Showing 8491 - 8500 of 8768 results
Caring for the Ages
December 13, 2018
Caring for the Ages
July 31, 2015
JAMDA
February 19, 2015
JAMDA
August 8, 2023
Choosing the optimal sarcopenia screening tool for a specific clinical scenario is challenging. We aimed to summarize all validated sarcopenia screening tools with diagnostic accuracy tested in one or more study populations.
JAMDA
August 9, 2022
Subjective health measures are often used to assess frailty, but the validity of self-reported online tools to identify frailty remains to be established. We aimed to assess concurrent, known-groups, convergent and predictive validity of the Centre of Excellence on Longevity Self-AdMinistered (CESAM) quest...
JAMDA
June 15, 2014
Using data from the Hong Kong Mr and Ms Os study, we validated the SARC-F against 3 consensus definitions of sarcopenia from Europe, Asia, and an international group, and compared the ability of all 4 measures to predict 4-year physical limitation, walking speed, and repeated chair stands.
JAMDA
October 7, 2025
This study evaluates and compares the predictive performance of 4 widely used fall risk assessment tools—Morse Fall Scale (MFS), St. Thomas's Risk Assessment Tool in Falling Elderly Inpatients (STRATIFY), Hendrich II Fall Risk Model (Hendrich II), and Timed Up and Go Test (TUGT)—in Chinese nursing hom...
JAMDA
December 15, 2015
Identifying patients at risk for delirium allows prompt application of prevention, diagnostic, and treatment strategies; but is rarely done. Once delirium develops, patients are more likely to need posthospitalization skilled care. This study developed an a priori electronic prediction rule using independe...
JAMDA
October 24, 2025
Sarcopenia, characterized by progressive loss of skeletal muscle mass and function, poses a significant risk to the aging population. This study aimed to validate the efficacy of phase angle (PhA) derived from bioelectrical impedance analysis (BIA) as a screening tool for sarcopenia in community-dwelling m...
JAMDA
May 30, 2023
Before being used in clinical practice, a prediction model should be tested in patients whose data were not used in model development. Previously, we developed the ADICE_IT models for predicting any fall and recurrent falls, referred as Any_fall and Recur_fall. In this study, we externally validated the mo...