine2022

Improving active travel to school and its surveillance: an overlooked opportunity in health promotion and chronic disease prevention.

Stephanie M George, Sarah A Sliwa, Kelly A Cornett, Van Do, Andrew A Bremer, David Berrigan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational behavioral medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Stephanie M GeorgeDivision of Extramural Research, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, MD 20892, USA.ORCID 0000-0002-6783-139X
Sarah A SliwaSchool Health Branch, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention,  Atlanta, GA 30341, USA.
Kelly A CornettSchool Health Branch, Division of Population Health, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention,  Atlanta, GA 30341, USA.
Van DoFHI 360, Washington, DC 20009, USA.
Andrew A BremerDivision of Extramural Research, Pediatric Growth and Nutrition Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA.
David BerriganBehavioral Research Program, Division of Cancer Control and Population Sciences, National Cancer Institute, National Institutes of Health, Bethesda, MD 20892, USA.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Increasing active travel to school (ATS) could reduce the deficit in youth physical activity participation; however, surveillance of ATS is limited. Given that ATS contributes to our understanding of children's physical activity patterns nationwide, is influenced by local contexts and state laws, and occurs within communities, surveillance could be informative at the national, state, and local levels. Following a National Collaborative on Childhood Obesity Research workshop, this commentary offers insights into strengthening surveillance and data collection of ATS behavior as well as ATS environmental, policy, and program supports.

Indexed as

Pediatric ObesityAdolescentChildChronic DiseaseExerciseHealth PromotionHumansSchoolsActive travelMeasurementPhysical activityPublic healthSchoolYouth

Identifiers

PMID35665832
PMCPMC9653005

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.