Objective To investigate the difference in the risk of cardiovascular diseases between patients with different subtypes of non-alcoholic fatty liver disease （NAFLD） from the perspective of metabolism， since cardiovascular events induced by metabolic disorders are the leading cause of death in NAFLD. Methods The cluster sampling method was used to conduct a multicenter cross-sectional study among three representative hospitals in Pudong New Area of Shanghai， China. A total of 37 122 sets of physical examination data from July 2022 to June 2023 were collected and stratified according to body mass index （BMI）. The chi-square test was used for comparison of continuous data between groups， and a multivariable Logistic regression analysis was used to investigate the association between NAFLD subtypes and cardiometabolic risk factors. Results A total of 9 372 cases of NAFLD were detected， with a detection rate of 25.25%， and more than 97% of these patients were diagnosed with metabolic associated fatty liver disease （MAFLD）. The subgroup analysis showed that the detection rates of lean， overweight， and obese NAFLD were 7.72%， 33.99%， and 63.56%， respectively. Compared with the patients with lean or overweight NAFLD， the patients with obese NAFLD showed a significantly higher proportion of patients with abnormalities in blood pressure， blood glucose， triglyceride （TG）， high-density lipoprotein （HDL） or uric acid （all P<0.001）. Among related risk factors， lean NAFLD was associated with the increase in total cholesterol （TC）（P<0.05）， while overweight NAFLD and obese NAFLD were not associated with TC abnormalities （P>0.05）； obese NAFLD was not associated with TG abnormalities， while lean NAFLD and overweight NAFLD were associated with TG abnormalities （both P<0.05）； all types of NAFLD were associated with the abnormalities of waist-hip ratio， blood pressure， blood glucose， low-density lipoprotein， HDL， and uric acid （all P<0.05）. Conclusion The detection rates of different subtypes of NAFLD in Shanghai Pudong are close to those reported in China and globally， and the epidemiologic data of NAFLD can be used analogously for MAFLD. There are certain differences in the distribution and association of cardiometabolic risk factors between different subtypes of NAFLD， and targeted interventions should be formulated based on the metabolic characteristics of each type of NAFLD.