scholarly journals A Prediction Model for Falls in Community-Dwelling Older Adults in Podiatry Practices

Gerontology ◽  
2022 ◽  
pp. 1-10
Author(s):  
Danique J.J. van Gulick ◽  
Sander I.B. Perry ◽  
Marike van der Leeden ◽  
Jolan G.M. van Beek ◽  
Cees Lucas ◽  
...  

<b><i>Introduction:</i></b> Falls are a worldwide health problem among community-dwelling older adults. Emerging evidence suggests that foot problems increase the risk of falling, so the podiatrist may be crucial in detecting foot-related fall risk. However, there is no screening tool available which can be used in podiatry practice. The predictive value of existing tools is limited, and the implementation is poor. The development of risk models for specific clinical populations might increase the prediction accuracy and implementation. Therefore, the aim of this study was to develop and internally validate an easily applicable clinical prediction model (CPM) that can be used in podiatry practice to predict falls in community-dwelling older adults with foot (-related) problems. <b><i>Methods:</i></b> This was a prospective study including community-dwelling older adults (≥65 years) visiting podiatry practices. General fall-risk variables, and foot-related and function-related variables were considered as predictors for the occurrence of falls during the 12-month follow-up. Logistic regression analysis was used for model building, and internal validation was done by bootstrap resampling. <b><i>Results:</i></b> 407 participants were analyzed; the event rate was 33.4%. The final model included fall history in the previous year, unsteady while standing and walking, plantarflexor strength of the lesser toes, and gait speed. The area under the receiver operating characteristic curve was 0.71 (95% CI: 0.66–0.76) in the sample and estimated as 0.65 after shrinkage. <b><i>Conclusion:</i></b> A CPM based on fall history in the previous year, feeling unsteady while standing and walking, decreased plantarflexor strength of the lesser toes, and reduced gait speed has acceptable accuracy to predict falls in our sample of podiatry community-dwelling older adults and is easily applicable in this setting. The accuracy of the model in clinical practice should be demonstrated through external validation of the model in a next study.

2015 ◽  
Vol 23 (3) ◽  
pp. 438-443 ◽  
Author(s):  
Kim T.J. Bongers ◽  
Yvonne Schoon ◽  
Maartje J. Graauwmans ◽  
Marlies E. Hoogsteen-Ossewaarde ◽  
Marcel G.M. Olde Rikkert

Self-management of mobility and fall risk might be possible if older adults could use a simple and safe self-test to measure their own mobility, balance, and fall risk at home. The aim of this study was to determine the safety, feasibility, and intraindividual reliability of the maximal step length (MSL), gait speed (GS), and chair test (CT) as potential self-tests for assessing mobility and fall risk. Fifty-six community-dwelling older adults performed MSL, GS, and CT at home once a week during a four-week period, wherein the feasibility, test-retest reliability, coefficients of variation, and linear mixed models with random effects of these three self-tests were determined. Forty-nine subjects (mean age 76.1 years [SD: 4.0], 19 females [42%]) completed the study without adverse effects. Compared with the other self-tests, MSL gave the most often (77.6%) valid measurement results and had the best intraclass correlation coefficients (0.95 [95% confidence interval: 0.91−0.97]). MSL and GS gave no significant training effect, whereas CT did show a significant training effect (p < .01). Community-dwelling older adults can perform MSL safely, correctly, and reliably, and GS safely and reliably. Further research is needed to study the responsiveness and beneficial effects of these self-tests on self-management of mobility and fall risk.


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.


2018 ◽  
Vol 24 (1) ◽  
pp. e1743 ◽  
Author(s):  
Ingebjørg Lavrantsdatter Kyrdalen ◽  
Pernille Thingstad ◽  
Leiv Sandvik ◽  
Heidi Ormstad

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 264-264
Author(s):  
Manuel Montero Odasso ◽  
Mark Speechley ◽  
Richard Camicioli ◽  
Nellie Kamkar ◽  
Qu Tian ◽  
...  

Abstract BACKGROUND: The concurrent decline in gait speed and cognition are associated with future dementia. However, the clinical profile of those who present with dual-decline has not yet been described. We aimed to describe the phenotype and risk for incident dementia of individuals who present a dual-decline in comparison with non dual-decliners. METHODS: Prospective cohort of community-dwelling older adults free of dementia at baseline. We evaluated participants’ gait speed, cognition, medical status, functionality, incidence of adverse events, and dementia biannually over 7 years. Gait speed was assessed with a 6-meter electronic-walkway, and global cognition was assessed using the MoCA test. We compared characteristics between dual-decliners and non dual-decliners using t-test, Chi-square, and hierarchical regression models. We estimated incident dementia using Cox models. RESULTS: Among 144 participants (mean age 74.23 ± 6.72 years, 54% women), 17% progressed to dementia. Dual-decliners had a three-fold risk (HR: 3.12, 95%CI:1.23-7.93, p=0.017) of progression to dementia compared with non dual-decliners. Dual-decliners were significantly older with a higher prevalence of hypertension and dyslipidemia (p=0.002). Hierarchical regression models show that age and sex alone explained 3% of the variation in the dual-decliners group, while adding hypertension and dyslipidemia increased the explained variation to 8% and 10 %, respectively. The risk of becoming a dual-decliner was 4-fold if hypertension was present. CONCLUSION: Older adults with concurrent decline in gait speed and cognition represent a group at the highest risk of progression to dementia. These dual-decliners have a distinct phenotype with a higher prevalence of hypertension, a potentially treatable condition.


