Prevalence and social determinants of overweight and obesity in adolescents in Saudi Arabia: A systematic review
Bibliographic record
Abstract
Obesity in adolescents has a serious impact later in life in the form of disturbances in health and wellbeing. We aimed to evaluate the prevalence of overweight and obesity (Ow/Ob) in Saudi adolescents and to construct an ecological model of social determinants (SDs) of Ow/Ob and evaluate current evidence of their effect on Saudi adolescents. A systematic review of literature reported up until 31 December 2018 on Ow/Ob and factors that can influence them in Saudi adolescents was conducted. Fifty-one studies with n = 97 666 adolescents (55.6% males) were reviewed. The prevalence of Ow/Ob started off high and continued to increase over time. Most of the 49 reviewed SDs reports, from 19 studies, showed positive association between SDs constructed ecological model and Ow/Ob in Saudi adolescents. The prevalence of Ow/Ob among adolescents is a major public health problem in Saudi Arabia, is growing at an alarming rate and SDs play a significant role in this problem, and should be considered in all strategies targeting it. The constructed ecological model for SDs of Ow/Ob in adolescents can serve as a useful exploratory tool that helps investigating the multi-faceted aetiology of adolescent Ow/Ob and facilitates the development of effective intervention and prevention programmes.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".