The influence of ethnicity and gender on the association between measured obesity and cardiorespiratory fitness with self-rated overweight, physical activity and health
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
BACKGROUND: Little is known about how ethnicity may influence how self-rated physical activity (PA) and obesity relates to measured obesity, cardiorespiratory fitness and self-rated health. AIMS: To examine the influence of ethnicity on the association between: (1) self-rated and measured obesity; (2) self-reported PA and cardiorespiratory fitness; and (3) obesity and PA with self-rated health. METHODS: Data from NHANES 1999-2004 (2,981 adults) was used. RESULTS: Compared to white and overweight black men, Hispanic men were less likely to consider themselves overweight (OR = 0.36-0.56). Compared to white men, black active men were more likely to report being more active than their peers (OR = 1.44) but were less likely to be fit (OR = 0.74). Black active women and non-white overweight women were less likely to self-rate as having very good or excellent health as compared to white women with similar self-reported and measured health factors. CONCLUSIONS: Ethnicity and gender influence how self-rated and measured health factors interrelate.
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 | 0.002 | 0.000 |
| 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 | 0.000 |
| 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