Skip to main content

Effectiveness of exergames for improving mobility and balance in older adults: a systematic review and meta-analysis

Abstract

Background

Exergaming is a fun, engaging, and interactive form of exercising that may help overcome some of the traditional exercise barriers and help improve adherence on the part of older adults, providing therapeutic applications for balance recovery and functional mobility. The purpose of this systematic review is to summarize the effects of exergames on mobility and balance in older adults.

Methods

The PRISMA guidelines for systematic reviews were followed. The following databases were searched from inception to August 2019: Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, PEDro, CINAHL, and INSPEC. We selected randomized controlled trials that assessed the effects of exergames on balance or mobility of older adults without neurological conditions, in comparison to no intervention or health education. Two review authors independently screened the trials’ titles and abstracts and identified trials for inclusion according to the eligibility criteria. An almost perfect agreement between the authors was observed with respect to interrater reliability of trial selection (kappa = 0.84; P < 0.001). We performed descriptive analysis of the quantitative data to summarize the evidence. Meta-analysis was carried out using RevMan. A random effects model was used to compute the pooled prevalence with 95% confidence intervals.

Results

After screening 822 records, 12 trials comparing exergames with no intervention were included. A total of 1520 older adults participated in the studies, with a mean age of 76 ± 6 years for the experimental group and 76 ± 5 years for the control group. Quantitative synthesis showed significant improvements in balance and mobility based on the center of pressure sway (SMD = − 0.89; 95%CI = − 1.26 to − 0.51; P = 0.0001; I2 = 58%), Berg Balance Scale (MD = 2.15; 95%CI = 1.77 to 2.56; P = 0.0001; I2 = 96%), and on Timed Up and Go test (MD = − 2.48; 95%CI = − 3.83 to − 1.12; P = 0.0003; I2 = 0).

Conclusions

Exergames improved balance and mobility in older adults without neurological disorders and motivate patients to keep performing balance exercises. High quality studies with standardized assessment protocols are necessary to improve the strength of the evidence.

Peer Review reports

Background

Systemic changes that come along with aging lead to impairments in older adults’ postural balance and mobility. The decline in visual acuity, reduction in proprioceptive sense, and slowness in the center of mass responses are examples of findings that combine, compromise static and dynamic balance, spatial orientation, and movement precision [1, 2], which increases the risk of falls.

Falls are a major public health problem in the older population [3,4,5], and fall-related injuries are a leading cause of death, disability, and healthcare costs [6]. Approximately one-third of older adults (age ≥ 65 years) fall once a year, and half of them are likely to fall again in the subsequent year [7]. The incidence of falls varies among countries. For example, the percentage of older adults that fall each year is 6–31% in China, 20% in Japan, 22% in Barbados, and 34% in Chile [8].

The consequences of falls reflect not only physical impairments but in the quality of life and social interactions [6]; thus, gait and balance adjustments are essential for mobility and independence, and impairments increase the risk of falls in older adults [5, 9]. A variety of interventions are designed to retain and restore gait and balance in older adults [10]; most of these treatments involve exercises. However, low adherence to traditional exercise and physical activity on the part of older adults is associated with kinesiophobia, fear of injury, and lack of motivation [11].

One approach to improve gait and balance involves virtual reality (VR)-based exercises, also known as exergames. Exergames involve constant self-correction [12] providing therapeutic applications for gait and balance recovery, executive function stimulation, and multitask training [13]. During exergames, the user interacts with the game scenario, stimulating sensorial, cognitive, psychological, and motor functions [14, 15]. As a fun, engaging, and interactive form of exercising [16], exergames help improve adherence in older adults [17] and help overcome some of the traditional exercise barriers such as lack of motivation and negative perception of exercise outcomes [18].

A variety of commercial and low-cost exergames have been used with older adults in health care settings [19]. Microsoft® Xbox games (Washington, USA) use Kinect sensors and require motor control because the player only succeeds in the game if the movements are performed appropriately. The use of Kinect games works to improve balance in older adults, even when the games were played with emphasis only on upper limb movements [20]. The Nintendo® Wii (Kyoto, Japan) is the most commonly used exergame platform for balance training in older adults because it includes the Wii Balance Board [21, 22]. Significant balance improvement was found in Nintendo® Wii users compared with the control groups [21].

