MétaCan
Menu
Back to cohort
Record W4408320230 · doi:10.1590/1809-2950/e24004124en

Association between walkability and physical activity among children and adolescents: a systematic review

2024· review· en· W4408320230 on OpenAlexaboutno aff
G. Bruno, Felipe Mendes Delpino, Ludmila Pereira Pimenta, Clécio Homrich da Silva, Elza Daniel de Mello

Bibliographic record

VenueFisioterapia e Pesquisa · 2024
Typereview
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsWalkabilityAssociation (psychology)MedicinePhysical activityPsychologyPhysical therapyPsychotherapist

Abstract

fetched live from OpenAlex

ABSTRACT Housing conditions in a neighborhood may be associated with physical activity among children and adolescents. This study aimed to evaluate the association between walkability and physical activity levels in children and adolescents. We conducted a systematic review, searching for articles published until April 2023 in the following databases: PubMed, SPORTDiscus, LILACS, Web of Science, Scopus, Embase, and Cochrane. It included studies that evaluated the association between walkability and physical activity among children and adolescents. The Newcastle Ottawa scale was used to assess the individual quality of the studies. In total, 35 studies were included, 5 longitudinal. The sample size ranged from 143 to 45,392 participants. Most of the studies found a positive association between walkability and physical activity, ~86%. Of the 19 studies that evaluated physical activity using objective methods (most of them accelerometers), 74% found positive results; for subjective methods, the percentage was 94%. Walkability was positively associated with higher levels of physical activity among children and adolescents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.018
GPT teacher head0.322
Teacher spread0.303 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueFisioterapia e PesquisaSame topicObesity, Physical Activity, DietFrench-language works237,207