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Abstract：
the aim of this study was to retrospectively operationalise the World Guidelines for Falls Prevention and Management (WGFPM) falls risk stratification algorithm using data from The Irish Longitudinal Study on Ageing (TILDA). We described how easy the algorithm was to operationalise in TILDA and determined its utility in predicting falls in this population.
participants aged ≥50 years were stratified as \'low risk\', \'intermediate\' or \'high risk\' as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).
5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.
the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.
participants aged ≥50 years were stratified as \'low risk\', \'intermediate\' or \'high risk\' as per WGFPM stratification based on their Wave 1 TILDA assessments. Groups were compared for number of falls, number of people who experienced one or more falls and number of people who experienced an injury when falling between Wave 1 and Wave 2 (approximately 2 years).
5,882 participants were included in the study; 4,521, 42 and 1,309 were classified as low, intermediate and high risk, respectively, and 10 participants could not be categorised due to missing data. At Wave 2, 17.4%, 43.8% and 40.5% of low-, intermediate- and high-risk groups reported having fallen, and 7.1%, 18.8% and 18.7%, respectively, reported having sustained an injury from falling.
the implementation of the WGFPM risk assessment algorithm was feasible in TILDA and successfully differentiated those at greater risk of falling. The high number of participants classified in the low-risk group and lack of differences between the intermediate and high-risk groups may be related to the non-clinical nature of the TILDA sample, and further study in other samples is warranted.
摘要：
背景：本研究的目的是使用爱尔兰老龄化纵向研究（TILDA）的数据，回顾性地实施世界跌倒预防和管理指南（WGFPM）跌倒风险分层算法。我们描述了该算法在TILDA中操作的容易程度，并确定了其在预测该人群中跌倒方面的实用性。
方法：年龄≥50岁的参与者被分层为“低风险”，根据第1波TILDA评估，根据WGFPM分层进行的“中间”或“高风险”。比较各组跌倒次数，经历一次或多次跌倒的人数以及在第1波和第2波之间跌倒（大约2年）时受伤的人数。
结果：5,882名参与者被纳入研究；4,521,42和1,309被归类为低，中等和高风险，分别,10名参与者由于数据缺失而无法进行分类。在第二波，17.4%，43.8%和40.5%的低收入，报告说，中危和高危人群跌倒了，和7.1%，18.8%和18.7%，分别,报告说他因摔倒受伤。
结论：在TILDA中实施WGFPM风险评估算法是可行的，并成功区分了跌倒风险较大的人群。低风险组的参与者数量较多，中危和高危组之间缺乏差异可能与TILDA样本的非临床性质有关，和其他样品的进一步研究是必要的。
方法：年龄≥50岁的参与者被分层为“低风险”，根据第1波TILDA评估，根据WGFPM分层进行的“中间”或“高风险”。比较各组跌倒次数，经历一次或多次跌倒的人数以及在第1波和第2波之间跌倒（大约2年）时受伤的人数。
结果：5,882名参与者被纳入研究；4,521,42和1,309被归类为低，中等和高风险，分别,10名参与者由于数据缺失而无法进行分类。在第二波，17.4%，43.8%和40.5%的低收入，报告说，中危和高危人群跌倒了，和7.1%，18.8%和18.7%，分别,报告说他因摔倒受伤。
结论：在TILDA中实施WGFPM风险评估算法是可行的，并成功区分了跌倒风险较大的人群。低风险组的参与者数量较多，中危和高危组之间缺乏差异可能与TILDA样本的非临床性质有关，和其他样品的进一步研究是必要的。