In addition to the popularity of commercial exergames in rehabilitation settings, a variety of exergames have been developed for therapeutic purposes and are called “serious games.” Serious games combine features that provide immersion and high concentration in which the player becomes absorbed in the game, creating personal experiences and a balance between skills and challenges. Serious games offer a state of perception of an individuals’ needs for mastery, autonomy, connectedness, arousal, fun, fantasy, or challenge [23].

The impact of exergaming on the postural balance in older adults has been reported [24]. For neurological conditions, there is some evidence of the effectiveness of exergames in improving balance as supplemental therapy to standard rehabilitation of stroke patients [25] and those with Parkinson disease [26]. For older adults without neurological diagnoses, a variety of studies have been developed; nevertheless, these have yielded inconsistent findings. A systematic literature review on this topic included studies with active and non-active control groups and various study designs, including crossover, case controlled, quasi-experimental, and non-randomized trials [27]. Another study assessed the effects of exergames combined to other therapies on Timed Up and Go test (TUG), the Falls Efficacy Scale (FES), and Activities-Specific Balance Confidence (ABC) [28]. A more recent study described the effects of exergaming on a population of frail older adults [29].

In the context of the inconsistency and variability in selection criteria among previous studies, the aim of this systematic review was to integrate and summarize the effects of exergames on mobility and balance in comparison to no exercise or health education in older adults without neurological conditions.

Methods

This systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (see Additional File 1) for systematic reviews [30].

Eligibility criteria

The PICO criteria (participants, interventions, comparisons, and outcomes) were used to select the studies. This review included studies that (i) were randomized controlled trials (RCT); (ii) were conducted in community-dwelling men and/or women aged 60 and older; (iii) only included older adults without neurological conditions such as stroke, Parkinson’s disease, peripheral neuropathies, or neuromuscular diseases; (iv) used exergames (commercial or serious games) to improve mobility or balance in older adults; (v) compared the effects of the exergames to no intervention (e.g., no physical exercise) or to health education, or cognitive exercises with no physical activity, and (vi) reported mobility and/or balance measures as primary outcomes. We excluded studies that were performed in long-term care facilities or that which combined exergame and conventional exercises in the experimental group or the active control group.

Intervention

We considered the following commercial games: physical exercises with Nintendo® Wii, Xbox®, and Playstation® that are the most commonly used commercial consoles in rehabilitation settings. We also included trials that used serious games developed specifically to treat impairments related to balance and functional mobility, including 3D immersive systems.

Outcomes

The primary outcomes assessed in this review were (i) postural balance measured using valid instruments such as Berg Balance Scale (BBS), center of pressure (CoP) parameters assessed by force platform, Tinetti balance test, Balance Master System, and Activities-Specific Balance Confidence (ABC); and (ii) functional mobility measured with physical performance instruments such as the Short Physical Performance Battery (SPPB), the Functional Reach Test (FRT), the Functional Gait Assessment (FGA), the 8-ft up and go test, the 30-s chair stand, and the Timed Up and Go test (TUG).

Secondary outcomes included (i) motivation (questionnaire or self-reported impression), (ii) safety (self-reported impression), (iii) adherence (questionnaire or self-report that described the level of adherence to virtual therapies), (iv) adverse effects (any kind of non-expected effects described in the studies including motion sickness, pain, injury, falls, and death), and (v) quality of life (questionnaire or self-report).

