Increased body fat percentage in patients with hepatitis B and C virus infection.
Yuan-Yuei ChenWen-Hui FangChung-Ching WangTung-Wei KaoYaw-Wen ChangHui-Fang YangChen-Jung WuYu-Shan SunWei-Liang ChenPublished in: PloS one (2018)
Accumulated evidence has suggested associations between glucose abnormalities and insulin resistance with hepatitis C virus (HCV) and hepatitis B virus (HBV) infections. However, few studies have reported the effect of hepatitis virus infections on body composition. Our aim was to explore the association of hepatitis virus infections with percent body fat (PBF) in a cross-sectional analysis. A total of 69226 subjects obtained from the health examinations at Tri-Service General Hospital (TSGH) from 2010 to 2016 were enrolled in the study. Participants were divided into subgroups based on the presence of hepatitis B surface antigen (HBsAg) and anti-HCV. PBF was measured by bioelectrical impedance analysis (BIA). A multivariable linear regression model was applied to test the association of hepatitis virus infections with PBF and glycemic status. In male participants, hepatitis virus infections were closely associated with increased PBF, especially in those subjects with HCV/HBV coinfection. HCV/HBV coinfection was positively correlated with fasting plasma glucose and postprandial glucose while HCV and HBV mono-infection were not. The impact of hepatitis virus infection on increased PBF was observed in general population with gender difference. A further study on the treatment of hepatitis virus infection might help prevent the development of obesity-related diseases.
Keyphrases
- healthcare
- hepatitis b virus
- hepatitis c virus
- body composition
- insulin resistance
- human immunodeficiency virus
- liver failure
- blood glucose
- type diabetes
- metabolic syndrome
- mental health
- health information
- adipose tissue
- emergency department
- magnetic resonance imaging
- blood pressure
- skeletal muscle
- bone mineral density
- public health
- glycemic control
- computed tomography
- body mass index
- case control
- human health
- smoking cessation
- neural network