scholarly journals Fear of Falling, Fall Risk, Depression, and Anxiety in Community-Dwelling Older Adults

2021 ◽  
Vol 5 (Supplement_1) ◽  
pp. 1042-1043
Author(s):  
Aleatha Rossler ◽  
Ladda Thiamwong ◽  
Rui Xie ◽  
Jeffrey Stout ◽  
Joon-Hyuk Park ◽  
...  

Abstract Fear of falling is common in the older adult population with an estimated 43% being affected. We aimed to examine the associations among fear of falling, fall risk, depression, and anxiety in community-dwelling older adults. For this study 124 participants ranging from 60 to 96 years of age were recruited from the community settings in Central Florida. Fear of falling, fall risk, depression and anxiety were assessed using the Falls Efficacy Scale International (FES-I), the CDCSTEADI fall risk assessment, the Patient Health Questionnaire (PHQ) for depression, and the Geriatric Anxiety Inventory Short form (GAI-SF) for anxiety respectively. Data was collected via the Qualtrics survey. Comparisons were made for those below age 75 and those aged 75 and older, with 51.6% being under 75. Four ethnicity categories were also used: African American (8.1%), Asian (2.4%), Hispanic (14.5%), and non-Hispanic white (75%). All participants scored above 4 on the STEADI scale indicating fall risk. 42 scored positive for fear of falling on the FES-I scale and of that 42, 35.7% had a history of one or more falls in the last year (p < .01). 46.8% of the participants screened positive for depression and 100% of participants were positive for anxiety. Using one-way ANOVA analysis, we found significant relationships between (1) depression (p<.01); (2) STEADI (p<.01) and FES-I.

2019 ◽  
Author(s):  
Allison Anne Bay ◽  
Smrithi Ramachandran ◽  
Hayley A. Silverstein ◽  
Jiayang Song ◽  
Ariel R. Hart ◽  
...  

Abstract Background Falling among older adults is common and can cause chronic health complications. This study investigated differences between White and Black community-dwelling older adults in fall history, fear of falling, and indicators of fall risk.Methods All assessments and analyses were conducted in a clinical laboratory at Emory University in the Department of General Medicine and Geriatrics on 84 diverse community-dwelling older adults (White, n=37; Black, n=47). Statistical analyses included one-way ANOVA for continuous variables, the Fisher exact test for categorical variables, the Mann-Whitney-Wilcoxon test for ordinal variables, and an ordinal logistic regression model to examine which factors predicted fear of falling. Measures included fall history, fear of falling, and fall risk indicators. The Montreal Cognitive Assessment, Activities-Specific Balance Confidence Score, Gait Speed, Short Form 12 Physical Component Score and Mental Component Score, fear of falling and quality of life rating scales and demographics questionnaires were administered.Results Falls history was not significantly different between groups. Black participants had significantly fewer years of education (p=.007), lower MoCA scores (p=0.002), and slower fast gait speed (p=0.032) than White participants. However, Black participants reported significantly less fear of falling (p=0.043). Race (Black/White) (p=<0.001), sex (p=0.028), preferred gait speed (p=0.036), and a dichotomous variable of use of assistive device for walking (p=0.023) were significant predictors of fear of falling in the logistical model.Conclusions These factors may explain the observed differences in fear of falling observed between white and black groups in this study. This work offers an explanation of possible factors related to the well-documented yet poorly understood fact that while Black older adults have more risk factors for falling, White older adults tend to fall more frequently and are more afraid of falling.


2021 ◽  
Author(s):  
K Makino ◽  
S Lee ◽  
S Bae ◽  
I Chiba ◽  
K Harada ◽  
...  

