Change in sleep duration and visceral fat accumulation over 6 years in adults
Bibliographic record
Abstract
OBJECTIVE: To investigate the relationship between change in sleep duration and long-term visceral adiposity change in adults. METHODS: A longitudinal analysis was conducted on 293 participants, aged 18-65 years, followed for a mean of 6.0 ± 0.9 years. At baseline and year 6, sleep duration was self-reported and visceral adipose tissue (VAT) assessed using computed tomography. Multivariable modeling was used to examine the association between change in sleep duration and VAT change over the 6-year time period, with adjustments made for age, sex, change in BMI, personal characteristics, energy intake, and physical activity. RESULTS: Participants gained an average of 19.2 ± 37.3 cm(2) in VAT over the follow-up period. Baseline short (≤6 h/day) and long (≥9 h/day) sleepers gained significantly more VAT than those reporting sleeping 7-8 hours a night (23.4 and 20.2 cm(2) vs. 14.1 cm(2) , respectively, P < 0.05). Using continuous data, we observed that the change in sleep duration was not associated with VAT change. However, a change in sleep duration from ≤6 h/day to 7-8 h/day was associated with 6 cm(2) fewer VAT gain after multivariable adjustment (P < 0.05). CONCLUSIONS: A spontaneous change in sleep duration (from a short to an adequate duration) is independently and inversely associated with long-term VAT accumulation.
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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) | 0.000 | 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) | 0.001 | 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".