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Effectiveness and sustainability of a motor-cognitive stepping exergame training on stepping performance in older adults: a randomized controlled trial

European Review of Aging and Physical Activity volume 17, Article number: 17 (2020) Cite this article

Abstract

Background

Training effects reported for stepping exergames on stepping performances in older adults often based on not comprehensively validated outcomes measures, and follow-up data on their sustainability are lacking. The aim of this study is to evaluate the effectiveness and sustainability of a motor-cognitive stepping exergame training on the stepping performance in older adults.

Methods

Fifty-eight older adults (78.3 ± 6.5 years) participated in the randomized controlled trial with a 10-week intervention and 10-week follow-up period. The intervention group (IG: n = 29) took part in a once-weekly exercise program including strength and balance exercises supplemented with an additional stepping exergame training. The control group (CG: n = 29) only performed the strength and balance exercises. Outcome measures included stepping reaction times (SRTs) and games scores for individual stepping exergame levels and for the overall exergame performance, as measured by an assessment strategy previously validated in older adults.

Results

SRTs and/or games scores for 7 out of 10 levels and the overall exergame performance significantly improved in the IG compared to the CG during the intervention (p ≤ 0.001–0.039, ηp 2 = 0.090–0.445). Training gains were sustained for 2 levels and for the overall exergame performance (p = 0.017–0.033, ηp2 = 0.127–0.193).

Conclusion

The study demonstrates that the additional stepping exergame training effectively and sustainably improves the performance in complex motor-cognitive stepping exergame tasks in older adults, which can be relevant for preventing falls. Future research is needed to evaluate the effectiveness of such training on reducing the number of falls.

Trial registration

ISRCTN registry, ISRCTN14855620, 06/06/2019 (retrospectively registered).

Introduction

The ability to initiate a fast voluntary step or to inhibit a preplanned step and adjust the foot landing position to prevent loss of balance or obstacle contact is crucial for avoiding a fall [1,2,3]. However, this ability deteriorates with age [4,5,6] and poor reactive and volitional stepping, especially impaired response inhibition during stepping, have been identified as risk factors for falls in older adults [7,8,9,10,11,12]. Exercise interventions with focus on performing precise, rapid and well-coordinated steps thus represent a valuable approach in fall prevention. In a systematic review, it has been shown that reactive and volitional stepping exercises can reduce falls in older adults by approximately 50% [13]. Improvements in balance and reaction time as well as the high task specificity for dynamic postural control due to the involvement of associated sensory, cognitive and motor skills were suggested to contribute to the high fall reduction effects of stepping exercises [13].

Interactive, exercise-based video gaming (exergaming) can offer attractive and effective training tools to improve stepping ability in older adults [14,15,16]. Stepping exergames typically require players to perform volitional and inhibitory stepping movements while interacting with stepping targets and distractors [14, 15], or trigger reactive stepping when balance is disturbed under unstable surface conditions [17] to complete computer-controlled, cognitively challenging tasks projected onto a display screen. Such complex motor-cognitive stepping exergame tasks involve the interaction between the sensory, information-processing (e.g. dual tasking, inhibiting irrelevant stimuli, fast decision-making) and neuromuscular systems during controlled body weight transfers. This interaction between multiple functional systems is similar to that required to initiate step responses to prevent falls [18], which seems more difficult to reproduce through traditional stepping exercises. Further advantages of exergame-based stepping exercises compared to traditional stepping exercises involve the opportunity to track players’ performance during interactive gameplay on various specific parameters by means of internal-software-generated data, which can be used not only to provide real-time immediate performance feedback but also to adjust the task difficulty to the specific performance level of the individual participant or be used for highly-specific assessment of the multimodal, motor-cognitive task characteristics of the specific exergame [19,20,21,22]. Furthermore, the playful and entertaining character of interactive exergaming can make training routine more engaging and enjoyable therefore increasing motivation to exercise [23] shifting participants’ attention to positive experience of movement [18], which might help to encourage older people to participate in physical activity [24] and to enhance the low participation and intervention adherence observed for conventional exercise programs [25].

Previous randomized controlled trials (RCTs) have shown that stepping exergame interventions can be effective to improve stepping performance in older adults, thereby reducing their fall risk [14,15,16, 26]. In these RCTs, intervention effects were partly documented by task-specific outcome measures on stepping performance derived from the internal data flow of the stepping exergame used for training purposes [14, 15]. However, the ‘internal outcome measures” applied in these RCTs had not previously been comprehensively validated for assessment purposes. In addition, there is a general lack of RCTs that examine the sustainability of stepping exergame interventions on the stepping performance of older adults after a long-term follow-up period without exergame training.

A previous RCT evaluating the effectiveness of a 10-week, non-stepping exergame-based balance training program (2 × 10 min/week) in older persons with cognitive impairment (CI) using validated internal outcome measures identified sustainable task-specific intervention effects up to three months after training cessation [20] and a curvilinear dose-response relationship, with most training gains allocated to the initial training phase and effects leveling off for further training sessions [27].

In summary, the aim of this study was to assess the effects of a 10-week task-specific motor-cognitive stepping exergame training on stepping performance using comprehensively validated internal outcome measures and to investigate the sustainability of training gains in older adults. Based on previous findings on the dose-response relationship and the sustainability of non-stepping exergame-based balance training in older persons with CI [20, 27], we hypothesized that significant and sustainable task-specific improvements in stepping performance can be achieved with a restricted training frequency and duration (1 × 20 min/week) in older persons without CI.