Abstract Objective The present study aimed to examine the prospective associations of physical frailty with future falls and fear of falling (FOF) among community-dwelling older adults. Methods A prospective cohort study with a 48-month follow-up was conducted in a Japanese community. Participants were 2469 community-dwelling older adults aged 65 years or older who completed baseline and follow-up assessments at intervals of 48±2 months. Primary outcomes were recent falls (defined as at least one fall within the past year) and FOF (determined by response to “Are you afraid of falling?”) at follow-up survey. Physical frailty, operationalized by the frailty phenotype (slowness, weakness, exhaustion, weight loss, and low activity) based on the criteria of the Japanese version of the Cardiovascular Health Study (J-CHS), was also assessed as a predictor of future falls and FOF. Results Multivariate logistic regression showed that pre-frailty or frailty increase the risk of not only future falls (OR: 1.57; 95%CI = 1.20-2.05) but also FOF (OR: 1.33; 95%CI = 1.05-1.69). In addition, the relationship between baseline frailty status and future falls remained significant after adjusting for baseline FOF (OR: 1.55; 95%CI = 1.19-2.02), and the relationship between baseline frailty status and future FOF also remained significant after adjusting for baseline falls (OR: 1.32; 95%CI = 1.04-1.68). Conclusions Frailty status may predict future falls and FOF among community-dwelling older adults. Strategies to prevent frailty may be beneficial to prevent not only future falls but also future FOF in a community setting. Impact Falls and FOF have a close relationship but a different clinical meaning. Older adults with physical frailty may require monitoring as high-risk not only for falls but also for FOF.


2017 ◽  
Vol 18 (2) ◽  
pp. 197-210
Author(s):  
Dimitra Savvoulidou ◽  
Efthymia Totikidou ◽  
Chariklia Varvesiotou ◽  
Magda Iakovidou ◽  
Ourania Sfakianaki ◽  
...  

Olfactory impairment in older adults is associated with cognitive decline. This study describes the development of a Brief Odor Detection Test (B-ODT), and its pilot administration in community-dwelling older adults. The study aimed at examining whether the test could differentiate older adults with very mild cognitive impairment from their cognitively healthy counterparts. The sample consisted of 34 older adults (22 women), aged from 65 to 87 years. Participants were divided into two groups according to their general cognitive functioning. Odor detection was measured via vanillin solutions at the following concentrations: 150 mg/L, 30 mg/L, 15 mg/L, 3 mg/L, and .03 mg/L. The first condition of the test involved a scale administration of vanillin solutions. The second condition examined the change in air odour and it required vanillin solution of 30 mg/L and a metric ruler of 30 cm. The examiner had to place the solution at a specific distance point from each nostril. Odour identification sensitivity was secondarily measured. The results showed statistically significant differences in odour detection threshold between the two groups. In the unirhinal testing, left nostril differences of the two groups were definite. Hence, the B-ODT seems a promising instrument for very early cognitive impairment screening in older adult population.


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 ◽  
Author(s):  
Jacqueline Giovanna De Roza ◽  
David Wei Liang Ng ◽  
Blessy Koottappal Mathew ◽  
Teena Jose ◽  
Ling Jia Goh ◽  
...  

Abstract BackgroundFalls in older adults is a common problem worldwide. Fear of falling (FoF) is a consequence of falls which has far-reaching implications including activity restriction, functional decline and reduced quality of life. This study aimed to determine the factors associated with FoF in a segment of Singapore’s community-dwelling older adults. MethodsThis descriptive cross-sectional study recruited a convenience sample of adults aged 65 and above from 4 primary care clinics from September 2020 to March 2021. Data were collected on demographic factors and clinical factors including history of falls and frailty as determined by the Clinical Frailty Scale (CFS). FoF was measured using the Short Falls Efficacy Scale–International (Short FES-I), cut-off score of 14 and above indicated high FoF. Logistic regression was used to determine predictors of high FoF.ResultsOut of 360 older adults, 78.1% were Chinese and 59.7% females. The mean age was 78.3 years and 76 (21.1%) had a history of falls in the past six months. Almost half (43.1%) were mildly to moderately frail and most (80.6%) had three or more chronic conditions. The mean FoF score was 15.5 (SD 5.97) and 60.8% reported high FoF. Logistic regression found that Malay ethnicity (OR = 5.81, 95% CI 1.77 – 19.13), use of walking aids (OR = 3.67, 95% CI = 1.54 – 8.77) and increasing frailty were significant predictors for high FoF. The odds of high FoF were significantly higher in pre frail older adults (OR = 6.87, 95% CI = 2.66 – 17.37), mildly frail older adults (OR =18.58, 95% CI = 4.88 – 70.34) and moderately frail older adults (OR = 144.78, 95% CI = 13.86 – 1512.60).ConclusionsFoF is a prevalent and compelling issue in community-dwelling older adults, particularly those with frailty. The demographic and clinical factors identified in this study will be helpful to develop targeted and tailored interventions for FoF.


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