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Lower aerobic fitness levels among adolescents of a city in southern Brazil

2016· article· en· W2518818547 on OpenAlexaboutno aff
Eliane Cristina de Andrade Gonçalves, Diego Augusto Santos Silva

Bibliographic record

VenueMedicina (Ribeirão Preto) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPhysical Education and Gymnastics
Canadian institutionsnot available
Fundersnot available
KeywordsAerobic exercisePhysical fitnessDemographyFitness testLower bodyMedicineGerontologyPsychologyPhysical therapy

Abstract

fetched live from OpenAlex

Study design: Cross sectional study. Objective: To analyze the association between lower levels of aerobic fitness and sociodemographic factors, lifestyle and excess body fatness in students. Methods: Study with 84 adolescents aged 14 to 19 years from southern Santa Catarina. Aerobic fitness was assessed by the modified Canadian Aerobic Fitness test-mCAFT. Sociodemographic variables, sexual maturation and lifestyle were assessed self-administered questionnaire. Excess body fatness assessed the sum of skin folds triceps and subscapular. Results: The prevalence of lower level of aerobic fitness was 83.3%. The female gender (OR: 5,99; IC95%: 1,40-25,52) and adolescents little physically active (OR: 5,62; IC95%: 1,21-26,38) had low levels aerobic fitness. Conclusion: The factors had associated with low levels of aerobic fitness were females and physical inactivity

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.327
Teacher spread0.298 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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