Methods

Study design

The study was designed as a single-blinded (assessor) RCT with a 10-week intervention and 10-week follow-up period (trial registration: ISRCTN14855620). The study protocol was approved by the Ethics Committee of the Medical Faculty of Heidelberg in accordance with the Helsinki Declaration (protocol number: S-242/2015).

Study population

Participants were recruited through direct contact from an ambulant geriatric rehabilitation sports club for older persons with limited functional status (REGE e.V.), which is associated to a German geriatric hospital. Inclusion criteria were as follows: 60 years or older [28]; no CI (Mini-Mental State Examination [MMSE] score ≥ 24) [29]; ability to walk independently with or without walking aid; no uncontrolled or terminal neurologic, cardiovascular, metabolic or psychiatric disorder, and written informed consent. Eligible participants were randomly assigned, stratified by sex, to the intervention (IG) or control group (CG) using an urn design for clinical trials [30]. A person unrelated to the study performed the randomization procedure.

A power analysis conducted with G*Power version 3.1.9.2 [31] for a repeated-measures design with two measurements, two groups, a correlation between repeated measures of 0.5, a two-sided significance level (α) of 0.05 and a power (1-β) of 0.95 revealed that a sample size of 54 participants is required to detect a moderate effect (ηp2 > .0588). Considering potential drop-outs during the intervention period, the sample size was set to 58 participants. The assumption of moderate effects was based on a comparable RCT on the effectiveness of a exergame-based balance training in older persons with CI [20].

Intervention

Both the IG and CG continued to engage in their weekly strength and balance exercises in the ambulation rehabilitation sports club over the entire 20-week study period, with one session à 90 min per week.

Participants allocated to the IG additionally received a 10-session individual supervised exergame-based stepping training during the intervention period for 20 min each training session. The stepping exergame was performed on an interactive training device (Impact Dance Platform, Positive Gaming BV, BZ Haarlem, Netherlands) – a pressure sensitive plate (87.5 × 87.5 × 2.5 cm) running with a game software developed by Dividat® (Dividat AG, Schindellegi, Switzerland) and connected to a laptop and a monitor by a USB port (Fig. 1). Participants’ step position and step timing were tracked by contact sensors located within pressure sensitive areas marked with an arrow corresponding to the direction of the step (forwards, backwards, right, left). To play the game, participants were standing on the central section of the platform, feet closely parallel. The arrangement of squares on the platform was reproduced on the screen. Steps were cued by squares randomly moving from the central position to one of the four static squares (Fig. 2). When executing the indicated steps, participants had to meet the point in time when a moving square was superimposed on a static one. Before conducting the next step, participants had to return to the central position. Visual feedback was provided real-time after each step. The game included 10 levels à 60 s, split in two sub-sessions. In sub-session 1, progressive difficulty was achieved by increasing the task rate, as well as by additional step directions involved in the level (Table 1). Sub-session 2 additionally included randomly-presented tasks targeting inhibitory control: Participants had to restrain reaction when instead of a moving square a triangle appeared (levels 6–9), and to react also to moving triangles if static squares switched to triangles (level 10). During each exergame training session, participants trained the different levels of the sub-session in a standardized sequence, starting with the lowest level and moving to higher levels. The decision point for moving to a higher level in both sub-sessions was set at a minimum of 50% of successfully executed actions (steps) conducted in the indicated direction within 320 ms, or successful inhibitions within a level. All participants were instructed and supervised by a medical student who had been adequately trained in the training procedure. Training instructions were standardized across all participants and training sessions. During the training sessions, no physical or verbal assistance was allowed. Game performance was documented at each training session.

Fig. 1
figure 1

Participant performing stepping exergame tasks on the pressure sensitive platform

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Fig. 2
figure 2

Stepping exergame task cueing a forward step. (from Litz et al. Games Health J 2019 [19], with permission of Mary Ann Liebert, Inc. Copyright© 2019 Mary Ann Liebert, Inc.)

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Fig. 3
figure 3

Flow chart for screening, recruitment, allocation, intervention, follow-up, and data analysis

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Table 1 Task rates, stepping directions and inhibition tasks of the different stepping exergame levels
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Descriptive measures

Demographic and clinical characteristics, including age, gender, years of education, and falls in the previous 6 months were obtained by standardized interview. Body-Mass-Index (BMI) and numbers of medications were documented from medical records. Cognitive status was assessed by the MMSE [29], fear of falling by the short version of the Falls Efficacy Scale International (FES-I) [32], and health-related quality of life by the 12-item Short Form Health Survey (SF-12) [33]. Functional performance was measured by the Short Physical Performance Battery (SPPB) [34], with a SPPB score of ≤10 pt. indicating moderate functional limitations [35, 36].

Exergame-based outcome measures

Exergame measurements were conducted before randomization (T1), at the end of the 10-week training period (T2) and at a 10-week follow-up (T3) by a blinded assessor trained in the test procedures. Identical stepping exergame tasks were used for training and assessment purposes. The assessment strategy specifically tailored to the specific training tasks included outcome measures directly derived from the internal game-based data stream, which has previously successfully and comprehensively validated in older adults, showing good feasibility, test-retest reliability and construct validity, as well as excellent sensitivity to change [19]. Primary outcome measures were defined as stepping reaction time (SRT) and game scores. SRT was specified as a deviation of step execution time from the exact superimposition of the squares or triangles on the target area and was measured in milliseconds. For each level the SRT was documented as a mean of all SRT values for this level. Depending on SRT, each stepping action was scored ranging from 0 to 5 points (SRT < 40 ms = 5 pt.; 40–80 ms = 4 pt.; 81–160 ms = 3 pt.; 161–240 ms = 2 pt.; 241–320 ms =1 pt.; > 320 ms = 0 pt), or for a step conducted earlier or in other direction than indicated in the task. Inhibition tasks were scored 1 or 0. Similar to the training procedure, exergame measurements started in both sub-sessions with the lowest level and progressed to higher levels when the participant successfully completed a level. The completion criterion for each level was the same as the decision point for moving to a higher level during the training procedure as described above (≥50% successful actions). Level adjustment ensured that the task difficulty matched participants’ individual performance. To provide the sample with an adequate overall challenge level, the stepping exergame was pretested in a pilot before the intervention. At the beginning of each exergame measurement, participants completed a practice sequence to ensure comprehension of the exergame tasks. Assessment instructions were strictly standardized across all participants.