Database search

We searched the Cochrane Central Register of Controlled Trials, MEDLINE, EMBASE, PEDro, CINAHL and INSPEC. We also searched the following trial registries: the World Health Organization International Clinical Trials Registry Platform (www.who.int/trialsearch), ReBEC (http://www.ensaiosclinicos.gov.br), and ClinicalTrials.gov (www.clinicaltrials.gov). The search strategy was conducted using the PICO strategy (see Additional file 2). The search terms included (“Older adult” OR senior OR elder OR elderly OR aged OR “older person” OR “older people” OR gerontological OR geriatric) AND (“Virtual reality” OR exergames OR “videogame” OR “video game” OR Wii OR Kinect OR “balance board”) AND (Mobility OR “physical disability” OR “physical function” OR “physical performance” OR balance OR gait OR motor OR walk OR dizziness OR vertigo OR posture OR postural OR “physical fitness” OR “physical health”). We searched the reference lists of all included trials and any relevant systematic reviews identified for additional trials. We contacted experts and organizations to obtain additional information on relevant trials. Searches were not limited by date until August 2019, language, or publication status.

Selection of studies and data extraction

Two review authors (TP and CM) independently screened the titles and abstracts of the trials identified by the search. The same authors screened the full-text articles and identified trials for inclusion according to the eligibility criteria. Disagreements were resolved by a third review author (FC). The authors identified and excluded duplicate trials and multiple reports of the same trial. Table 1 displays almost perfect agreement between the authors with respect to interrater reliability of trial selection (kappa = 0.84; 95%CI = 0.66 to 1.0; P = 0.0001) [31]. The complete process is detailed in the PRISMA flow diagram (Fig. 1) [30].

Table 1 Interrater agreement between two assessors for study selection and risk of bias
Fig. 1
figure1

Flowchart for study selection

Data extraction and management

Two authors (CM, TP) extracted information from the included trials and transferred data into Review Manager 5.3 [32]. We piloted the data extraction form using a sample of studies to identify any missing or unclear items. We used a standardized data extraction form to record the following items: authors, funding source, notable conflicts of interest, study duration, method of recruitment, sample size, comparability of groups, age (mean and range), sex, characteristics of the exergame (type of immersion, type of the game, system), intervention duration, adherence, safety/adverse events, and outcomes measures (balance and functional mobility).

Assessment of risk of bias

The risk of bias of the included studies was assessed by two independent researchers (TP and CM) based on recommendations in the Cochrane Handbook for Systematic Reviews of Interventions [33]. The risk of bias was classified as “high,” “low,” or “unclear” based on sequence generation, allocation concealment, blinding of participants and personnel, blinding of outcome assessment, incomplete outcome data, selective outcome reporting, and other bias (Figs. 2 and 3). Table 1 displays the interrater reliability for risk of bias assessment [31]. Disagreements were resolved by consensus.

Fig. 2
figure2

Risk of bias graph, review authors’ judgements about each risk of bias item presented as percentages across all included studies

Fig. 3
figure3

Risk of bias summary, review authors’ judgements about each risk of bias item for each included study

Data synthesis

Given the considerable methodological heterogeneity of studies, some of them could not be combined by means of meta-analysis. Therefore, results were presented using descriptive synthesis. The descriptive synthesis was undertaken by one reviewer (TP) and crosschecked by two others (CM, FC). The description of the included studies were presented in a summary table considering their population, intervention, comparison and outcomes. The mean across studies regarding age, number of sessions, and the volume of therapy (number of sessions × duration) was descriptively reported in terms of mean ± standard deviation.

In addition, some data regarding the primary outcomes were included in the meta-analysis. For TUG and BBS outcomes, data was pooled in terms of mean difference (MD) with 95%CI, and for CoP sway, data were pooled in terms of standardized mean difference (SMD) with 95%CI to consider two test conditions: eyes open and closed. We used Review Manager 5.3 to calculate intervention effects [32]. To observe if differences in results were compatible with chance alone [33], the heterogeneity of trial results was calculated with the application of the Chi2 test within the forest plot (with a P value of 0.10 to indicate statistical significance) [33] and by applying the I2 statistic. We considered the I2 statistic with a value of 50% as a moderate level of heterogeneity [33]. The summary value for each study was described in forest plots. Due to heterogeneity, it was considered a random-effect model to determine the actual effects of the intervention.

