ライフサイエンスコーパス: walking speed

1 mobility (timed-up-and-go, chair stand, and walking speed).

2 formance Battery and a 4-meter test of usual walking speed).

3 echanical power (R > 0.9 across subjects and walking speeds).

4 mplified responses were also correlated with walking speed.

5 ppeared to take priority over maintenance of walking speed.

6 rapy), and repetitive task training improved walking speed.

7 lity for individuals categorized with slower walking speed.

8 s further explained the group differences in walking speed.

9 Fractal dimensions were predictors of walking speed.

10 physical activity level, weakness, and slow walking speed.

11 ated moderate to good accuracy in estimating walking speed.

12 he retinal nerve fiber layer (RNFL), and the walking speed.

13 ion to predict peak Achilles tendon load and walking speed.

14 sed risk (95% CI, 8%-20%) of developing slow walking speed.

15 12) via tandem stand, chair stand, and timed walking speed.

16 pothesis that lead is associated with slower walking speed.

17 ce whole-body energy cost differently across walking speeds.

18 evodopa infusions as measured by tapping and walking speeds.

19 dard passive prosthesis across all evaluated walking speeds.

20 ns (30 degrees , 5 degrees , 0 degrees ) and walking speeds.

21 the biological ankle, particularly at slower walking speeds.

22 ual or vestibular manipulations at different walking speeds.

23 ate healthy gait mechanics at extremely slow walking speeds.

24 hip stance positive work (p = 0.029) across walking speeds.

25 ransformed concentration, p value 0.04), 4-m walking speed (0.042 m/s [0.01, 0.07], p value 0.003), a

26 3 (women) second difference), nine years for walking speed (0.21, 0.05 to 0.36; 5.5 (men) and 5.3 (wo

27 versus -107.0 ft/y; P=0.019), fast-paced 4-m walking speed (-0.0034 versus -0.111 m . s(-1) .

28 s increased energy cost by 9.6% at a typical walking speed (1.25 m/s, p = 0.026), but reduced energy

29 d whole-body energy expenditure across three walking speeds (1.25, 1.75, and 2.0 m/s) and three level

30 vides users with the largest improvements in walking speed(1) and energy economy(2-4) but requires le

31 22% (95% confidence interval 12% to 33%) for walking speed, 15% (6% to 25%) for grip strength, 14% (7

32 rvival (p > 0.05 for all) except for maximal walking speed (2.2 vs. 1.9 m/s, p = 0.007).

33 cal performance was assessed on the basis of walking speed, ability to rise from a chair, and standin

34 95% confidence interval: 1.40, 16.78), slow walking speed (adjusted odds ratio = 2.67, 95% confidenc

35 This study provides evidence that walking speed alone can provide similar information on m

36 full short physical performance battery and walking speed alone, in both unadjusted and adjusted bas

37 sk of developing weak grip strength and slow walking speed, although the findings were more robust fo

38 The average improvement in walking speed among dalfampridine-treated TWRs during th

39 Depending on the walking speed, an intermediate temperature range can pot

40 l paws are fully accounted for by changes in walking speed and body size, more complex 3D trajectorie

41 Observed walking speed and cadence were higher in winter (average

42 pically improving functional metrics such as walking speed and cadence.

43 receiving Hebbian stimulation improved their walking speed and corticospinal function to a greater ex

44 n mutant Parkin in flies resulted in reduced walking speed and decreased reactivity to passing shadow

45 , the Body Clock and Clocks that incorporate walking speed and disability and their aging rates, capt

46 ive clinical assessments, strongly predicted walking speed and distance.

47 e minimal clinically important difference in walking speed and endurance was achieved after 20 sessio

48 ibited significantly greater improvements in walking speed and endurance, corticospinal excitability,

49 Walking speed and five repeated chair stands were slower

50 Higher fat mass was associated with slower walking speed and greater likelihood of functional limit

51 Physical performance was assessed by walking speed and grip strength, while global functional

52 the onset of MLR-HFS, a significantly higher walking speed and improvements in several dynamic gait p

53 easures over time, including less decline in walking speed and in number of chair stands women could

54 decrease was accompanied by improvements in walking speed and in the modulation of locomotor electro

55 body composition, was associated with faster walking speed and less limitation.

