Objective To analyze the distribution and epidemic characteristics of child injury cases in Pingshan District from 2021 to 2022, and to provide evidence for the prevention and control of child injuries. Methods The injury monitoring data of Pingshan District from 2021 to 2022 were collected χ² and Post hoc testing were used for data analysis and comparison. Results From 2021 to 2022 , a total of 6 941 child injury cases were reported in Pingshan District, accounting for 20.58% of the total reported cases. Children aged 1 to 4 years old tended to be injured at home (58.49%, AR=23.75) and at night (43.74%, AR=5.34), and the injury causes mainly were falls/drops (49.22%, AR=4.66) and burns/scalds (2.98%, AR=7.15). Children aged 5 to 9 tended to be injured in schools and public places (26.55%%, AR=6.63) and public living places (18.51%, AR=3.33), and the injury causes mostly were animal attacks (26.48%, AR=6.97). Children aged 10 to 14 tended to be injured in schools and public places (31.39%, AR=10.81), highways/streets (17.71%, AR=3.78), as well as sports and activity places (12.20%, AR=15.66), and the injury causes tended to be knife/sharp instrument injuries. In the morning, injuries mostly occurred in schools and public places (17.98%, AR=3.24). In the afternoon, injuries tended to occur in schools and public places (39.41%, AR=9.89) as well as sports and activity places (37.50%, AR=3.52), and in the evening, injuries mostly occurred at home (46.49%, AR=10.17) and in public living places (46.07%, AR=5.44). Conclusion Governments, institutions, communities, and families should speed up the construction of a child injury prevention system with the participation of the whole society, and jointly create child-friendly environments in families, schools, public places, sports places, and road traffic . At the same time, it is necessary to strengthen injury prevention education , improve the injury prevention awareness and skills of students and guardians, and effectively reduce the occurrence of children's injuries starting from primary prevention.

Objective To explore the association of (cardiometabolic index , CMI ) and ( lipid accumulation product , LAP ) with the prevalence of hypertension in adults in Pingshan District, Shenzhen, and to evaluate the predictive value of CMI and LAP for the prevalence of hypertension. Methods A cross-sectional survey was conducted, in which 1000 permanent residents aged 18-69 years in Pingshan District, Shenzhen were randomly selected as survey subjects. The data were collected using questionnaires, physical measurements and blood tests, and the relationship between CMI, LAP and hypertension prevalence was analyzed using logistic regression models. Results A total of 987 subjects were included in the analysis, including 471 (47.72%) males and 516 (52.28%) females, with an average age of 40.9 ± 11.1 years. Subjects of different genders were divided into groups Q1 to Q4 according to quartiles of CMI and LAP, and the prevalence of hypertension increased with increasing levels of CMI and LAP in both men and women (P for trend < 0.001). Logistic regression analysis revealed that after adjusting for variables such as age and occupation, the OR for hypertension was 1.251 (1.025-1.526) and 1.685 (1.001-2.836) for men and women, respectively, for each standard deviation increase in CMI; the OR for hypertension was 3.519 (1.343-9.222) for men in the Q4 group, compared to the CMI subgroup Q1. For each standard deviation increase in LAP, the ORs for hypertension were 1.355 (1.089-1.686) and 1.825 (1.023-3.254) for men and women, respectively; compared to LAP subgroup Q1, the ORs for hypertension in the male Q3 and Q4 groups were 2.554 (1.103-5.909) and 5.322 (2.393-11.834), while the OR for hypertension in the female Q4 group was 2.906 (1.096-7.703). ROC analysis revealed that the area under the curve (AUC) for CMI, LAP, and BMI was 0.671, 0.704, and 0.702 for males, and 0.660, 0.722, and 0.697 for females, respectively. The AUC for LAP was greater than that for CMI for different genders (P < 0.01). Conclusion The greater the CMI and LAP values in adults in Pingshan District, Shenzhen , the higher the prevalence of hypertension. CMI and LAP have certain values in predicting the prevalence of hypertension.