Results

Study characteristics

The database search yielded 822 studies (Fig. 1). Three duplicated studies were removed. After analyzing the titles and abstracts, 761 of the studies did not meet the inclusion criteria. Of the remaining 58 studies, six were not available in full text. Review of the full texts of the remaining 52 studies resulted in the exclusion of an additional 40 that did not meet the inclusion criteria: 13 had an active control group (e.g., other types of exercise or therapy), 11 were not RCTs, four did not assess balance or mobility, five were conducted in long-term care facilities, four did not include older adults, one did not involve exergames, and two performed exergames combined with other interventions. We included the remaining 12 studies in the systematic review.

Participants and intervention characteristics

A total of 1520 older adults participated in the 12 studies, and 903 (61%) were women. One trial did not report the sex of the participants [34]. The mean age was 76 ± 6 years for the exergame group and 76 ± 5 years for the no exercise or health education group.

Regarding the exergame type, most studies used the commercial non-immersive Nintendo Wii ® system [5, 34,35,36,37,38,39,40,41]. The remaining studies used the following serious games: the Balance Rehabilitation Unit (BRUTM)—a customized rehabilitation program that contains an immersive environment in which the user wears three-dimensional glasses [42]; the LegSys™ (BioSensics LLC, Newton, MA, USA)—an interactive exergame interface with five wearable joint angle and position sensors [35]; and two studies used Kinect-based exergames—the iStoppfalls system [43], and the exergame program with the following serious games: apple game, tightrope standing, balloon popping, and one-leg stand [44].

The mean of time of exposure to exergames was 825 ± 342 min (number of sessions × duration of each session), ranging from 360 [35, 42] to 1440 min [5]. The mean number of sessions was 21 ± 10 varying from eight [35] to 48 [43], and duration varied from four [35] to 16 weeks [43].

Seven studies had no intervention as the comparison control group [5, 34, 35, 38,39,40, 44]. In one study, the control group performed cognitive exercises [37]; in another study, the control group wore ethylene vinyl acetate insoles in their shoes every day [36]. In three studies, the control group received education on falls prevention and physical activity [41,42,43]. The intervention characteristics are detailed in Table 2.

Table 2 Summary of studies

Outcomes

The instruments used to assess balance and mobility varied among studies. Three studies used the TUG [35, 36, 38] and the BBS [37, 38, 44]. Three used the 30-s stand test [5, 36, 44]. Two used the 8-ft up and go test [5, 40]. The other instruments used were the alternate step test [35], FRT [38], the ABC [37, 40], the Tinetti balance test and the unipedal stance test [41], and the Mini-BESTest and FGA [39]. The CoP-based balance parameters assessed using force plates were velocity [36], sway [34, 35, 42], and limits of stability [42]. Table 3 shows detailed information about CoP parameters. The trials included in the systematic review did not have enough data collected using the same mobility and balance instruments/tests to allow pooling of data for the calculation of summary statistics in a meta-analysis.

Table 3 Description of CoP assessment

Regarding secondary and descriptive outcomes, four studies reported adverse events [35,36,37, 39], two studies reported safety [35, 39], and five studies reported adherence [35, 37, 39, 42, 43]. With respect to other outcomes, two reported motivation [36, 39], two reported user experience [35, 39], two reported quality of life [5, 37], and one reported physical activity enjoyment [37].

Effects on balance

Considering the CoP-based variables, there was no significant effect of exergaming on CoP velocity (a decrease of 0.23 mm2/s; 95%CI = − 4.1 to 4.6; P = 0.92) [36]. However, Cho et al. [34] found a significant decrease of 50.2 cm (P < 0.01) in CoP excursion for eyes open and a decrease of 68.5 cm (P < 0.001) for eyes closed after the exergame intervention. Significant balance improvements were also observed in CoP sway area for eyes open (effect size = 0.23 cm2; P = 0.007) and for eyes closed (effect size = 0.14 cm2; P = 0.042 ), medio-lateral sway for eyes open (effect size = 0.19 cm; P = 0.016), medio-lateral sway for eyes closed (effect size = 0.21 cm; P = 0.012), and antero-posterior sway for eyes open (effect size = 0.20 cm; P = 0.015) [35] Improvements in limits of stability (effect size = 31%; P < 0.01) and CoP sway area were also reported (effect size = 33% and 52%; P < 0.01, for eyes closed on a hard surface and on foam, respectively) [42]. Figure 4a shows the pooled effects of exergames on CoP sway with eyes open and closed (SMD = − 0.93; 95%CI = − 1.52 to − 0.34; I2 = 58%; P = 0.0001).

