Trend and Causes of Overweight and Obesity among Pre-School Children in Kuwait
Bibliographic record
Abstract
Identifying life risk factors of obesity early will help inform policymakers to design evidence-based interventions. The following study aims to assess the trend of overweight and obesity over four years among pre-school Kuwait children, and to examine their association with breakfast skipping (BF), sugary and sweetened beverage (SSB) consumption, and screen time. Children aged 2–5 years (n = 5304) were selected from 2016 to 2019 national surveys. Overweight and obesity were defined according to the World Health Organization references. The children’s mothers were asked about the BF of their children the day of the survey, their frequency of SSB consumption, and their weekly screen time use. Logistic regression was used to identify the risk factors associated with overweight/obesity. No significant decline (p values ≥ 0.12) was found for both overweight and obesity. Contrastingly, BF skipping, SSB consumption, and screen time declined (p < 0.0001). The BF skippers were found to have a 31% lower risk of being overweight. Daily TV watching, for 2–3 h, increases the odds of obesity by 5.6-fold. Our findings are encouraging regarding the decline in risky behaviours over time. However, more effort should be made both at the micro- and macro-level for a sustainable reduction in overweight and obesity.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".