56 d of the active period (P = 0.0097) although walking speed and mechanical stress were similar.

57 owed a linear association between continuous walking speed and mortality with and without adjustment

58 ading was positively correlated with maximum walking speed and negatively correlated with double limb

59 The association between walking speed and quintiles of blood lead concentration

60 ardiorespiratory training to improve maximum walking speed and repetitive task training or transcrani

61 most distinct gait conditions were preferred walking speed and semantic dual task.

62 Among all 2549 patients from the 3 trials, walking speed and SF-36 PCS score at baseline were signi

63 Walking speed and step length significantly increased wi

64 However, (3) interactions between walking speed and susceptibility to perturbations, when

65 ributes to leg motor control irrespective of walking speed and that the fly's middle legs play a spec

66 er poorer SRH was associated with decline in walking speed and whether caregiving, often considered a

67 participants, we found different self-paced walking speeds and floor surface effects can be accurate

68 Self-selected walking speeds and maximum knee adduction moments of 44

69 ion enables biomimetic adaptation to various walking speeds and real-world environments, including sl

70 ded to achieve task goals (e.g., maintaining walking speed) and a simple walker's ability to reject l

71 uscle weakness, low energy expenditure, slow walking speed, and exhaustion [Fried criteria]) and comp

72 impaired activities of daily living, faster walking speed, and favorable objective biomarkers (conce

73 ed nerve regeneration (p < 0.001), increased walking speed, and improved skilled locomotion.

74 hort physical performance battery, a test of walking speed, and mortality.

75 ht, exhaustion, low energy expenditure, slow walking speed, and muscle weakness.

76 amputations, robotic prostheses can increase walking speed, and reduce energy use, the incidence of f

77 Primary outcome was fastest walking speed, and secondary outcomes were timed up-and-

78 ted exhaustion, low energy expenditure, slow walking speed, and weakness.

79 ted exhaustion, low energy expenditure, slow walking speed, and weakness.

80 ts or lower-limb injuries can lead to slower walking speeds, and the recovery of able-bodied gait spe

81 Changes in walking speed are characterized by changes in both the a

82 r sedentary hours per day and slower outdoor walking speed are modifiable behaviors that are associat

83 ps produced a greater improvement in fastest walking speed at 1 day and 3 months postintervention tha

84 6 PCS scores and the percentage of change in walking speed at 2 years also were observed in groups re

85 at poor olfaction was associated with slower walking speed at baseline and a faster decline over time

86 nship between the SF-36 PCS score and T25-FW walking speed at baseline and the 2-year changes from ba

87 ort Physical Performance Battery (SPPB), 4-m walking speed at both 2011-13 and 2016-17, and the modif

88 dence emerged of a significant increasing in walking speed attributable to device usage compared to w

89 ol condition in measures of muscle strength, walking speed, balance, and perceived health but not bon

90 were associated with participants' preferred walking speeds, balance ability, cadence, and step lengt

91 od of developing weak grip strength and slow walking speed because purpose has been linked with a ran

92 itness mediated ~20-70% of the difference in walking speed between older adults with and without diab

93 t/dark box test, mice exhibited differential walking speeds between the light and dark zones.

94 nd diastolic BPs were associated with slower walking speed (both P=0.010), smaller step length (P=0.0

95 ncreased gait variability and slower overall walking speed, both of which are indicators of gait inst

96 It appeared that a mismatch in walking speed, but also age, sex and BMI may lead to err

97 fastest walking speed by 19%, self-selected walking speed by 18%, and walking endurance by 12% after

98 Participants significantly increased fastest walking speed by 19%, self-selected walking speed by 18%

99 oskeleton increased overground self-selected walking speed by 20.2 +/- 5.0% on average among six chro

100 Human walking speeds can be influenced by multiple factors, fr

101 m the oldest British birth cohort study with walking speed, chair rise speed, balance time, and grip

102 and energy return during gait at a range of walking speeds compared to a passive device of a fixed s

103 Decreased walking speed correlated with increased gait variability

104 Walking speed declined by 21.8% in these patients after

105 Walking speed decreased by >30% in two participants and

106 Among women, walking speed decreased with increasing quintiles of blo

107 Walking speed decreases with severity of the disease as

108 lta = -1.31 +/- 0.33 s; P < 0.0001), and 4-m walking speeds (Delta = 0.14 +/- 0.03 m/s; P = 0.006) th

