1.Effect of HBV infection pattern on prevalence of fatty liver disease in Jinchang cohort
Wenling ZHANG ; Yana BAI ; Desheng ZHANG ; Yanhong ZHAO ; Chun YIN ; Yanbei HUO ; Jiao DING ; Yupei BA ; Na LI ; Ting GAN ; Yufeng WANG ; Ning CHENG
Chinese Journal of Epidemiology 2021;42(3):488-492
Objective:To investigate the influence of HBV infection on the prevalence of fatty liver disease in Jinchang cohort and provide theoretical evidence for the prevention and treatment of fatty liver disease.Methods:Epidemiological investigation, laboratory examination and abdominal ultrasound were conducted in the baseline population of Jinchang cohort to collect the basic data, the differences in the prevalence of fatty liver disease under different HBV infection patterns were described and compared and the influence of different HBV infection patterns on the prevalence of fatty liver disease were evaluated by using logistic regression analysis.Results:The baseline Jinchang cohort population totaled 45 605, including 27 917 males and 17 688 females. The male to female ratio was 1.6∶1. The mean age of the overall population was 46.49 years. Among the 8 common HBV infection modes in the Jinchang cohort, the prevalence of fatty liver was low in HBsAg, HBeAg and HBcAb positive, HBsAg and HBcAb positive, and HBsAg, HBeAb and HBcAb positive groups. For 4 serum markers of HBV infection, the prevalence of fatty liver disease in HBsAg and HBeAg positive groups was lower than that in HBsAg and HBeAg negative groups. Logistic regression analysis showed that being HBsAg and HBcAb positive ( OR=0.61, 95% CI: 0.39-0.98) and HBsAg, HBeAg and HBcAb positive ( OR=0.52, 95% CI: 0.30-0.89) could reduce the risk for fatty liver disease. Conclusion:Acute HBV infection reduces the prevalence of fatty liver disease, and the reason may be related to the disturbance of the body's fat metabolism by active HBV replication.
2.Analysis on influencing factors for nonalcoholic fatty liver disease in Jinchang cohort
Yanbei HUO ; Yana BAI ; Desheng ZHANG ; Xiaoyu CHANG ; Chun YIN ; Yupei BA ; Yufeng WANG ; Ting GAN ; Jiao DING ; Na LI ; Wenling ZHANG ; Ning CHENG
Chinese Journal of Epidemiology 2021;42(3):493-498
Objective:To explore the influencing factors for non-alcoholic fatty liver disease (NAFLD) in Jinchang cohort, and provide scientific basis for the prevention and control of NAFLD.Methods:A total of 20 051 patients without fatty liver at baseline survey and met the inclusion criteria in Jinchang cohort were selected as study subjects. Prospective cohort study and Cox regression analysis were used to investigate the influencing factors for NAFLD, and the dose-response relationship between related biochemical indicators and NAFLD risk was studied by restricted cubic spline method.Results:The incidence of NAFLD was 42.37/1 000 person years. Multivariate Cox regression analysis showed that being worker and technical personnel (being worker: HR=0.84,95% CI:0.70-0.99;being technical personnel: HR=0.73,95% CI:0.56-0.95), tea drinking (current drinking: HR=0.86,95% CI:0.78-0.94;previous drinking: HR=0.52,95% CI: 0.31-0.86), exercise (occasionally: HR=0.79, 95% CI: 0.68-0.91;frequently: HR=0.60,95% CI:0.52-0.69), low body weight ( HR=0.10, 95% CI: 0.05-0.22), daily intake of dairy products >300 ml/day ( HR=0.78, 95% CI: 0.71-0.87) and HBV infection ( HR=0.77, 95% CI: 0.60-0.99) were the protective factors for NAFLD, while being internal or office workers ( HR=1.84, 95% CI: 1.46-2.31), income ≥2 000 yuan (2 000- yuan: HR=1.32, 95% CI: 1.04-1.66; ≥5 000 yuan: HR=1.72, 95% CI:1.11-2.66), bachelor degree or above ( HR=1.35,95% CI:1.03-1.76), overweight ( HR=2.31, 95% CI:2.08-2.55), obesity ( HR=3.95, 95% CI: 3.42-4.56), impaired fasting blood glucose ( HR=1.31, 95% CI:1.17-1.47), diabetes ( HR=1.53, 95% CI: 1.30-1.80), increased TC ( HR=1.37,95% CI:1.24-1.52), increased TG ( HR=1.79,95% CI: 1.62-1.98), decreased HDL-C ( HR=1.29, 95% CI: 1.14-1.45), increased ALT ( HR=1.13, 95% CI: 1.01-1.26) and high-fat diet ( HR=1.24, 95% CI: 1.11-1.40) were the risk factors for NAFLD. Moreover, TC, TG, HDL-C, ALT and FPG all showed good dose-response relationship with the incidence of NAFLD. Conclusion:Occupation, education level, income level, tea drinking, exercise, BMI, FPG, blood lipid, ALT, HBV infection and diet were related to the incidence of NAFLD.