Evidence map›Paper›PMID 40474313›Full record

ArticleJournal of activity, sedentary and sleep behaviors2025

Distinguishing associations between neighbourhood features and physical inactivity, sedentary behaviour time, and screen time in boys and girls.

Ana Andreea Lungu, Adrian E Ghenadenik, Andraea Van Hulst, Marie-Eve Mathieu, Melanie Henderson, Yan Kestens, Tracie A Barnett

Abstract read
In one paragraph

Article in Journal of activity, sedentary and sleep behaviors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ana Andreea LunguDepartment of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Adrian E GhenadenikDepartment of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Andraea Van HulstIngram School of Nursing, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada.
Marie-Eve MathieuSchool of Kinesiology and Physical Activity Sciences, Faculty of Medicine, Université de Montréal, Montreal, QC, Canada.
Melanie HendersonCentre de Recherche Azrieli CHU Sainte-Justine, Montreal, QC, Canada.
Yan KestensSchool of Public Health, Department of Social and Preventive Medicine, Université de Montréal, Montreal, QC, Canada.
Tracie A BarnettDepartment of Family Medicine, Faculty of Medicine and Health Sciences, McGill University, Montreal, QC, Canada. tracie.barnett@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePhysical inactivity (PI), sedentary behaviour time (SB) and screen time (ST) are related but distinct behaviors for which separate research and environmental intervention frameworks may be warranted. We examined associations between neighbourhood features and PI/SB/ST among boys and girls at risk of obesity at two timepoints, i.e., childhood (8-10 years old) and pre-adolescence (10-12 years old).

methodsData were from the QUALITY cohort, an ongoing study of the natural history of obesity in 630 Quebec families. Based on accelerometry, excess PI was defined as accumulating < 60 min/day of moderate to vigorous physical activity and excess SB as recording < 100 counts per minute for > 50% of wear time, and excess ST was based on self report and defined as reporting > 2 h/day of recreational ST. Neighbourhood features including presence of physical activity installations, green space, walkability, traffic indicators, physical disorder and foodscape indicators were measured using direct observation and geographic information systems. Neighbourhood features were measured when children were 8-10 years of age. Separate logistic regression models were estimated at each time point. Models controlled for child's age, parental BMI, parental education, and area-level material deprivation.

resultsThe odds of excess ST were lower in neighbourhoods with a higher number of parks, across all age and sex groups [ORs ranging from 0.70 (95% CI: 0.54-0.91) to 0.81(95% CI: 0.65-1.01)]. Among boys, the odds of excess SB were lower in neighbourhoods with more physical activity structures (OR: 0.44; 95% CI: 0.20-0.99); among girls, the odds of excess SB were lower in neighbourhoods with more sidewalks (OR: 0.67, 95% CI 0.47-0.95) and those that were exclusively residential (OR: 0.13, 95% CI: 0.04-0.45). Few neighbourhood features were associated with PI.

conclusionOur findings suggest that PI, SB and ST have both shared and distinct environmental determinants among children with parental obesity. While different patterns are likely to emerge across diverse contexts and populations, it remains relevant to consider that transforming specific features of the built environment may be more effective for some outcomes than others, and may not benefit all groups equally.

Indexed as

Built environmentPhysical inactivityScreen timeSedentary behaviourYouth

Identifiers

PMID40474313
PMCPMC12139349

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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.