Original Article

Accuracy of Berg balance scale to predict falls among community elderly dwellers


Background & Aim: Berg balance scale (BBS) is one of the most applied tests to identify high-risk elderly people for fall. Fall is a common health problem among community senior citizens. A diag- nostic test to identify high-risk elderly people can prevent or alleviate falls. The purpose of this study was to determine the accuracy of BBS to predict falls among elderly community dwellers.
Methods  &  Materials:  This  cross-sectional  study  was  conducted  among  elderly  community dwellers in Shahroud, Semnan Providence, Iran. In this study, 1312 elderly individuals were regis- tered for the study, 455 of them were randomly selected as qualified participants. This study is a validity investigation on BBS among elderly community dwellers. To validate the BBS, research- ers assessed validity, specificity, positive and negative predictive values, positive likelihood ratio (LR+) and negative LR (LR−).
Results: The findings of this study showed that 243 subjects were male, and 212 subjects were female. The mean age of subjects were 71.45 ± 9.25 years. This study showed sensitivity  and specificity of 0.63 and 0.97, respectively. According to the findings of the study, LR+ and LR− were calculated as 9.57 and 0.39, respectively.
Conclusion: The results of the study are in harmony with the hypothesis to design the test, i.e. BBS have the acceptable accuracy to identify high-risk community elderly people for falls. How- ever, other influential factors such as personal and environmental variables are necessary to con- sider for prediction of falls.

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IssueVol 2 No 1 (2015): Winter QRcode
SectionOriginal Article(s)
accuracy elderly community berg balance scale likelihood ratio

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How to Cite
Dadgari A, Aizan Hamid T, Nazrul Hakim M, Chaman R, Mousavi SA, Poh Hin L, Dadvar L. Accuracy of Berg balance scale to predict falls among community elderly dwellers. NPT. 2(1):34-40.