@article{ref1,
title="Comparison of Regression Models for the Analysis of Fall Risk Factors in Older Veterans",
journal="Annals of epidemiology",
year="2009",
author="Gill, Dawn P. and Zou, Guang Yong and Jones, Graham R. and Speechley, Mark",
volume="19",
number="8",
pages="523-530",
abstract="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.<p /> <p>Language: en</p>",
language="en",
issn="1047-2797",
doi="10.1016/j.annepidem.2009.03.012",
url="http://dx.doi.org/10.1016/j.annepidem.2009.03.012"
}