Identification of educational needs in the management of overweight and obesity: results of an international survey of attitudes and practice
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Despite the availability of a growing range of interventions to assist control of body weight for people with excess weight or obesity, only a small proportion of people achieve their weight loss goals and are able to maintain body weight reductions in the long term. Negative attitudes and beliefs are often found among physicians and others involved in treating obesity and may adversely impact the effectiveness of management. In this international study, healthcare professionals were invited to complete an online survey of their attitudes and practice in the management of excess body weight. A total of 335 clinicians completed the survey of whom approximately half were based in Europe. A key finding from the survey is that, while participants are generally confident in their ability to manage overweight and obesity effectively, they also report that most of their patients are not successful in achieving their weight loss goals. At the same time, participants tended to overestimate the effectiveness of current medical management in maintaining reductions in body weight. Educational initiatives addressing the real-life effectiveness of different weight control interventions may help to close the gap between clinicians' perceptions and reality in the management of excess body weight.
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.
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 | 0.020 | 0.007 |
| 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 it