The Impact of Age and Physical Activity Level on Manual Aiming Performance

Halewyck, Florian Van; Lavrysen, Ann; Levin, Oron; Elliott, Digby; Helsen, Werner

doi:10.1123/japa.23.2.169

Cited by 1 publication

(5 citation statements)

References 36 publications

(47 reference statements)

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“…1a) was identical to the one used in previous studies , 2015a, 2015b. Participants sat in a comfortable chair and wore a wrist hand orthosis on the preferred right forearm.…”

Section: Manual Aiming Taskmentioning

confidence: 99%

“…In line with previous work (Van Halewyck et al , 2015aHalewyck et al , 2015b), a first-order, low-pass Butterworth filter with a cutoff frequency of 20 Hz was applied on the hand position data prior to the calculation of the dependent variables (Lavrysen et al 2007(Lavrysen et al , 2008(Lavrysen et al , 2012Van Halewyck et al 2015a). Filtered data were differentiated twice to obtain instantaneous velocity and acceleration profiles.…”

Section: Manual Aiming Taskmentioning

confidence: 99%

“…1a (righthand panel). Reaction time was defined as the time interval between the onset of the GO stimulus and the movement initiation (first sample after the onset of the GO stimulus when the standard deviation of the velocity profile was superior to 0.75 mm/s for 80 ms , 2015a, 2015b. Movement time was defined as the time interval between movement initiation and termination (first sample after the movement initiation when the standard deviation of the velocity profile was inferior to 0.75 mm/s for 80 ms).…”

Section: Manual Aiming Taskmentioning

confidence: 99%

“…The effects of age and physical activity level on manual aiming behavior and eye-hand coordination have been examined recently , 2015a. In these studies, both hand and eye movements were analyzed during performance of manual aiming in physically active and non-active older adults.…”

Section: Introductionmentioning

confidence: 99%

“…The effects of physical activity level on aiming behavior appeared, nonetheless, to be inconsistent. On one hand, evidence from the study of Van Halewyck et al (2015a) and others (Berchicci et al 2014;Capranica et al 2004;Cortis et al 2009) indicated that, compared to active older adults, non-active older individuals tended to be slower and, generally, adapt their motor behavior during performance of the manual aiming task. On the other hand, findings from a second study by showed no obvious group differences in movement characteristics between active and nonactive older adults, suggesting that the impact of physical activity level on aiming behavior was less distinct than the impact of age.…”

Section: Introductionmentioning

confidence: 99%

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Manual aiming in healthy aging: does proprioceptive acuity make the difference?

Helsen

Halewyck

Levin

et al. 2016

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The present study examines whether nonactive older adults are more dependent on visual information when executing aiming movements and whether age-related declines in proprioception play a mediating role herein. Young (N = 40) and older adults (N = 38) were divided into physically active and non-active subgroups based on self-reported sports participation levels. In experiment 1, participants executed wrist-aiming movements with and without visual feedback. In experiment 2, passive proprioceptive acuity was assessed using wrist motion detection and position matching tests. Results showed similar aiming accuracy across age groups both with and without visual feedback, but older adults exhibited longer movement times, prolonged homing-in phase, and made more corrective submovements. Passive proprioceptive acuity was significantly affected by physical activity level and age, with participants in the active group scoring better than their non-active peers. However, these declines did not predict performance changes on the aiming task. Taken together, our observations suggest that decline in proprioceptive acuity did not predict performance changes on the aiming task and older adults were able to compensate for their decreased motion and position sense when allowed sufficient time. In line with these observations, we proposed that older adults are able to compensate for their decline in proprioception by increasing their reliance on predictive models.

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“…1a) was identical to the one used in previous studies , 2015a, 2015b. Participants sat in a comfortable chair and wore a wrist hand orthosis on the preferred right forearm.…”

Section: Manual Aiming Taskmentioning

confidence: 99%