24‐hour movement guidelines and weight status among preschool‐aged children in Bangladesh: A community‐level cross‐sectional study
Bibliographic record
Abstract
BACKGROUND: Increasing levels of urbanization and digitization in Bangladesh may be adversely associated with children's weight status and related movement behaviors. This study examined the prevalence of obesity, physical activity (PA), sedentary behavior, and sleep among young children from a district town in northern Bangladesh and identified factors associated with unhealthy weight status. METHODS: Population-based cross-sectional study involving all kindergarten schools in Jamalpur District town. Schools and children aged 4-7 years were randomly selected and had their weight and height measured. Mothers completed a questionnaire on their child's PA, recreational screen time, and sleep and sociodemographic factors. Children's weight status was based on World Health Organization (WHO) categories. Meeting the PA recommendation was based on the WHO guidelines for children and adolescents, and meeting the sedentary behavior and sleep recommendations was based on the Canadian/Australian 24-hour movement guidelines for children and young people. RESULTS: A total of 585 children and their parents were included in the study. Overall, 15% of children were overweight or obese. Three-quarters of children met the sleep guideline, and 50% met the PA guideline. Less than one third of children (31%) met the recreational screen time guideline, whereas 15% met all three guidelines. However, when adjusted for all predictors in the model, maternal education, family income, and child's age were significantly associated with overweight/obesity. Children with higher maternal education level were 2.3 times (AOR = 2.33, 95% CI: 1.19-4.78) more likely to be overweight/obese. Children in families with a higher monthly income had 1.9 times (AOR = 1.95, 95% CI: 1.14, 3.35) higher risk of being overweight/obese. CONCLUSIONS: Prioritizing maternal education (mother-centric interventions) can help address the high levels of childhood obesity in Bangladesh.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".