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Record W4391873310 · doi:10.1093/jcag/gwad061.246

A246 EXAMINING BARRIERS TO PHYSICAL ACTIVITY IN PEDIATRIC INFLAMMATORY BOWEL DISEASE PATIENTS

2024· article· en· W4391873310 on OpenAlexaff
Suzanne N. Morin, Madelyn M. Byra, Robert M. Issenman, Brian W. Timmons, Joyce Obeid

Bibliographic record

VenueJournal of the Canadian Association of Gastroenterology · 2024
Typearticle
Languageen
FieldMedicine
TopicMicroscopic Colitis
Canadian institutionsMcMaster University
Fundersnot available
KeywordsInflammatory bowel diseaseMedicineInflammatory Bowel DiseasesGastroenterologyDiseaseIntensive care medicinePhysical therapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background Inflammatory bowel disease (IBD) poses significant challenges to pediatric patients, affecting their physical and psychological well-being. Physical activity can be an essential component of managing IBD, yet its adoption among this population remains suboptimal. Understanding the factors that influence physical activity levels in youth with IBD, particularly barriers to engagement, is crucial. Aims (1) Describe physical activity levels in pediatric IBD, and (2) assess the relationship between physical activity and barriers to physical activity in youth with IBD. Methods We recruited patients between the ages of 7-17 years with a single confirmed diagnosis of IBD. Participants completed a barriers to physical activity questionnaire adapted from Zabinski et al. (2003). Each item was scored on a scale from 1 to 5, to yield a total barriers score and subdomain scores for body-related, convenience, resource, social, fitness, and disease-related barriers; each score presented as an average out of 5. Lower scores indicated lower barrier burden. Participants also wore accelerometers during waking hours for 7 consecutive days to quantify daily average total physical activity (TPA), light physical activity (LPA), and moderate-to-vigorous physical activity (MVPA). Descriptive statistics and multiple regression analyses were used to determine the relationship between physical activity and barriers to physical activity. Results Forty-nine youth completed the study (31% females; age: 14.77±1.98 years). Physical activity levels were low (TPA: 146.6±49.5 min/day; LPA: 104.2±33.4 min/day; MVPA: 42.4±21.2 min/day), with only 21% of participants meeting the 24-hour movement guidelines of 60 min/day of MVPA. Total and resource barriers both significantly predicted TPA (total: β=-47.76, p=0.004; resource: β=-48.30, pampersand:003C0.001), LPA (total: β=-29.01, p=0.01; resource: β=-29.68, pampersand:003C0.001), and MVPA (total: β=-18.75, p=0.01; resource: β=-18.62, pampersand:003C0.001). Fitness barriers significantly predicted TPA (β=-41.48, p=0.016) and MVPA (β=-22.01, p=0.008). Body-related, convenience, social, and disease-related barriers did not significantly predict TPA, LPA, or MVPA. Conclusions Our findings confirmed that youth with IBD are not engaging in enough physical activity. Importantly, we found those with higher total barrier, resource- and fitness-related barriers presented with 18-48 fewer minutes of daily physical activity. These findings highlight the need for tailored interventions aimed at reducing specific barriers to support physical activity participation in youth with IBD. Funding Agencies None

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.006
GPT teacher head0.238
Teacher spread0.232 · 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 designQualitative
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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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