Evidence map›Paper›PMID 41032231›Full record

ArticleHepatology international2026

Association between depression and metabolic dysfunction-associated steatotic liver disease: a cross-sectional analysis from the paracelsus 10,000 Study.

Florian Koutny, Vanessa Frey, Christian Datz, Sophie Gensluckner, Julian Prosenz, Patrick Langthaler, Andreas Maieron, Maria Flamm, Daniel Weghuber, Bernhard Iglseder and 4 more

Abstract read
In one paragraph

Article in Hepatology international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Integrating mental health into MASLD prevention.Hepatology international · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Florian KoutnyKarl Landsteiner University of Health Sciences, Vienna, Austria.
Vanessa FreyDepartment of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Ignaz-Harrer-Straße 79, 5020, Salzburg, Austria.
Christian DatzDepartment of Internal Medicine, General Hospital Oberndorf, Teaching Hospital of Paracelsus Medical University, Paracelsusstraße 37, 5110, Salzburg, Austria.
Sophie GenslucknerMedical Science Research Program, Paracelsus Medical University, Salzburg, Austria.
Julian ProsenzKarl Landsteiner University of Health Sciences, Vienna, Austria.
Patrick LangthalerDepartment of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Ignaz-Harrer-Straße 79, 5020, Salzburg, Austria.
Andreas MaieronKarl Landsteiner University of Health Sciences, Vienna, Austria.
Maria FlammInstitute of General Practice, Family Medicine and Preventive Medicine, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Daniel WeghuberMedical Science Research Program, Paracelsus Medical University, Salzburg, Austria.
Bernhard IglsederDepartment of Geriatric Medicine, Christian Doppler Hospital, Paracelsus Medical University, Ignaz-Harrer-Straße 79, 5020, Salzburg, Austria.
Eugen TrinkaDepartment of Neurology, Christian Doppler University Hospital, Paracelsus Medical University and Centre for Cognitive Neuroscience, Ignaz-Harrer-Straße 79, 5020, Salzburg, Austria.
Bernhard PaulweberUniversity Department of Internal Medicine I - Gastroenterology and Hepatology, Nephrology, Metabolism and Diabetology, University Hospital Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Elmar AignerUniversity Department of Internal Medicine I - Gastroenterology and Hepatology, Nephrology, Metabolism and Diabetology, University Hospital Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria.
Bernhard WernlyUniversity Department of Internal Medicine I - Gastroenterology and Hepatology, Nephrology, Metabolism and Diabetology, University Hospital Salzburg, Paracelsus Medical University, Strubergasse 21, 5020, Salzburg, Austria. b.wernly@salk.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsDepression is linked to obesity and metabolic syndrome, but its independent association with metabolic dysfunction-associated steatotic liver disease (MASLD) remains unclear. We examined the association between depressive symptoms and MASLD, independent of other risk factors.

methodsWe analyzed cross-sectional data from 7433 participants of the Paracelsus 10,000 study. Depression (BDI-II > 13) and MASLD (FLI ≥ 60 plus ≥ 1 cardiometabolic risk factor) were assessed. Associations were examined using Poisson and linear regression models adjusted for demographics, lifestyle factors, metabolic syndrome, and antidepressant use. Subgroup and interaction analyses explored effect modification.

resultsMASLD was more prevalent in participants with depressive symptoms than those without (37% vs. 27%, p < 0.01). Depressive symptoms were independently associated with MASLD (adjusted incidence rate ratio: 1.25, 95% CI: 1.13-1.39, p < 0.01), with consistent findings using continuous BDI-II scores. The association remained robust across subgroups defined by age, metabolic syndrome, education, smoking status, and antidepressant use. No significant differences were observed in fibrosis markers (APRI and FIB-4).

conclusionIn this large, population-based cross-sectional study, depressive symptoms were found to be associated with MASLD, independent of metabolic risk factors and antidepressant use. However, given the observational design and limited detail on antidepressant type, dose, indication, and adherence, the findings should be interpreted with caution and do not support causal conclusions. Nevertheless, findings suggest that mental health considerations may be relevant in MASLD screening and prevention strategies. Further research is needed to explore whether and how antidepressant therapy may relate to liver health.

Indexed as

DepressionFatty LiverMetabolic SyndromeAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsAntidepressant useDepressive symptomsFatty liver indexInteraction analysisLiver fat accumulationMASLDMental healthMetabolic dysfunctionPopulation-based cohortSteatotic liver disease

Identifiers

PMID41032231
PMCPMC12923441

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.