Evidence map›Paper›PMID 27152191›Full record

ArticleInternational journal of obesity supplements2015

Are the correlates of active school transport context-specific?

R Larouche, O L Sarmiento, S T Broyles, K D Denstel, T S Church, T V Barreira, J-P Chaput, M Fogelholm, G Hu, R Kuriyan and 13 more

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of obesity supplements, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
13.7field-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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
  5. Observational
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Development and validation of the neighborhood environment walkability scale for youth across six continents.The international journal of behavioral nutrition and physical activity · 2019
    Article
  17. Review
  18. Article
  19. 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

23 authors at 10 institutions in 10 countries.

R LaroucheChildren's Hospital of Eastern Ontario Research Institute , Ottawa, Ontario, Canada.
O L SarmientoSchool of Medicine, Universidad de los Andes , Bogotá, Colombia.
S T BroylesPennington Biomedical Research Center , Baton Rouge, LA, USA.
K D DenstelPennington Biomedical Research Center , Baton Rouge, LA, USA.
T S ChurchPennington Biomedical Research Center , Baton Rouge, LA, USA.
T V BarreiraPennington Biomedical Research Center, Baton Rouge, LA, USA; Syracuse University, Syracuse, NY, USA.
J-P ChaputChildren's Hospital of Eastern Ontario Research Institute , Ottawa, Ontario, Canada.
M FogelholmDepartment of Food and Environmental Sciences, University of Helsinki , Helsinki, Finland.
G HuPennington Biomedical Research Center , Baton Rouge, LA, USA.
R KuriyanSt. Johns Research Institute , Bangalore, India.
A KurpadSt. Johns Research Institute , Bangalore, India.
E V LambertDepartment of Human Biology, Faculty of Health Sciences, Division of Exercise Science and Sports Medicine, University of Cape Town , Cape Town, South Africa.
C MaherAlliance for Research In Exercise Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia , Adelaide, South Australia, Australia.
J MaiaCIFI2D, Faculdade de Desporto, University of Porto , Porto, Portugal.
V MatsudoCentro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul (CELAFISCS) , Sao Paulo, Brazil.
T OldsAlliance for Research In Exercise Nutrition and Activity (ARENA), School of Health Sciences, University of South Australia , Adelaide, South Australia, Australia.
V OnyweraDepartment of Recreation Management and Exercise Science, Kenyatta University , Nairobi, Kenya.
M StandageDepartment of Health, University of Bath , Bath, UK.
M S TremblayChildren's Hospital of Eastern Ontario Research Institute , Ottawa, Ontario, Canada.
C Tudor-LockePennington Biomedical Research Center, Baton Rouge, LA, USA; Department of Kinesiology, University of Massachusetts Amherst, Amherst, Massachusetts, USA.
P ZhaoTianjin Women's and Children's Health Center , Tianjin, China.
P T KatzmarzykPennington Biomedical Research Center , Baton Rouge, LA, USA.
ISCOLE Research Group
Pennington Biomedical Research Center · USChildren's Hospital of Eastern Ontario · CAUniversity of South Australia · AUCentro de Estudos do Laboratório de Aptidão Física de São Caetano do Sul · BRKenyatta University · KETianjin Children's Hospital · CNUniversidad de Los Andes · COUniversidade do Porto · PTUniversity of Bath · GBUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrevious research consistently indicates that children who engage in active school transport (AST) are more active than their peers who use motorized modes (car or bus). However, studies of the correlates of AST have been conducted predominantly in high-income countries and have yielded mixed findings. Using data from a heterogeneous sample of 12 country sites across the world, we investigated the correlates of AST in 9-11-year olds.

methodsThe analytical sample comprised 6555 children (53.8% girls), who reported their main travel mode to school and the duration of their school trip. Potential individual and neighborhood correlates of AST were assessed with a parent questionnaire adapted from previously validated instruments. Multilevel generalized linear mixed models (GLMM) were used to examine the associations between individual and neighborhood variables and the odds of engaging in AST while controlling for the child's school. Site moderated the relationship of seven of these variables with AST; therefore we present analyses stratified by site.

resultsThe prevalence of AST varied from 5.2 to 79.4% across sites and the school-level intra-class correlation ranged from 0.00 to 0.56. For each site, the final GLMM included a different set of correlates of AST. Longer trip duration (that is, ⩾16 min versus ⩽15 min) was associated with lower odds of AST in eight sites. Other individual and neighborhood factors were associated with AST in three sites or less.

conclusionsOur results indicate wide variability in the prevalence and correlates of AST in a large sample of children from twelve geographically, economically and culturally diverse country sites. This suggests that AST interventions should not adopt a 'one size fits all' approach. Future research should also explore the association between psychosocial factors and AST in different countries.

Identifiers

PMID27152191
PMCPMC4850626
OpenAlexW1777530797

What OpenQuestion holds

Textmetadata
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.