Abstract: Objective To explore the correlation between platelet count and metabolic syndrome. Methods Our cohort was based on a “Multi-center Health Management Cohort”. People who did at least two health examinations, didnt have missing value in important variables, and were free of metabolic syndrome at baseline were selected into the prospective cohort. The study subjects were divided into four groups according to the baseline platelet count quartile, and the incidence density of each group was compared. The characteristics of each variable were described in the four groups at baseline. The Cox proportional regression model was used in this study, where we adjusted age, gender, BMI, hyperglycemia, hypertension and dysplasia gradually, to explore whether the platelet count was still a risk factor for metabolic syndrome before and after adjustment of confounding factors. Results There were 14 173 individuals who were aged 21-60 in this cohort. The total follow-up time was 41 014.8 person-year. The average follow-up time was 2.89 years. A total of 1 611 people were diagnosed as having metabolic syndrome. The incidence density of this cohort was 39.28/1 000 person-year. The platelet counts were always statistically significant in model 1(single factor analysis), 山 东 大 学 学 报 (医 学 版)56卷12期 -马晓天,等.血小板计数与代谢综合征关联性的前瞻性队列研究 \=-model 2(adjusted for age and gender)and model 3(adjusted for age, gender, BMI, hyperglycemia, hypertension and dysplasia), with similar HR values. Q2 didnt have a statistical difference with Q1 in model 1, while Q3 and Q4 had. In model 2 and model 3, Q2-Q4 all had statistical significance when compared to Q1, and their HR values increased from Q2 to Q4. It showed that with the increase of platelet count, the risk of metabolic synthesis increased. Conclusion Elevated platelet count is an independent risk factor for metabolic syndrome.

Key words: Platelet count, Metabolic syndrome, Check-up crowd, Cohort, Cox model