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Record W4388153333 · doi:10.1016/j.pmedr.2023.102488

Reported barriers to physical activity and the role of built environment among overweight and obese youth attending a Canadian pediatric weight management clinic

2023· article· en· W4388153333 on OpenAlexaffabout
Robert Shyleyko, Paola De Luca, Michelle Jackman, Josephine Ho

Bibliographic record

VenuePreventive Medicine Reports · 2023
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsOverweightRecreationPhysical activityMedicinePopulationObesityGerontologyFamily medicineEnvironmental healthPhysical therapy

Abstract

fetched live from OpenAlex

Objective: To assess activity levels and role of the built environment among overweight and obese youth referred to a pediatric weight management clinic. Design: A cross-sectional study using a caregiver-administered survey was completed from October 2017 to February 2018. Results: The study analyzed 210 surveys. Participants were 52 % male and average age was 11.6 years (3-18 years). Of those surveyed, 73 % of respondents reported ≥ 2 h of average daily screen time in the past 3 months, and 74 % of children partook in < 60 min of daily physical activity of any intensity. The most common location for physical activity was a recreational facility. The least common was nearby green spaces. Moreover, 77 % of caregivers felt that their child did not engage in enough physical activity, and the most common cited barrier was motivation. The built environment, however, was not cited as a barrier to active living as 90 % of caregivers reported their community was safe, and greater than 80 % of caregivers agreed their community was aesthetically beautiful, well connected with good infrastructure. The majority of commonly used spaces were located within 2 km of their home, however, it was uncommon for children to walk or bike to them. Conclusion: Overweight and obese children referred to our clinic are not meeting national recommendations for physical activity and screen time. The built environment does not appear to be a large contributing factor to decreased physical activity in this population and the most common reason cited for lack of physical activity was motivation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.270
Teacher spread0.257 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations5
Published2023
Admission routes2
Has abstractyes

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