Training adherence was documented as percentage of participants completing > 75% of sessions during the intervention period (attending ≥8 sessions out of a planned 10-session training [25].

Statistical analysis

Descriptive data were presented as frequencies and percentages for categorical variables, and means and standard deviations (SD) or medians and interquartile ranges (IQR) for continuous variables. SRT data was log-transformed to satisfy the normality assumption for statistical analysis. For each game level, a mean SRT and a game score in percent (calculated as the participants’ level score divided by the highest possible score in this level) were computed. In addition, the mean SRTs and game scores for sub-session 1, sub-session 2 and all games levels were averaged to yield (sub-)total scores for the overall stepping performance. Taking into account the individual changes in the stepping performance of each participant over time, these (sub-)total scores were calculated for all measurement time points based on the level achieved at baseline. Statistical analyses were performed using IBM SPSS version 24.0 for Windows (IBM Corporation, Armonk, NY, USA). Unpaired t-tests, Mann-Whitney-U-tests and chi-square-tests were used as appropriate for between-group comparisons in baseline participant characteristics and training adherence. Analyses of covariance (ANCOVAs) for each game level and (sub-)total score with baseline value as covariate were used to test for significant differences between the IG and CG in absolute changes in outcome measures over the intervention period (T1-T2) and the total observation period (T1-T3). ANCOVAs for the separate observation periods were performed using an available-case approach including all participants with available data after the intervention (T2) and at the follow-up (T3), respectively (main analyses). In addition, supplementary intention-to-treat analyses for each game level and (sub-)total score were implemented, with multiple imputation (fully conditional specification [chained equations] [37], five imputations, ten iterations) to account for missing values in primary outcome measures over time. Multiple imputation models included all baseline participant characteristics (age, gender, education, falls, BMI, medications, MMSE, FES-I, SF-12, SPPB), group allocation, training adherence, and relevant outcome measures. Parameter estimates obtained from multiple imputation were either presented as pooled data as provided by SPSS or averaged over the five imputations to obtain individual estimates. Effect sizes were given as partial eta squared (ηp2) and interpreted using Cohen’s thresholds: ηp2 > .0099 (small effect), ηp2 > .0588 (moderate effect) and ηp2 > .1379 (large effect) [38]. Statistical significance was set at p < 0.05.

Results

Recruitment and adherence

Detailed information on screening, enrollment and drop-outs is given in Fig. 3. Members of the ambulant geriatric rehabilitation sports club (n = 148) were screened for eligibility, with 58 being subsequently enrolled and randomly assigned to the IG (n = 29) or CG (n = 29). Nine participants (15.5%) dropped out (IG: n = 5 [17.2%], CG: n = 4 [13.8%]; p = 0.717). Drop-outs were related to serious medical events (n = 6) and lack of motivation (n = 1). No falls or other critical events occurred during the stepping exergame training, and all serious medical events were not directly or indirectly attributable to the stepping exergame. Comparisons of participants who stayed in the study with those who dropped out revealed no significant differences for descriptive variables at baseline in both study groups (IG: p = 0.065–0.880; CG: p = 0.055–0.964). During the intervention period, 62.1% of participants in the IG and 75.0% of participants in the CG attended ≥8 out of 10 planned training sessions, with no significant between-group differences (p = 0.294).

Participant characteristics

Fifty-eight community-dwelling, cognitively intact older adults with on average moderate functional limitations and relevant comorbidities participated in the study (Table 2). Except for the MMSE, no significant differences at baseline between the IG and the CG were found for descriptive variables. The one-point between-group discrepancy in the MMSE score does not represent a clinically relevant mean difference [39], with all participants having no CI as defined by the inclusion criterion of a MMSE score ≥ 24.

Table 2 Participant characteristics
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Effects of the intervention

Significant improvements in the IG compared to the CG were observed for most SRT outcomes over the intervention period (available-case analysis; Table 3). As an effect of the stepping exergame training, the SRTs significantly decreased in almost all levels without inhibition tasks (sub-session 1, level 1–4: p ≤ 0.001–0.036, ηp2 = 0.120–468), except for the most complex level (p = 0.955, ηp2 < 0.001). In the levels with inhibition tasks (sub-session 2), significant between-group changes over the intervention period in favor of the IG were only found in the initial level 6 (p = 0.039, ηp2 = 0.090) and the most complex level 10, (p = 0.001, ηp2 = 0.341). All (sub-)total SRT scores significantly improved in the IG compared to the CG, with overall large effect sizes (p ≤ 0.001–0.003, ηp2 = 0.341–0.445).

Table 3 Effects of the stepping exergame training on stepping reaction time [ms] (available-case analysis)
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Significant improvements in favor of the IG compared to the CG were also obtained for most game score outcomes (available-case analysis; Table 4). Games scores significantly increased in the first three levels of sub-session 1 (level 1–3: p = 0.001–0.006, ηp2 = 0.141–0.232). In the levels of sub-session 2, significant improvements in games scores were observed for level 7 (p = 0.005, ηp2 = 0.154) and the most complex level 10 (p = 0.011, ηp2 = 0.185). All (sub-)total game scores significantly improved as an effect of the stepping exergame, with overall large effect sizes (p ≤ 0.001, ηp2 = 0.185–0.364).

