A Community-based Cross-sectional Study to Assess Fall Risk amongst the Geriatric Population Using the STRATIFY Scale

Abstract Background: Falls are a globally recognised source of morbidity, mortality and disability in the aging population. Early risk assessment, such as with the validated STRATIFY scale, can guide targeted prevention. Objective: The aim of this study was to determine the prevalence of high fall risk amongst community-dwelling elderly using the STRATIFY scale and to identify independent socio-demographic and clinical predictors. Methods: This cross-sectional study included 250 individuals aged ≥60 years from North India, an urban–rural mixed population. Demographic, clinical and functional data were collected through structured interviews, and the STRATIFY scale was applied. Bivariate and multivariable analyses were conducted to elucidate factors associated with fall risk. Results: More than half of the participants (52%) were classified as high risk. Significant independent predictors were age over 70 years, polypharmacy and previous falls. The findings are supported by a synthesised summary figure and comprehensive tables. Conclusions: The STRATIFY scale is effective for identifying the elderly at elevated fall risk. Targeted interventions for those with polypharmacy, advanced age or a history of falls are recommended.