scholarly journals Effectiveness of a Modified Lifestyle-Integrated Functional Exercise Program in Residential Retirement Communities—A Pilot Study

2018 ◽  
Vol 4 ◽  
pp. 237796081879303 ◽  
Author(s):  
Kitsum Li ◽  
Kayla Comer ◽  
Tiffany Huang ◽  
Kelly Schmidt ◽  
Matthew Tong
Keyword(s):  
Older Adults ◽  
Fall Risk ◽  
Exercise Program ◽  
Community Dwelling ◽  
Retirement Communities ◽  
Lower Body ◽  
Body Strength ◽  
Functional Exercise ◽  
Lower Body Strength ◽  
Community Dwelling Older Adults

Abstract Aims This study explored the effectiveness of a modified Lifestyle-integrated Functional Exercise program for increasing community-dwelling older adults’ lower body strength and balance to decrease fall risk. Methods Purposive sampling of men and women aged 65 years and older, with or without a history of falls, living at retirement communities yielded 19 older adult participants, and 16 of the participants completed the 26-week integrated exercise program. The program consisted of five-group training sessions focused on how to integrate individualized exercises into everyday activities, followed by 20 weeks of independent practice with a booster session at Week 10 and two phone calls at Week 15 and Week 20. A battery of assessments was used 3 times to measure the participants. Results Results demonstrated a significant improvement in lower body strength and balance, but fall risk reduction cannot be confirmed from this study. Conclusion Despite reduction in fall risk was inconclusive from this study, a modified Lifestyle-integrated Functional Exercise program delivered to community-dwelling older adults in a group format may be an effective intervention program to improve lower body strength and balance, while integration of exercises into daily activities may also appear to be more sustainable than traditional exercise program.

scholarly journals Feasibility of a Remotely Delivered Strength and Balance Training Program for Older Adults with Cancer

2021 ◽  
Vol 28 (6) ◽  
pp. 4408-4419
Author(s):  
Schroder Sattar ◽  
Kristen Haase ◽  
Kelly Penz ◽  
Corrie Effa ◽  
Joni Nedeljak ◽  
...  
Keyword(s):  
Older Adults ◽  
Balance Training ◽  
Exercise Program ◽  
Treatment Resistance ◽  
Lower Body ◽  
Post Intervention ◽  
Body Strength ◽  
Significant Difference ◽  
Falls In Older Adults ◽  
Lower Body Strength

Falls are a major issue among older adults with cancer and lead to interruptions in cancer treatment. Resistance and balance training can prevent falls in older adults, but minimal evidence is available regarding the older cancer population, who often have unique risk factors. We used a pre–post design to assess the feasibility of a remotely delivered exercise program that progressed in difficulty and its efficacy on lower body strength, balance, and falls in older adults with cancer who had prior in-person exercise experience. Twenty-six older adults with cancer completed the intervention. Attendance rate for the virtual component was 97.6% and for the independent component was 84.7%. Participants perceived the program as rewarding and enjoyable (100%), felt this program prepared them to exercise on their own (92%), were confident to continue exercising on their own (81%), and would recommend the program to other patients (100%). The median balance score at baseline and end-of-study was 4 (IQR = 0). The median chair-stand time decreased from 9.2 s (IQR = 3.13) to 7.7 s (IQR = 4.6). A statistically significant difference in lower body strength (r = 0.68, p = 0.001) was detected post-intervention. The findings from this study can inform the design of a larger randomized trial.

Feasibility of a virtual hybrid exercise program for older adults with cancer and its effects on lower body strength and balance

2021 ◽  
Vol 12 (8) ◽  
pp. S25
Author(s):  
S. Sattar ◽  
S. Alibhai ◽  
K. Haase ◽  
C. Effa ◽  
J. Nedeljak ◽  
...  
Keyword(s):  
Older Adults ◽  
Exercise Program ◽  
Lower Body ◽  
Body Strength ◽  
Lower Body Strength

scholarly journals Multisensory integration involved in the body perception of community-dwelling older adults

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Hide ◽  
Y. Ito ◽  
N. Kuroda ◽  
M. Kanda ◽  
W. Teramoto
Keyword(s):  
Older Adults ◽  
Multisensory Integration ◽  
Fall Risk ◽  
Community Dwelling ◽  
The Body ◽  
Risk Of Falling ◽  
Body Perception ◽  
Rubber Hand ◽  
Timed Up And Go ◽  
Community Dwelling Older Adults

