Non-alcoholic fatty liver disease related health outcomes and influencing factors among community inhabitants / 上海预防医学

ABSTRACT

ObjectiveTo describe different non-alcoholic fatty liver disease （NAFLD） outcomes among community inhabitants， and further to explore the correlation between bio-indicator level variance and the outcomes. MethodsPhysical indicators （height， weight， waist circumstances， hip circumstances， blood pressure， etc）， biochemical indicators ［fasting plasma glucose， HbA1c， serum triglycerides（TG）， serum total cholesterol（TC）， low-density lipoprotein cholesterol（LDL-C）， high-density lipoprotein cholesterol（HDL-C）， liver related transaminase， etc］ and clinical imaging （B-scan ultrasonography） were collected during the follow-up from the Songjiang Natural Population Sub-cohort. The identification of NAFLD was supported by the definition criteria from Guidelines for the diagnosis and treatment of non⁃alcoholic fatty liver disease. Paired t-test and multifactorial logistic regression model were used to compare the difference between the indicator level of the subjects from different outcome subgroups and to further analyze the correlation between these indicator variance and different NAFLD outcomes. ResultsDuring a median follow-up time of 2.94 years， 12 076 subjects were involved. The cumulative NAFLD incidence and remission rate were 21.57% and 31.15%， respectively. The proportion of subjects who still had NAFLD was 27.96%. Among subjects with newly-developed NAFLD， indicators including blood pressure， BMI， fasting plasma glucose， and plasma lipid level increased， while in the remission subgroup， blood pressure， BMI（WHR）， waist-hip ratio（WHR）， and TG level were significantly decreased. Increased level of systolic pressure， WHR， BMI， HbA1c， and LDL-C might be the risk factors to the occurrence of NAFLD. While decreased level of WHR， BMI， TC and LDL-C level and elevated HDL-C level were likely to be the influencing factors of NAFLD remission process. ConclusionThe NAFLD morbidity in the community inhabitants is relatively high. BMI， WHR， fasting plasma sugar and plama lipid level variance may act as the influencing factors towards different NAFLD outcomes.