Statural growth of children aged 11 and 12 years
Bibliographic record
Abstract
The objective of this study was to analyze growth in the stature of children. The sample was made up of children aged 11 and 12 years, 80 of whom were male and 119 female, from the city of Rolim de Moura, RO, Brazil. Stature was measured according to recommendations published by ALVAREZ & PAVAN (1999). Statistic analyses consisted of means and their standard deviations for stature and body mass at each age, by sex and Student’s t test for independent samples to compare sexes at each age and between ages within sexes, using SPSS Studentware. It was verifi ed that children’s stature incremented significantly (p £ 0.05) as age increased, while girls were signifi cantly (p £ 0.05) taller than boys. According to Santo André’s Growth Study, most of the boys (92.5%) and girls (86.3%) exhibited normal growth in stature. There was also evidence demonstrating that these children from Rolim de Moura, RO, Brazil, exhibited approximately the same stature as their counterparts from developed countries, such as Canada, Spain and the USA, and from several other Brazilian cities. Finally, these children were shown to have greater stature than the adolescents measured by the ENDEF (1975) report on the Brazilian North Geographical Region. RESUMO O objetivo deste estudo foi de analisar o crescimento estatural de crianças nas idades de 11 e 12 anos. Os dados foram coletados de crianças com idades de 11 e 12 anos, sendo 80 do sexo masculino e 119 do sexo feminino da cidade de Rolim de Moura, RO. A análise estatística determinou a média e desvio padrão da estatura em ambos os sexos por idade e foram comparadas as estaturas entre sexos por idade e entre as idades por sexo através do teste t independente, utilizando-se o programa SPSS Studentware. Foi verificado que os escolares apresentaram incremento signifi cativo (p £ 0,05) da estatura com o avanço da idade, onde as meninas mostraram-se signifi cativamente (p £ 0,05) com maior estatura em relação aos meninos. Segundo o referencial de Santo André a maioria dos escolares no sexo masculino (92,5%) e sexo feminino (86,3%) apresentaram normalidade no crescimento estatural. Também foi evidenciado que os escolares de Rolim de Moura mostram estatura ao redor de países desenvolvidos, como Canadá, Espanha e Estados Unidos, além de várias cidades brasileiras. Por fim, os escolares analisados apresentaram estatura superior aos adolescentes mensurados no ENDEF (1975) da Região Norte.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".