A kinematic comparison between elderly and young subjects standing up from and sitting down in a chair

Mourey, France; Pozzo, Thierry; Rouhier-Marcer, I; Jp, Didier

doi:10.1093/ageing/27.2.137

Cited by 103 publications

(74 citation statements)

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“…They reported in their study that the transition type (i.e., SiSt or StSi) and the TD were not different. These results are at variance with reports from Mourey et al who, with different methodology, reported that the SiSt TD was greater than the StSi TD for both younger (22.8 ± 1.5 yr) and older (73.2 ± 5.5 yr) subjects [25]. Both studies, however, tested only a limited number of transitions under laboratory conditions.…”

Section: Subjectcontrasting

confidence: 77%

Quantification of everyday motor function in a geriatric population

Bruin¹,

Najafi²,

Murer³

et al. 2007

JRRD

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Abstract-This pilot study evaluated variability in physical activities and the correlations between walking, two types of postural transitions, and falls efficacy with an ambulatory activity monitor. An 11-subject convenience sample wore the monitor for 2 consecutive days; in addition, 7 subjects carried the monitor on 1 day of the following week. Demographic characteristics of the sample were age: mean +/-standard deviation [SD] = 87.8 +/-2.5 yr, body mass index: mean +/-SD = 25.3 +/-2.1 kg/m 2 , and Mini-Mental State Examination score: mean +/-SD = 27.5 +/-2.0. Analyzed movements were sit-to-stand (SiSt) and stand-to-sit postural transitions, dynamic activity (walking), and static behavior (sitting, standing, lying). Significant correlations were found for the SiSt transition duration (TD) between days (intraclass correlation coefficient = 0.78). No differences were found between the durations of sitting (p = 0.8), lying (p = 0.72), standing (p = 0.06), and walking (p = 0.6). These parameters showed highly variable correlation coefficients. A significant correlation was observed between falls efficacy and SiSt measures (r = 0.84, p < 0.01, df = 9). We reliably determined the SiSt TD after subjects wore the monitor for 1 day in the home environment. Poor correlations between 2 consecutive measurement days for dynamic and static activity underline the necessity of recording further days to assess physical activity levels in the geriatric population.

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Section: Subjectcontrasting

confidence: 77%

Quantification of everyday motor function in a geriatric population

Bruin¹,

Najafi²,

Murer³

et al. 2007

JRRD

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“…This decrease has a physiologic basis in aging and is amplified by disuse and dysfunction. In general, aging adults demonstrate decreases in movement speed (Light, 1990;Mankovsky, Mints, & Lisenyuk, 1982;Poston et al, 2008;Yan et al, 1998), accuracy of movement (Chaput & Proteau, 1996), reaction time (Light, 1990;Sparrow et al, 2006;Yan et al, 1998), strength (Roos et al, 1997;Vandervoort, 2002), hand dexterity (Contreras-Vidal, Teulings, & Stelmach, 1998;Seidler, Alberts, & Stelmach, 2002), and postural control (Jonsson, Henriksson, & Hirschfeld, 2007;Koceja, Allway, & Earles, 1999;Mourey et al, 1998;. En masse, these changes have the potential to contribute to a spiral of disuse and loss of function that often characterizes the process of aging.…”

Section: Changes To the Human Sensorimotor System Across The Lifespanmentioning

confidence: 99%

Vision for Motor Performance in Virtual Environments Across the Lifespan

Grabowski¹,

Mason²

2012

Virtual Reality and Environments

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“…Generally, young and elderly subjects actually execute the sit-to-stand phase faster than the stand-to-sit phase [30,37]. This is most likely due to the lack of visual information for the control of the backward motion during stand-to-sit.…”

Section: Young and Elderly Subjects Presented Similar Behaviour Regarmentioning

confidence: 99%

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

Skoura

Papaxanthis

Vinter

et al. 2005

Behavioural Brain Research

103

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The present study examines the temporal features of overt and covert actions as a function of normal aging. In the first experiment, we tested three motor tasks (walking, sit-stand-sit, arm pointing) that did not imply any particular spatiotemporal constraints, and we compared the duration of their overt and covert execution in three different groups of age (mean ages: 22.5, 66.2 and 73.4 years). We found that the ability of generating motor images did not differentiate elderly subjects from young subjects. Precisely, regarding overt and covert durations, subjects presented similarities for the walking and pointing tasks and dissimilarities for the stand-sit-stand task. Furthermore, the timing variability of imagined movements was always greater compared to actual movements and was of the same amount in the three groups of age. In the second experiment, we investigated the effect of age (three groups with mean ages: 22, 64.8 and 73.2 years) upon temporal characteristics of covert and overt movements involving strong spatiotemporal constraints (speed/accuracy trade-off paradigm). During overt execution young and elderly subjects respected Fitts's law despite the fact that movement speed progressively decreased with age. Thus, while execution is deteriorated, the motor preparation process is still intact in old age, and follows well-known laws of biological motions. For covert execution, movement speed progressively decreased with age but elderly subjects did not respect Fitts's law. This suggests that the generation and control of motor intentions that consciously do not come to execution, particularly those concerning complex motor actions are progressively perturbed in the aging brain.

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A kinematic comparison between elderly and young subjects standing up from and sitting down in a chair

Abstract: There is a relationship between changes in the motor control of the task, which appeared during periods of potential postural instability, and the effects of ageing on postural stability.

Cited by 103 publications

References 0 publications

Quantification of everyday motor function in a geriatric population

Quantification of everyday motor function in a geriatric population

Vision for Motor Performance in Virtual Environments Across the Lifespan

Mentally represented motor actions in normal agingI. Age effects on the temporal features of overt and covert execution of actions

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