Table 4 Effects of the stepping exergame training on game scores [%] (available-case analysis)
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Results of the intention-to-treat analysis were comparable to those found in the available-case analysis. Significant improvements in the IG compared to the CG were observed for SRTs and/or game scores in levels 1, 2, 4, 6, 7 and 10 (p = 0.003–0.047, ηp2 = 0.070–0.208) and for all (sub-)total scores (p ≤ 0.001–0.028, ηp2 = 0.088.-0.208). Additional files 1 and 2 provided the detailed results of the intention-to-treat analysis.

Completion rates were high for the lowest levels of the sub-sessions (level 1 and 6 = 100%), but expectedly decreased throughout the game levels with progression to more advanced sub-session levels, leading to subsample variation between distinct game levels (Tables 3 and 4). The completion rate in sub-session 1 decreased to a higher extent with increasing level than that in sub-session 2.

Sustainability of effects

Training-induced improvements in SRT and game score outcomes were sustained 10-weeks after training cessation for individual levels, for total sub-sessions, and for the total session (available-case analysis; Tables 3 and 4).

Significant sustained effects of the stepping exergame training on the SRT at follow-up were observed for the levels 3 (p = 0.033, ηp2 = 0.127) and level 4 (p = 0.017, ηp2 = 0.193) without inhibition tasks (sub-session 1). No significant between-group changes were found in the levels 6–10 (sub-session 2) with inhibition tasks (p = 0.115–0.707, ηp2 = 0.005–0.054). All (sub-)total SRT scores were still significantly improved or tended to be improved at follow-up in the IG as compared to the CG, with moderate effect sizes (p = 0.012–0.056, ηp2 = 0.077–0.131).

Game scores without inhibition tasks showed a trend to sustained moderate effects of the stepping exergame training for the levels 3 and 4 as well as for the total sub-session but missed the level of significance (p = 0.063–0.104, ηp2 = 0.073–0.092). A trend to sustained moderate effects were also observed for the game scores in level 7 (p = 0.126, ηp2 = 0.051) and level 8 (p = 0.070, ηp2 = 0.073). The (sub-)total game scores for sub-session 2 (p = 0.016, ηp2 = 0.122) and the total session (p = 0.008, ηp2 = 0.142) showed significantly sustained training gains in the IG compared to the CG, with moderate to large effect sizes.

Results of the intention-to-treat analysis were comparable to those found in the available-case analysis (see Additional files 1 and 2). Significant sustained improvements in the IG compared to the CG were observed for the SRTs in level 3 and 4 (p = 0.012–0.056, ηp2 = 0.077–0.131), and all (sub-)total SRT and games scores were also still significantly improved or showed a trend to be still improved at follow-up (p = 0.019–.0.118, ηp2 = 0.044–0.202).

Discussion

The study demonstrates that the added stepping exergame training effectively improves performance in complex motor-cognitive stepping exergame tasks in older adults. Training-induced gains were maintained 10 weeks after training cessation, indicating the long-term effectiveness of the stepping exergame training to sustainably improve exergame-based stepping performances which may be highly relevant for avoiding falls. To the best of our knowledge, this is the first study to provide data on the effectiveness and sustainability of a stepping exergame training in improving complex motor-cognitive stepping performances assessed by comprehensively validated internal outcome measures [19].

The design of the present study stands out with a rather short training period (10 weeks), a limited duration of the single training sessions (1 × 20 min/week) and the fact that the training was embedded in an effective strength and functional training with a control group performing an identical training except for the specific stepping exergame training to be evaluated. The present results therefore differ from other studies with focus on mere effectiveness of training programs testing single effects. However, the potential use case of instrumented (and therefore expensive) exergame training would be group training sessions in medical rehabilitation settings, sports clubs, or commercial locations. Exergame training in such settings would mainly be used in addition to other forms of training with a specific additional focus on motor-cognitive training and as a motivational approach attractive for persons which may otherwise not take part in established training activities. With the present study design we mimic such a real-life scenario, testing effects in addition to established training programs. However, this realistic scenario is dealt for a control group representing a high challenge setting high stakes with respect to achieve significant between group differences for any additional training effect that require a high specificity of tasks as in a demanding motor- cognitive training via stepping exergame tasks not represented in established training programs.

Effects of the intervention

After undertaking the stepping exergame training, older people substantially improved their performance in stepping exergame tasks targeting the interaction between multiple domains of sensory, cognitive and motor functioning highly relevant for maintaining dynamic postural control and avoiding falls [18]. The complex motor-cognitive tasks used in the stepping exergame combine volitional stepping training as one of the most effective strategies in fall prevention [13, 40] with cognitive demands associated with fall risk, such as reaction time, perceptual speed and visuospatial attention, and additional response inhibition components [41,42,43]. The substantial improvements in these complex motor-cognitive tasks, as documented by large effect sizes for SRT and game scores, were observed after a relatively short training period of 10 weeks with a once-weekly session of 20 min and limited training adherence. This finding suggests that an excellent response in a training program with high potential for improving stepping performances relevant for avoiding falls can be achieved already with a low training frequency and short training period. Furthermore, it confirms previous research showing that the addition of this stepping exergame training component complements the effects of conventional balance training [44].

