Lower leptin levels are associated with higher risk of weight gain over 2 years in healthy young adults
Bibliographic record
Abstract
Complete leptin deficiency is associated with weight gain and extreme obesity, according to studies of animals and of monogenic obesity in humans. It is still a matter of debate whether relative leptin deficiency plays a physiologic role in adiposity regulation in free-living humans. We hypothesized that leptin levels would be associated with subsequent weight changes in healthy normal-weight young adults. Our prospective cohort involved 150 healthy young adults (114 women and 36 men) followed over their years of study at the Université de Sherbrooke. Anthropometric measurements, fasting blood samples, 3-day food diaries, and a physical activity questionnaire were collected at baseline. Leptin levels were measured with radioimmunoassay. Associations between baseline leptin levels and subsequent anthropometric changes were assessed with multivariable linear regression models to account for adiposity at baseline, food intake, and energy expenditure. Over the 2-year follow-up, changes in body mass index (BMI) ranged from -0.8 to +2.6 kg·m(-2) in men (mean BMI change, +0.6 kg·m(-2)) and from -2.5 to +3.7 kg·m(-2) in women (mean BMI change, +0.1 kg·m(-2)). Lower leptin levels at baseline were associated with a higher risk of weight gain in women (r = -0.24; p = 0.01 for change in BMI) and in men (r = -0.27, p = 0.11), even after accounting for baseline BMI, total daily caloric intake, and energy expenditure (p = 0.02). In the subsample measured at 4 years (n = 63), baseline leptin levels were not associated with 4-year weight changes. Lower leptin levels are associated with a higher risk of weight gain over 2 years in healthy young adults.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".