Clinical Focus ›› 2025, Vol. 40 ›› Issue (2): 128-132.doi: 10.3969/j.issn.1004-583X.2025.02.005

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Analysis of lean metabolic-associated fatty liver disease among young and middle-aged people and its risk factors

Tong Mingxia1a(), Chen Ke1a, Xiang Xiaocong2, Zhou Lifeng1b   

  1. 1a. Health Mangement Center; Department of Gastroenterology, Beijing Anzhen Nanchong Hospital of Captial Medical University &Nanchong Central Hospital, Nanchong 637000, China
    2. Institute of Hepato-Biliary-Pancreatic-Intestinal Disease, Affiliated Hospital of North Sichuan Medical College, Nanchong 637000, China
  • Received:2024-11-19 Online:2025-02-20 Published:2025-03-04
  • Contact: Tong Mingxia E-mail:xiamingtong@126.com

Abstract:

Objective To explore the metabolic-associated fatty liver disease (MAFLD) in young and middle-aged people and its risk factors. Methods From January 2022 to December 2023, clinical data of 16 173 young and middle-aged people receiving physical examinations in the Health Management Center of Nanchong Central Hospital were collected. Lean MAFLD and risk factors in them were analyzed. Results All lean MAFLD patients were male, and most of them aged 45-59 years with a body mass index (BMI) ranging from 20-23 kg/m2. There were significant differences in age, gender, BMI, blood pressure, fasting plasma glucose (FPG), blood lipids and blood uric acid (UA) between the two groups (P<0.05). The detection rate of abnormal glucose metabolism in the lean MAFLD group was 12.5%, which was significantly higher than that in the lean non-MAFLD group (P<0.001). The detection rates of abnormal lipid metabolism, hypertriglyceridemia, low high density lipoprotein and mixed hyperlipidemia were 62.8%, 33.7%, 17.6% and 18.4%, respectively, which were significantly higher than those in the lean non-MAFLD group (P<0.001). Hypercholesterolemia was detected in 7.4% of lean MAFLD, which was significantly lower than that in lean non-MAFLD group (P<0.001). The detection rate of UA metabolic abnormalities was 26.9%, which was significantly higher than that of lean non-MAFLD group (P<0.001). Multivariate logistic regression analysis showed that gender, age, BMI, hypertension, abnormal glucose metabolism, triglyceride (TG), mixed hyperlipidemia, high-density lipoprotein cholesterol (HDL-C) and hyperuricemia were the independent risk factors of lean MAFLD. Conclusion Interventions on the related risk factors should be conducted as early as possible. Strengthening the early health education for the physical examination population, and taking measures against the risk factors of MAFLD are expected to reduce the incidence of MAFLD.

Key words: non-alcoholic fatty liver disease, risk factors, cross-sectional study

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