Author(s):  
Ryo Komatsu ◽  
Koutatsu Nagai ◽  
Yoko Hasegawa ◽  
Kazuki Okuda ◽  
Yuto Okinaka ◽  
...  

This cross-sectional study aimed to demonstrate the association between physical frailty subdomains and oral frailty. This study involved community-dwelling older adults (aged ≥65 years). Physical frailty was assessed with the Japanese version of the Cardiovascular Health Study criteria. Oral frailty was defined as limitations in at least three of six domains. Logistic regression analysis was used to analyze the association between physical frailty risk and oral frailty. In addition, we examined the association between physical frailty subdomains (gait speed, grip strength, exhaustion, low physical activity, and weight loss) and oral frailty. A total of 380 participants were recruited for this study. Overall, 18% and 14% of the participants were at risk of physical frailty and had oral frailty, respectively. Physical frailty risk (odds ratio (OR) = 2.40, 95% confidence interval (CI): 1.22–4.75, p = 0.012) was associated with oral frailty in multivariate analysis. In secondary analysis, among physical frailty subdomains, gait speed (OR = 0.85, 95% CI: 0.73–0.97, p = 0.019) was associated with oral frailty. The present findings suggest that physical frailty is closely related to oral frailty. Among physical frailty subdomains, decreased gait speed in particular is an important indicator related to the development of oral frailty.


Author(s):  
Grainne Vavasour ◽  
Oonagh M. Giggins ◽  
Julie Doyle ◽  
Daniel Kelly

Abstract Background Globally the population of older adults is increasing. It is estimated that by 2050 the number of adults over the age of 60 will represent over 21% of the world’s population. Frailty is a clinical condition associated with ageing resulting in an increase in adverse outcomes. It is considered the greatest challenge facing an ageing population affecting an estimated 16% of community-dwelling populations worldwide. Aim The aim of this systematic review is to explore how wearable sensors have been used to assess frailty in older adults. Method Electronic databases Medline, Science Direct, Scopus, and CINAHL were systematically searched March 2020 and November 2020. A search constraint of articles published in English, between January 2010 and November 2020 was applied. Papers included were primary observational studies involving; older adults aged > 60 years, used a wearable sensor to provide quantitative measurements of physical activity (PA) or mobility and a measure of frailty. Studies were excluded if they used non-wearable sensors for outcome measurement or outlined an algorithm or application development exclusively. The methodological quality of the selected studies was assessed using the Appraisal Tool for Cross-sectional Studies (AXIS). Results Twenty-nine studies examining the use of wearable sensors to assess and discriminate between stages of frailty in older adults were included. Thirteen different body-worn sensors were used in eight different body-locations. Participants were community-dwelling older adults. Studies were performed in home, laboratory or hospital settings. Postural transitions, number of steps, percentage of time in PA and intensity of PA together were the most frequently measured parameters followed closely by gait speed. All but one study demonstrated an association between PA and level of frailty. All reports of gait speed indicate correlation with frailty. Conclusions Wearable sensors have been successfully used to evaluate frailty in older adults. Further research is needed to identify a feasible, user-friendly device and body-location that can be used to identify signs of pre-frailty in community-dwelling older adults. This would facilitate early identification and targeted intervention to reduce the burden of frailty in an ageing population.


2014 ◽  
Vol 70 (11) ◽  
pp. 1394-1399 ◽  
Author(s):  
Daniel J. Tyrrell ◽  
Manish S. Bharadwaj ◽  
Cynthia G. Van Horn ◽  
Stephen B. Kritchevsky ◽  
Barbara J. Nicklas ◽  
...  

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.


Author(s):  
J. Blackwood ◽  
T. Houston

Background: In older adults declines in gait speed have been identified as predictors of functional decline and have been found in those with cognitive dysfunction. Cognitive training interventions that emphasize addressing executive function (EF) have resulted in a transfer effect from training cognitive processes into improved function. However research examining the effects of an EF specific computerized cognitive training (CCT) program on gait speed (GS) is limited. Objectives: To compare the effects of a six week EF specific CCT program on GS in community dwelling older adults using a pretest/posttest experimental design with subgroup comparisons based on a cutoff GS of 1.0m/s. Setting: Home based Participants: Forty independent living older adults (>65 years) without diagnosed cognitive impairment participated in either the intervention or control groups. Intervention: A six week long progressively challenging EF focused CCT program was performed at home. Measurements: Demographic variables, cognitive function (Trail-Making Test Part B) and GS were measured at baseline at week 7. Between group comparisons were completed for the whole sample initially with subgroup comparisons performed based on participants’ initial GS (Slow walkers: GS<1.0m/s; Fast Walkers: GS>1.0m/s). Results: No differences in GS were found for the whole population, but subgroup analyses restricted to slow walkers demonstrated a statistically significant improvement in GS after 6 weeks of CCT (µ =0.33 m/s, p = 0.03). Other outcomes measures were not statistically different at posttest. Conclusions: Older adults who walk at speeds <1.0m/s may benefit from a progressively challenging CCT program when self-administered in the home.


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