YAN Jie, HONG Jie, SUN Chun, XIAO Yao
Objective To analyze the patterns and spatial distribution characteristics of major injury deaths among permanent residents in Jingzhou city in 2023, and to provide data support for effective implementation of injury intervention in Jingzhou city. Methods Data about injury deaths among permanent residents in Jingzhou city in 2023 were extracted from the death information registration management system. The death data were collated with Excel 2010, and the death rate and constituent ratio were calculated. Data from the Seventh National Population Census released in 2020 were used to standardize the injury death rate. ArcGIS10.8 software was employed to conduct spatial autocorrelation analysis on the major injury death patterns among permanent residents in Jingzhou city in 2023. Results There were 5,437 injury deaths among permanent residents in Jingzhou city in 2023, with the crude injury death rate of 105.88/100,000 and the standardized injury death rate of 84.03/100,000. The top 5 injury death patterns were accidental falls, suicide, motor vehicle traffic accidents, drowning, and other non-accidental incidents and adverse effects, with 1,688, 1,585, 980, 469 and 367 deaths respectively. These top 5 injury death patterns accounted for 93.60% of all injury deaths. The crude injury death rate was higher in males than in females (χ2=17.939, P<0.001), but lower inurban areas than in rural ones (χ2=366.197, P<0.001). The injury death rates from drowning, suicide, motor vehicle traffic accidents and accidental falls were found to be the highest in the groups aged 0-19, 20-34, 35-64 years, and 65 years and above respectively, with the death rate being 5.41/100,000, 6.37/100,000, 17.70/100,000 and 152.63/100,000 respectively. Deaths caused by accidental falls, suicide, motor vehicle traffic accidents and drowning among permanent residents in Jingzhou city in 2023 all showed a certain degree of spatial aggregation. The global Moran’s I index for accidental falls was 0.160 (Z=2.396, P=0.017), for suicide 0.306 (Z=4.441, P<0.001), for motor vehicle traffic accidents 0.198 (Z=2.878, P=0.004), and for drowning 0.364 (Z=5.050, P<0.001). Local spatial autocorrelation analysis displayed that the high-high aggregation areas were mainly distributed in the rural areas of Jingzhou city, while the low-low aggregation areas in the central urban areas of Jingzhou city. Conclusions The major injury death patterns in Jingzhou city in 2023 were accidental falls, suicide, motor vehicle traffic accidents and drowning. These major injury death patterns show differences in genders, urban-rural areas and ages, as well as spatial aggregation.