Objective To analyze the relationship between obesity indicators,muscle mass indices and hypertension in Dongxiang adults, and establish and evaluate a Nomogram model based on these indicators used to predict the risk of hypertension in this population. Methods A total of 1209 Dongxiang adults from Linxia Prefecture, Gansu Province were selected, 11 obesity indicators and 5 muscle mass indicators,including neck circumference (NC), waist-to-hip ratio (WHR), BMI, ponderal index (PI), conicity index (CI), a body shape index (ABSI), body roundness index (BRI), abdominal volume index (AVI), hip index (HI), body adiposity index (BAI), and the ratio of limb fat mass to body weight(LFWR), appendicular skeletal muscle mass (ASM), appendicular skeletal muscle mass index (ASMI), appendicular skeletal muscle mass to BMI ratio (ASMBMI), skeletal muscle index (SMI), and trunk muscle mass to body weight ratio(TMWR) were measured. Logistic regression analysis was used to explore the relationship between each indicator and hypertension. Nomogram prediction model was constructed and validated by using R language. Results Among Dongxiang males, the NC, BMI, PI, WHR, CI, AVI, BRI, BAI, ASM, ASMI, and LFWR were lower in the normal and highnormal blood pressure groups compared to the hypertensive group, while SMI, ASMBMI, and TMWR were higher. Among females, similar trends were observed, with lower NC, BMI, PI, WHR, CI, AVI, BRI, BAI, and LFWR in the normal blood pressure and high-normal blood pressure groups compared to the hypertensive group, but SMI, ASMBMI, and TMWR higher than the hypertensive group (P<0.05). Results of multivariate Logistic regression analysis indicated that age, NC, and WHR were risk factors for hypertension in Dongxiang adults, while was protective factor (P<0.05). The area under curve(AUC) of the Nomogram model constructed based on these factors was 0.796, and the Bootstrap internal validation C-index was 0.7957, indicating good calibration of the model. Conclusion The Nomogram model constructed based on obesity and muscle mass indicators has good predictive efficiency for predicting the risk of hypertension in Dongxiang adults.