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A multivariate regression model predicted falls in residents living in intermediate hostel care
To evaluate whether individual falls risk could be predicted in a frail elderly population. We developed and tested an assessment tool and falls risk score for predicting falls based on a multivariate regression model in a prospective cohort study of intermediate care residents. During the follow-up...
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Published in: | Journal of clinical epidemiology 2005-05, Vol.58 (5), p.503-508 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | To evaluate whether individual falls risk could be predicted in a frail elderly population.
We developed and tested an assessment tool and falls risk score for predicting falls based on a multivariate regression model in a prospective cohort study of intermediate care residents.
During the follow-up period, 1,736 falls by 1,107 subjects were recorded with an average of 170 falls per 100 person-years. Fifty percent of the study population had at least one fall within a year. Significant independent risk factors were poor balance, cognitive impairment, incontinence, higher illness severity rating, and older age. Twenty-two percent of participants with a falls risk score ≥7 accounted for 42% of the total falls, with a falls rate of 317 per 100 person-years. This rate was a sixfold increase from the falls rate of 52 per 100 person-years observed in participants with a score < 3. A high score (≥7) indicated almost a 2 in 3 chance of falling, while a low score ( |
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ISSN: | 0895-4356 1878-5921 |
DOI: | 10.1016/j.jclinepi.2004.08.018 |