A medida do bem-estar subjetivo em jovens fisicamente ativos e não ativos
Bibliographic record
Abstract
Introdução: A dinâmica tecnológica e social na sociedade sugere as inúmeras áreas da ciência um desenvolvimento de recursos humanos para que as pessoas tenham longevidade e qualidade de vida e busquem um bem-estar em suas vidas. Com isso, o bem-estar é destaque nas pesquisas sobre a realização e frequencia da atividade física no cotidiano da saúde daspessoas. Objetivo: verificar a estrutura fatorial da escala de bem-estar subjetivo (MUNSH) em adolescentes brasileiros ativos e nao ativos fisicamente. Método: Participaram 1864 adolescentes de 12 a 20 anos de idade, residentes em uma no norte do estado de Minas Gerais – Brasil. Estes responderam o inventário de bem estar subjetivo, questões referentes a prática e freqüência de atividade física e sócio-demografia. Resultados: Através de uma análise fatorial confirmatória, no pacote estatístico AMOS, a estrutura fatorial da escala revelou indicadores psicométricos que estiveram próximos aos exigidos pela literatura estatística sobre modelagem estrutural. Conclusão: MUNNSH evidencia uma excelente robustez na fatorialidade para os jovens que fazem atividades físicas e tem maior freqüência semanal nas atividades. Modern society’s technological and social dynamics have brought with them a need in many scientific areas for research on personal development so that as people live longer, they may do so with better quality of life. One factor of well-being which has received much attention is the impact of physical activity and the frequency thereof on people’s daily lives. The objective of the current study is therefore to determine the factorial structure of the Memorial University of Newfoundland Scale of Happiness (MUNSH) in physically active and non-active Brazilian adolescents. Subjects were 1864 adolescents between the ages of 12 and 30. All resided in the northern state of Minas Gerais, Brazil. They answered the subjective well-being inventory which included questions regarding the practice and frequency of physical activity and socio-demographic data. These data were analyzed by a confirmatory factor analysis using the statistical software package AMOS. The analysis found that the adjustment indicators of the factorial structure of the scale were similar to those applied in the structural modeling literature. The conclusion is that MUNSH demonstrates robustness of the factorial structure in adolescents who engage in physical activity and those who do so with greater frequency per week.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".