Abstract： Objective:To analyze the related factors affecting the inter-arm systolic blood pressure difference (IASBPD) in a physical examination population.Methods:A total of 3 600 adults who underwent physical examination and completed the arteriosclerosis test in the first affiliated hospital of Anhui medical university from January 2019 to June 2021 were selected as the participants by systematic sampling method. Data on age, sex, and history of smoking, heavy drinking, hypertension, type 2 diabetes, and coronary heart disease were recorded. The height, weight, waist circumference, hip circumference, total muscle, total fat and body fat ratio were measured, and body mass index was calculated. The blood pressure of the limbs, ankle brachial index (ABI) were measured synchronously with the arteriosclerosis tester of the Chinese Academy of Sciences, and the IASBPD were calculated. According to the IASBPD value, the participants were divided into two groups: IASBPD<10 mmHg (1 mmHg=0.133 kPa) group and IASBPD≥10 mmHg group, The differences between the two groups were compared, and the related influencing factors of IASBPD were analyzed by multivariate logistic regression.Results:Weight, body mass index, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, total muscle, total fat, body fat rate, history of hypertension, proportion of type 2 diabetes mellitus, and proportion of history of coronary heart disease in the IASBPD≥10 mmHg group was higher than that of IASBPD<10 mmHg group [(69.1±11.2) vs (65.3±10.8) kg, (25.6±3.4) vs (24.4±3.3) kg/m 2, (91.3±11.3) vs (87.8±10.6) cm, (98.5±10.4) vs (96.5±9.8) cm, (139.7±20.0) vs (129.7±17.6) mmHg, (80.3±11.6) vs (76.7±10.1) mmHg, (47.5±9.1) vs (45.3±8.8) kg, (19.4±7.0) vs (17.6±6.4) kg, (27.9%±8.5%) vs (26.8%±8.1%), 41.1% vs 29.3%, 16.6% vs 11.7%, 13.1% vs 7.3%] (all P<0.05); ABI was lower than that in IASBPD<10 mmHg group [(1.15±0.11) vs (1.20±0.09)] ( P<0.001). There were no significant differences in height, smoking history and heavy drinking history between the two groups (all P>0.05). Multivariate logistic regression analysis showed that age, systolic blood pressure, body weight and ABI were independent influencing factors of IASBPD≥10 mmHg. Age, systolic blood pressure and body weight were positively correlated with IASBPD≥10 mmHg, while ABI was negatively correlated with IASBPD≥10 mmHg. Conclusion:Increases in age, systolic blood pressure, and body weight and a decrease in ABI are important influencing factors leading to the elevation of IASBPD.