Sensitivities, Specificities, and Positive Predictive Values ofSimple Indices of Body Fat Distribution
Why this work is in the frame
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Bibliographic record
Abstract
Centralized obesity has been associated with increased risk of non-insulin dependent diabetes and cardiovascular disease. Paramount to a sensitive index of body fat distribution is that it contain a measure of lower limb fat (Ashwell et al. 1978; 1982; Mueller and Stallones 1981). However, many epidemiological studies of body fat distribution, which have used skinfold measurements, have been limited to estimating centralized obesity from the triceps and subscapular or other conventional upper body sites. The purpose of this study was to evaluate the sensitivities, specificities, and positive predictive values of skinfold indices of body fat distribution when only sites on the upper body are available. We were able to do this in a large population-based data set, the Canadian YMCA-LIFE study, which included adults 25 to 64 years of age and skinfold sites from upper and lower anatomical regions of the body.Sensitivities, specificities, and positive predictive values did not vary systematically with age group, sex or obesity level. Sensitivities (mean = 70%) and positive predictive rates (mean = 65%) were moderate for the most common two site index (triceps/triceps + subscapular) and were not notably improved with the addition of the suprailiac site. Simple percent extremity fat indices (e.g. triceps/(triceps + subscapular) X 100) were as effective in discriminating body fat distribution groups as an index involving the same variables in the form of a vector of log transformed measurements. Substituting lower limb fat (medial calf) for arm fat (triceps) in simple percent indices, provided important additional information (mean sensitivity = 77%, mean positive predictive rate = 70%).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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