COMPORTAMENTO SEDENTÁRIO EM PRÉ-ESCOLARES: ANÁLISES INICIAIS DO CONTEXTO URBANO E RURAL DO ESTUDO SUNRISE NA REGIÃO CENTRO OESTE DO BRASIL
Bibliographic record
Abstract
Introduction: The health implications of excessive sedentary behavior throughout life are being recognized. Early childhood (birth to five years) is critical for establishing healthy habits related to sedentary behavior, with a view to ensuring adequate health both now and in the future. Objective: To describe the data collection process of the International Study on 24-Hour Movement Behaviors in Early Childhood (SUNRISE)/Canadian Institutes of Health Research (CIHR) in the Midwest region of Brazil and to analyze the sedentary behavior of preschool children living in urban and rural areas of the region. Methods: This is an excerpt from the SUNRISE CIHR study, involving 212 children (104 boys and 108 girls with a mean age of 4.30 ± 0.51 years) from early childhood education centers located in urban and rural areas of the Midwest region. Sociodemographic and sedentary behavior data were collected through a questionnaire administered in the form of an interview. Results: The sample consisted of 50.9% girls, with a predominance of 4-year-olds (72.3%). Most children were brown-skinned (47.6%), followed by white (44.8%) and black (6.1%). Regarding parental education, high school/technical school completion was the most common (56.6%). No statistically significant differences were observed between urban and rural children in terms of gender, age, or skin color. A difference was found in the sedentary behavior of children living in urban and rural areas. Children in urban areas played outside the home more often (50.9%) than those in rural areas (26%), and the presence of electronic devices in the bedroom was higher among children in urban areas (42.6%) than in rural areas (26%), with a significant difference (p < 0.001). Final thoughts: This study gives us new info on how kids in central-western Brazil spend their time, which is an area that hasn't been looked at much in national research. Early interventions are key to promoting healthy habits and reducing how much kids sit around.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".