Diep Nguyen The, Nguyen Tien Van, Phuong Bui Thi Minh, Thanh Nguyen Duc, Le Duc-Cuong, Duynh Nguyen Trong, Quynh Nham Tien
Department of Traumatology, Thai Binh University of Medicine and Pharmacy, Thai Binh, Vietnam.
Department of Healthcare Organization and Management, Faculty of Public Health, Thai Binh University of Medicine and Pharmacy, Thai Binh, Vietnam.
Front Public Health. 2025 Aug 4;13:1609745. doi: 10.3389/fpubh.2025.1609745. eCollection 2025.
Falls represent a significant health threat to the older adult, often leading to severe disability and a decline in functional independence. Effective strategies for early prediction and detection are therefore essential to ensure the health and safety of older adults. This study aims to evaluate the proportion of fall risk and some factors related to fall risk of the older adult living at the Examination Department, Thai Binh University of Medicine Hospital.
A cross-sectional study was conducted on 404 older adults who presented as outpatients at Thai Binh Medical University Hospital between October 2023 and June 2024. Data were collected via direct interviews using the Vietnamese-translated STEADI-CDC Fall Risk Questionnaire (FRQ). A decision tree model was employed to identify the most significant predictive factors for fall risk.
Among the 404 older adults participating in the study, the risk of falling was 19.6%. The average FRQ score was 11.0 ± 2.7 points. Similarly, older adults with osteoarthritis had a risk of falling of 18.3%, while in the group without osteoarthritis, it was 5.6%. Decision tree analysis revealed two important factors that increased the risk of falling: a history of previous falls and osteoarthritis status.
A history of previous falls and the presence of bone and joint disease are critical predictive factors for fall risk in this older adult outpatient population. These findings suggest a simplified, two-question screening approach could be effectively implemented in clinical practice to identify high-risk individuals for targeted preventive interventions.
跌倒对老年人构成重大健康威胁，常导致严重残疾和功能独立性下降。因此，有效的早期预测和检测策略对于确保老年人的健康和安全至关重要。本研究旨在评估太平医科大学医院体检科老年患者的跌倒风险比例以及一些与跌倒风险相关的因素。
于2023年10月至2024年6月对404名在太平医科大学医院门诊就诊的老年人进行了横断面研究。通过使用越南语翻译版的美国疾病控制与预防中心（CDC）跌倒风险问卷（FRQ）进行直接访谈收集数据。采用决策树模型来确定跌倒风险的最重要预测因素。
在参与研究的404名老年人中，跌倒风险为19.6%。FRQ平均得分为11.0 ± 2.7分。同样，患骨关节炎的老年人跌倒风险为18.3%，而未患骨关节炎的组中，跌倒风险为5.6%。决策树分析揭示了增加跌倒风险的两个重要因素：既往跌倒史和骨关节炎状况。
既往跌倒史以及骨与关节疾病的存在是该老年门诊人群跌倒风险的关键预测因素。这些发现表明，一种简化的、包含两个问题的筛查方法可在临床实践中有效实施，以识别高风险个体进行有针对性的预防干预。
