About this trial
The aging population and its accompanying burden from non-communicable chronic diseases predicts an increasing impact imposed by frailty on healthcare systems. This is due to a lack of normative data for older adults and reliable risk stratification methods to develop effective approaches to the prevention of frailty.
In this study, the investigators plan to form a common dataset for phenotype identification, risk stratification of frailty and its targeted treatment plans in the at-risk and mildly frail population.
Eligibility criteria
This trial does not accept healthy volunteersQualifiers
Age ≥ 50y
Asian ethnicity
First diagnosis (stroke, Traumatic Brain Injury (TBI), knee osteoarthritis, breast cancer)
Living in community
Disqualifiers
Nursing home or dormitory resident
Non-resident status in Singapore (e.g. foreign worker, tourist, temporary visit pass)
Impairments affecting understanding of questionnaires and tasks: e.g. severe deafness, severe visual impairment and severe /global aphasia,
Presence of active fractures, dislocations, non-weight bearing status, burns, unhealed wounds, active skin infections/eczema and agitated behaviour or delirium
Trial population
Patients in both outpatient and inpatient clinics
Trial design
Cohort
Prospective
Treatments tested in this trial
Not listed
Trial groups
Trial outcomes
Primary outcomes
Incidence (rates) of Frailty
Based off different outcomes determined in the study
Severity of Frailty
Based on CFS - 9-point clinical assessment tool evaluating an individual's frailty status; maximum score: 9; higher score indicates increased frailty.
Secondary outcomes
Body Composition Analysis (BCA)
Measured using weak electrical current passed from feet to estimate proportion of muscle, fat and water mass.
Short Physical Performance Battery (SPPB)
Measures 3 components: (1) 5 times chair stand test; (2) Balance test; (3) Gait speed (4m walk test). Score from 0-12 with higher score indicating greater functional capacity.
Hand Grip Strength (kg)
Measured seated with arms on a table bent to 90° using a dynamometer (mean of 3 readings will be recorded)
Muscle Ultrasound imaging
Determines state of muscle health of arm, thigh and jaw muscles through size, area and structural properties.
Sponsors and contacts
Click on the lead sponsor to view all of their trials.
Tan Tock Seng Hospital
Lead sponsor
Rehabilitation Research Institute of Singapore (RRIS)
Collaborator
Woodlands Health (WH)
Collaborator