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Clusters of negative health-related physical fitness indicators and associated factors in adolescents

2017· article· en· W2768248785 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBrazilian Journal of Kinanthropometry and Human Performance · 2017
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsnot available
Fundersnot available
KeywordsPhysical fitnessMultinomial logistic regressionLogistic regressionDemographyAerobic exerciseFitness testTest (biology)PsychologyGerontologyMedicinePhysical therapyStatisticsMathematicsBiology

Abstract

fetched live from OpenAlex

Abstract Inadequate levels in health-related physical fitness components are associated with early cardiovascular mortality in adult life. The aim of this study was to analyze the association between clusters of negative physical fitness indicators with sociodemographic and lifestyle variables in adolescents. The survey was conducted with 866 students (14-19 years) from public schools of Sao Jose, Santa Catarina, Brazil. Aerobic fitness was assessed by the modified Canadian aerobic fitness test; muscle strength was measured by handgrip dynamometer; flexibility was assessed by the sit-and-reach test; body fat was measured by the sum of triceps and subscapular skinfolds. Sociodemographic and lifestyle variables were verified by questionnaire. The simultaneity of behaviors was evaluated by the ratio between observed and expected prevalence of inadequate physical fitness levels. The combination of negative physical fitness indicators was analyzed through multinomial logistic regression. The prevalence observed for the simultaneity of four negative physical fitness indicators was 30% higher than expected. Female adolescents were more susceptible to the presence of two, three and four negative physical fitness indicators. Adolescents who presented risk behavior in relation to screen time were more likely to present one, three and four negative physical fitness indicators. Female gender and risk behavior in relation to screen time were factors associated with the simultaneity of negative physical fitness indicators.

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.

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 score0.008
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.341
Teacher spread0.314 · 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