Prediction of Adverse Outcomes in Nursing Home Residents According to Intrinsic Capacity Proposed by the World Health Organization.

Background: This study aimed to evaluate the predictive value of the domains of intrinsic capacity (ie, cognition, locomotion, sensory, vitality, and psychosocial) proposed by the World Health Organization (WHO) on the 3-year adverse health outcomes of nursing home residents.

Methods: A 3-year incidence of mortality, falls, repeated falls, and autonomy decline (ie, a one-unit increase in the Katz score) was assessed in a cohort of Belgian nursing home residents. Cognition was assessed using the Mini-Mental State Examination (MMSE).

Using supervised learning machine algorithm to identify future fallers based on gait patterns: A two-year longitudinal study.

Introduction: Given their major health consequences in the elderly, identifying people at risk of fall is a major challenge faced by clinicians. A lot of studies have confirmed the relationships between gait parameters and falls incidence. However, accurate tools to predict individual risk among independent older adults without a history of falls are lacking.

Normative data for isometric strength of 8 different muscle groups and their usefulness as a predictor of loss of autonomy among physically active nursing home residents: the SENIOR cohort.

Objectives: To provide normative values for isometric strength of 8 different muscle groups among nursing home residents and to investigate their predictive value for the decline of autonomy.

Methods: This is an analysis of the 1-year follow-up of the SENIOR cohort. At baseline, isometric muscle strength of residents has been assessed for 8 muscle groups using the MicroFET2.