Fig. 4
figure4

Effect of exergame in comparison to control group on the following outcomes: a) Center of Pressure sway. Note: * indicates the effect on CoP sway assessed in eyes closed condition and + indicates the same outcome assessed with eyes open. b) Berg Balance Scale; c) Timed up and Go. The squares indicate the study-specific effect estimate. Bars indicate the width of the corresponding 95%confidence interval. The diamond centered on the summary effect estimate, and the width indicates the corresponding 95% confidence interval

The effects of exergaming on the BBS were evaluated in three studies [37, 38, 44]. Padala et al. [37] reported a significant improvement in BBS scores after 4 and 8 weeks of exergaming (MD = 3.6; 95%CI = 2.3 to 4.8; P < 0.001 after 4 weeks, and MD = 5.5; 95%CI = 4.3 to 6.7; P < 0.001 after 8 weeks). Sato et al. [44] also found significant improvement in BBS scores in the exergame group in comparison to a control group; however, the effects were smaller (95%CI = 0.22 to 1.9; P < 0.01). Similarly, Jung et al. [38] found significant improvement in BBS scores in the Nintendo Wii exercise group compared to a control group (MD = 0.9; P < 0.001).

Figure 4b shows the effects of exergames considering the BBS score. In a total of 51 participants in the experimental groups versus 51 in the control group, the data suggested an effect in favor of the exergames with respect to postural balance assessed by BBS (MD = 2.46; 95%CI = 0.49 to 4.44; P = 0.0001; I2 = 96%).

With respect to other types of balance assessment, inconsistent findings were observed on the effect of exergames based on changes in the ABC scores [37, 40]. There was no difference between groups with respect to the Tinetti balance test [41].

Effects on mobility

The effects of exergames on TUG time were reported in three studies. Jung et al. [38] found a significant difference between groups with better TUG performance in the exergame group than in the control group (MD = − 2.7; P < 0.001). Similarly, Jorgensen et al. [36] reported a between group difference in TUG time of − 1.4 s (95%CI = − 2.5 to − 0.4; P = 0.01), and Schwenk et al. [35] also found a significant better performance in the TUG test in the exergame group (effect size = 0.17; P = 0.02). Figure 4c shows the effects of exergames considering the TUG test. There were a total of 50 participants in the experimental groups versus 53 in the control group. Data suggest an effect in favor of exergames regarding TUG (MD = − 2.48; 95%CI = − 3.83 to − 1.12) with no heterogeneity (I2 = 0%.).

Other instruments were used to assess mobility: For the 8-ft up and go test, it was observed significant improvements in favor to exergames (median = 8.8; min = 5.1; max = 23.44; P = 0.045) [40] and effect size = − 1.07 ± 0.74; P 0.01 [5]. For an alternate step test, it was reported an improvement of 19% (P = 0.037) [35]. For the 30-s chair stand test, the studies found a between-group difference of 1.1 (95%CI = 0.3 to 2.0; P = 0.01) [36] and an intragroup difference of 6.5 (95%CI = 4.6 to 8.4; P < 0.01) [44]. Vieira-Gomes et al. [39] presented significant intragroup increase for the Mini-BESTest (MD = 4; 95%CI = 2.09 to 5.91; P < 0.05) and for FGA (MD = 3.07; 95%CI = 1.46 to 4.67; P < 0.05); however, no between-group difference was observed. The studies that performed the FRT [38, 44] showed a significant improvement in exergame groups (MD = 2.2; P < 0.001 [38] and MD = 4.52; 95%CI = 30.46 to 49.9; P < 0.01 [44]). Maillot et al. [5] used the meters covered in the 6-m Walking Test to assess mobility, and it was observed a significant improvement in the exergame group (MD = 55.54; P < 0.01). In summary, they all found significant better mobility for the exergame groups in comparison to the control groups.

