A Screening Tool Using Five Risk Factors Was Developed for Fall-Risk Prediction in Chinese Community-Dwelling Elderly Individuals

2018 ◽  
Vol 21 (5) ◽  
pp. 416-422 ◽  
Author(s):  
Li Kang ◽  
Xiaoyu Chen ◽  
Peipei Han ◽  
Yixuan Ma ◽  
Liye Jia ◽  
...  
2018 ◽  
Author(s):  
Anabela Correia Martins ◽  
Juliana Moreira ◽  
Catarina Silva ◽  
Joana Silva ◽  
Cláudia Tonelo ◽  
...  

BACKGROUND Falls are a major health problem among older adults. The risk of falling can be increased by polypharmacy, vision impairment, high blood pressure, environmental home hazards, fear of falling, and changes in the function of musculoskeletal and sensory systems that are associated with aging. Moreover, individuals who experienced previous falls are at higher risk. Nevertheless, falls can be prevented by screening for known risk factors. OBJECTIVE The objective of our study was to develop a multifactorial, instrumented, screening tool for fall risk, according to the key risk factors for falls, among Portuguese community-dwelling adults aged 50 years or over and to prospectively validate a risk prediction model for the risk of falling. METHODS This prospective study, following a convenience sample method, will recruit community-dwelling adults aged 50 years or over, who stand and walk independently with or without walking aids in parish councils, physical therapy clinics, senior’s universities, and other facilities in different regions of continental Portugal. The FallSensing screening tool is a technological solution for fall risk screening that includes software, a pressure platform, and 2 inertial sensors. The screening includes questions about demographic and anthropometric data, health and lifestyle behaviors, a detailed explanation about procedures to accomplish 6 functional tests (grip strength, Timed Up and Go, 30 seconds sit to stand, step test, 4-Stage Balance test “modified,” and 10-meter walking speed), 3 questionnaires concerning environmental home hazards, and an activity and participation profile related to mobility and self-efficacy for exercise. RESULTS The enrollment began in June 2016 and we anticipate study completion by the end of 2018. CONCLUSIONS The FallSensing screening tool is a multifactorial and evidence-based assessment which identifies factors that contribute to fall risk. Establishing a risk prediction model will allow preventive strategies to be implemented, potentially decreasing fall rate. REGISTERED REPORT IDENTIFIER RR1-10.2196/10304


2011 ◽  
Vol 64 (10) ◽  
pp. 1152-1160 ◽  
Author(s):  
Bienvenu Bongue ◽  
Caroline Dupré ◽  
Olivier Beauchet ◽  
Arnaud Rossat ◽  
Bruno Fantino ◽  
...  

2019 ◽  
Vol 19 (10) ◽  
pp. 1386-1394 ◽  
Author(s):  
Agustín Aibar-Almazán ◽  
Antonio Martínez-Amat ◽  
David Cruz-Díaz ◽  
Manuel J. De la Torre-Cruz ◽  
José D. Jiménez-García ◽  
...  

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S471-S471
Author(s):  
Mariana Wingood ◽  
Nancy M Gell ◽  
Emily Tarleton

Abstract Vermont continues to have one of the nation’s highest fall rates and its rurality may be a contributing factor. The purpose of our study was to compare fall history and nutritional risk (a fall risk factor also associated with rurality) in participants from rural and metropolitan areas. We collected data at statewide community-based fall risk screenings. During the events, nutritional data was collected using the DETERMINE Your Nutritional Health Screening Tool Questionnaire. We used descriptive statistics (chi2) to examine the relationship between fall history, nutritional risk, and rurality. From 123 subjects, 67% were classified as rural residents. There was no relationship between fall history and nutritional risk (p=0.6). Compared to rural residents, a significantly higher percentage of those living in metropolitan areas reported falls (54% versus 35% p=0.05). However, metropolitan residents were not at higher nutritional risk (49% versus 54%, p=0.61). National nutritional risk rates are lacking, but food insecurity is associated with nutritional risk. Our overall reported high nutritional risk (20%) is higher than the prevalence of food insecurity, both nationally (11%) and in Vermont (9%). In conclusion, we did not identify a relationship between fall history and nutritional risk. We did find a higher percentage of metropolitan residents reporting falls. Furthermore, we identified that DETERMINE is a feasible nutritional screening tool to use at fall risk screenings. It can be used to identify community-dwelling older adults at nutritional risk, but it may not have the sensitivity to identify an association between nutritional risk and falls.


