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Record W80844291 · doi:10.1096/fasebj.21.6.a937

The relationship between physical activity and body composition changes over time in children

2007· article· en· W80844291 on OpenAlexaffabout
Rebecca C. Mollard, Kristy Diane Marie Wittmeier, Dean Kriellaars

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicObesity, Physical Activity, Diet
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBody mass indexObesityMedicinePhysical activityClassification of obesityBody weightLongitudinal studyFat massComposition (language)Internal medicineAnimal sciencePhysical therapyBiology

Abstract

fetched live from OpenAlex

Physical inactivity is a risk factor for chronic disease and obesity. The objective of this three year longitudinal study was to determine how body composition and physical activity (PA) change over time. Body fat (Slaughter equation) and body mass index (BMI) were determined for children (8 to10 years) over one year (n=41) and 2 years (n=15). Triaxial accelerometry assessed daily PA (kcal/kg/d). Physical activity increased by 1.78 ±0.68 kcal/kg/d (P=0.007) over one year, while PA increased by 2.69±1.07 kcal/kg/d over two years (P=0.025). There was no change in body fat over one year (P=0.204) or two years (P=0.425). When controlling for initial body fat and sex, there was a relationship between changes in body fat and final PA (r 2 =0.302, P=0.017). Height (P<0.0001) and mass (P<0.012) significantly increased over the one and two year periods. While BMI increased over one year (P=0.001) but not over two years (P=0.416). Body mass index did not significantly change over time after adjusting for changes expected due to growth. When controlling for initial BMI and sex, there was no relationship between changes in BMI and final PA (r 2 =0.157, P=0.726). Thus, changes in body fat, but not BMI are predicted by the final level of PA achieved by children. Supported by Manitoba Institute of Child Health.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.024
GPT teacher head0.299
Teacher spread0.275 · 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 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
Published2007
Admission routes2
Has abstractyes

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