Dobsonyu5119

Survivors of childhood cancer (CCS) are at risk for early aging and frailty. Frailty in CCS has been assessed with established clinical criteria, a time-intensive approach requiring specialized training. There is an unmet need for cost-effective, rapid methods for assessing frailty in at-risk adolescent and young adult (AYA) CCS, which are scalable to large populations.

To validate a sensor-based frailty assessment tool in AYA CCS, compare frailty status between CCS and controls, and assess the correlation between frailty and number of CCS comorbidities.

Mean frailty index (MFI) was assessed by a frailty wrist sensor in 32 AYA CCS who were ≥1 year off therapy and in remission. Results were compared with 32 AYA controls without cancer or chronic disease.

Frailty assessments with and without a simultaneous cognitive task were performed to obtain MFI. Results were compared between cases and controls using a Student t test, and the number of pre-frail/frail subjects by Chi Square test. The contribution ofeated with RT. A wrist-worn sensor-based method is feasible for application in AYA CCS, and provides an opportunity for cost-effective, rapid screening of at-risk AYA CCS who may benefit from early interventions.Interactions among physiological pathways associated with osteoporosis and sarcopenia are thought to contribute to the onset of frailty. The International Conference on Frailty and Sarcopenia Research Task Force thus met in March 2020 to explore how emerging interventions to manage fracture and osteoporosis in older adults may reduce frailty, disability, morbidity, and mortality in the older population. Both pharmacological and non-pharmacological interventions (including nutritional intervention, exercise, and other lifestyle changes) were discussed, including nutritional intervention, exercise, and other lifestyle changes. Pharmacological treatments for osteoporosis include bone-forming and antiresorptive agents, which may optimally be used in sequential or combination regimens. Since similar mechanisms related to resorption underlie physiological changes in muscle and bone, these interventions may provide benefits beyond treating osteoporosis. Clinical trials to test these interventions, however, often exclude frail older persons because of comorbidities (such as mobility disability and cognitive impairment) or polypharmacy. The Task Force recommended that future clinical trials use harmonized protocols, including harmonized inclusion criteria and similar outcome measures; and that they test a range of multidomain therapies. They further advocated more high-quality research to develop interventions specifically for people who are frail and old. The ICOPE program recommended by WHO appears to be highly recommended to frail older adults with osteoporosis.

Frailty and cognitive impairment are common manifestations of the ageing process and are closely related. But the mechanisms linking aging, physical frailty, and cognitive disorders, are complex and remain unclear.

We aim to explore the role of cerebral amyloid pathology, but also a range of nutritional, physical, biological or brain-aging marker in the development of cognitive frailty.

COGFRAIL study is a monocentric prospective study of frail older patients with an objective cognitive impairment (Clinical Dementia Rating Scale global score at 0.5 or 1). Three-hundred-and-twenty-one patients are followed up every 6 months, for 2 years. selleck Clinical assessment at baseline and during follow-up included frailty, physical, mood, sensory, nutritional, and cognitive assessment (with a set of neuropsychological tests). Cerebral amyloid pathology is measured by amyloid Positron Emission Tomography (PET) or amyloid-β-1-42 level in cerebrospinal fluid. Brain magnetic resonance imaging, measurement of body compositioharacterize the physical and cognitive trajectories of frail older adults according to their amyloid status. Understanding the relationship between physical frailty and cognitive impairment is a prerequisite for the development of new interventions that could prevent and treat both conditions.Oropharyngeal dysphagia is a widespread condition in older people and thus poses a serious health threat to the residents of nursing homes. The management of dysphagia relies mainly on compensatory strategies, such as diet and environmental modification. This study investigated the efficacy of an intervention program using a single-arm interventional study design. Twenty-two participants from nursing homes were included and had an average of 26 hours of intervention, including oromotor exercises, orosensory stimulation and exercises to target dysphagia and caregiver training. Four of the 22 participants exhibited improvement in functional oral intake scale (FOIS) but was not statistically significant as a group. All oromotor function parameters, including the range, strength, and coordination of movements, significantly improved. These results indicate that this intervention program could potentially improve the oromotor function, which were translated into functional improvements in some participants' recommended diets. The validity of this study could be improved further by using standardized swallowing and feeding assessment methods or an instrumental swallowing assessment.

Using residual values calculated from models regressing appendicular lean mass on fat mass and height is one of several suggested strategies for adjusting appendicular lean mass for body size when measuring sarcopenia. However, special consideration is required when using this technique in different subgroups in order to capture the correct individuals as sarcopenic.

To provide guidance about how to conduct stratified analyses for the regression adjustment technique using age groups as an example.

Cross-sectional study.

Data collected at baseline (2012-2015) for the Canadian Longitudinal Study on Aging.

Community dwelling participants of European descent aged 45 to 85 years (n=25,399).

Appendicular lean mass, height, and weight were measured. Sex-specific residuals were calculated in participants before and after stratifying participants by age group (45-54, 55-64, 65-74, 75-85 years). Cut offs corresponding to the sex-specific 20th percentile residual values in participants ≥65 years were determined first in the residuals calculated in all participants and residuals calculated in only those aged ≥65 years.