Fall Risk Assessment Among Residents of Ulaanbaatar

Abstract

Background: Globally, approximately 684,000 deaths occur annually due to falls. In Mongolia, 47 individual aged between 45 and 85 have died as a result of falls. Therefore, there is a pressing need to assess fall risks among the general population in Mongolia and identify risk factors to prevent accidents and injuries. Aim: To assess the risk of falls among individuals aged 45 years and older who are receiving care at tertiary-level referral hospitals in Ulaanbaatar, Mongolia. Materials and Methods: A cross-sectional study was conducted involving 408 participants aged 45 years and above who were attending tertiary-level hospitals in Ulaanbaatar. Fall risk was assessed using the internationally recognized Falls Risk Assessment Tool (FRAT) questionnaire. Data were analyzed using SPSS version 26.0. Results: The mean age of the participants was 59.24±6.54 years; 40% were male and 60% were female. Among the participants, 45.3% (n=185) were categorized as low risk, 33.6% (n=137) as moderate risk, and 21.1% (n=86) as high risk for falls. Logistic regression analysis was performed to identify significant risk factors associated with falls. Key factors included: slippery shoe soles (OR=0.226, 95% CI: 0.119–0.428, p=0.001), performing unexpected hazardous movements while changing positions (OR=0.262, 95% CI: 0.143–0.480, p=0.001), use of assistive walking devices (OR=0.209, 95% CI: 0.110–0.397, p=0.001), anxiety or unstable mental status (OR=0.276, 95% CI: 0.148–0.514, p=0.001), tendency to resist instructions or behave stubbornly (OR=0.330, 95% CI: 0.183–0.596, p=0.001), difÏculty in recognizing the surrounding environment (OR=0.354, 95% CI: 0.187–0.671, p=0.001), and a history of previous falls (OR=4.737, 95% CI: 2.151–10.429). Conclusions: 1. Based on the FRAT assesment, 45.3% of participants had low fall risk, 33.6% moderate risk, and 21.1% high risk. 2. Risk factors such as sudden movements, the use of assistive devices, and emotional instability significantly influence fall risk assessment, and individuals with a history of previous falls are 4.7 times more likely to experience another fall.