scholarly journals Balance Impairment as a Risk Factor for Falls in Community-Dwelling Older Adults Who Are High Functioning: A Prospective Study

2010 ◽  
Vol 90 (3) ◽  
pp. 338-347 ◽  
Author(s):  
Susan W. Muir ◽  
Katherine Berg ◽  
Bert Chesworth ◽  
Neil Klar ◽  
Mark Speechley

BackgroundScreening should have simple and easy-to-administer methods that identify impairments associated with future fall risk, but there is a lack of literature supporting validation for their use.ObjectiveThe aim of this study was to evaluate the independent contribution of balance assessment on future fall risk, using 5 methods to quantify balance impairment, for the outcomes “any fall” and “any injurious fall” in community-dwelling older adults who are higher functioning.DesignThis was a prospective cohort study.MethodsA sample of 210 community-dwelling older adults (70% male, 30% female; mean age=79.9 years, SD=4.7) received a comprehensive geriatric assessment at baseline, which included the Berg Balance Scale to measure balance. Information on daily falls was collected for 12 months by each participant's monthly submission of a falls log calendar.ResultsSeventy-eight people (43%) fell, of whom 54 (30%) sustained an injurious fall and 32 (18%) had recurrent falls (≥2 falls). Different balance measurement methods identified different numbers of people as impaired. Adjusted relative risk (RR) estimates for an increased risk of any fall were 1.58 (95% confidence interval [CI]=1.06, 2.35) for self-report of balance problems, 1.58 (95% CI=1.03, 2.41) for one-leg stance, and 1.46 (95% CI=1.02, 2.09) for limits of stability. An adjusted RR estimate for an increased risk of an injurious fall of 1.95 (95% CI=1.15, 3.31) was found for self-report of balance problems.LimitationsThe study was a secondary analysis of data.ConclusionsNot all methods of evaluating balance impairment are associated with falls. The number of people identified as having balance impairment varies with the measurement tool; therefore, the measurement tools are not interchangeable or equivalent in defining an at-risk population. The thresholds established in this study indicate individuals who should receive further comprehensive fall assessment and treatment to prevent falls.

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Laura Bárbara Velázquez-Olmedo ◽  
Socorro Aída Borges-Yáñez ◽  
Patricia Andrade Palos ◽  
Carmen García-Peña ◽  
Luis Miguel Gutiérrez-Robledo ◽  
...  

Abstract Background To determine the association between oral health condition and development of frailty over a 12-month period in community-dwelling older adults. Methods Population-based, case-cohort study derived from the Cohort of Obesity, Sarcopenia, and Frailty of Older Mexican Adults (COSFOMA) study, including data from years 2015 and 2016. Using latent class analysis, we determined the oral health condition of older adults with teeth (t0), i.e., functional teeth, presence of coronal caries, root caries, periodontal disease, dental calculus, dental biofilm, root remains, xerostomia, and need for dental prosthesis. Edentulous was considered as a separate class. Criteria of the Frailty Phenotype (t1) by Fried et al. were used: weight loss, self-report of exhaustion, walking speed, decreased muscle strength, and low physical activity. The presence of three or more criteria indicated a frail condition. The strength of the association (odds ratio, OR) between oral health condition and development of frailty was estimated through bivariate analysis. Multiple logistic regression was used to adjust for the other variables of study: sociodemographic data (sex, age, marital status, level of education, paid work activity, and living alone), comorbidities, cognitive impairment, depressive symptoms, nutritional status, and use of oral health services. Results 663 non-frail older adults were evaluated, with a mean age of 68.1 years (SD ± 6.1), of whom 55.7% were women. In t0, a three-class model with an acceptable value was obtained (entropy = 0.796). The study participants were classified as: edentulous persons (6.9%); Class 1 = Acceptable oral health (57.9%); Class 2 = Somewhat acceptable oral health (13.9%); and Class 3 = Poor oral health (21.3%). In t1, 18.0% (n = 97) of participants developed frailty. Using Acceptable oral health (Class 1) as a reference, we observed that older adults with edentulism (OR 4.1, OR adjusted 2.3) and Poor oral health (OR 2.4, OR adjusted 2.2) were at an increased risk of developing frailty compared to those with Acceptable oral health. Conclusion Older adults with edentulism and poor oral health had an increased risk of developing frailty over a 12-month period.


2020 ◽  
Vol 32 (8) ◽  
pp. 1443-1450
Author(s):  
Michael A. Clynes ◽  
Gregorio Bevilacqua ◽  
Karen A. Jameson ◽  
Cyrus Cooper ◽  
Elaine M. Dennison

Abstract Background Multimorbidity has been shown in several studies to relate to impaired physical function in later life. Aims To examine if self-report of multimorbidity predicts impaired physical functioning, as assessed by formal physical function testing, in community-dwelling older adults. Methods Non-communicable diseases (NCDs) were self-reported by 443 older community-dwelling UK adults via questionnaire, asking the question: ‘Have you been told by a doctor that you have any of the following conditions?’ Assessments of walking speed, chair stands and balance allowed us to create a composite score (0–12) on which impaired physical functioning was defined as ≤ 9. Results The mean age of participants was 75.5 ± 2.5 years for men and 75.8 ± 2.6 for women. The proportion of individuals with impaired physical functioning was 71.2% in women and 56.9% in men. Having four or more NCDs was associated with an increased risk of poor physical function in men and women (p < 0.05). The number of medications and medicated systems was associated with gait speed (p < 0.03 and < 0.02, respectively) and timed up-and-go tests (p < 0.03 and < 0.02, respectively) in women but not men. Discussion and conclusion Self-report of 4 or more NCDs was associated with an increased risk of poor physical function, an outcome which has previously been associated with adverse clinical sequelae. This observation may inform development of a simple screening tool to look for poor physical function in older adults.


2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 385-385
Author(s):  
Susy Stark

Abstract The majority of falls experienced by older adults occur in the home with home hazards associated with an increased risk of falling. Low-income older adults, who have more disability and live in substandard housing, need feasible interventions to help them safely age in place. The Home Hazard Removal Program (HARP) is a new home hazard removal and fall risk self-management program delivered in the home by occupational therapists to prevent falls. To evaluate the program, a randomized control trial was conducted with 310 community-dwelling older adults receiving aging services in the community. HARP had high acceptability with older adults and was feasible to deliver in the community. Adjusted for fall risk, individuals in the HARP group fell 1.4 times versus 2.2 times in the control group over 12 months. This low-cost home hazard removal program demonstrated acceptability, feasibility, and a significant reduction in falls for at-risk community-dwelling older adults.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
M. Hide ◽  
Y. Ito ◽  
N. Kuroda ◽  
M. Kanda ◽  
W. Teramoto

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.


2018 ◽  
Author(s):  
Yang Yang ◽  
John P Hirdes ◽  
Joel A Dubin ◽  
Joon Lee

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.


Sign in / Sign up

Export Citation Format

Share Document