A home-based exercise program focused on proprioception to reduce falls in frail and pre-frail community-dwelling older adults

2020 ◽  
Vol 41 (4) ◽  
pp. 436-444
Author(s):  
Pilar Pérez-Ros ◽  
Rafael Vila-Candel ◽  
Francisco Miguel Martínez-Arnau
2017 ◽  
Vol 59 (2) ◽  
pp. 565-574 ◽  
Author(s):  
Kalpana P. Padala ◽  
Prasad R. Padala ◽  
Shelly Y. Lensing ◽  
Richard A. Dennis ◽  
Melinda M. Bopp ◽  
...  

2020 ◽  
Author(s):  
Robin M Daly ◽  
Jenny Gianoudis ◽  
Travis Hall ◽  
Niamh Mundell ◽  
Ralph Maddison

BACKGROUND Many older adults choose and prefer to exercise at home, but to attain the greatest benefits the correct type and dose should be prescribed and adherence maintained. Advances in digital health technologies now provide the opportunity for exercise professionals to deliver and monitor personalized, evidence-based exercise programs to anyone at anytime. OBJECTIVE To evaluate the feasibility, usability and enjoyment of an online exercise prescription application as a platform for exercise professionals to remotely deliver and monitor an individually-tailored, home-based multi-component exercise program (delivered through tablet computers) to older adults living independently in the community. METHODS This was an 8-week, prospective single-arm pilot study in 20 adults aged ≥65 years living independently in the community [10 who owned a tablet computer (tablet owners) and 10 who did not (tablet non-owners)]. All participants were prescribed a home-based, muscle strengthening, weight-bearing impact and challenging balance/mobility program (3 days/week) using a commercial exercise prescription application (app) on a tablet computer. Study endpoints were feasibility (retention, adherence, adverse events), usability (System Usability Scale), physical activity enjoyment (Physical Activity Enjoyment Scale), changes in lower extremity function [Short Physical Performance Battery (SPPB)], and level of physical activity (questionnaire). Process measures related to participants’ experiences and perceptions of the exercise program and online application were also included. RESULTS A total of 19 participants (mean age 70 years) completed the study (19 of 20, 95%) and mean adherence to the exercise program was 84% (95% CI, 70, 97). There were two minor adverse events in two participants from 401 completed sessions. Mean weekly walking time increased by 78 minutes [(95% CI, 0, 156), P=.049] and moderate-vigorous physical activity time by 41 minutes [(95% CI, -8, 90), P=.09]. For SPPB scores, there was a 0.3 point [(95% CI, -0.1, 0.7), P=.17] modest sized (effect size, d=0.42) improvement after 8 weeks. Mean system usability was high (mean  SD, 86  10 with 100 best imaginable]. There was no change in overall physical activity enjoyment scores after 8 weeks, but participants reported that they enjoyed using the online exercise app and the exercise program (median score 4 on a 5-point Likert scale). For all measures, there were no differences between previous tablet owners and non-owners. CONCLUSIONS This pilot feasibility study indicates that it is safe and feasible for community-dwelling older adults to participate in a home-based, multi-component exercise program targeting musculoskeletal health and function that was delivered and monitored remotely by exercise professionals using a tablet-based exercise prescription app.


Author(s):  
J. Blackwood ◽  
T. Houston

Background: In older adults declines in gait speed have been identified as predictors of functional decline and have been found in those with cognitive dysfunction. Cognitive training interventions that emphasize addressing executive function (EF) have resulted in a transfer effect from training cognitive processes into improved function. However research examining the effects of an EF specific computerized cognitive training (CCT) program on gait speed (GS) is limited. Objectives: To compare the effects of a six week EF specific CCT program on GS in community dwelling older adults using a pretest/posttest experimental design with subgroup comparisons based on a cutoff GS of 1.0m/s. Setting: Home based Participants: Forty independent living older adults (>65 years) without diagnosed cognitive impairment participated in either the intervention or control groups. Intervention: A six week long progressively challenging EF focused CCT program was performed at home. Measurements: Demographic variables, cognitive function (Trail-Making Test Part B) and GS were measured at baseline at week 7. Between group comparisons were completed for the whole sample initially with subgroup comparisons performed based on participants’ initial GS (Slow walkers: GS<1.0m/s; Fast Walkers: GS>1.0m/s). Results: No differences in GS were found for the whole population, but subgroup analyses restricted to slow walkers demonstrated a statistically significant improvement in GS after 6 weeks of CCT (µ =0.33 m/s, p = 0.03). Other outcomes measures were not statistically different at posttest. Conclusions: Older adults who walk at speeds <1.0m/s may benefit from a progressively challenging CCT program when self-administered in the home.


Author(s):  
Heesook Son ◽  
Hyerang Kim

Technology enables home-based personalized care through continuous, automated, real-time monitoring of a participant’s health condition and remote communication between health care providers and participants. Technology has been implemented in a variety of nursing practices. However, little is known about the use of home mobility monitoring systems in visiting nursing practice. Therefore, the current study tested the feasibility of a home mobility monitoring system as a supportive tool for monitoring daily activities in community-dwelling older adults. Daily mobility data were collected for 15 months via home-based mobility monitoring sensors among eight older adults living alone. Indoor sensor outputs were categorized into sleeping, indoor activities, and going out. Atypical patterns were identified with reference to baseline activity. Daily indoor activities were clearly differentiated by sensor outputs and sensor outputs discriminated atypical activity patterns. During the year of monitoring, a health-related issue was identified in a participant. Our findings indicate the feasibility of a home mobility monitoring system for remote, continuous, and automated assessment of a participant’s health-related mobility patterns. Such a system could be used as a supportive tool to detect and intervene in the case of problematic health issues.


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