Abstract：Objective To investigate the current status and influencing factors of falls among the elderly in Shaoxing City, Zhejiang Province, so as to provide evidence for developing fall prevention and intervention strategies for the elderly. Methods From April 2023 to October 2025, residents aged ≥60 years in Shaoxing City were selected as study participants using multi-stage stratified random cluster sampling. Data on demographic characteristics, lifestyle behaviors, chronic diseases, body mass index (BMI), and falls in the past 1 year were collected through questionnaires and physical examinations.The Chinese version of the Frail Scale and the EuroQoL five-dimensions three-levels questionnaire were used to assess frailty status and health related quality of life, respectively. The incidence of falls among the elderly was analyse. A multivariable logistic regression model was used to analyze the influencing factors of falls. Results A total of 4 095 participants were surveyed. The mean age of participants was (71.17±6.89) years. There were 1 773 males (43.30%) and 2 322 females (56.70%). Falls were identified in 465 participants, with an incidence of 11.36%. Multivariable logistic regression analysis showed that unmarried/divorced/widowed (OR=1.263, 95%CI: 1.003-1.590), daily sedentary time ≥6 hours (OR=1.349, 95%CI: 1.050-1.733), pre-frailty (OR=2.316, 95%CI: 1.872-2.864) and frailty (OR=4.268, 95%CI: 2.577-7.068) had a higher risk of falls; junior high school or above education level (junior high school, OR=0.669, 95%CI: 0.484-0.926; high school and above, OR=0.413, 95%CI: 0.189-0.901), annual household income of 20 000-<100 000 yuan (20 000-<50 000 yuan, OR=0.699, 95%CI: 0.535-0.911; 50 000-<100 000 yuan, OR=0.669, 95%CI: 0.476-0.940), and higher health related quality of life (OR=0.076, 95%CI: 0.036-0.160) had a lower risk of falls. Conclusions The incidence of falls among the elderly in Shaoxing City was 11.36%. Falls were possibly associated with marital status, educational level, annual household income, daily sedentary time, frailty status and health related quality of life.