In sub-session 1, significant training effects were observed for levels with low to moderate complexity, but not for those with the highest complexity. This finding could be caused by the lower statistical power resulting from the smaller sample sizes in these more complex levels. As a result of piloting and defining an appropriate entry level of difficulty for a sample of older adults with functional limitations, excellent completion rates with no floor effects were achieved for the initial levels. However, due to the progression of task difficulty according to the individual performance of each participant, completion rates decreased throughout the levels with progression to more complex levels. Such an assessment approach with entry difficulty levels based on pilot pretests and progression of difficulty has already been successfully used for an exergame-based assessment with comparable level structure in older adults with CI [20]. This approach prevents ceiling effects for the higher functioning participants and enables the assessment of the individual upper maximum performance levels of each participant (‘testing the limits paradigm’),

In sub-session 2, participants had either to inhibit a stepping reaction when moving triangles appeared instead of squares, or to react also to moving triangles if static squares switched to triangles. As response inhibition during stepping has been identified as an independent risk factor for falls [9], these exergame tasks, in which participants had to deal with several distractors under challenging cognitive load while performing appropriately timed step movements, had been included in this study. Compared to sub-session 1, training effects in these combined stepping and response inhibition tasks were lower. This might be explained by a potential ceiling effect across the levels of sub-session 2. The task structure of these levels demanded participants to restrain reactions for inhibiting irrelevant task stimuli, which might have favored the performance of low and high-functioning participants due to the possibility of unconscious, but correct non-reactions. In line with this assumption, more participants met the level completion criteria and reached higher levels in sub-session 2. This might have led to high performances prior to and after the intervention, limiting the room of improvements and the potential impact of the intervention on the levels of sub-session 2.

As documented by the predominantly large to very large training effects on the (sub-)total SRT and game score outcomes for both sub-sessions, this study documents the effectiveness of the stepping exergame training to substantially improve the overall exergame-based stepping performance in a sample of older adults with on average moderate functional limitations and relevant comorbidities. Our results correspond to those reported in previous studies for the effects of stepping exergame interventions on the stepping performance of older adults, in which, however, stepping performance was assessed by not comprehensively validated ‘internal outcome measures’, while the sample included higher functioning older adults [14, 15].

Sustainability of effects

Training gains decreased after cessation of the stepping exergame training, but the significant moderate to large effects observed for the stepping performance in individual levels as well as for the overall stepping performance in the sub-sessions and total session at follow-up indicated the sustainability of the motor-cognitive stepping exergame training for at least a 10-week period. Although the evaluation of long-term effects after training cessation is crucial to ensure the real benefit and practical value of exergame interventions [20], surprisingly previous RCTs have not yet evaluated the sustainability of a stepping exergame intervention on the stepping performance in older adults [14,15,16, 26]. To the best of our knowledge, this is the first study to report sustainable improvements in complex motor-cognitive stepping exergame tasks that address an interaction of sensory, cognitive and motor skills like that required to avoid falls in everyday life. These findings are in line with a RCT in older adults that integrated virtual stepping exercises in one of the treatment arms, in addition to strength and balance exercises, showing effects up to one year following this combined on both motor and cognitive fall-related outcomes [45, 46]. Remarkably, the sustainable improvements in our study were observed after a relatively short training period with a rather low training frequency, suggesting the high practical value of the motor-cognitive stepping exergame training to represent an effective training measure to sustainably reduce fall risk factors in older adults.

Limitations

The study has some limitations. First, the completion rates decreased with progression to more complex levels, which limited the statistical power due to smaller sample sizes for these levels. Due to the level structure of the exergame, this pattern of completion rates was, however, expected and ensured the assessment of each participant’s individual maximal performance by progressive difficulty levels to prevent floor and ceiling effects [20, 27]. Second, the study sample comprised cognitively intact older adults with low-to-moderate functional limitations, so our findings cannot be generalized to more frail older people with CI. Third, participants were predominantly females, limiting the generalizability of our findings to males. However, we do not expect gender differences in training response to the stepping exergame training. Fourth, although we performed a highly task-specific stepping exergame training and used an assessment strategy specifically developed to document the specific intervention effects of this training, time-related effects due to the different time spent in training session by the IG and CG cannot be completely excluded. Finally, we did not include secondary, generic outcome measures such as functional or psychological status not documented effects on number of falls. Although these outcomes were not included in the study aim, the clinical relevance of training gains may therefore not be proven by the present study results.

Conclusions

The results of this study demonstrate that a stepping exergame training can sustainably improve the performance in complex motor-cognitive stepping exergame tasks targeting the interplay between dynamic postural control, sensory functions and different cognitive subdomains that are highly relevant to initiate step responses to prevent falls in everyday life. This study is the first to document the effectiveness and sustainability of such a training program on the stepping performance in older adults using comprehensively validated, highly task-specific internal outcome measures. By effectively improving relevant cognitive, motor and sensory performances, the stepping exergame training might represent an effective and sustainable training measure to reduce the fall risk of older adults. Further studies with larger sample sizes are needed to allow for the evaluation of potential sustainable effects on fall risks and falls and the transfer of task-specific training effects to non-trained generic motor or cognitive domains.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

ANOVA:

Analysis of variance

BMI:

Body-Mass-Index

CI:

Cognitive impairment

CG:

Control group

FES-I:

Falls Efficacy Scale International

IG:

Intervention group

IQR:

Interquartile range

MMSE:

Mini-Mental State Examination

RCT:

Randomized controlled trial

REGE:

Geriatric rehabilitation sports club

SD:

Standard deviation

SF-12:

12-item Short Form Health Survey

SPPB:

Short Physical Performance Battery

SRT:

Stepping reaction time

References

  1. Thelen DG, Wojcik LA, Schultz AB, Ashton-Miller JA, Alexander NB. Age differences in using a rapid step to regain balance during a forward fall. J Gerontol A Biol Sci Med Sci. 1997;52(1):M8–13. https://doi.org/10.1093/gerona/52a.1.m8.