109 asymptomatic population database in terms of walking speed, demographic and anthropometric parameters

110 ow both the rate of infection as well as the walking speed depend on the local crowd density around a

111 Self-selected walking speed did not differ between patients with knee

112 mote access to laboratory quality data about walking speed, duration and distance, gait asymmetry and

113 ronically, OL-Atf(-/-) mice showed decreased walking speed during plantar stepping despite greater co

114 a, on parkinsonism measured with tapping and walking speeds, dyskinesia, subjective effects, and vita

115 Here, we examined walking speed effects on gait variability in healthy adu

116 study aimed to validate a wearable device's walking speed estimation pipeline, considering complexit

117 Two walking speed estimation pipelines were validated across

118 rror (MAE) and mean relative error (MRE) for walking speed estimation ranged from 0.06 to 0.12 m/s an

119 Normal walking speed explained 24.9% of the variance in FES-I i

120 Differences in self-selected normal walking speed explained only 8.9% of the variation in ma

121 the ratio of mobility course speed to a 4-m walking speed expressed as a percentage.

122 compressive strain increased with increasing walking speed for the speeds tested in this study (0.9-2

123 text]=0.28, [Formula: see text]), a reduced walking speed ([Formula: see text]=0.25, [Formula: see t

124 This optimization increases the robot's walking speed from 5 mm/s to 8 mm/s, reduces the error r

125 h the association between education and fast walking speed (FWS) is explained by 17 mediators (cardio

126 cs using multiple regression models based on walking speed, gender, age and BMI as predictors.

127 oorest baseline quartile of normal-paced 4-m walking speed had significantly increased total mortalit

128 scle function tests: "Timed Up and Go" test, walking speed, handgrip strength, and standing heel-rise

129 We find that the average walking speed has increased by 15%, while the time spent

130 s indicate that gait variability at multiple walking speeds has potential as an assessment tool for v

131 d poor grip strength, exhaustion, and slowed walking speed (hazard ratio, 2.61; 95% CI, 1.14-5.97) we

132 KT recipients with exhaustion and slowed walking speed (hazards ratio = 2.43; 95% CI, 1.17-5.03)

133 were observed in dual-task step length, and walking speed however was more limited in single-task no

134 theta was also significantly correlated with walking speed; however, this correlation appeared unrela

135 study demonstrated an exacerbated decline in walking speeds (ie, stride velocity and cadence), indica

136 peak muscle force production increased with walking speed, impairing the ability of the muscle to pr

137 ne in both knee extensor muscle strength and walking speed in 641 women with hypertension who had par

138 ndependently associated with muscle mass and walking speed in a cohort of 186 aged people.

139 intake was modestly protective of decline in walking speed in a dose-dependent manner [e.g., protein

140 ges in the motion vision pathway depended on walking speed in a manner dependent on the nutritional s

141 r fly, Drosophila melanogaster, can modulate walking speed in a variety of contexts and also change h

142 While loading rate increased with walking speed in all three limbs, the greatest increase

143 Mean 3-year decline in walking speed in continuous ACE inhibitor users was -1.7

144 Improvement in walking speed in fampridine-treated timed walk responder

145 y 24-2 test were more highly correlated with walking speed in glaucoma than the visual fields scored

146 related to adult grip strength, height, and walking speed in men and women as well as to lower condi

147 In contrast, lead was not associated with walking speed in men.

148 g speed in older adults, but their impact on walking speed in older adults with diabetes has not been

149 rmined their relative contribution to slower walking speed in older adults with diabetes.

150 idative capacity are associated with reduced walking speed in older adults, but their impact on walki

151 y, poorer SRH was associated with decline in walking speed in older women, and the stress of caregivi

152 did not significantly improve disability or walking speed in patients with progressive multiple scle

153 rments due to a stroke, leading to increased walking speed in post-treatment compared to pre-treatmen

154 Spatial representations and walking speed in rodents are consistently related to the

155 rial consisted of walking at a freely chosen walking speed in the participant's usual style.

156 concentration was associated with decreased walking speed in women, but not in men.

