The Relationship Among Body Mass Index, Subjective Reporting of Chronic Disease, and the Use of Health Care Services in Newfoundland and Labrador, Canada
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
The purpose of the study was to examine the association of body mass index (BMI) with the prevalence of chronic disease and health services use in adults living in Newfoundland and Labrador (NL). A cross-sectional analysis of 2345 adult respondents to the 2001 Canadian Community Health Survey was performed. Outcome measures included the prevalence of chronic disease and health services use. The sample comprised normal (37%), overweight (39%), obese (17%), and morbidly obese (6%) individuals. Obese and morbidly obese individuals were more likely to report the presence of a chronic disease. Adjusting for age and sex, increasing BMI category was significantly associated with a greater likelihood of cardiovascular, endocrine, and pulmonary diseases (excluding asthma). The majority of survey respondents in each category reported having a regular doctor (>75%), and there were no significant differences across categories. Compared to those with a normal BMI, obese and morbidly obese individuals reported a significantly higher number of visits to a family physician. There were no differences across BMI categories and the use of specialist or hospital services. Almost a quarter of the study sample in NL was classified as morbidly obese or obese. These individuals reported more chronic conditions and more visits to a family physician than the normal-weight group. The greater morbidity and the increased frequency of visits to family physicians suggests greater consideration should be given to channeling financial and human resources to the primary health care of this high-risk population.
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 | 0.001 | 0.000 |
| 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