Objective: To investigate the association between MS(metabolic syndrome) and its components and the risk of stroke. Methods: Prospective cohort study was used to compare the differences in demographic information, behavioral lifestyle, eating habits, disease history and MS-related indicators between people with and without stroke. The Cox proportional hazards regression analysis model was used to analyze the association between MS components and their interactions and the incidence of stroke. Results: The age, WC (waist circumference), BMI (Body mass index), BP (blood pressure), TC (Total cholesterol), TG (Triglycerides), and FPG (Fasting plasma glucose) of people with stroke onset were all higher than those without stroke. After adjusting for confounding factors, MS, WC, TG, BP, and FPG were all associated with an increased risk of stroke, and abnormal BP had the strongest association with stroke. There was no multiplicative interaction or additive interaction between WC, TG, BP and FPG. Conclusion: MS was related to increased risk of stroke. WC, TG, BP and FPG were independent risk factors for stroke. Abnormal BP had the greatest impact on the incidence of stroke.