<scp>MASLD</scp> , At‐Risk <scp>MASH</scp> and Increased Liver Stiffness Are Associated With Young Adulthood Obesity Without Residual Risk After Losing Obesity
Bibliographic record
Abstract
BACKGROUND: Obesity can result in persistent metabolic changes despite weight loss, which may affect liver health. We aimed to investigate associations between young adulthood obesity and metabolic dysfunction-associated steatotic liver disease (MASLD), at-risk steatohepatitis and increased liver stiffness measurement (LSM) in a general population setting. METHODS: We studied NHANES 2017-2020 community-dwelling participants aged > 40 years with BMI ≥ 18.5 and no heart failure. Weight at age 25 was obtained through questionnaires and compared to current weight. Assessment included controlled attenuation parameter (CAP) and LSM. Associations between obesity status change with MASLD or at-risk metabolic dysfunction-associated steatohepatitis (MASH) and increased LSM were investigated and adjusted for demographics and metabolic health. RESULTS: The cohort comprised 4,580 participants (57% stable non-obesity, 33% gained obesity, 2% lost obesity and 8% stable obesity). Compared to stable no-obesity, stable obesity was strongly associated with MASLD (odds ratio [OR]: 5.47, 95% confidence interval [95%CI]: 3.97-7.66) as was gained obesity (OR: 4.68, 95% CI: 3.93-5.59), whereas no increased risk was demonstrated for lost obesity (OR: 1.26, 95% CI: 0.76-2.10). Similar associations for stable obesity and gained obesity with at-risk MASH and LSM ≥ 8 kPa were demonstrated. No residual risk was found for lost obesity (MASH-OR: 1.05 95% CI: 0.36-2.49; LSM ≥ 8 kPa-OR: 0.85, 95% CI: 0.29-1.97). Results were consistent in sensitivity analysis where obesity change was calculated over the past 10 years and weight change was stratified in normal weight/overweight/obesity. CONCLUSION: Young adulthood obesity is an important risk factor for MASLD, at-risk MASH and increased LSM among the general population aged 40-80 years. Losing obesity resulted in normalisation of odds for MASLD, at-risk MASH and increased LSM. These findings underline the importance of preventing and treating young adulthood obesity to maintain liver health.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".