Factors associated with low levels of lumbar strength in adolescents in Southern Brazil* *Study conducted at Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
Bibliographic record
Abstract
To determine the prevalence and factors associated with low levels of lumbar strength in adolescents. This was a cross-sectional study involving 601 adolescents, aged 14 to 17 years, enrolled in public schools in the western region of Santa Catarina State – Southern Brazil. Lumbar strength was analyzed by the lumbar extension test developed by the Canadian Society of Exercise Physiology, which proposes different cutoffs for boys and girls. Independent variables were sex, age, socioeconomic status, dietary habits, alcohol consumption, physical activity, and aerobic fitness. For data analysis, univariate and multivariate logistic regression were used, with significance level of 5%. The prevalence of low levels of lumbar strength was 27.3%. The population subgroups most likely to present low levels of lumbar strength were females (OR: 1.54, 95% CI: 1.06 to 2.23), adolescents with low levels of aerobic fitness (OR: 2.10, 95% CI: 1.41 to 3.11) and the overweight (OR: 2.28, 95% CI: 1.35 to 3.81). Almost one-third of the studied students have low levels of lumbar strength. Interventions in the school population should be taken with special attention to female adolescents, those with low levels of aerobic fitness, and those with overweight, as these population subgroups were most likely to demostrate low levels of lumbar strength. Verificar a prevalência e fatores associados a baixos níveis de força lombar em adolescentes. Trata-se de um estudo transversal, com 601 adolescentes de 14 a 17 anos, estudantes de escolas públicas do oeste de Santa Catarina – Brasil. Analisou-se a força lombar por meio do teste de extensão lombar proposto pela Sociedade Canadense de Fisiologia do Exercício que propõe pontos de corte distintos para rapazes e moças. As variáveis independentes analisadas foram: sexo, idade, nível econômico, hábitos alimentares, consumo de álcool, atividade física e aptidão aeróbia. Para a análise dos dados utilizou-se a regressão logística uni e multivariável com nível de significância de 5%. A prevalência de baixos níveis de força lombar foi de 27,3%. Os subgrupos populacionais com maiores chances de baixos níveis de força lombar foram o sexo feminino (OR: 1,54; IC95%: 1,06–2,23), adolescentes com baixo nível de aptidão aeróbia (OR: 2,10; IC95%: 1,41–3,11) e com excesso de peso (OR: 2,28; IC95%: 1,35–3,81). Quase um terço dos estudantes de escolas públicas do Oeste Catarinense apresentaram baixos níveis de força lombar. Intervenções na população escolar devem ser adotadas com atenção especial aos estudantes do sexo feminino, aqueles com baixos níveis de aptidão aeróbia e com excesso de peso, pois foram os subgrupos populacionais com maiores chances de baixos níveis de força lombar.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".