Abstract：Objective To investigate the current status and influencing factors of moderate and severe injuries caused by falls among the elderly in Longhua District, Shenzhen City, Guangdong Province, so as to provide a basis for formulating prevention and control policies and intervention measures. Methods Data on elderly patients (aged ≥60 years) who sought first-time outpatient or emergency treatment for falls at sentinel hospitals in Longhua District from January 1, 2021, to December 31, 2024, were collected through the Shenzhen Injury Surveillance System. The data included general information, basic characteristics of the fall incidents, and clinical characteristics of the fall-related injuries. Factors affecting moderate and severe injuries caused by falls among the elderly were analyzed using a multivariable logistic regression model. Results A total of 2 797 elderly fall cases were reported in Longhua District from 2021 to 2024, including 990 males (35.40%) and 1 807 females (64.60%). The mean age was (70.56±8.85) years. There were 1 305 cases of moderate and severe injuries, accounting for 46.66%. Multivariable logistic regression analysis showed that female (OR=1.428, 95%CI: 1.211-1.684); 70-<80 years (OR=1.391, 95%CI:1.153-1.679), or ≥80 years (OR=1.586, 95%CI: 1.260-1.996); falls occurring at home (OR=1.659, 95%CI: 1.142-2.409), or in public residential settings (OR=1.666, 95%CI: 1.029-2.697); and activities during the fall such as walking (OR=1.738, 95%CI: 1.383-2.183) or performing life activities (OR=1.562, 95%CI: 1.254-1.947) were associated with a higher risk of moderate and severe injuries among elderly fall cases. High school/secondary technical school education level (OR=0.695, 95%CI: 0.526-0.919) and occupation as professional and technical/clerical staff (OR=0.540, 95%CI: 0.310-0.942) were associated with a lower risk of moderate and severe injuries among elderly fall cases. Conclusions The proportion of moderate and severe injuries caused by falls among the elderly in Longhua District is relatively high, which is mainly associated with gender, age, education level, occupation, fall location and activity during the fall.
