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Foundations for Fitness: A Multi-Cohort Pediatric Weight Management Intervention

2018· article· en· W2792139437 on OpenAlexvenueno aff
Kyle M. Morrison, Steven J. Smith

Bibliographic record

VenueInternational Journal of Child Health and Nutrition · 2018
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCohortIntervention (counseling)Internal medicineNursing

Abstract

fetched live from OpenAlex

This study examined the benefits of a 10-week childhood obesity intervention program on various measures of health. The program involved parents and children who met once weekly for two hours. Each session of the intervention program consisted of a structured dynamic warm-up an aerobic exercise component in a game play setting and a motor-skill specific instruction period. Subjects were recruited from pediatrician recommendation and a total of 99 subjects (n=48 boys, n=51 girls) completed both pretest and posttest intervention measures. The mean age was 9.86 (SD=0.02 years). Each of the following were assessed on pediatric assessment prior to and following the intervention program: height, weight, body mass index (BMI), waist circumference, resting heart rate, resting blood pressure, habitual physical activity, percent body fat, and quality of life. Assessment of the participant’s cardiovascular fitness and the state of home environment in regards to nutrition and physical activity were completed as part of the first and tenth (final) intervention program sessions. Results indicated that the changes observed that were statistically significant included the categories of systolic blood pressure, height, weight, quality of life, habitual physical activity, FNPA score, and PACER scores. Improvements in outcomes measured were modest but this result was expected due to the short intervention program of only ten-weeks duration. Recommendations include increasing the length of the intervention and conducting follow-up assessment to determine long-term impact.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
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 head0.020
GPT teacher head0.353
Teacher spread0.333 · 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 designNon-randomized trial
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
Published2018
Admission routes1
Has abstractyes

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