Evidence map›Paper›PMID 41640286›Full record

ArticlePediatric obesity2026

Residential Neighbourhood Environments and Health Behaviours Among Children and Adolescents Initiating Obesity Management Care: Secondary Analyses of Data From the CANadian Paediatric Weight Management Registry (CANPWR).

Yujia Tang, Sonia Semenic, Aurélie Baillot, Mylène Riva, Geoff D C Ball, Stasia Hadjiyannakis, Jill Hamilton, Josephine Ho, Laurent Legault, Ian Zenlea and 2 more

Abstract read
In one paragraph

Article in Pediatric obesity, 2026. 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

12 authors.

Yujia TangIngram School of Nursing, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0001-6479-2623
Sonia SemenicIngram School of Nursing, McGill University, Montreal, Canada.
Aurélie BaillotÉcole interdisciplinaire de la santé, Université du Québec en Outaouais, Gatineau, Canada.
Mylène RivaDepartment of Geography, McGill University, Montreal, Canada.
Geoff D C BallDepartment of Paediatrics, Faculty of Medicine & Dentistry, College of Health Sciences, University of Alberta, Edmonton, Canada.
Stasia HadjiyannakisDepartment of Paediatrics, University of Ottawa, CHEO'S Centre for Healthy Active Living, Ottawa, Canada.
Jill HamiltonDepartment of Paediatrics, University of Toronto, Sick Kids Hospital, Toronto, Canada.
Josephine HoDepartment of Paediatrics, Cumming School of Medicine, University of Calgary, Alberta Children's Hospital, Calgary, Canada.ORCID https://orcid.org/0000-0003-0379-4427
Laurent LegaultFaculty of Medicine and Health Sciences, McGill University, Montreal Children's Hospital of the McGill University Health Center, Montreal, Canada.
Ian ZenleaInstitute for Better Health, Trillium Health Partners, Mississauga, Canada.
Katherine M MorrisonPopulation Health Research Institute, Department of Pediatrics, Centre for Metabolism, Obesity and Diabetes Research, McMaster University, Hamilton, Canada.
Andraea Van HulstIngram School of Nursing, McGill University, Montreal, Canada.ORCID https://orcid.org/0000-0002-5743-4876

Funding

CIHRMcMaster Children's HospitalMcMaster UniversityPopulation Health Research Institute (PHRI)
6 · The paper itself

Abstract

objectiveExamine associations between neighbourhood characteristics and health behaviours (physical activity, screen time, sleep duration) in boys and girls initiating obesity management care across Canada.

methodsWe analysed cross-sectional data from the CANadian Paediatric Weight management Registry (2013-2017) for 803 participants (with overweight or obesity; 5-17 years old). Questionnaire-assessed health behaviours included total physical activity (PA), organised PA outside of school, screen time, and sleep duration. Total PA was classified as high vs. low based on current recommendations, organised PA as high vs. low based on average attained levels for Canadian children, and screen time and sleep duration as meeting vs. not meeting recommendations. Neighbourhood characteristics (walkability, greenness, material and social deprivation) were computed for the first three digits of residential postal codes. Covariate-adjusted associations were examined using generalised estimating equations stratified by sex.

resultsParticipants (50% boys; mean ± SD: age, 11.9 ± 3.1 years; BMI z-score, 3.28 ± 1.06) living in low (vs. high) social deprivation neighbourhoods were more likely to engage in high total PA, particularly among boys (PR = 1.32, 95% CI: 1.01, 1.73). Boys living in neighbourhoods with high (vs. low) walkability (PR = 3.56, 95% CI: 1.97, 6.44) and higher greenness (PR = 1.72, 95% CI: 1.17, 2.64) were more likely to engage in high organised PA. Girls living in neighbourhoods with very low (vs. high) material deprivation were more likely to engage in high organised PA (PR = 4.17, 95% CI: 1.52, 11.45). No associations were found for screen time or sleep duration.

conclusionsThis study adds to the evidence linking neighbourhood environments to health behaviours in children and adolescents living with obesity and who are initiating obesity management care. Specifically, less social deprivation and greater walkability and greenness were associated with higher PA among boys, while less material deprivation was linked to higher PA among girls.

Indexed as

Health BehaviorNeighborhood CharacteristicsPediatric ObesityResidence CharacteristicsAdolescentCanadaChildChild, PreschoolCross-Sectional StudiesExerciseFemaleHumansMaleRegistriesScreen TimeSleep Durationbuilt environmentchildhood obesitymovement behavioursphysical activityscreen timesleep

Identifiers

PMID41640286
PMCPMC12873556

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.