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Record W7132985120

Association and Impact of the Physical Environment on Physical Activity and Sedentary Behaviours in an Asthmatic Pediatric Population

2025· dissertation· W7132985120 on OpenAlexaffabout
Giorge Thomas Voutsas

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAsthmaPhysical activityAnthropometryPopulationActigraphySedentary lifestyleProspective cohort studyPhysical activity levelObesity
DOInot available

Abstract

fetched live from OpenAlex

Association and Impact of the Physical Environment on Physical Activity and Sedentary Behaviours in an Asthmatic Pediatric PopulationGiorge Voutsas Doctor of Philosophy Institute of Medical Science University of Toronto 2025 Abstract Background: Asthma prevalence has increased worldwide in recent decades, resulting in extensive use of emergency care services that significantly contribute to burdens on the healthcare system. Lifestyle factors, notably decreased physical activity (PA) and increased sedentary behaviour, are implicated in increased asthma severity and prevalence. However, the amount and intensity of PA in children with severe asthma are not well described, and the factors contributing to decreased PA are not well understood. This study aims to characterize the full movement spectrum over 24 hours and identify risk factors that may modify physical activity (PA) in children with severe asthma. Methods: This prospective cross-sectional study compared two age- and sex-matched groups aged 7 to 10 years: a group with severe asthma and a healthy control group. Anthropometric measurements were collected, and subjects were provided with the GT3X accelerometer and GPS devices to be worn simultaneously for seven consecutive days and nights, following a 24-hour protocol. The GT3X device evaluated wake-sleep cycles across all age groups, providing objective measures of physical activity (PA) intensities and sleep using age-specific, validated cut-off points. GPS devices objectively assessed the impact of the physical environment as the primary moderator influencing PA participation. Furthermore, specific barriers and facilitators to physical activity (PA) in pediatric asthma were assessed through qualitative interviews and structured surveys. Results: Children with uncontrolled severe asthma did not significantly differ in their participation of weekly mean MVPA compared to controls (92.3 minutes [85.3-122.6] vs. 110.2 minutes [86.3-132.7], p=0.38), while increased weekly mean sedentary time (490.3 minutes [452.9-536.8] vs. 441.6 minutes [364.3-518.3], p=0.06) was seen in uncontrolled severe asthma phenotypes. Physical environment was not found to have an impact on PA participation in this population. Additionally, we found that social pressure may act as a significant facilitator of PA for children, while parents often restrict activities due to concerns about exacerbating symptoms. By identifying the factors that impact PA behaviours in children with severe asthma, this research provides the foundation for future studies to develop tailored PA interventions and specific guidelines for safe exercise, with a personalized approach to exercise prescription for this population.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.339
Teacher spread0.329 · 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 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

Citations0
Published2025
Admission routes2
Has abstractyes

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