Background: Early prevention of hypertension is important for global cardiovascular disease morbidity and mortality. The current study aims to exploit better predictor for hypertension incidence related to baseline level or trajectories of adiposity indices, as well as the gender-specific effect.Methods: 6085 subjects from a functional community cohort in urban Beijing participated in our study. Restricted cubic splines were used to estimated nonlinear associations of BMI and WHtR as continuous variable with risk of hypertension. Stepwise logistic regression model was performed to estimate the RRs of adiposity indices and metabolic status, adjusted for covariates. Nomogram models and receiver operating characteristic (ROC) curve analysis was used to evaluate the predictive power of BMI trajectory groups and WHtR trajectory groups. Further, all analysis were performed by gender.Results: The risk of hypertension incidence was significant related to BMI trajectory groups (persistent overweight: RR=1.99, 95%CI: 1.57-2.52; persistent obese: RR=3.07, 95%CI: 2.40-3.93; persistent the highest: RR=4.55, 95%CI: 3.37-6.14) and WHtR trajectory groups (persistent medium: RR=2.90, 95%CI: 2.23-3.77; persistent high: RR=4.48, 95%CI: 3.41-5.89; increasing to higher: RR=7.77, 95%CI:5.48-11.0). In total population, BMI trajectories and WHtR trajectories showed similar ability to predict the risk of hypertension incidence with AUC 0.713 and 0.720, respectively. After stratified by gender, BMI trajectories showed higher power in female than male butsimilar in WHtR trajectories (BMI trajectories: 0.762 vs. 0.662; WHtR trajectories: 0.769 vs. 0.663). Conclusions: BMI and WHtR trajectories have higher predictive power for hypertension incidence compared to baseline data. Women are more vulnerable to obese and abnormal MS than man.