Interaction between Familial History of Obesity and Fat Intakes on Obesity Phenotypes
Bibliographic record
Abstract
AIM: To evaluate whether familial history of obesity (FHO) interacts with dietary fat intake (DFI) on obesity-related phenotypes. METHODS: We recruited 664 participants aged between 18 and 55 years. A positive FHO (FHO+) was defined as having at least 1 obese first-degree relative and a negative FHO (FHO-) as no obese first-degree relative. Dietary intakes were collected from a food-frequency questionnaire. Body mass index, weight and waist girth were recorded using standard procedures. Fat mass and fat-free mass were assessed by electrical bioimpedance. RESULTS: Significant interaction effects (FHO x DFI) were observed for body mass index, weight, waist girth and fat mass (p interaction = 0.05, 0.04, 0.04, 0.02, respectively). Among FHO+ individuals, indices of obesity increased with an increasing amount of DFI, whereas these associations were not observed in FHO- individuals. We also found that FHO+ individuals consuming a high-fat diet were at higher risk of obesity than FHO- individuals consuming a low-fat diet (3.6, CI 2.1-6.2). CONCLUSION: These results suggest a stronger relationship between DFI and obesity-related phenotypes in individuals with FHO+.
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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".