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Comparison of regression models for the analysis of fall risk factors in older veterans.

机译:用于分析退伍军人中跌倒危险因素的回归模型的比较。

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PURPOSE: To compare the performance of eight regression models for analyzing risk of falling, focusing on the effect of physical inactivity in older veterans. METHODS: This study uses data from a fall risk factor screening and modification trial in community-dwelling Canadian male veterans of World War II or the Korean War, with falls ascertained prospectively using calendars and physical activity (PA) measured at baseline with a single global question. The effect of PA on falling was assessed using eight different multivariable regression models, with three models treating falling as a non-recurrent event whereas the other five models regard falls as recurrent events. RESULTS: Recurrent event models showed that male veterans who reported being less active than their peers were 1.42 (1.02-1.97) to 2.46 (1.18-5.14) times more likely to fall than those who reported being about as or more active than their peers (n = 270; mean age +/- SD = 81.1 +/- 4.0 years). None of the non-recurrent event models detected a statistically significant association between PA and falls. CONCLUSIONS: Risk of falling may be better analyzed using regression models for recurrent events. These results have important implications for the collection and analysis of fall outcome data.
机译:目的:为了比较八个回归模型的性能,以分析跌倒的风险,重点是对老年退伍军人缺乏身体活动的影响。方法:本研究使用第二次世界大战或朝鲜战争中居住在社区的加拿大男性退伍军人的跌倒危险因素筛选和修正试验的数据,使用日历和体力活动(PA)前瞻性确定跌倒的情况,基线为单个全球题。使用八个不同的多元回归模型评估了PA对跌倒的影响,其中三个模型将跌倒视为非复发事件,而其他五个模型则将跌倒视为复发事件。结果:复发事件模型显示,报告称自己的活动能力低于同龄人的男性退伍军人的摔倒几率比报告中的同龄人的同龄人的同龄人的同龄人的同龄人的同龄人要高出同龄人的1.42(1.02-1.97)-2.46(1.18-5.14) n = 270;平均年龄+/- SD = 81.1 +/- 4.0岁)。没有一个非周期性事件模型检测到PA与跌倒之间存在统计学上的显着关联。结论:跌倒风险可以通过回归模型对复发事件进行更好的分析。这些结果对秋季结果数据的收集和分析具有重要意义。

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