Global epidemiology of alcohol‐associated liver disease in adolescents and young adults
Bibliographic record
Abstract
BACKGROUND AND AIMS: The objective of the study was to analyse the prevalence, incidence, and death of alcohol-associated liver disease (ALD) among adolescents and young adults globally, continentally, and nationally, focusing on trends over time. METHODS: The study analysed data from the Global Burden of Disease (GBD) study between 2000 and 2019. It examined ALD's prevalence, incidence, and death in adolescents and young adults aged 15-29, segmented by region, nation, and sociodemographic index. The analysis utilised Joinpoint regression modelling to calculate the annual per cent change (APC) in the rate of these parameters over time. RESULTS: In 2019, there were 281,450 ALD prevalences, 18,930 incidences, and 3190 deaths among adolescents and young adults globally. From 2000 to 2019, the age-adjusted prevalence rate per 100,000 increased in the 25-29 age group (APC: +0.6%, p = 0.003), remained stable among ages 20-24 (p = 0.302) and ages 15-19 (p = 0.160). Prevalence increased significantly from age 15-19 to 20-24 (19-fold increase) and from age 20-24 to 25-29 (2.5-fold increase). ALD prevalence rates increased in all age groups in adolescents and young adults in Africa and the Eastern Mediterranean region. Around three-quarters of countries and territories experienced an increase in ALD incidence rates in young adults. CONCLUSION: Over two decades, the burden of ALD among adolescents and young adults has increased globally. The study emphasises the importance of public health policies aimed at reducing alcohol consumption and preventing ALD among younger populations.
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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".