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医院工作人员代谢相关性脂肪肝的患病率和危险因素
Authors Zhang D , Zhang L, Chen S , Chen R, Zhang X, Bai F
Received 22 February 2023
Accepted for publication 12 April 2023
Published 27 April 2023 Volume 2023:16 Pages 1221—1234
DOI https://doi.org/10.2147/DMSO.S407657
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Prof. Dr. Juei-Tang Cheng
Background: The prevalence of metabolism-related fatty liver disease (MAFLD) has been rarely reported in hospital staffs. The aim of this study was to assess the prevalence and risk factors for MAFLD in hospital staffs aged ≥ 18 years.
Methods: Based on type B ultrasonic, hospital staffs who underwent medical examinations at the second Affiliated Hospital of Hainan Medical University from January 2022 to March 2022 were classified into health control group (661 subjects) and MAFLD group (223 subjects), demographic, biochemical and blood examination information were compared between 2 groups. Independent risk factors for MAFLD were determined by logistic regression. Predictive values of risk factors of MAFLD were evaluated by receiver operating characteristic (ROC) curves.
Results: The prevalence of MAFLD was 33.7%. Older age (OR=1.08, p < 0.001), H. pylori infection (OR=0.234, p =0.02), triglyceride-glucose (TyG) (OR=7.001, p < 0.001), low-density lipoprotein cholesterol (LDL-C) (OR=2.076, p = 0.028), red blood cell (RBC) (OR=2.386, p =0.001), eating out (OR=0.048, p =0.001), regular exercise (OR=23.017, p < 0.001), and overweight (OR=3.891, p = 0.003) were independently associated factors for MAFLD. The AUC of model predicting MAFLD is 0.910 [95% CI (0.886, 0.934)], with 0.794 sensitivity, 0.908 specificity. The diagnostic value of model was higher in the female MAFLD group after stratified analysis according to gender. The model showed that TyG was the factor contributing more to MAFLD. The diagnostic value of TyG was higher in the female MAFLD group than male MAFLD group.
Conclusion: The prevalence of MAFLD among hospital staffs was 33.7%. TyG can be used to predict MAFLD especially for female hospital staffs for early intervention.
Keywords: metabolic-associated fatty liver disease, MAFLD, hospital staffs, risk factors, triglyceride-glucose index, TyG, red blood cell, RBC, H. pylori infection