Adverse effects

Four studies that used Nintendo Wii® reported no adverse effects [35,36,37, 39]. The remaining studies did not mention adverse effects.

Adherence

The studies using Nintendo Wii® reported good adherence: 100% [37], 93% [35], and 80% [39]. The participants who did not adhere reported transportation issues, back pain, and unrelated medical issues. Similarly, studies that used the BRUtm [42] and the iStoppFalls system [43] reported a 97% and 81% adherence, respectively. The causes for lack of adherence were transportation issues [42], motivation, personal, health, and system-related issues [37].

Quality of life

Quality of life was investigated in two trials. Padala et al. [37] found no difference between the experimental and control groups in terms of SF-36 scores. Maillot et al. [5] found significant improvements in the social functioning (MD = − 0.88 ± 1.64; P = 0.01) and global mental health (MD = 4.25 ± 2.71; P < 0.01) domains of the SF-36 in the experimental group that played Nintendo Wii® games.

Safety

Safety information was extracted from the user experience questionnaire [35]. The older adults could answer “completely disagree” (0), “moderately disagree” (1), “neutral” (2), “moderately agree” (3), or “absolutely agree” (4) for ten statements. The following six were safety-related: “I never lost my balance while using the exercise technology” (4 ± 1). “I was afraid to tumble or to fall during the exercise” (0.2 ± 0.6). “I required balance support while conducting the exercises” (0.5 ± 1). “I feel that the exercises were going too fast for me” (0.2 ± 0.4). “Some of the movements were difficult to perform” (1 ± 0.9). “I felt safe using the exercise technology” (4 ± 0.4). Gomes et al. [39] used a “Game Satisfaction Questionnaire”. One of the questions was “Did you feel safe playing the games? If not, why?” All participants from the experimental group stated that they felt safe.

Motivation and enjoyment

One study investigated enjoyment [37], and two assessed motivation [36, 39] of the participants who played exergames in the Nintendo Wii®. Based on the Physical Activity Enjoyment Scale (PACES), 83% of the participants rated the Wii-Fit to be high on the measure of pleasure, 75% considered the Nintendo Wii® as fun, 75% considered pleasant, 67% rated it as invigorating, 83% as gratifying, 83% as exhilarating, 92% as stimulating, and 92% as refreshing. Motivation was assessed using a Likert scale for the sentence [36] “I find the Nintendo Wii training both fun and motivating”, and 70% of the participants strongly agreed, 25% agreed, and 5% were undecided. The “Game Satisfaction Questionnaire” assessed motivation using two questions [39]: “Did you feel motivated to play the games?” and “Would you like to play the games with someone?”, and 83% of the participants said they were “very motivated” and would like to play the games with someone, and 17% said they were “motivated” and would not play with someone.

Risk of bias in the included studies

The risk of selection bias was low in five of the twelve studies [35,36,37, 39, 43] for both sequence generation and for allocation concealment. Four studies showed an unclear risk of bias for sequence generation [34, 38, 40, 42], and in six studies, the risk of bias for allocation concealment was unclear [5, 34, 38, 40, 42, 44]. The level of risk of selection bias was high in one study [41].

High risk for performance bias was observed in two studies [39, 41]. The performance bias risk was unclear for six studies [34, 37, 38, 40, 43, 44], and it was low risk in four trials [5, 35, 36, 42]. The risk of detection bias was low in six of the twelve studies [35, 36, 39, 40, 42, 43], unclear in four trials [5, 34, 38, 44], and high in two studies [37, 41]. Attrition bias was low in six trials [36,37,38,39,40, 44], unclear in four trials [5, 34, 35, 43], and high in two [41, 42]. For reporting bias, five of the twelve studies had low risk [35,36,37, 39, 41], six trials were unclear [5, 34, 38, 40, 43, 44], and the risk of reporting bias was high for one trial [42]. Other source of risk of bias was considered high in one study (Nintendo lent the equipment for the training) [41].

