Abstract
Research Question: This study aimed to determine age-related changes in head
control during compensatory stepping against postural perturbation.
Methods: Fifteen community-dwelling elderly individuals and 11 young adults
participated in this study. We carried out the Push and Release Test, wherein a
participant leaned on to the examiner’s hands. A compensatory backward stepping was
triggered by suddenly releasing the supporting hands. Based on both ground reaction
force and acceleration of the examiners’ hands, backward stepping was divided into
four phases. Head sway and activity of sternocleidomastoid muscle were measured
using a three-dimensional motion analysis system and an electromyograph. We
determined the relationship between age and stepping phase in terms of head sway and
sternocleidomastoid activity.
Results: The results of a two-way analysis of variance confirmed the relationship
between age and stepping phase in the amount of anteroposterior sway of head center
of mass. T-test results revealed that, due to the sternocleidomastoid activity, the elderly
group had significantly higher values in the single-stance phase than the young-adult
group.
Significance: Our data indicate a change with age in the compensatory stepping in
response to load disturbances due to a decline of the ability of an individual to orient
the center of mass of the head to an optimal location during compensatory stepping. In
addition to insufficiencies of sensory inputs, the overactivity of the sternocleidomastoid
is considered as one of the mechanisms for head control deficits.
Keywords: Compensatory Stepping; Elderly; Head Center of Mass; Sternocleidomastoid Activity
Abbreviations: COM: Center of Mass; EMG: Electromyography; SCM: Sternocleidomastoid Muscle; QS: Quiet Standing; PS: Perturbation Stepping; SS: Single Stance; MVC: Maximum Voluntary Contraction; ANOVA: Analysis of Variance
Introduction
Falls in elderly people are among the major problems in the
aging society. It causes serious injuries, such as a vertebral fracture
and head trauma, inducing health-related adverse consequences.
Previous studies have reported on the risk factors of falls and
preventive strategies for elderly people [1,2]. It is proposed that
a primary factor of falls was the decline in standing balance, both
static and dynamic postural control [3]. In general, there are
three different strategies to compensate for imbalance, which are
as follows: ankle, hip, and stepping strategies [4]. Among these
postural strategies, the stepping strategy, the compensation for lost of balance with a single step, is the last bastion to prevent falls [5].
In addition, elderly individuals tend to frequently lose their balance
in the backward direction due to the kyphotic deformity in the
thoracic spine [6-8]. Therefore, it is crucial for elderly people to be
capable of backward stepping against balance loss.
The human body has a complex segmented structure, which
is composed of the head, trunk, and four limbs. The center of
mass (CoM) in the frontal/sagittal plane of each segment is not
uniform [9]. Correspondingly, this location must be perceived, even
during postural control strategies such as the stepping response,
and analyzing the characteristics of positional changes (i.e.,
perturbations) is thought to be important. Particularly, with the
weight of a head being approximately 7% of the total body weight
[10] and its range of motion positioned superior to the cervical
vertebrae, the head CoM is believed to have a significant influence
on the COM of a whole body. Head stabilization is necessary
to optimize conditions for the visual organs and maintaining
head stability may be one of the most fundamental tasks of the
postural control system [11,12]. On the other hand, there are no
reports regarding the characteristics of the sway of head CoM in
compensatory backward stepping. We assumed that head control
in distinctive phases of stepping is one of the important factors for
fall prevention. Therefore, this study aimed to determine the agerelated
changes in head control, based on the characteristics of the
sway of the head CoM during compensatory stepping due to a load
disturbance.
Methods
Participants
The study participants were 15 healthy elderly people living in the community (6 women, 9 men; average age, 66.7 ± 3.0 years) and 11 young adults (4 women, 7 men; average age, 20.5 ± 1.4 years). All participants received explanations about the purpose of the study and experimental procedure, and provided written informed consent. This study was approved by the ethics committee of the Chiba Prefectural University of Health Sciences, which is the former institution of the first author.
Measurements and Experimental Procedure
Ground reaction forces were recorded from 4 force plates with
a sampling frequency at 1,000 Hz (AMTI, BP400600). One pair of
force plates was used for the starting position and the other pair
was used for the reaction force by the landing limb. The present
study focused on age-related changes of compensatory backward
stepping to recovery from balance loss. To evoke backward
stepping, the Push and Release Test was adopted [13,14]. In this
test, the participant was instructed to stand on the pair of force
plates and to lean on to the examiner’s hands, which supported the
participant’s upper back. Then, the examiner suddenly released
his hands and so, the participant stepped backward to maintain
standing balance. The release timing of the examiners’ hands was
defined as the moment when the midpoint of the putative line
between the acromion and greater trochanter of the participant
was over the posterior edge of heels. It was determined by a visual
inspection through a large mirror, and identified with the use of an
accelerometer attached on the back of the examiner’s hands [15].
The accelerometer was digitized at 1,000 Hz.
To measure the head movement during backward stepping,
kinematics data were recorded using a 3D motion capture system
(Motion Analysis Co., Mac3D, California, USA). Twenty-nine infrared
reflective markers were placed based on the Helen Hayes marker
set [16]. Kinematic signals from the motion capture system camera
were sampled at 200 Hz. We further performed Electromyography
(EMG) of the Sternocleidomastoid Muscle (SCM), which is involved
in head control during backward stepping. The EMG electrodes
(S&ME Co., DL-141, Tokyo, Japan) were attached on the sternal
head of the SCM at the level of the thyroid cartilage. We measured
the unilateral musculus SCM to confirm that the rotation movement
of the cervical vertebrae did not occur before the task movement.