    CAS  Article  PubMed  Google Scholar 

  2. Pai YC, Rogers MW, Patton J, Cain TD, Hanke TA. Static versus dynamic predictions of protective stepping following waist-pull perturbations in young and older adults. J Biomech. 1998;31(12):1111–8. https://doi.org/10.1016/s0021-9290(98)00124-9.

    CAS  Article  PubMed  Google Scholar 

  3. Yamada M, Higuchi T, Tanaka B, Nagai K, Uemura K, Aoyama T, Ichihashi N. Measurements of stepping accuracy in a multitarget stepping task as a potential indicator of fall risk in elderly individuals. J Gerontol A Biol Sci Med Sci. 2011;66(9):994–1000. https://doi.org/10.1093/gerona/glr073.

    Article  PubMed  Google Scholar 

  4. Tseng S-C, Stanhope SJ, Morton SM. Impaired reactive stepping adjustments in older adults. J Gerontol A Biol Sci Med Sci. 2009;64(7):807–15. https://doi.org/10.1093/gerona/glp027.

    Article  PubMed  Google Scholar 

  5. Maki BE, McIlroy WE. Control of rapid limb movements for balance recovery: age-related changes and implications for fall prevention. Age Ageing. 2006;35(suppl_2):ii12–8. https://doi.org/10.1093/ageing/afl078.

    Article  PubMed  Google Scholar 

  6. Potocanac Z, Smulders E, Pijnappels M, Verschueren S, Duysens J. Response inhibition and avoidance of virtual obstacles during gait in healthy young and older adults. Hum Mov Sci. 2015;39:27–40. https://doi.org/10.1016/j.humov.2014.08.015.

    Article  PubMed  Google Scholar 

  7. Lord SR, Fitzpatrick RC. Choice stepping reaction time: a composite measure of falls risk in older people. J Gerontol A Biol Sci Med Sci. 2001;56(10):M627–32. https://doi.org/10.1093/gerona/56.10.m627.

    CAS  Article  PubMed  Google Scholar 

  8. Melzer I, Kurz I, Shahar D, Levi M, Oddsson L. Application of the voluntary step execution test to identify elderly fallers. Age Ageing. 2007;36(5):532–7. https://doi.org/10.1093/ageing/afm068.

    CAS  Article  PubMed  Google Scholar 

  9. Schoene D, Delbaere K, Lord SR. Impaired response selection during stepping predicts falls in older people-a cohort study. J Am Med Dir Assoc. 2017;18(8):719–25. https://doi.org/10.1016/j.jamda.2017.03.010.

    Article  PubMed  Google Scholar 

  10. Ejupi A, Brodie M, Gschwind YJ, Schoene D, Lord S, Delbaere K. Choice stepping reaction time test using exergame technology for fall risk assessment in older people. Conf Proc IEEE Eng Med Biol Soc. 2014;2014:6957–60. https://doi.org/10.1109/embc.2014.6945228.

    Article  Google Scholar 

  11. Melzer I, Kurz I, Shahar D, Oddsson LI. Do voluntary step reactions in dual task conditions have an added value over single task for fall prediction? A prospective study. Aging Clin Exp Res. 2010;22(5–6):360–6. https://doi.org/10.1007/bf03324940.

    Article  PubMed  Google Scholar 

  12. Schoene D, Smith ST, Davies TA, Delbaere K, Lord SR. A stroop stepping test (sst) using low-cost computer game technology discriminates between older fallers and non-fallers. Age Ageing. 2014;43(2):285–9. https://doi.org/10.1093/ageing/aft157.

    Article  PubMed  Google Scholar 

  13. Okubo Y, Schoene D, Lord SR. Step training improves reaction time, gait and balance and reduces falls in older people: a systematic review and meta-analysis. Br J Sports Med. 2017;51(7):586–93. https://doi.org/10.1136/bjsports-2015-095452.

    Article  PubMed  Google Scholar 

  14. Schoene D, Lord SR, Delbaere K, Severino C, Davies TA, Smith ST. A randomized controlled pilot study of home-based step training in older people using videogame technology. PLoS One. 2013;8(3):e57734. https://doi.org/10.1371/journal.pone.0057734.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  15. Schoene D, Valenzuela T, Toson B, Delbaere K, Severino C, Garcia J, Davies TA, Russell F, Smith ST, Lord SR. Interactive cognitive-motor step training improves cognitive risk factors of falling in older adults - a randomized controlled trial. PLoS One. 2015;10(12):e0145161. https://doi.org/10.1371/journal.pone.0145161.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  16. Pichierri G, Coppe A, Lorenzetti S, Murer K, de Bruin ED. The effect of a cognitive-motor intervention on voluntary step execution under single and dual task conditions in older adults: a randomized controlled pilot study. Clin Interv Aging. 2012;7:175–84. https://doi.org/10.2147/CIA.S32558.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Morat M, Bakker J, Hammes V, Morat T, Giannouli E, Zijlstra W, Donath L. Effects of stepping exergames under stable versus unstable conditions on balance and strength in healthy community-dwelling older adults: a three-armed randomized controlled trial. Exp Gerontol. 2019;127:110719. https://doi.org/10.1016/j.exger.2019.110719.

    Article  PubMed  Google Scholar 

  18. de Bruin ED, Schoene D, Pichierri G, Smith ST. Use of virtual reality technique for the training of motor control in the elderly. Some theoretical considerations. Z Gerontol Geriatr. 2010;43(4):229–34. https://doi.org/10.1007/s00391-010-0124-7.

