Elsevier

Gait & Posture

Volume 59, January 2018, Pages 122-127
Gait & Posture

Full length article
Increased sensory noise and not muscle weakness explains changes in non-stepping postural responses following stance perturbations in healthy elderly

https://doi.org/10.1016/j.gaitpost.2017.10.003Get rights and content

Highlights

  • Age-related change in postural strategy was not caused by change in muscle function.

  • Sensory function is crucial in postural control and balance training.

  • Elderly shift earlier towards a hip strategy to control posture.

Abstract

The response to stance perturbations changes with age. The shift from an ankle to a hip strategy with increasing perturbation magnitude occurs at lower accelerations in older than in young adults. This strategy shift has been related to age-related changes in muscle and sensory function. However, the effect of isolated changes in muscle or sensory function on the responses following stance perturbations cannot be determined experimentally since changes in muscle and sensory function occur simultaneously. Therefore, we used predictive simulations to estimate the effect of isolated changes in (rates of change in) maximal joint torques, functional base of support, and sensory noise on the response to backward platform translations. To evaluate whether these modeled changes in muscle and sensory function could explain the observed changes in strategy; simulated postural responses with a torque-driven double inverted pendulum model controlled using optimal state feedback were compared to measured postural responses in ten healthy young and ten healthy older adults. The experimentally observed peak hip angle during the response was significantly larger (5°) and the functional base of support was smaller (0.04 m) in the older than in the young adults but peak joint torques and rates of joint torque were similar during the recovery. The addition of noise to the sensed states in the predictive simulations could explain the observed increase in peak hip angle in the elderly, whereas changes in muscle function could not. Hence, our results suggest that strength training alone might be insufficient to improve postural control in elderly.

Introduction

In elderly, falls are the leading cause of accidental death and injury admissions to hospitals [1]. Postural control deficits contribute to the increased incidence of falls [2] but the influence of specific age-related changes in the neuro-muscular system on postural control is not well understood.

Healthy young and older adults use a different strategy in response to a perturbation of standing. With increasing perturbation magnitude, both young and older adults shift from an ankle to a hip strategy and eventually from a non-stepping to a stepping strategy [3], [4]. But this shift in strategy occurs at lower perturbation magnitudes in older than in young healthy adults [2], [3], [5].

Age-related changes in perturbed standing balance have been related to changes in muscle function. First, overall muscle weakness has been correlated with impaired postural control, with especially weakness of distal lower limb muscles limiting non-stepping balance control [6]. In addition, muscular effort to control posture increases in elderly [7]. Second, the rate of force development decreases with age, however its effect on balance control is unclear [3], [8]. Third, a decrease in functional base of support (FBOS) has been correlated with impaired postural control [3], [9]. Older adults with a decreased FBOS use a heel-rise and stepping strategy for smaller perturbations of balance compared to healthy controls [3].

Age-related changes in perturbed standing balance have also been related to changes in sensory function. The decline of the somatosensory system in elderly causes a decrease in position and movement sense [10], [11], [12], [13] and sensory loss has been related to declined postural control [14], [15], [16], [17]. For example, individuals with peripheral nerve dysfunction, such as patients with diabetic peripheral neuropathy, are at greater risk of falling [14]; patients with somatosensory loss rely on a hip rather than an ankle strategy for postural corrections [15]; and the compensatory muscle activity in response to a perturbation decreases when plantar skin sensory input is inhibited by hypothermia [16].

Dynamic simulations of perturbed standing balance have been used to investigate the selection of an ankle or hip strategy. Kuo et al. have shown that the capability to accelerate the center of mass, and hence to stabilize posture, is larger for hip versus ankle strategies and for stepping versus non-stepping strategies[18], [19]. We recently found that hip strategies minimize center of mass movement whereas ankle strategies are energetically more efficient [20], [21].

Since age-related changes in muscle and sensory function occur simultaneously, their individual contributions to postural control are hard to determine experimentally. In contrast, predictive simulations of balance allow investigating the effect of isolated changes in muscle or sensory function on postural control.

Here, we used our recently developed framework for predictive simulations of perturbed standing balance [20] to investigate the effect of isolated age-related changes in the neuro-musculoskeletal system on the postural response to a backward support surface translation. Specifically, we assessed how either a decrease in muscle function or an increase in sensory noise influenced the predicted postural response. Simulated responses were compared to measured responses in a group of healthy young and older adults without a history of falling to evaluate whether the modeled changes in muscle and sensory function could explain the increased occurrence of hip strategies in the older versus young adults.

Section snippets

Experiments

Ten healthy young (21 ± 2 STD (standard deviation) years) and ten healthy older adults (67 ± 3 STD years) without history of falling participated in the study. KU Leuven’s commission of medical ethics approved the experimental protocol. Participants provided written, informed consent prior to participating.

Subjects stood at stance width equal to their shoulder width on a moving platform (Caren-base, Motekforce Link, Netherlands). Subjects were informed that the platform would randomly move in

Descriptive statistics

The kinematic response of young and older adults to backward support surface translations was significantly different. None of the young subjects used a stepping or heel rise strategy. In contrast, in response to perturbations with respectively medium and fast acceleration profiles two and four older adults used a heel rise or stepping strategy (Table 1). Whereas the peak hip angles increased significantly with perturbation magnitude in both groups (p < 0.001) (Table 1), this increase was larger

Discussion

The main aim of the study was to identify the individual contribution of age-related changes in either muscle or sensory function to changes in non-stepping postural control in response to a backward surface translation. By modeling sensory noise we could explain the experimentally observed increase in peak hip flexion angle in older versus young adults. In contrast, changes in the variables that describe muscle function, including the FBOS, could not explain the experimentally observed

Conclusion

Noise in the sensory system but not reduced muscle function or a smaller functional base of support could explain the observed shift in postural strategy towards a hip strategy in healthy older versus young adults following a backward support surface translation. Hence, our results suggest that strength training alone might be insufficient to improve postural control in elderly. Alternative fall prevention strategies, such as proprioceptive training [31] or the use of sensory cues in the

Conflict of interest

All authors hereby declare that there are no conflicts of interest.

Acknowledgments

Maarten Afschrift is a research fellow of the Flemish agency for scientific research (FWO-Vlaanderen). The authors thank the participants, Aijse De Vries and Witze Van Houtte for their contribution to the data collection.

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