157 d weight transfer between limbs at different walking speeds in 15 individuals with unilateral transfe

158 e the performance of the T265 with different walking speeds in different environments, both indoor an

159 rial oxidative capacity contribute to slower walking speeds in older adults with diabetes.

160 posture and foot placement across a range of walking speeds in response to optical flow perturbations

161 methods is most accurate for slow to normal walking speeds in small- to medium-sized environments.

162 leg stiffness, drastic improvement in gait, walking speed increase over 100%, and daily walking dist

163 ard deviation increase in memory, subsequent walking speed increased by 0.07 standard deviations (95%

164 While the Argus II device was active, walking speed increased from baseline to immediately aft

165 Because walking speed is a quick and easy-to-administer test, fi

166 Walking speed is a simple and reliable measure of motor

167 nt augmentation, the maximum neuroprosthetic walking speed is increased by 41%, enabling equivalent p

168 Reduced walking speed is one of the major problems limiting comm

169 ect persisted after adjustment for age, sex, walking speed, knee pain severity, physical activity, va

170 Our analysis measures changes in walking speed, lingering behavior, group sizes, and grou

171 Slow walking speed, low grip strength, exhaustion, low physic

172 they had >=3 of the following criteria: slow walking speed, low grip strength, weight loss, exhaustio

173 owing criteria: weight loss, exhaustion, low walking speed, low hand grip strength, and physical inac

174 ction: low grip strength, low energy, slowed walking speed, low physical activity, and unintentional

175 Sarcopenia, fatigue, low walking speed, low physical activity, and unintentional

176 of the 5 criteria, including weakness, slow walking speed, low physical activity, exhaustion, and we

177 grip strength, poorer lung function, slower walking speed, lower fluid intelligence, higher allostat

178 Usual walking speed (m/s) over 20 m was measured in years 2 th

179 A 20% to 25% decline in walking speed may be a clinically meaningful threshold f

180 A time-dependent walking speed measure showed a more than twofold increas

181 In patients with MS, walking speed measured using the T25-FW correlated with

182 The primary endpoints were change in walking speed, measured by the 10-meter walk test pre-vs

183 Walking speed models (mean absolute percentage error (MA

184 All groups had similar improvements in walking speed, motor recovery, balance, functional statu

185 For example, walking speed must be tailored to the needs of a particu

186 orer performance on chair rise (N = 10,773), walking speed (N = 9,761) and standing balance (N = 13,9

187 gnatures remained individual-specific across walking speeds: Notably, 3D kinematic signatures achieve

188 The odds ratio (OR) of walking speed of 0.4 m/s or slower was 2.87 (95% confide

189 with SF-36 PCS scores such that a decline in walking speed of 20% to 25% corresponded to a clinically

190 g., the stepping distance/ATP ratio) and the walking speed of kinesin at force ranges that have not b

191 y-one older adults walked at their preferred walking speed on a treadmill.

192 Findings may be attributed to walking speed or a function of turning experience and sh

193 e interneurons, was only mildly modulated by walking speed or visual motion adaptation.

194 Commands that modulated walking speed, originating from artificial neural activa

195 xhaustion, low physical activity, and slowed walking speed), other patient and donor characteristics,

196 Slower walking speed outside the home was associated with faste

197 f hours they spent sitting per day and their walking speeds outside their homes.

198 Rapid walking speed over 2, 3, or 6 m was measured at baseline

199 sk of developing weak grip strength and slow walking speed over time.

200 walking speed (P=0.0019), slower fast-paced walking speed (P<0.001), and a poorer Short-Form 36 Phys

201 ersus 1129 ft; P=0.0002), slower usual-paced walking speed (P=0.0019), slower fast-paced walking spee

202 ing 5 components: weak grip strength, slowed walking speed, poor appetite, physical inactivity, and e

203 ing 5 components: weak grip strength, slowed walking speed, poor appetite, physical inactivity, and e

204 (two or more of low physical activity, slow walking speed, poor grip strength, weight loss, and exha

205 The percentage of preferred walking speed (PPWS) for each subject was calculated as

206 Obstacle crossing significantly reduced walking speed, prolonged swing phase, and increased head

207 The study examined whether a test of walking speed provides similar predictive information on

208 We then generated a gait at self-selected walking speed; quantitative comparisons between our simu

209 e learning models predict parameters include walking speed (r = 0.73), cadence (r = 0.79), knee flexi

210 the disease influenced the adduction moment-walking speed relationship; the individual slopes of thi

211 ctory, which approximately conserves overall walking speed relative to undisturbed flat ground.

