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Record W1964130668 · doi:10.3109/17477160903572019

Vigorous physical activity and low-grade systemic inflammation in adolescent boys and girls

2010· article· en· W1964130668 on OpenAlexafffundabout
Catherine M. Sabiston, Andrée L. Castonguay, Nancy Low, Tracie A. Barnett, Marie-Eve Mathieu, Jennifer O’Loughlin, Marie Lambert

Bibliographic record

VenueInternational Journal of Pediatric Obesity · 2010
Typearticle
Languageen
FieldMedicine
TopicExercise and Physiological Responses
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-JustineCentre Hospitalier de l’Université de MontréalMcGill University
FundersCanadian Institutes of Health Research
KeywordsMedicineLogistic regressionC-reactive proteinSystemic inflammationInflammationAdolescent healthPhysical activityBody mass indexInternal medicinePhysical therapyPathology

Abstract

fetched live from OpenAlex

PURPOSE: The association between physical activity (PA) and inflammation has been established in adults, yet little is known about this relationship in youth. This study examined the relationship between vigorous PA and C-reactive protein (CRP) in adolescents. METHODS: Data were available for 1 520 adolescents, aged 13 and 16 years, in a province-wide survey of a representative sample of youth in Québec, Canada. Participants completed questionnaires assessing VPA, pubertal stage, body image, and health problems; they provided a fasting blood sample for CRP; and they had height and weight measured. RESULTS: In sex-specific multivariable logistic regression models, VPA was protective of elevated CRP in boys (OR=0.60, 95%CI=0.37-0.99) independent of weight status, pubertal stage, anti-inflammatory/antibiotic medication, and smoking. CRP and physical activity were not related in girls (OR=1.12, 95%CI=0.69-1.82). CONCLUSIONS: In addition to many known health benefits of VPA, the current findings provide evidence that VPA may protect against low-grade systemic inflammation in boys. These data provide further support for the importance of promoting healthy PA levels in youth.

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 score0.271
Threshold uncertainty score0.267

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 head0.013
GPT teacher head0.299
Teacher spread0.286 · 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

Citations19
Published2010
Admission routes3
Has abstractyes

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