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Record W2029307773 · doi:10.1080/17408989.2012.754000

Children say the darndest things: physical activity and children with attention-deficit hyperactivity disorder

2013· article· en· W2029307773 on OpenAlexaffabout
William J. Harvey, Shawn Wilkinson, Cindy Pressé, Ridha Joober, Natalie Grizenko

Bibliographic record

VenuePhysical Education and Sport Pedagogy · 2013
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsPsychologyMovement assessmentAttention deficit hyperactivity disorderActive listeningStimulantDevelopmental psychologyClinical psychologyRecallAttention deficitMotor skillPsychiatryPsychotherapistCognitive psychology

Abstract

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AbstractBackground: Physical educators suggested that they are not well-informed about behaviors of children with disabilities, especially attention-deficit hyperactivity disorder (ADHD). Children with ADHD represent a significant number of students in school systems worldwide who often experience difficulties in performing fundamental movement skills. Reasons for these challenging movement behaviors are not clearly understood. There were no significant effects of stimulant medication on performance of the Test of Gross Motor Development-2 (TGMD-2) for 22 children with ADHD. Six boys with ADHD possessed superficial content knowledge about physical activity (PA) participation. Poor movement skills may be related to a mismatch between content knowledge and specific skill performance, which can be problematic at individual skill levels.Purpose: To explore how children with ADHD regulate PA participation by listening to PA stories.Participants and setting: Ten children with ADHD participated in this study. They were identified by qualified child psychiatrists from an ADHD clinic at a major mental health institute in a large urban Canadian city.Research design: A concurrent mixed methods design explored the PA experiences of the children. The qualitative data were given a higher priority.Data collection: The quantitative research component was individualized assessments of fundamental movement skills with the TGMD-2 and Movement Assessment Battery for Children-2. The qualitative research component included: (1) PA self-reporting where each child recorded daily experiences for a two week period and (2) concurrent scrapbook interviews that enhanced participant recall/reflection to generate rich discussions about individual PA experiences.Data analysis: Quantitative skill assessments provided movement-related descriptions of participants. Individual skill levels were labeled with normative test descriptors linked to each respective assessment instrument. These qualitized descriptors were mixed with interview data only after all movement skill assessments and scrapbook interviews were completed. Interviews were transcribed verbatim and a within group thematic analysis was conducted.Findings: Many of the children demonstrated movement skill problems on both tests but skill performance was worse on the TGMD-2. Three qualitative themes emerged. The participants with ADHD spoke about their PA experiences in many different individual physical activities (play theme) and various settings (context theme). All children expressed personal wishes to be included in PA with other children in the community. A range of perceived self-regulatory behaviors emerged for planning PA (organization theme). The findings suggest some of the children with ADHD chose and organized their own PA while other children performed PA that was immediately in front of them with minimal organization of their PA behaviors.Conclusions: Children with ADHD told PA stories that many children without disabilities would tell. However, many of the children with the disorder described experiences related to exclusion from PA. They also lacked conceptual understanding of the purpose and goals related to general participation in various PA. Physical education teacher interventions, leisure counseling and community-based participatory research projects in PA are among the recommendations discussed for children with ADHD.Keywords: mixed methodsstimulated recall and reflectionADHDchildrenphysical activity experiences AcknowledgementsThis research project was funded through a standard research grant awarded by the Sport Canada – social Sciences and Humanities Research Council of Canada (SSHRC) Sport Participation Research Initiative Program (grant number 862-2007-0005).

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)0.000
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 score0.222
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.010
GPT teacher head0.303
Teacher spread0.293 · 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

Citations23
Published2013
Admission routes2
Has abstractyes

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