212 linear mixed models of percentage change in walking speed, respondents with fair/poor SRH experience

213 The preferred steady walking speed seems chosen to minimize energy expenditur

214 chy striatonigral neurons regulates implicit walking speed selection based on innate valence differen

215 Visual tasks led to decreased walking speed, shortened stride length, and reduced hip

216 Walking speed significantly affected all gait parameters

217 jects with URE (n = 132) demonstrated slower walking speeds, slower near task performance, more frequ

218 ter improvement relative to control group in walking speed (SMD = 0.67, 95% confidence interval [CI]

219 MT and NMES therapy in improving poststroke walking speed, spasticity, balance and other gait parame

220 ength (Spearman r=-0.34, P<0.01), and slower walking speed (Spearman r=-0.30, P<0.05).

221 h grip strength (Spearman r=-0.57, P<0.005), walking speed (Spearman r=-0.47, P<0.005), and falls (Sp

222 ry performance score combined performance in walking speed, standing balance, and time for 5 repeated

223 ry performance score combined performance in walking speed, standing balance, and time for five repea

224 Accelerometers recorded gait and walking speed, step length and step frequency were deter

225 For a 1-standard deviation increase in walking speed, subsequent memory increased by 0.08 stand

226 assessments (6-minute walk distance, 4-meter walking speed, summary performance score) were measured

227 , although the findings were more robust for walking speed than for grip strength.

228 ir/poor SRH experienced a greater decline in walking speed than those with excellent/good SRH (-5.66%

229 ults on the external force dependence of the walking speed, the forward/backward step ratio, and dwel

230 During preferred walking speed, the most significant gait parameter thres

231 e with PAD restrict walking activity or slow walking speed to avoid leg symptoms.

232 onal Composite score (a composite measure of walking speed, upper-limb movements, and cognition; for

233 curately monitor Achilles tendon loading and walking speed using wearable sensors that reduce subject

234 The mean 4-m walking speed was 0.82 m/s, whereas the mean mobility co

235 g Smedley spring-type hand dynamometers, and walking speed was assessed by asking respondents to walk

236 The relation between protein intake and walking speed was determined using joint models (linear

237 be stronger in women than men; for example, walking speed was higher by 0.43 cm/s (0.14, 0.71) more

238 uring pushoff increased from 41 to 48 MPa as walking speed was increased, and were comparable to esti

239 s, the percentage of change from baseline in walking speed was significantly correlated with the chan

240 The increased walking speed was the result of a higher self-selected c

241 The time to walk 20 ft (walking speed) was measured among 1,795 men and 1,798 wo

242 esis stiffness under computer control across walking speeds, we demonstrate that there exists a stiff

243 the core phenotypic domains of frailty-slow walking speed, weakness, inactivity, exhaustion, and shr

244 r more sedentary behavior and slower outdoor walking speed were associated with faster functional dec

245 Associations with walking speed were maintained in all covariate models (f

246 Physical inactivity and low walking speed were the frailty criteria that showed the

247 Mean blood lead concentrations and walking speeds were 2.17 mug/dL and 3.31 ft/sec in women

248 ine was nearly three times higher and tandem walking speeds were approximately 30% slower in particip

249 Four-meter and 400-m walking speeds were slower in those with diabetes.

250 exhaustion, low physical activity, and slow walking speed, whereas the consumption of vegetables was

251 (MAPE <= 12.6%) Achilles tendon loading and walking speed while ambulating in an immobilizing boot.

252 The stroke group decreased their walking speed whilst concurrently performing serial 3s d

253 ed the walking distance, stair-climbing, and walking speed WIQ category scores among individuals who

254 correlated with spontaneous fluctuations in walking speed, with different cell types showing differe

255 isease steps (PDDS), manual dexterity (MDT), walking speed (WST), processing speed (PST), and contras

256 essed as a binary yes or no outcome) or slow walking speed (yes or no) during the 4-year follow-up pe