A Dose–Response Study on the Relationship Between Red Meat Intake and Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD) in Southern Italy: Results from the Nutrihep Study
Year: 2026
Type: article
Study design: Observational Study
Abstract: (1) Background: Metabolic dysfunction-associated liver disease (MASLD) has emerged as a leading cause of liver conditions globally. The increasing trend in meat consumption, particularly red meat, has prompted examination of its effects on cardiometabolic health. This study aimed to explore how varying levels of red meat intake relate to MASLD in a population from Southern Italy. (2) Methods: We analyzed data from a cross-sectional study involving 1192 participants (42.7% male), with complete data available from the second NUTRIHEP survey wave (2014–2016). Statistical analysis utilized adjusted dose–response modeling. (3) Results: Subjects with MASLD numbered 587 (49.2%), including 278 males (54.6%) and 309 females (45.2%). Red meat consumption between 75 and 90 g/day revealed an unfavorable influence on MASLD in males. Interestingly, sex seem to play a role in this association, both in harmful (OR > 1) and protective (OR < 1) ways, associated with specific foods such as liver (OR = 0.936, p = 0.087) and red meatballs (OR = 0.584, p = 0.023) in males and roast red meat (OR = 2.152, p = 0.097), red cutlet (OR = 0.540, p = 0.087), and red meat slices (OR = 0.952, p = 0.076) in females. (4) Conclusions: A suspicious dose–response relationship was observed solely in men, limited to intake levels between 75 and 90 g/day. Overall, red meat consumption did not exhibit a consistent dose–response trend with MASLD. Furthermore, preferences for specific types, cuts, and preparations of red meat were differentially associated with metabolic outcomes based on sex.
Source: Nutrients
DOI: 10.3390/nu18061002
Authors: Davide Guido, Manuela Siani, Maria Noemy Pastore, Gianluigi Giannelli, Giovanni De Pergola
Institution: Gastroenterology Hospital "Saverio de Bellis"
Language: English
Subfield: Epidemiology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,499
Award: G6763584372
OpenAlex ID: W7140085608
