Abstract
Background: Diabetes mellitus type 2 is a major chronic condition that is considered common among elderly people, with multiple potential complications that could contribute to falls. However, this concept is not well understood; thus, the aim of this study is to estimate the prevalence of falls among diabetes patients. Methods: In this observational cross-sectional study, 309 diabetic patients aged 60 years or more who visited the primary healthcare centers of the Ministry of National Guard - Health Affairs in Jeddah were chosen via convenience sampling method. To collect the data, a structured Fall Risk Assessment questionnaire and Fall Efficacy Score scale were used. Results: The mean age of the participants was estimated to be 68.5 (SD: 7.4) years. Among the participants, 48.2% have fallen before, and 63.1% of them suffered falls in the past 12 months. The results showed that gait problems were independently associated with a higher likelihood of falls among elderly patients [odds ratio (OR) = 1.98; 95% CI: 1.08-3.62; P = 0.026]. Based on the linear regression analysis, we identified the following risk factors for lower falls efficacy: having gait problems (β = 12.50; 95% CI: 7.38-17.6; P < 0.001), balance difficulties (β = 6.58; 95% CI: 1.35-11.8; P = 0.014), and neurological/cognitive impairments (β = 9.62; 95% CI: 3.89-15.4; P = 0.001), as well as having poor sleep quality (β = 8.11, 95% CI: 3.32-12.9; P < 0.001). Conclusion: This paper suggests that diabetes mellitus is an independent fall risk factor among the elderly. Therefore, identifying such patients as being at higher risk and prompt referral to a specialist falls clinic is recommended.
Author supplied keywords
Cite
CITATION STYLE
Alasmari, R. S., Hassani, H. A., Almalky, N. A., Bokhari, A. F., Al Zahrani, A., & Hafez, A. A. (2023). Risk factors for fall among the elderly with diabetes mellitus type 2 in Jeddah, Saudi Arabia, 2022: a cross-sectional study. Annals of Medicine and Surgery, 85(3), 427–432. https://doi.org/10.1097/MS9.0000000000000269
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.