This study aimed to assess the predictive performance and establish optimal cut-off points of blood pressure for identifying arteriosclerosis in eastern Chinese adults. Brachial–ankle pulse wave velocity (baPWV) was utilized to evaluate arteriosclerosis. The predictive performance of blood pressure for arteriosclerosis was determined by the area under the curve (AUC) of receiver operating characteristics; the optimal blood pressure cut-off points were determined by Youden’s index. A logistic regression model was used to acquire the odds ratio (OR) of blood pressure for arteriosclerosis. The AUCs of blood pressure for identifying arteriosclerosis were 0.868 (95%CI: 0.860–0.875) for systolic blood pressure (SBP) and 0.835 (95%CI: 0.827–0.843) for diastolic blood pressure (DBP), both p < 0.01. The AUCs of women were higher than that of men (0.903 vs. 0.819 for SBP; 0.847 vs. 0.806 for DBP; Z test p < 0.05). The AUCs in the 18–39.9-years group were higher than that in the 40–59.9-years and 60–84-years groups (0.894 vs. 0.842 and 0.818 for SBP; 0.889 vs. 0.818 and 0.759 for DBP; Z test p < 0.05). The total optimal cut-off points of blood pressure for predicting arteriosclerosis were 123.5/73.5 mmHg (SBP/DBP) overall; 123.5/73.5 and 126.5/79.5 mmHg for women and men, respectively; and 120.5/73.5, 123.5/76.5, and 126.5/75.5 mmHg for 18–39.9-years, 40–59.9-years, and 60–84-years groups, respectively. Blood pressure indexes had a high predictive performance for identifying arteriosclerosis with the optimal cut-off point of 123.5/73.5 mmHg (SBP/DBP) in eastern Chinese adults. Women or the younger population have a higher predictive performance and lower cut-off points to identify arteriosclerosis.

Aim: This study aimed to analyze the kinematic characteristics of snatch techniques in a world-class weightlifter who holds the world record in the 73 kg category. Methods: Two high-speed cameras (Sony, Tokyo, Japan, 25 Hz) were used to collect kinematic data at the 2019 Weightlifting World Championships. The SIMI° motion capture system (Simi Reality Motion Systems GmbH, Munich, Germany, 50 Hz) was used to analyze the snatch performance. Results: The lower limb movement during the first pulling stage showed a similar trajectory to elite weightlifters. The athlete showed 5.62° of knee flexion along with continuously increasing barbell velocity (maximal velocity up to 1.90 m/s) in the second pulling. Considering the perimeters of technical stability, the maximal value of the distance between the center of gravity of the human body and that of the barbell was 17.20 cm after the second pull. In addition, the barbell center simultaneously shifted 7.00 cm to the right. Conclusions: These results suggest that the world-record weightlifter possesses special technical characteristics. This personalized technical model provides basic information for the training of other elite weightlifters.