The EMG signal was recorded at 1,000 Hz and through a band-pass
filter (55–500 Hz) to decrease movement artifact and extraneous
noise.
Data Analysis
Based on a vertical component of ground reaction forces, compensatory backward stepping was divided into the following four phases (Figure 1): Quiet Standing (QS), Perturbation Stepping (PS) Single Stance (SS), and landing. PS was defined as the moment from the onset of hands release to the time when the stepping limb was removed from the force plate. Time window for analysis was 1.0 s for QS and 0.1 s for landing. For the data analysis, the displacement of head CoM was defined by the standard deviation of locational data at each camera angle for each phase of backward compensatory stepping. The EMG activity in the SCM was normalized using % Maximum Voluntary Contraction (MVC) at 100%. A two-way analysis of variance (ANOVA) was performed on head CoM and SCM activity, with age group and stepping phase used as factors. Post hoc analysis was Comparisons between age groups and stepping phases were made using an unpaired t-test and a multiple comparison test, respectively. The significance level was set at 5%.
Results
Table 1 shows the amount of head COM sway in each phase of compensatory backward stepping. The two-way ANOVA showed a significant main effect on phase (F=49.7, p< 0.01), and the interaction between age and phase in the amount of anteroposterior sway of the head COM (F= 4.41, p< 0.01). Figure 2 shows the correlation between age group and stepping phase of compensatory backward stepping. Regarding SCM activity, no interaction was observed between the two factors, but a main effect was observed for both age group and stepping phase factors. The results of the t-test for the age group factor revealed that the elderly group had significantly higher values in the SS phase than the young-adult group (Figure 3). Moreover, the results of the multiple comparison test for the stepping phase factor indicated that the elderly group had significantly higher values during the PS, SS, and landing phases than during the QS phase (Figure 3). However, the young-adult group showed no significant differences in any phase.
Note: (mean ± SD, m/s2)
A-P, anterior-posterior; M-L, medial-lateral; QS, quiet standing; PS, perturbation-stepping; SS, single stance; SD, standard deviation.
Discussion
The results of the present study showed a smaller posterior
displacement of head COM, with a larger sway in the standing
phase, in the elderly group than in the young-adult group. On the
other hand, the SCM activity that contributes to head movements
was larger in the elderly group than in the young-adult group,
although the difference was not significantly different in the
standing phase. These results imply that the head control strategy
in the anteroposterior direction varies depending on age; elderly
people have increased stiffness due to the hyperactivation of the
neck muscles, rather than flexible coordination. One of the possible
mechanisms is the restriction of neck joint movement due to higher
muscle tonus and structural changes of the neck joint. The cervical
spine has the greatest mobility in the human vertebrae, which
stabilizes the visual and vestibular organs in space during spatial
localization [17]. In general, aging increases the muscle tone of
the shoulder girdle and neck joints [18], causing restriction in the
range of motion in the cervical and thoracic spine. Reduced joint
movement would affect the consolidation of information from
the sensory organs and deteriorate both static and dynamic head
control [19].
This explanation is supported by the SCM activity, wherein
the agonist muscle of neck flexion compensates for the backward
postural disturbance. The elderly stabilize their head position
with pronounced SCM activity throughout each successive phase
of backward compensatory stepping (i.e., from QS to landing).
In particular, the SCM activity in the SS phase was significantly
higher in the elderly group than in the young-adult group, which
drastically reduces the base of support. Apart from their role in
flexible joint coordination, the activities of larger neck muscles
compensate to stabilize the head position on the same location.
The activity of the SCM is known to be evoked by the startle reflex
[20]. The present perturbation paradigm, which states that a
rapid backward perturbation can evoke the startle reflex, may be
pronounced in elderly people. A limitation of our study is its small
sample size, as only a few participants were recruited due to the
risk of disturbance loading. In addition, this study was conducted to
investigate the effects of aging by comparing the data between the
elderly and young-adult participants. It is necessary to investigate
in the future the differences between men and women, because sex
differences in postural regulatory mechanisms have been reported
in the aging process [21]
Conclusion
The results of the present study revealed that the compensatory stepping of elderly people against a load disturbance involves smaller anteroposterior sway of the head CoM compared to that of young adults. This indicated age-related changes in the compensatory stepping against load disturbances, as the elderly population has a reduced ability to optimize the spatial localization of the head through the consolidation of sensory organ information. The results also indicated the activation of the SCM, the principal agonist of neck flexion, as one of the mechanisms controlling the head CoM during compensatory stepping.
Conflict of Interest Statement
None declared.
Author Contributions
• Yahiko Takeuchi: Conceptualization, Methodology, Software,
Formal analysis, Writing-Original draft preparation, Project
administration, and Funding acquisition.
• Kimiya Fujio: Methodology, Software, Visualization, and
Writing-Review and Editing.
• Ryo Fukata: Writing-Review and Editing.
Data Statement
All data are fully available without restriction.
Acknowledgment
This work was supported by JSPS KAKENHI Grant Number 17K07594.
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