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Being physically active with epilepsy: Insights from young people and their parents

2022· article· en· W4306631630 on OpenAlexafffund
Ann Mary Wilfred, Cathy Humphreys, Sarah Patterson, Denver M. Y. Brown, Daniela Pohl, Carinna Moyes, Peter Rosenbaum, Gabriel M. Ronen

Bibliographic record

VenueEpilepsy Research · 2022
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsUniversity of OttawaMcMaster Children's HospitalMcMaster University
FundersPhysicians' Services Incorporated Foundation
KeywordsEpilepsyPsychologyDevelopmental psychologyNeuroscience

Abstract

fetched live from OpenAlex

INTRODUCTION: Researchers have called for innovative tailored interventions to address specific challenges to physical activity (PA) engagement for young people with epilepsy (YPE). Working with YPE and their parents, this study aimed to identify barriers and facilitators to adoption and maintenance of PA among YPE prior to and during the COVID-19 pandemic. METHODS: Ten YPE (all female) and their 13 caregivers, and five additional caregivers to males (N = 18; 72% mothers), completed virtual focus group sessions prior to and during the COVID-19 pandemic. Trained Child Life specialists asked questions about barriers and facilitators of PA engagement experienced by YWE, which included a specific focus on the impact of epilepsy. RESULTS: Thematic analysis of the data identified both epilepsy-specific and generic themes that impact PA participation among YPE. These included: (i) epilepsy experience/impact and accommodation; (ii) safety precautions; (iii) concern about seizures; (iv) social connections and acceptance; (v) parent and family support; (vi) intrapersonal self-regulation and motivation; (vii) health benefits; and (viii) key factors in common with all youth. CONCLUSION: This study provides valuable insight into diverse social-ecological health factors that impact PA participation among YPE from two key stakeholder perspectives (YPE and their caregivers). By understanding these lived experiences, providers can better tailor individual support for YPE and their families to foster and maintain a healthy active lifestyle.

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)0.000
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 score0.016
Threshold uncertainty score0.962

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.031
GPT teacher head0.323
Teacher spread0.291 · 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

Citations16
Published2022
Admission routes2
Has abstractyes

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