2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Naoto Kamide ◽  
Yoshitaka Shiba ◽  
Miki Sakamoto ◽  
Haruhiko Sato ◽  
Akie Kawamura

Abstract Background Fall-related efficacy has been found to be associated with both falls and fall risk factors such as physical performance. The aim of the present study was to clarify whether fall-related efficacy is, independent of physical performance and other potential risk factors, associated with future falls in community-dwelling older people. Methods The study participants were 237 Japanese older people aged 65 years and over who were living independently in their community. Fall-related efficacy and physical performance were assessed at baseline using the short version of the Falls Efficacy Scale-International (short FES-I) and 5-m walking time, the Timed Up and Go Test, the 5 Times Sit to Stand Test, and grip strength. Physical performance was then again assessed at 1-year follow-up. The number of falls was obtained every 6 months for 1 year after the baseline survey. Instrumental activities of daily living (IADL), depression, fall history, current medications, medical history, and pain were also investigated as potential confounding factors that have possible associations with falls. The associations between the short FES-I, physical performance, and number of falls were analyzed using Poisson regression analysis adjusted for physical performance and potential confounding factors. Results The mean age of the participants (75.9% women) was 71.1 ± 4.6 years, and 92.8% could perform IADL independently. The total numbers of falls and fallers during the 1-year follow-up period were 70 and 42, respectively. On Poisson regression analysis adjusted for walking time and potential confounding factors, independent of physical performance, the short FES-I was found to be significantly associated with number of falls (relative risk = 1.09, p < 0.05). On the other hand, physical performance was not significantly associated with the number of falls. Conclusions The findings of the present study suggest that the short FES-I, independent of physical performance and other potential risk factors, is a useful index to detect fall risk in community-dwelling older people, and that fall-related efficacy is an important factor in terms of fall prevention.


2013 ◽  
Vol 2 (4) ◽  
pp. 247-252 ◽  
Author(s):  
Hiroki Kayama ◽  
Kazuya Okamoto ◽  
Shu Nishiguchi ◽  
Taiki Yukutake ◽  
Takanori Tanigawa ◽  
...  

2020 ◽  
Author(s):  
Devinder Kaur Ajit Singh ◽  
Jing Wen Goh ◽  
Muhammad Iqbal Shaharudin ◽  
Suzana Shahar

BACKGROUND Recent falls prevention guidelines recommend early routine falls risk assessment among older persons. OBJECTIVE The purpose of current study was to develop a Falls Screening Mobile Application (FallSA©), determine its acceptance, concurrent validity, test-retest reliability, discriminative ability and predictive validity as a self-screening tool to identify falls risk among Malaysian older persons. METHODS FallSA© acceptance was tested among 15 participants (mean age: 65.93±7.42 years); its validity and reliability among 91 participants (mean age: 67.34±5.97); discriminative ability and predictive validity among 610 participants (mean age: 71.78±4.70). Acceptance of FallSA© was assessed using a questionnaire and it was validated against a comprehensive falls risk assessment tool, Physiological Profile Assessments (PPA). Participants used FallSA© to test their falls risk repeatedly twice between an hour. Its discriminative ability and predictive validity were determined by comparing participants fall risk scores between fallers and non-fallers and prospectively through a 6 months follow-up respectively RESULTS The findings of our study showed that FallSA© had a high acceptance level with 80% older persons agreeing on its suitability as a falls self-screening tool. Concurrent validity test demonstrated a significant moderate correlation (rs= 0.518, P<0.001) and agreement (K= 0.516, P<0.001) with acceptable sensitivity (80.4%) and specificity (71.1%). FallSA© also had good reliability (ICC: 0.948, CI: 0.921-0.966) and an internal consistency (α= 0.948, P<0.001). FallSA© score demonstrated a moderate to strong discriminative ability in classifying fallers and non-fallers. FallSA© had a predictive validity of falls with positive likelihood ratio of 2.27, pooled sensitivity of 82% and specificity of 64%, and AUC of 0.802. CONCLUSIONS These results suggest that FallSA© is a valid and reliable fall risk self-screening tool. Further studies are required to empower and engage older persons or care givers in the use of FallSA© to self-screen for falls and thereafter to seek early prevention intervention. CLINICALTRIAL NA


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