Abstract MP57: The Association Between Anthropometrics and Different Measures of Cardiac Structure and Function - The Echo-SOL Study
Bibliographic record
Abstract
Background: The purpose of this study was to determine the magnitudes and significances of the associations between adiposity and echocardiographically determined measures of left ventricular (LV) structure and function in a diverse cohort of Hispanic/Latino adults. Methods: Subjects were 1,350 adult men and women participants of the Hispanic Communities Health Study - Study of Latinos (HCHS-SOL) who enrolled in an ancillary study to determine cardiac structure and function by echocardiography. In addition to echocardiography, subjects were evaluated by extensive survey information, relevant physical measurements (to include bioelectrical impedance) and fasting blood assays. Results: The mean age was 56.1 years and 57% were female. Twenty-six percent were Mexican American, 25% Cuban American, 18% Dominican American, 17% Puerto Rican American, 8% Central American and 7% South American. Overall, the mean ejection fraction was 60.5%, while the mean stroke volume was 70 ml, end diastolic volume 83 ml, fractional shortening 31% and cardiac output 4.5 L/min. Results of multivariable linear regression adjusted for age, gender, hypertension, diabetes, dyslipidemia, cigarette smoking, family history of coronary heart disease, C-reactive protein and chronic kidney disease revealed that each 1-unit increment in body mass index (BMI) and fat mass (FM) by impedance was associated with 0.64 and 0.25 (p < 0.01 for both) higher LV mass index (to height), while a 0.1 unit increment in the waist to hip ratio (WHR) was associated with 3.2 higher LV mass index. Concomitantly, each 1-unit increment in BMI and FM was associated with 7 and 3% (p < 0.01 for each) higher odds of LV hypertrophy, while a 0.1 unit increment in WHR was associated with 78% higher odds for LV hypertrophy (p < 0.01). On the other hand, none of these variables were significantly associated with ejection fraction. There were no significant interactions between the anthropometric variables and the different Hispanic groups for LV mass index or hypertrophy. Conclusions: Among Hispanics/Latinos from different cultural backgrounds, and by three measures of body composition (BMI, FM and WHR), higher levels of adiposity are significantly associated with higher LV mass indexed for height and the odds for hypertrophy, while not being associated with better or worse ejection fraction.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".