736 Current Management Strategies, Perceptions, and Attitudes of the Paediatricians on Childhood Obesity: An Experience from the Middle East
Bibliographic record
Abstract
Abstract Background Childhood obesity is a public health concern that in expanding globally. Of those aged between 5-19 years in Oman, 32% were found to be overweight in 2016. Method An electronic survey was distributed to in-training and post residency paediatricians in Oman. Results A total of 69 responses met the inclusion criteria and were analysed. 50% of participants were less than 30 years-old (53.6% female). 70% were in training residency (R1, R2 24.6%, R3, R4 36.2%,) and 30% were post residency. 72% had their training in Oman. About half of participants measure child’s weight and Height, however, only 24.4% document BMI and compare with previous records. 75% regularly obtain family history of obesity and related conditions along with dietary intake. More than half of participants were not confident on discussing weight and related complication with the child, but 62.3 % were confident in discussing it with the parents. 50% were confident in initiating treatment for childhood obesity and providing dietary advice. Attitudes towards exposure to childhood obesity and management varied and overall excellent exposure accounted for less than one third of responses (Medical school 21.7%, Residency 26.1%, 27.5%). In general, only 20.6% believe they are confident in managing childhood obesity and only 29% attended seminar or training on childhood obesity. 93% believe there is a need for a more focused training on childhood obesity prevention and management. Conclusions Great efforts need to be targeted towards strengthening Paediatricians’ confidence in childhood obesity prevention and management via in residency-training and continuous professional development.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| 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".