Sentence examples for multivariate fall risk from inspiring English sources

The purpose of this study was to develop a multivariate fall risk assessment model beyond the current fall Resident Assessment Protocol (RAP) triggers for nursing home residents using the Minimum Data Set (MDS).

Logistic regression models were used to calculate univariate and multivariate odds ratios for the associations between physiological fall risk (physiological profile assessment) and perceived fall risk (falls efficacy scale international) with falls in the 494 participants who completed the follow-up.

Results Multivariate logistic regression analyses showed that perceived and physiological fall risk were both independent predictors of future falls.

Multivariate linear regression analyses were performed for all participants to explore the best set of independent and significant correlates with perceived fall risk.

However current fall risk screening is inadequate.

Physical exercise also reduces fall risk.

This dynamic framework for fall risk adds important aspects that may improve understanding of fall mechanisms, fall risk models, and the development of fall prevention interventions.

Studies show that such ICT-based fall prevention interventions significantly reduce fall risk in older adults.

Fall risk screening is the basis for efficient intervention planning.

The Joint Commission requires that patients be assessed for fall risk and interventions in place to mitigate the risk of falls.

The fall risk profile developed in the Longitudinal Aging Study Amsterdam (LASA) identifies community-dwelling elderly at high risk for recurrent falling.