Dataset for Accuracy of an accelerometer-based smartphone application for balance assessment to predict falls in older adults

The purpose of this study was to examine the accuracy of an ACC-based smartphone application for predicting falls in community-dwelling older persons and to determine whether ACC-based smartphone balance assessment approach was more successful at predicting falls in older adults. At baseline, eighty older persons completed a balance evaluation using an accelerometer-based smartphone application that includes the Modified Clinical Test of Sensory Interaction in Balance (MCTSIB), a single-leg stance (SL) test, and a limit of stability (LOS) test. Additionally, the fall rate was documented throughout a six-month follow-up period. Accuracy was determined using the area under the receiver operating characteristic curve (AUC).