Evidence map›Paper›PMID 33502744›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2021

Are school-based measures of walkability and greenness associated with modes of commuting to school? Findings from a student survey in Ontario, Canada.

Susanna Abraham Cottagiri, Margaret De Groh, Sebastian A Srugo, Ying Jiang, Hayley A Hamilton, Nancy A Ross, Paul J Villeneuve

Open access · greenAbstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Correlates of Active Commuting to School among Portuguese Adolescents: An Ecological Model Approach.International journal of environmental research and public health · 2022
    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

7 authors at 4 institutions in 1 country.

Susanna Abraham CottagiriSchool of Mathematics and Statistics, Carleton University, Ottawa, ON, K1S 5B6, Canada. SusannaAbrahamCottagiri@cunet.carleton.ca.ORCID 0000-0001-8418-377X
Margaret De GrohCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, K1S 5H4, Canada.
Sebastian A SrugoCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, K1S 5H4, Canada.
Ying JiangCentre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, ON, K1S 5H4, Canada.
Hayley A HamiltonInstitute for Mental Health Policy Research, Centre for Addiction and Mental Health, Toronto, ON, M5S 2S1, Canada.
Nancy A RossDepartment of Geography, McGill University, Montreal, Quebec, H3A 0B9, Canada.
Paul J VilleneuveSchool of Mathematics and Statistics, Carleton University, Ottawa, ON, K1S 5B6, Canada.
Public Health Agency of Canada · CAMcGill University · CACarleton University · CACentre for Addiction and Mental Health · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesIn Canada, students are increasingly reliant on motorized vehicles to commute to school, and few meet the recommended overall physical activity guidelines. Infrastructure and built environments around schools may promote active commuting to and from school, thereby increasing physical activity. To date, few Canadian studies have examined this research question.

methodsThis study is a cross-sectional analysis of 11,006 students, aged 11-20, who participated in the 2016/2017 Ontario Student Drug Use and Health Survey. The remote sensing-derived Normalized Difference Vegetation Index (NDVI), at a buffer of 500 m from the schools' locations, was used to characterize greenness, while the 2016 Canadian Active Living Environments (Can-ALE) measure was used for walkability. Students were asked about their mode of regular commuting to school, and to provide information on several socio-demographic variables. Multivariable logistic regression models were used to quantify associations between active commuting and greenness and the Can-ALE. The resulting odds ratios, and their 95% confidence intervals, were adjusted for a series of risk factors that were collected from the survey.

resultsOverall, 21% of students reported active commuting (biking or walking) to school, and this prevalence decreased with increasing age. Students whose schools had higher Can-ALE scores were more likely to be active commuters. Specifically, the adjusted odds ratio (OR) of being an active commuter for schools in the highest quartile of the Can-ALE was 2.11 (95% CI = 1.64, 2.72) when compared with those in the lowest. For children, aged 11-14 years, who attended schools in high dwelling density areas, a higher odds of active commuting was observed among those in the upper quartile of greenness relative to the lowest (OR = 1.41; 95% CI = 0.92, 2.15). In contrast, for lower dwelling density areas, greenness was inversely associated with active commuting across all ages.

conclusionOur findings suggest that students attending schools with higher Can-ALE scores are more likely to actively commute to school, and that positive impacts of greenness on active commuting are evident only in younger children in more densely populated areas. Future studies should collect more detailed data on residential measures of the built environment, safety, distance between home and school, and mixed modes of commuting behaviours.

Indexed as

Residence CharacteristicsSchoolsStudentsTransportationAdolescentChildCross-Sectional StudiesHumansOntarioSurveys and QuestionnairesYoung AdultActive commutingActive living environmentsGreennessSurveyYouth

Identifiers

PMID33502744
PMCPMC7910329
OpenAlexW3124047705

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.