Psychiatric Illness and Obesity: Recognizing the "Obesogenic" Nature of an Inpatient Psychiatric Setting
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: The prevalence of obesity and obesity-related diseases is higher among individuals with psychiatric illness than in the general population. This study examined environmental factors that contribute to obesity in one psychiatric hospital in Canada. METHODS: Semistructured interviews were conducted with 25 key stakeholders from multiple professional disciplines at the hospital. Transcribed interviews were analyzed through content analysis with the analysis grid for environments linked to obesity (ANGELO) framework as a categorical template. RESULTS: Factors contributing to obesity in this setting were related to increased energy intake, such as easy access to high-calorie snacks and beverages, and reduced energy expenditure, such as lack of access to staircases. CONCLUSIONS: Psychiatric settings may contribute to the high prevalence of obesity among individuals with psychiatric illness. Ecologically framed interventions are required to address obesity in this population.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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