    Article  PubMed  Google Scholar 

  19. Litz E, Ball C, Jansen CP, Werner C, de Bruin E, Hauer K. Validation of a motor-cognitive assessment for a stepping exergame in older adults: use of game-specific, internal data stream. Games Health J. 2019. https://doi.org/10.1089/g4h.2019.0081.

  20. Wiloth S, Werner C, Lemke NC, Bauer J, Hauer K. Motor-cognitive effects of a computerized game-based training method in people with dementia: a randomized controlled trial. Aging Ment Health. 2018;22(9):1124–35. https://doi.org/10.1080/13607863.2017.1348472.

    Article  PubMed  Google Scholar 

  21. Lamoth CJ, Alingh R, Caljouw SR. Exergaming for elderly: effects of different types of game feedback on performance of a balance task. Stud Health Technol Inform. 2012;181:103–7.

    PubMed  Google Scholar 

  22. Staiano AE, Calvert SL. The promise of exergames as tools to measure physical health. Entertain Comp. 2011;2(1):17–21. https://doi.org/10.1016/j.entcom.2011.03.008.

    Article  Google Scholar 

  23. van Diest M, Lamoth CJC, Stegenga J, Verkerke GJ, Postema K. Exergaming for balance training of elderly: state of the art and future developments. J Neuroeng Rehabil. 2013;10(1):101. https://doi.org/10.1186/1743-0003-10-101.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Molina KI, Ricci NA, de Moraes SA, Perracini MR. Virtual reality using games for improving physical functioning in older adults: a systematic review. J Neuroeng Rehabil. 2014;11:156. https://doi.org/10.1186/1743-0003-11-156.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Nyman SR, Victor CR. Older people's participation in and engagement with falls prevention interventions in community settings: an augment to the cochrane systematic review. Age Ageing. 2012;41(1):16–23. https://doi.org/10.1093/ageing/afr103.

    Article  PubMed  Google Scholar 

  26. Pichierri G, Murer K, de Bruin ED. A cognitive-motor intervention using a dance video game to enhance foot placement accuracy and gait under dual task conditions in older adults: a randomized controlled trial. BMC Geriatr. 2012;12:74. https://doi.org/10.1186/1471-2318-12-74.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Werner C, Rosner R, Wiloth S, Lemke NC, Bauer JM, Hauer K. Time course of changes in motor-cognitive exergame performances during task-specific training in patients with dementia: identification and predictors of early training response. J Neuroeng Rehabil. 2018;15(1):100. https://doi.org/10.1186/s12984-018-0433-4.

    Article  PubMed  PubMed Central  Google Scholar 

  28. United Nations, Department of Economic and Social Affairs, Population Division (2015) World population ageing 2015 (st/esa/ser.A/390). https://www.un.org/en/development/desa/population/publications/pdf/ageing/WPA2015_Report.pdf.

  29. Folstein MF, Folstein SE, McHugh PR. "mini-mental state". A practical method for grading the cognitive state of patients for the clinician. J Psychiatr Res. 1975;12(3):189–98. https://doi.org/10.1016/0022-3956(75)90026-6.

    CAS  Article  PubMed  Google Scholar 

  30. Wei L-J. A class of designs for sequential clinical trials. J Am Stat Assoc. 1977;72:382–6.

    Article  Google Scholar 

  31. Faul F, Erdfelder E, Lang A-G, Buchner A. G*power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–91. https://doi.org/10.3758/BF03193146.

    Article  PubMed  Google Scholar 

  32. Hauer K, Yardley L, Beyer N, Kempen G, Dias N, Campbell M, Becker C, Todd C. Validation of the falls efficacy scale and falls efficacy scale international in geriatric patients with and without cognitive impairment: results of self-report and interview-based questionnaires. Gerontology. 2010;56(2):190–9. https://doi.org/10.1159/000236027.

    CAS  Article  PubMed  Google Scholar 

  33. Ware J Jr, Kosinski M, Keller SD. A 12-item short-form health survey: construction of scales and preliminary tests of reliability and validity. Med Care. 1996;34(3):220–33. https://doi.org/10.1097/00005650-199603000-00003.

    Article  PubMed  Google Scholar 

  34. Guralnik JM, Simonsick EM, Ferrucci L, Glynn RJ, Berkman LF, Blazer DG, Scherr PA, Wallace RB. A short physical performance battery assessing lower extremity function: association with self-reported disability and prediction of mortality and nursing home admission. J Gerontol. 1994;49(2):M85–94. https://doi.org/10.1093/geronj/49.2.m85.

    CAS  Article  PubMed  Google Scholar 

  35. Vasunilashorn S, Coppin AK, Patel KV, Lauretani F, Ferrucci L, Bandinelli S, Guralnik JM. Use of the short physical performance battery score to predict loss of ability to walk 400 meters: analysis from the inchianti study. J Gerontol A Biol Sci Med Sci. 2009;64(2):223–9. https://doi.org/10.1093/gerona/gln022.

    Article  PubMed  Google Scholar 

  36. Vazzana R, Bandinelli S, Lauretani F, Volpato S, Lauretani F, Di Iorio A, Abate M, Corsi AM, Milaneschi Y, Guralnik JM, Ferrucci L. Trail making test predicts physical impairment and mortality in older persons. J Am Geriatr Soc. 2010;58(4):719–23. https://doi.org/10.1111/j.1532-5415.2010.02780.x.