AbstractThis study investigates how the multisensory integration in body perception changes with increasing age, and whether it is associated with older adults’ risk of falling. For this, the rubber hand illusion (RHI) and rubber foot illusion (RFI) were used. Twenty-eight community-dwelling older adults and 25 university students were recruited. They viewed a rubber hand or foot that was stimulated in synchrony or asynchrony with their own hidden hand or foot. The illusion was assessed by using a questionnaire, and measuring the proprioceptive drift and latency. The Timed Up and Go Test was used to classify the older adults into lower and higher fall-risk groups. No difference was observed in the RHI between the younger and older adults. However, several differences were observed in the RFI. Specifically, the older adults with a lower fall-risk hardly experienced the illusion, whereas those with a higher fall-risk experienced it with a shorter latency and no weaker than the younger adults. These results suggest that in older adults, the mechanism of multisensory integration for constructing body perception can change depending on the stimulated body parts, and that the risk of falling is associated with multisensory integration.

scholarly journals Fall Risk Classification in Community-Dwelling Older Adults Using a Smart Wrist-Worn Device and the Resident Assessment Instrument-Home Care: Prospective Observational Study (Preprint)

2018 ◽  
Author(s):  
Yang Yang ◽  
John P Hirdes ◽  
Joel A Dubin ◽  
Joon Lee
Keyword(s):  
Older Adults ◽  
Fall Risk ◽  
Prospective Observational Study ◽  
Risk Classification ◽  
Community Dwelling ◽  
Assessment Instrument ◽  
Classification Models ◽  
Resident Assessment ◽  
Community Dwelling Older Adults ◽  
Resident Assessment Instrument

BACKGROUND  Little is known about whether off-the-shelf wearable sensor data can contribute to fall risk classification or complement clinical assessment tools such as the Resident Assessment Instrument-Home Care (RAI-HC). OBJECTIVE  This study aimed to (1) investigate the similarities and differences in physical activity (PA), heart rate, and night sleep in a sample of community-dwelling older adults with varying fall histories using a smart wrist-worn device and (2) create and evaluate fall risk classification models based on (i) wearable data, (ii) the RAI-HC, and (iii) the combination of wearable and RAI-HC data. METHODS  A prospective, observational study was conducted among 3 faller groups (G0, G1, G2+) based on the number of previous falls (0, 1, ≥2 falls) in a sample of older community-dwelling adults. Each participant was requested to wear a smart wristband for 7 consecutive days while carrying out day-to-day activities in their normal lives. The wearable and RAI-HC assessment data were analyzed and utilized to create fall risk classification models, with 3 supervised machine learning algorithms: logistic regression, decision tree, and random forest (RF). RESULTS  Of 40 participants aged 65 to 93 years, 16 (40%) had no previous falls, whereas 8 (20%) and 16 (40%) had experienced 1 and multiple (≥2) falls, respectively. Level of PA as measured by average daily steps was significantly different between groups (P=.04). In the 3 faller group classification, RF achieved the best accuracy of 83.8% using both wearable and RAI-HC data, which is 13.5% higher than that of using the RAI-HC data only and 18.9% higher than that of using wearable data exclusively. In discriminating between {G0+G1} and G2+, RF achieved the best area under the receiver operating characteristic curve of 0.894 (overall accuracy of 89.2%) based on wearable and RAI-HC data. Discrimination between G0 and {G1+G2+} did not result in better classification performance than that between {G0+G1} and G2+. CONCLUSIONS  Both wearable data and the RAI-HC assessment can contribute to fall risk classification. All the classification models revealed that RAI-HC outperforms wearable data, and the best performance was achieved with the combination of 2 datasets. Future studies in fall risk assessment should consider using wearable technologies to supplement resident assessment instruments.

Threshold of lower body muscular strength necessary to perform ADL independently in community-dwelling older adults

2008 ◽  
Vol 22 (10-11) ◽  
pp. 902-910 ◽  
Author(s):  
Ryuichi Hasegawa ◽  
Mohammod M Islam ◽  
Sung Chul Lee ◽  
Daisuke Koizumi ◽  
Michael E Rogers ◽  
...  
Keyword(s):  
Older Adults ◽  
Muscular Strength ◽  
Community Dwelling ◽  
Lower Body ◽  
Community Dwelling Older Adults

Single-Session Evidence-Based Intervention and Fall Risk Awareness in Community-Dwelling Older Adults

2021 ◽  
Vol 37 (3) ◽  
pp. 198-206
Author(s):  
Brenda S. Howard ◽  
Fiona Brown Jones ◽  
Aundrea Sellers Steenblock ◽  
Kiersten Ham Butler ◽  
Ellen Thomas Laub ◽  
...  
Keyword(s):  
Older Adults ◽  
Fall Risk ◽  
Community Dwelling ◽  
Evidence Based ◽  
Risk Awareness ◽  
Single Session ◽  
Community Dwelling Older Adults
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