Self-Measured Waist Circumference in Older Patients With Heart Failure
Bibliographic record
Abstract
PURPOSE: Evidence supports the use of waist circumference (WC) as an important clinical measure of body composition and obesity-related health risk. Self-monitoring of WC may be problematic for older persons, especially for those with a chronic illness such as heart failure (HF). No studies to date have measured the accuracy of self-measured WC in older persons with HF. Therefore, the objective of this study was to determine the reliability and validity of self-measured WC in older patients with HF. METHODS: The reliability of self-measured WC was evaluated over 7 days in 100 older (65-93 years) men and women with HF. The validity and accuracy of self-measured WC in comparison with technician-measured WC was evaluated in a second group of 45 men and women (40-91 years) recruited from a HF clinic. RESULTS: Reliability results identified a high intraclass correlation between the 7 self-measurements (r = 0.99, P < .0001). The validity analysis yielded a correlation of 0.98 between self- and technician-measured WC (P < .0001). Mean differences between technician- and self-measurement were insignificant (0.60 cm; 95% CI: -0.35-1.50). Limits of agreement were -5.5 to 6.7 cm and indicated no systematic differences between self- and technician-measured WC. Ninety-six percent of participants were able to correctly classify themselves into the appropriate WC risk category. CONCLUSIONS: Results indicate that a single self-measurement of WC is reliable. Validation results indicate that WC self-measured by older HF patients may be appropriate for large epidemiologic studies. However, the large limits of agreement suggest that self-measured WC may not be adequately sensitive for monitoring individual changes.
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How this classification was reachedexpand
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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".