    Article  PubMed  PubMed Central  Google Scholar 

  37. White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–99. https://doi.org/10.1002/sim.4067.

    Article  PubMed  Google Scholar 

  38. Cohen J (1988) Statistical power analysis for the behavioral sciences. L. Erlbaum Associates, Hillsdale, NJ.

  39. Burback D, Molnar FJ, St John P, Man-Son-Hing M. Key methodological features of randomized controlled trials of Alzheimer's disease therapy. Minimal clinically important difference, sample size and trial duration. Dement Geriatr Cogn Disord. 1999;10(6):534–40. https://doi.org/10.1159/000017201.

    Article  PubMed  Google Scholar 

  40. Sherrington C, Whitney JC, Lord SR, Herbert RD, Cumming RG, Close JC. Effective exercise for the prevention of falls: a systematic review and meta-analysis. J Am Geriatr Soc. 2008;56(12):2234–43. https://doi.org/10.1111/j.1532-5415.2008.02014.x.

    Article  PubMed  Google Scholar 

  41. Mirelman A, Herman T, Brozgol M, Dorfman M, Sprecher E, Schweiger A, Giladi N, Hausdorff JM. Executive function and falls in older adults: new findings from a five-year prospective study link fall risk to cognition. PLoS One. 2012;7(6):e40297. https://doi.org/10.1371/journal.pone.0040297.

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  42. Nagamatsu LS, Liu-Ambrose TYL, Carolan P, Handy TC. Are impairments in visual-spatial attention a critical factor for increased falls risk in seniors? An event-related potential study. Neuropsychologia. 2009;47(13):2749–55. https://doi.org/10.1016/j.neuropsychologia.2009.05.022.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Schoene D, Smith S, Delbaere K, Lord S. Poor performance in a test of selective attention, response inhibition and stepping is associated with falls in older people. J Aging Phys Act. 2012;20:S186–7.

    Article  Google Scholar 

  44. Schattin A, Arner R, Gennaro F, de Bruin ED. Adaptations of prefrontal brain activity, executive functions, and gait in healthy elderly following exergame and balance training: a randomized-controlled study. Front Aging Neurosci. 2016;8:278. https://doi.org/10.3389/fnagi.2016.00278.

    Article  PubMed  PubMed Central  Google Scholar 

  45. Eggenberger P, Theill N, Holenstein S, Schumacher V, de Bruin ED. Multicomponent physical exercise with simultaneous cognitive training to enhance dual-task walking of older adults: a secondary analysis of a 6-month randomized controlled trial with 1-year follow-up. Clin Interv Aging. 2015;10:1711–32. https://doi.org/10.2147/CIA.S91997.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Eggenberger P, Schumacher V, Angst M, Theill N, de Bruin ED. Does multicomponent physical exercise with simultaneous cognitive training boost cognitive performance in older adults? A 6-month randomized controlled trial with a 1-year follow-up. Clin Interv Aging. 2015;10:1335–49. https://doi.org/10.2147/CIA.S87732.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgements

We thank the staff of the REGE e.V. geriatric rehabilitation sports club for their assistance in supervising participants and organizational support for this study.

Funding

No funding was received for this study.

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Authors and Affiliations

  1. AGAPLESION Bethanien Hospital, Geriatric Center of Heidelberg University, Heidelberg, Germany

    Klaus Hauer, Elena Litz, Michaela Günther-Lange, Caroline Ball & Christian Werner

  2. Institute of Human Movement Sciences and Sport, Department of Health Sciences and Technology, ETH Zürich, HCP H 25.1, Leopold-Ruzicka-Weg 4, 8093, Zurich, Switzerland

    Eling D. de Bruin

  3. Division of Physiotherapy, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Huddinge, Sweden

    Eling D. de Bruin

  4. Center of Geriatric Medicine, Heidelberg University, Heidelberg, Germany

    Christian Werner

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  1. Klaus Hauer
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Contributions

KH: Study concept, design and management; supervision of data collection; and preparation of manuscript. EL: Acquisition of participants; study concept, design and management; data analysis. MGL: Acquisition of participants; study management; and raining administration. CB: Acquisition of participants; test administration; and data collection. EDB: Study concept and design. CW: Study concept and design; supervision of data collection; data analysis. All authors contributed to interpretation of data, drafting the article, and final approval of the manuscript to be published.

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Correspondence to Eling D. de Bruin.

Ethics declarations

Ethics approval and consent to participate

The study was conducted in accordance with the Declaration of Helsinki, and all procedures performed in this study have been approved by the Ethics Committee I of the Medical Faculty of Heidelberg University (S-242/2015). Written informed consent was obtained from all participants prior to study inclusion.

Consent for publication

Not applicable.

Competing interests

EDB was a co-founder of Dividat, the spin-off company that developed the videogames used in this study and is associated to the company as an external advisor. No revenue was paid (or promised to be paid) directly to EDB or his institution over the 36 months prior to submission of the work. KH, EL, MGL, CB, and CW do not have any commercial interest in the device nor were they paid for the study. No competing financial interests exist for all authors.

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Supplementary information

Additional file 1 Table S1.

Effects of the stepping exergame training on stepping reaction times [ms] (intention-to-treat analysis).

Additional file 2 Table S2.

Effects of the stepping exergame training on game scores [%] (intention-to-treat analysis).

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Hauer, K., Litz, E., Günther-Lange, M. et al. Effectiveness and sustainability of a motor-cognitive stepping exergame training on stepping performance in older adults: a randomized controlled trial. Eur Rev Aging Phys Act 17, 17 (2020). https://doi.org/10.1186/s11556-020-00248-4

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Keywords

  • Older adults
  • Exergame
  • Balance
  • Volitional stepping
  • Fall prevention

European Review of Aging and Physical Activity

ISSN: 1861-6909

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