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

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

5 pothesis that lead is associated with slower walking speed.

6 mplified responses were also correlated with walking speed.

7 ppeared to take priority over maintenance of walking speed.

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

9 lity for individuals categorized with slower walking speed.

10 evodopa infusions as measured by tapping and walking speeds.

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

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

13 95% confidence interval: 1.40, 16.78), slow walking speed (adjusted odds ratio = 2.67, 95% confidenc

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

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

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

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

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

19 Walking speed and five repeated chair stands were slower

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

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

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

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

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

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

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

27 Walking speed and step length significantly increased wi

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

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

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

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

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

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

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

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

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

37 6 PCS scores and the percentage of change in walking speed at 2 years also were observed in groups re

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

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

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

41 Walking speed declined by 21.8% in these patients after

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

43 Walking speed decreases with severity of the disease as

44 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

70 Walking speed is a simple and reliable measure of motor

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

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

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

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

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

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

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

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

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

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

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

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

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

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

85 Slower walking speed outside the home was associated with faste

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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