<scp>ACTION</scp> Teens Saudi Arabia: Perceptions, attitudes, motivators, and barriers among adolescents living with obesity, caregivers, and healthcare professionals in Saudi Arabia
Bibliographic record
Abstract
Obesity is predicted to affect approximately one-quarter of children/adolescents in Saudi Arabia by 2030, but there is limited evidence regarding the perceptions, attitudes, behaviours, and barriers to effective obesity care for adolescents living with obesity (ALwO), caregivers of ALwO, and healthcare professionals (HCPs). We report data from 500 ALwO (aged 12-<18 years), 500 caregivers, and 200 HCPs surveyed in Saudi Arabia as part of the global, cross-sectional ACTION Teens study (NCT05013359). Nearly all respondents recognized that obesity has a strong impact on overall health (ALwO 88%; caregivers 85%; HCPs 90%). Most ALwO and caregivers were aware of the ALwO's obesity status (95% and 99%, respectively) and worried about weight impacting the ALwO's future health (both ≥99%), and social media was their most commonly used source of weight-management information (60% and 53%, respectively). Among ALwO and caregivers who had discussed weight with an HCP in the past year, most experienced ≥1 negative feeling following their most recent discussion (61% and 59%, respectively). Although 81% of HCPs felt motivated to help their ALwO patients lose weight, 57% believed weight loss was completely the ALwO's responsibility (compared with only 37% of ALwO and 35% of caregivers). This may reflect the finding that only 24% of HCPs had received advanced training in obesity/weight management after medical school. Overall, while respondents had similar perceptions of the impact of obesity, we found HCPs' attitudes towards weight loss were not aligned with those of ALwO and caregivers, suggesting a need for improved communication and obesity education.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.009 | 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".