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Record W2067106198 · doi:10.4236/ape.2012.21004

Pogo Stick Programs Provide Physical and Psychological Benefits to Children

2012· article· en· W2067106198 on OpenAlexaff
Jo M. Welch, Nichelle B. Hubley, Angela J. Stewart

Bibliographic record

VenueAdvances in Physical Education · 2012
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsDalhousie University
Fundersnot available
KeywordsAttendancePsychological interventionPhysical therapyIntervention (counseling)Physical educationMedicineMulti-stage fitness testBalance (ability)PsychologyPhysical fitnessMathematics education

Abstract

fetched live from OpenAlex

Novel methods of adding vigorous exercise to physical education classes or after school programs could boost physical and psychological well-being in children. We explored the use of pogo stick classes in two cohorts of 10 - 11 years old children. Both interventions consisted of two, one-hour sessions per week for six weeks. Attendance at these after-school sessions was high (Study 1, 82%; Study 2, 95%). Study 1 tested the efficacy of a pogo class in sports-active children aged 10 - 11 years from a community adjacent to a university. They were tested before and after the intervention for balance using a stabilometer, for leg power using jump height, and for VO2max using the Leger 20 m shuttle run. Means of pre and post intervention measures were compared using paired t-tests. Balance improved (p = 0.001) while VO2max and leg power remained consistent. Study 2 tested the ability of pogo classes to improve self-esteem in girls who did not participate in sports and resided in a low socio-economic urban area. Before and after the intervention they completed the Harter Self-Perception Profile. Self-assessed scores in all six categories of the Harter Profile increased, indicating that the pogo stick intervention elicited improved self-esteem in the children. Results from these two pilot studies using pogo sticks in different cohorts of children indicate that pogo-based programs can provide physical and mental health benefits.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.917
Threshold uncertainty score0.836

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 head0.019
GPT teacher head0.358
Teacher spread0.338 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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