Gait speed and risk assessment for falls among men aged 80 years and older: A prospective cohort study in Taiwan

Liang, Chih‐Kuang; Chou, Ming Yueh; Peng, Li Ning; Liao, Mei-Chen; Chu, Che‐Sheng; Lin, Ya-Hui; Chen, Liang Kung

doi:10.1016/j.eurger.2014.06.034

Cited by 18 publications

(11 citation statements)

References 30 publications

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“…The extremes of these ranges do not depend on the specific functional test because they follow from assigning the whole part of the population undergoing gait and balance assessment (12.4%) to either the abnormality or non-abnormality branch of the flowchart. Tables S3 and S4 in the Supplementary material provide numerical results on particular cut-offs and for both single fallers and multiple fallers: TUG with cut-offs at 12, 13.5, and 15 s [16], SPPB with cut-offs at 9 and 11 [13], and gait speed with cut-offs at 0.8 and 1 m/s [17]. For these cut-offs the sensitivity with respect to at least one fall ranges from 35.1 to 43.3%, whereas the specificity from 79.0 to 84.3%.…”

Section: Resultsmentioning

confidence: 99%

Simulating the effects of a clinical guidelines screening algorithm for fall risk in community dwelling older adults

Palumbo

Becker

Bandinelli³

et al. 2018

Aging Clin Exp Res

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Background The current guidelines for fall prevention in community-dwelling older adults issued by the American Geriatrics Society and British Geriatrics Society (AGS/BGS) indicate an algorithm for identifying who is at increased risk of falling. The predictive accuracy of this algorithm has never been assessed, nor have the consequences that its introduction in clinical practice would bring about. Aims To evaluate this risk screening algorithm, estimating its predictive accuracy and its potential impact. Methods The analyses are based on 438 community-dwelling older adults, participating in the InCHIANTI study. We analysed different tests for gait and balance assessment. We compared the AGS/BGS algorithm with alternative strategies for fall prevention not based on fall risk evaluation. Results The AGS/BGS screening algorithm (using TUG, cut-off 13.5 s) has a sensitivity for single falls of 35.8% (95% confidence interval 23.2%–52.7%) and a specificity of 84.0% (79.3%–88.4%). It marks 18.0% (13.7%–22.4%) of the older population as at high risk. A policy of targeting people with preventive intervention regardless of their individual risk could be as effective as the policy based on risk screening but at the price of intervening on 17.3% (4.1%–34.0%) more people of the older population. Discussion This study is the first that validates and estimates the impact of the screening algorithm of these guidelines. Main limitations are related to some modelling assumptions. Conclusions The AGS/BGS screening algorithm has low sensitivity. Nevertheless, its adoption would bring benefits with respect to policies of preventive interventions that act regardless of individual risk assessment. Electronic supplementary material The online version of this article (10.1007/s40520-018-1051-5) contains supplementary material, which is available to authorized users.

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Section: Resultsmentioning

confidence: 99%

Simulating the effects of a clinical guidelines screening algorithm for fall risk in community dwelling older adults

Palumbo

Becker

Bandinelli³

et al. 2018

Aging Clin Exp Res

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“…Gait speed at an individual’s usual pace has become the “sixth vital sign” or a “functional vital signs,” 44 and it has been identified as a risk factor for disability, cognitive impairment, and falls 20 , 45 . Previous studies have identified that slow gait speed is associated with greater hearing loss and poorer objective physical functioning among older adults 46 , 47 .…”

Section: Discussionmentioning

confidence: 99%

Gait Speed rather than Dynapenia Is a Simple Indicator for Complex Care Needs: A Cross-sectional Study Using Minimum Data Set

Huang

Liang

Shen

et al. 2017

Sci Rep

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The impact of dynapenia on the complexity of care for residents of long-term care facilities (LTCF) remains unclear. The present study evaluated associations between dynapenia, care problems and care complexity in 504 residents of Veterans Care Homes (VCHs) in Taiwan. Subjects with dynapenia, defined as low muscle strength (handgrip strength <26 kg), were older adults with lower body mass index (BMI), slow gait speed, and higher numbers of Resident Assessment Protocol (RAP) triggers. After adjusting for age, education, BMI, and Charlson’s comorbidity index (CCI), only age, education, BMI and gait speed were independently associated with higher numbers of RAP triggers, but not dynapenia or handgrip strength (kg). Dividing subjects into groups based on quartiles of gait speed, those with gait speed ≤0.803 m/s were significantly associated with higher complexity of care needs (defined as ≥4 RAP triggers) compared to the reference group (gait speed >1 m/s). Significantly slow gait speed was associated with RAP triggers, including cognitive loss, poor communication ability, rehabilitation needs, urinary incontinence, depressed mood, falls, pressure ulcers, and use of psychotropic drugs. In conclusion, slow gait speed rather than dynapenia is a simple indicator for higher complexity of care needs of older male LTCF residents.

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“…We also evaluated the results of the 4 m walking speed test and determined its association with a history and risk of falls. This test is simple and feasible to use in primary care settings (Ministry of Health Social Services and Equality, 2014) and the scientific evidence suggest that a lower walking speed could increase the risk of falls (Huijben et al, 2018; Liang et al, 2014). The 4 m walking speed test indicated how long it took for a person to cover that distance walking at a normal, comfortable speed.…”

Section: Methodsmentioning

confidence: 99%

“…Falls are more frequent in women, and the risk of falling has been related to many factors, such as older age, a history of previous falls, fear of falling and gait, and balance impairment (Dokuzlar et al, 2020; Kim et al, 2017; Liang et al, 2014; Tinetti & Kumar, 2010; Veronese et al, 2014). In many cases, falls are caused by a loss of dynamic balance while walking or by a person's inability to maintain their body's center of gravity when they are standing still (Veronese et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Prevalence of falls in noninstitutionalized people aged 65−80 and associations with sex and functional tests: A multicenter observational study

Blanco-Blanco

Albornos-Muñoz

Costa-Menen

et al. 2022

Research in Nursing & Health

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Falls have a considerable impact on the functional prognosis of older adults. The main focus of this multicenter, retrospective, observational study was to examine the prevalence of falls in Spanish people aged 65−80 years still living at home. The secondary aims included examining the overall sociodemographic and clinical variables associated with a history of falls and then stratifying these findings by sex.We also aimed to determine the differences between sexes with regard to the history and consequences of falls and to evaluate associations between fall history and functional performance tests. The 747 older adults had all participated in the otago exercise program, which is a progressive home program of strength, balance, and endurance exercises. They were recruited by nurses in 21 primary care centers in 10 Spanish provinces between September 2017 to December 2018. The participants' mean age was 72.2 (SD: 4.3) years, and 67% were women. We recorded sociodemographic and clinical variables, functional performance test results, and any falls and/or injuries in the last 12 months. We found that 32% had fallen, 36% of those had fallen more than once, and 48% had sustained injuries when they fell. The bivariate analysis showed that women had more than twice the odds of falling than

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Gait speed and risk assessment for falls among men aged 80 years and older: A prospective cohort study in Taiwan

Cited by 18 publications

References 30 publications

Simulating the effects of a clinical guidelines screening algorithm for fall risk in community dwelling older adults

Simulating the effects of a clinical guidelines screening algorithm for fall risk in community dwelling older adults

Gait Speed rather than Dynapenia Is a Simple Indicator for Complex Care Needs: A Cross-sectional Study Using Minimum Data Set

Prevalence of falls in noninstitutionalized people aged 65−80 and associations with sex and functional tests: A multicenter observational study

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