Relationship Between Qtc Prolongation And Slow Walking Speed In Older Adults

2015 ◽  
Vol 47 ◽  
pp. 852
Author(s):  
Miji Kim ◽  
Hunkyung Kim ◽  
Hideyo Yoshida ◽  
Takao Suzuki
2020 ◽  
Author(s):  
Olivier Beauchet ◽  
Harmehr Sekhon ◽  
Liam Cooper-Brown ◽  
Cyrille P Launay ◽  
Pierrette Gaudreau ◽  
...  

Abstract Background The co-occurrence of slow walking speed and subjective cognitive complaint (SCC) in non-demented individuals defines motoric cognitive risk syndrome (MCR), which is a pre-dementia stage. There is no information on the association between MCR and incident dementia in Québec’s older population. Objective The study aims to examine the association of MCR and its individual components (i.e. SCC and slow walking speed) with incident dementia in community-dwelling older adults living in the province of Québec (Canada). Design Québec older people population-based observational cohort study with 3 years of follow-up. Setting Community dwellings. Subjects A subset of participants (n = 1,098) in ‘Nutrition as a determinant of successful aging: The Québec longitudinal study’ (NuAge). Methods At baseline, participants with MCR were identified. Incident dementia was measured at annual follow-up visits using the Modified Mini-Mental State (≤79/100) test and Instrumental Activity Daily Living scale (≤6/8) score values. Results The prevalence of MCR was 4.2% at baseline and the overall incidence of dementia was 3.6%. MCR (Hazard Ratio (HR) = 5.18, with 95% confidence interval (CI) = [2.43–11.03] and P ≤ 0.001) and SCC alone (HR = 2.54, with 95% CI = [1.33–4.85] and P = 0.005) were associated with incident dementia, but slow walking speed was not (HR = 0.81, with 95%CI = [0.25–2.63] and P = 0.736). Conclusions MCR and SCC are associated with incident dementia in NuAge study participants.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yen-Huai Lin ◽  
Hsi-Chung Chen ◽  
Nai-Wei Hsu ◽  
Pesus Chou

Abstract Background Walking speed is an important health indicator in older adults, although its measurement can be challenging because of the functional decline due to aging and limited environment. The aim of this study was to examine whether hand grip strength can be a useful proxy for detecting slow walking speed in this population. Methods A cross-sectional study was conducted using the cohort from the Yilan Study in Taiwan. Community-dwelling older adults aged 65 years and older were included. Slow walking speed was defined as a 6-meter walking speed < 1.0 m/s, according to the 2019 Asian Working Group for Sarcopenia diagnostic criteria. Stepwise multiple linear regression was used to determine the most significant variables associated with walking speed. Receiver operating characteristic analysis was used to determine the optimal cutoff values for hand grip strength in detecting slow walking speed. Results A total of 301 participants with an average age of 73.9 ± 6.8 years were included; 55.1 % participants were women. In stepwise multiple linear regression analysis that included various variables, hand grip strength was found to be the most explainable factor associated with walking speed among all participants and among participants of each sex. The optimal cutoff values for hand grip strength in the detection of slow walking speed were 19.73 kg for all participants (sensitivity: 55 %, specificity: 83 %, area under the curve: 0.74, accuracy: 66.9 %), 35.10 kg for men (sensitivity: 92 %, specificity: 42 %, area under the curve: 0.70, accuracy: 66.4 %), and 17.93 kg for women (sensitivity: 62 %, specificity: 80 %, area under the curve: 0.76, accuracy: 67.9 %). Conclusions Hand grip strength was found to be a useful proxy for the identification of slow walking speed in older adults.


BMJ ◽  
2009 ◽  
Vol 339 (nov10 2) ◽  
pp. b4460-b4460 ◽  
Author(s):  
J. Dumurgier ◽  
A. Elbaz ◽  
P. Ducimetiere ◽  
B. Tavernier ◽  
A. Alperovitch ◽  
...  

Gerontology ◽  
2021 ◽  
pp. 1-10
Author(s):  
Hiroyuki Shimada ◽  
Takehiko Doi ◽  
Sangyoon Lee ◽  
Kota Tsutsumimoto ◽  
Seongryu Bae ◽  
...  

