Ferrara Pietro, Monti Chiara Carla, Rozza Davide, Fornari Carla, Antonazzo Ippazio Cosimo, Ferrara Maria Cristina, Bellelli Giuseppe, Brandi Maria Luisa, Mantovani Lorenzo G, Mazzaglia Giampiero
Center for Public Health Research, University of Milan-Bicocca, Via Cadore 48, 20900, Monza, Italy.
Laboratory of Public Health, IRCCS Istituto Auxologico Italiano, Milan, Italy.
Aging Clin Exp Res. 2025 Jun 23;37(1):192. doi: 10.1007/s40520-025-03111-7.
Falls are a public health concern among older adults, particularly in nursing home (NH) residents, but in Italy data on fall incidence and risk factors remain limited.
To estimate the incidence of falls, identify associated risk factors, and evaluate the predictive value of the Tinetti Performance-Oriented Mobility Assessment (T-POMA) in a large cohort of NH residents.
We conducted a retrospective cohort study using electronic health records from 32 NHs managed by Kos Care company across Italy. Residents aged ≥ 65 years with at least one functional assessment were included. Fall incidence was calculated per 100 person-years. Cox proportional hazards regression models were used to identify predictors of time to first fall.
Overall, 754 residents (19.2%) experienced a fall. A T-POMA score ≤ 18 was a strong predictor of falls (HR 2.13; 95% CI: 1.61-2.81), along with age ≥ 85 years (HR 1.39; 1.02-1.90), male sex (HR 1.47; 1.27-1.71), cognitive impairment (HR 1.30; 1.10-1.53), hearing impairment (HR 1.26; 1.01-1.58), mood and behavioural disorders (HR 1.29; 1.09-1.54), and therapies known to increase fall risk (HR 1.29; 1.09-1.52). Poor general health (HR 0.63; 0.52-0.77) and frequent physical restraint (HR 0.70; 0.58-0.86) use were associated with lower fall risk. Severe fall consequences occurred in 15.9% of fallers and were significantly associated with low T-POMA scores and restraint use.
Falls are highly prevalent among Italian NH residents and influenced by multiple clinical and functional factors. These findings support the implementation of multifactorial fall prevention strategies and real-time risk monitoring in NH settings.
跌倒在老年人中是一个公共卫生问题,在养老院(NH)居民中尤为突出,但在意大利,关于跌倒发生率和风险因素的数据仍然有限。
估计跌倒发生率,确定相关风险因素,并评估Tinetti以性能为导向的移动性评估(T-POMA)在一大群NH居民中的预测价值。
我们使用了意大利Kos Care公司管理的32家NH的电子健康记录进行回顾性队列研究。纳入年龄≥65岁且至少进行过一次功能评估的居民。每100人年计算跌倒发生率。使用Cox比例风险回归模型确定首次跌倒时间的预测因素。
总体而言,754名居民(19.2%)发生了跌倒。T-POMA评分≤18是跌倒的有力预测因素(HR 2.13;95%CI:1.61-2.81),同时年龄≥85岁(HR 1.39;1.02-1.90)、男性(HR 1.47;1.27-1.71)、认知障碍(HR 1.30;1.10-1.53)、听力障碍(HR 1.26;1.01-1.58)、情绪和行为障碍(HR 1.29;1.09-1.54)以及已知会增加跌倒风险的治疗(HR 1.29;1.09-1.52)。总体健康状况差(HR 0.63;0.52-0.77)和频繁使用身体约束(HR 0.70;0.58-0.86)与较低的跌倒风险相关。15.9%的跌倒者出现了严重的跌倒后果,且与低T-POMA评分和约束使用显著相关。
跌倒在意大利NH居民中非常普遍,并受到多种临床和功能因素的影响。这些发现支持在NH环境中实施多因素跌倒预防策略和实时风险监测。