scholarly journals CHARACTERISTICS OF MALADAPTIVE FALL RISK APPRAISAL AMONG OLDER ADULTS AGES 60 YEARS AND OLDER

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S470-S471
Author(s):  
Ladda Thiamwong ◽  
Boon Peng Ng

Abstract Even though one-third of older adults have maladaptive fall risk appraisal (FRA), no studies has examined this discrepancy between perceived fall risk and physical fall risk among older adults in Thailand. We examined the characteristics of fall risk appraisal (FRA). 433 community-dwelling older adults were randomly selected from two provinces in Southern Thailand. Physical fall risk was assessed by a full tandem stand test and perceived fall risk was assessed by the Fall-Efficacy Scale International. We classified FRA into: 1) Rational FRA means low physical fall risk and low perceived fall risk; 2) Irrational FRA means low physical fall risk but high-perceived fall risk; 3) Congruent FRA means high physical fall risk and high-perceived fall risk; and 4) Incongruent FRA means high physical fall risk but low perceived fall risk. Irrational FRA and Incongruent FRA are a maladaptive FRA. About 60% of the participants had maladaptive FRA, which consisted of irrational FRA (57.3%) and incongruent FRA (2.3%). 20.8% were in rational FRA and 19.6% in congruent FRA. Among those with rational FRA, incongruent FRA, irrational FRA, and congruent FRA, 27.8%, 60%, 41.1%, and 74.1% reported having at least one fall in the past year, respectively. After covariate adjustment, participants in the congruent FRA group were 3.29 times more likely (p=0.006) to fall than those in rational FRA. High proportion of participants had maladaptive FRA so screening individuals with maladaptive FRA and prevent them to transition into the congruent FRA group is important efforts to mitigate health and economic burdens.

BMJ Open ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. e049926
Author(s):  
Sandra Angelika Mümken ◽  
Paul Gellert ◽  
Malte Stollwerck ◽  
Julie Lorraine O'Sullivan ◽  
Joern Kiselev

ObjectivesTo develop a German version of the original University of Alabama at Birmingham Study of Aging Life-Space Assessment (LSA-D) for measurement of community mobility in older adults within the past 4 weeks and to evaluate its construct validity for urban and rural populations of older adults.DesignCross-sectional validation study.SettingTwo study centres in urban and rural German outpatient hospital settings.ParticipantsIn total, N=83 community-dwelling older adults were recruited (n=40 from urban and n=43 from rural areas; mean age was 78.5 years (SD=5.4); 49.4% men).Primary and secondary outcome measuresThe final version of the translated LSA-D was related to limitations in activities and instrumental activities of daily living (ADL/iADL) as primary outcome measure (primary hypothesis); and with sociodemographic factors, functional mobility, self-rated health, balance confidence and history of falls as secondary outcome measures to obtain construct validity. Further descriptive measurements of health included hand grip strength, screening of cognitive function, comorbidities and use of transportation. To assess construct validity, correlations between LSA-D and the primary and secondary outcome measures were examined for the total sample, and urban and rural subsamples using bivariate regression and multiple adjusted regression models. Descriptive analyses of LSA-D included different scoring methods for each region. All parameters were estimated using non-parametric bootstrapping procedure.ResultsIn the multiple adjusted model for the total sample, number of ADL/iADL limitations (β=−0.26; 95% CI=−0.42 to −0.08), Timed Up and Go Test (β=−0.37; 95% CI=−0.68 to −0.14), shared living arrangements (β=0.22; 95% CI=0.01 to 0.44) and history of falls in the past 6 months (β=−0.22; 95% CI=−0.41 to −0.05) showed significant associations with the LSA-D composite score, while living in urban area (β=−0.19; 95% CI=−0.42 to 0.03) and male gender (β=0.15; 95% CI=−0.04 to 0.35) were not significant.ConclusionThe LSA-D is a valid tool for measuring life-space mobility in German community-dwelling older adults within the past 4 weeks in ambulant urban and rural settings.Trial registration numberDRKS00019023.


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.


2021 ◽  
Vol 37 (3) ◽  
pp. 198-206
Author(s):  
Brenda S. Howard ◽  
Fiona Brown Jones ◽  
Aundrea Sellers Steenblock ◽  
Kiersten Ham Butler ◽  
Ellen Thomas Laub ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (3) ◽  
pp. 622 ◽  
Author(s):  
Thomas Gerhardy ◽  
Katharina Gordt ◽  
Carl-Philipp Jansen ◽  
Michael Schwenk

Background: Decreasing performance of the sensory systems’ for balance control, including the visual, somatosensory and vestibular system, is associated with increased fall risk in older adults. A smartphone-based version of the Timed Up-and-Go (mTUG) may allow screening sensory balance impairments through mTUG subphases. The association between mTUG subphases and sensory system performance is examined. Methods: Functional mobility of forty-one community-dwelling older adults (>55 years) was measured using a validated mTUG. Duration of mTUG and its subphases ‘sit-to-walk’, ‘walking’, ‘turning’, ‘turn-to-sit’ and ‘sit-down’ were extracted. Sensory systems’ performance was quantified by validated posturography during standing (30 s) under different conditions. Visual, somatosensory and vestibular control ratios (CR) were calculated from posturography and correlated with mTUG subphases. Results: Vestibular CR correlated with mTUG total time (r = 0.54; p < 0.01), subphases ‘walking’ (r = 0.56; p < 0.01), and ‘turning’ (r = 0.43; p = 0.01). Somatosensory CR correlated with mTUG total time (r = 0.52; p = 0.01), subphases ‘walking’ (r = 0.52; p < 0.01) and ‘turning’ (r = 0.44; p < 0.01). Conclusions: Supporting the proposed approach, results indicate an association between specific mTUG subphases and sensory system performance. mTUG subphases ‘walking’ and ‘turning’ may allow screening for sensory system deterioration. This is a first step towards an objective, detailed and expeditious balance control assessment, however needing validation in a larger study.


2017 ◽  
Vol 1 (suppl_1) ◽  
pp. 1051-1051
Author(s):  
C. Smith ◽  
C. Bula ◽  
H. Krief ◽  
L. Seematter-Bagnoud ◽  
B. Santos-Eggimann

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