<b><i>Introduction:</i></b> A cutoff speed of 1.0 m/s for walking at a comfortable pace is critical for predicting future functional decline. However, some older adults with walking speeds below the cutoff point maintain an independent living. We aimed to identify specific predictors of disability development in older adults with slow walking speeds in contrast to those with a normal walking speed. <b><i>Methods:</i></b> This prospective cohort study on 12,046 community-dwelling independent Japanese older adults (mean age, 73.6 ± 5.4 years) was conducted between 2011 and 2015. Participants were classified into slow walking speed (comfortable walking speed slower than 1.0 m/s) and normal walking speed (speed of 1.0 m/s or faster) groups and followed up to assess disability incidence for 24 months after baseline assessments. Cox proportional hazards regression models were used to identify predictors of disability development in the slow and normal walking groups. <b><i>Results:</i></b> Overall, 26.8% of participants had a slow walking speed. At follow-up, 17.3% and 5.1% of participants in the slow and normal walking groups, respectively, developed disability (<i>p</i> &#x3c; 0.01). Cox regression models revealed that age (hazard ratio 1.07, 95% confidence interval 1.05–1.09), walking speed (0.12, 0.07–0.22), grip strength (0.97, 0.95–0.99), Parkinson’s disease (4.65, 2.59–8.33), word list memory-immediate recognition score (0.90, 0.85–0.97), word list memory-delayed recall score (0.94, 0.89–1.00), Symbol Digit Substitution Test (SDST) score (0.98, 0.96–0.99), and 15-item Geriatric Depression Scale (GDS) score (1.04, 1.01–1.07) were significantly associated with disability incidence in the slow walking group. In the normal walking group, age, grip strength, depression, diabetes, cognition, GDS score, and reduced participation in outdoor activity were significantly associated with disability incidence; however, there was no significant association with walking speed. <b><i>Conclusions:</i></b> Decreased walking speeds have considerably greater impact on disability development in older adults with a slow walking speed than in those with a normal walking speed. Health-care providers should explore modifiable factors for reducing walking speed; they should also encourage improvement of risk factors such as muscle weakness and depression to reduce disability risk in older adults with slow walking speeds.


2021 ◽  
Vol 42 (01) ◽  
pp. 075-084
Author(s):  
Ahmed F. Shakarchi ◽  
Lama Assi ◽  
Abhishek Gami ◽  
Christina Kohn ◽  
Joshua R. Ehrlich ◽  
...  

AbstractWith the aging of the population, vision (VL), hearing (HL), and dual-sensory (DSL, concurrent VL and HL) loss will likely constitute important public health challenges. Walking speed is an indicator of functional status and is associated with mortality. Using the Health and Retirement Study, a nationally representative U.S. cohort, we analyzed the longitudinal relationship between sensory loss and walking speed. In multivariable mixed effects linear models, baseline walking speed was slower by 0.05 m/s (95% confidence interval [CI] = 0.04–0.07) for VL, 0.02 (95% CI = 0.003–0.03) for HL, and 0.07 (95% CI = 0.05–0.08) for DSL compared with those without sensory loss. Similar annual declines in walking speeds occurred in all groups. In time-to-event analyses, the risk of incident slow walking speed (walking speed < 0.6 m/s) was 43% (95% CI = 25–65%), 29% (95% CI = 13–48%), and 35% (95% CI = 13–61%) higher among those with VL, HL, and DSL respectively, relative to those without sensory loss. The risk of incident very slow walking speed (walking speed < 0.4 m/s) was significantly higher among those with HL and DSL relative to those without sensory loss, and significantly higher among those with DSL relative to those with VL or HL alone. Addressing sensory loss and teaching compensatory strategies may help mitigate the effect of sensory loss on walking speed.


2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Tomohiro Nishimura ◽  
Atsushi Hagio ◽  
Kanako Hamaguchi ◽  
Toshiyuki Kurihara ◽  
Motoyuki Iemitsu ◽  
...  

Abstract Background Locomotive syndrome (LS) is a condition of reduced mobility due to a disorder of the locomotive system. Increasing moderate to vigorous physical activity (MVPA) has been recommended to prevent LS. However, to increase daily MVPA is difficult for older people with LS. The MVPA consists of not only locomotive activities such as walking but also non-locomotive activities such as household activities. The aim of this study was to examine the associations between locomotive/non-locomotive MVPA and physical performance in older females with and without LS. Methods Participants of this cross-sectional study were 143 older community-dwelling Japanese females. The participants were divided into two groups based on the results of the stand-up test: the normal group (NL) (n = 86) and the LS group (n = 57). Both the locomotive and non-locomotive PA seperately measured with its intensity. The intensity of physical activity (PA) was calculated as METs and classified as sedentary behavior (SB 1–1.5 metabolic equivalent tasks (METs)), low-intensity physical activity (LPA 1.6–2.9 METs), and MVPA (≥ 3 METs). For example, locomotive LPA is slow walking speed of 54 m/min, and locomotive MVPA is walking speed of 67 m/min. While non-locomotive LPA is office work and cooking, non-locomotive MVPA is housecleaning. Physical function was evaluated by handgrip strength, walking speed, and 2-step test. Results Walking speed, hand-grip strength, 2-step test, daily step counts, and all PA measurements were not significantly different between two groups. In the LS, locomotive MVPA (r = 0.293, p < 0.05) and total MVPA (r = 0.299, p < 0.05) was significantly correlated with walking speed, but not in the NL. Conclusions Walking speed was positively correlated with locomotive MVPA and total MVPA in the LS group, but not in NL group. This result suggests that slow walking speed in older people with LS occur in connection with lower locomotive MVPA and total MVPA.


2019 ◽  
Vol 27 ◽  
pp. S260
Author(s):  
H. Master ◽  
L.M. Thoma ◽  
T. Neogi ◽  
M. LaValley ◽  
M. Christiansen ◽  
...  

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