Clinical review: modified 5 As: minimal intervention for obesity counseling in primary care.
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
OBJECTIVE: To adapt the 5 As model in order to provide primary care practitioners with a framework for obesity counseling. SOURCES OF INFORMATION: A systematic literature search of MEDLINE using the search terms 5 A's (49 articles retrieved, all relevant) and 5 A's and primary care (8 articles retrieved, all redundant) was conducted. The National Institute of Health and the World Health Organization websites were also searched. MAIN MESSAGE: The 5 As (ask, assess, advise, agree, and assist), developed for smoking cessation, can be adapted for obesity counseling. Ask permission to discuss weight; be nonjudgmental and explore the patient's readiness for change. Assess body mass index, waist circumference, and obesity stage; explore drivers and complications of excess weight. Advise the patient about the health risks of obesity, the benefits of modest weight loss, the need for a long-term strategy, and treatment options. Agree on realistic weight-loss expectations, targets, behavioural changes, and specific details of the treatment plan. Assist in identifying and addressing barriers; provide resources, assist in finding and consulting with appropriate providers, and arrange regular follow-up. CONCLUSION: The 5 As comprise a manageable evidence-based behavioural intervention strategy that has the potential to improve the success of weight management within primary care.
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 | 0.006 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it