Discussion

This review summarized the evidence regarding the effects of exergames in older adults with impaired balance. The use of exergames in geriatric rehabilitation is increasing, suggesting the necessity to investigate their benefits. We found that exergames improve balance and mobility and can be useful in geriatric rehabilitation.

Impairments in balance can be repaired or compensated by practicing physical activities involving postural control training such as time-reaction practice and reactive recovering [45]. Thus, although this study focused on healthy older adults, it raises the discussion of using exergames to keep the older adults physically active, preventing fragility or other conditions that could impair their functional mobility.

Indeed, a study with virtual exercises and visual biofeedback found improvements in functional abilities and in reaction time in older people possibly due to the attentional demand required in virtual environments [46]. Interaction with game scenarios and the action-observation of the avatar movements provide sensorial perception [47, 48]. For these reasons, the multisensorial approach may contribute to better processing of sensorial affordance necessary to keep balance.

Regarding the included studies that used commercial virtual games, all used Nintendo Wii®. These games offer variations in feedback, improve motor learning and gait, and reduce the risk of falls [38]. The favorable evidence for balance found by Jorgensen et al. [36] was associated with postural challenging environments, in which older adults need to control their CoP in multiple directions. The favorable results for exergames regarding CoP sway may represent the sensitivity of exergames in integrating sensory modalities (vestibular, proprioceptive, auditory, and visual systems) necessary for balance [49]. However, the results observed in Fig. 4a for CoP sway should have be interpreted with caution. Fifty-eight percent of heterogeneity is observed, possibly because Cho data for eyes closed test and Shwenk data for eyes open test have confidence intervals not showing statistically significant difference. In addition, it is not observed an overlap of confidence intervals in graph, suggesting statistical heterogeneity among studies.

Important heterogeneity was also observed in Fig. 4b regarding BBS data. Although the confidence intervals of single studies showed a significant difference regarding the change from baseline, the unclear risk of bias, the absence of an overlap among confidence intervals, and high value attributed to Chi2 test lead to heterogeneity in intervention effects and in statistics among studies. In line with our study, Neri et al. found an effect size of 2.99 (95%CI = 1.8 to 4.18; P < 0.001; I2 = 41%) favorably to exergames in comparison to the control group. However, inconsistent findings have been reported among previous meta-analysis in which it was observed no difference between exergame and active control groups [28], a slight significant effect for exergames in comparison to the usual care (MD = 0.73; 95%CI = 0.17 to 1.29; P = 0.01; I2 = 0%) and an increase in BBS for exergames in detriment to conventional exercises (MD = 4.33; 95%CI = 2.93 to 5.73; P < 0.001; I2 = 26%). Such inconsistencies report study’s heterogeneity and lead us to exergames that may be a useful option of exercise to keep older adults more physically active. However, further investigation is necessary for a better comprehension of the role of virtual features in postural balance recovery.

The studies that assessed mobility with TUG found positive effects of exergames. This is relevant because older adults who are able to complete TUG in less than 10 s have a low risk of falls [50]. Good timing in executing TUG represents independence for gait, especially regarding the International Functional Classification (ICF) domain “Activity and Participation.” According to the ICF, “activity” is the execution of a task or action by an individual, whereas “participation” is an individual’s involvement in a real-life situation [51]. Therapeutic approaches that intend to recover functional mobility in older adults play a relevant role in gait, thus, in the qualification of the domain “activity and participation.” Exergames may be a good strategy to maintain functional abilities in older adults.

The concept of mobility is more associated with the general ability to move. Mobility is essential for keeping postural control, transfers, and gait, providing independence for daily activities [52]. Most virtual environments provide observation of goal-oriented movements through motion capture technologies or feedback that make the individual visualize the interaction of their own movements with virtual objects, providing an observation of the quality of the movement in a meaningful practice [53]. Thus, facing the consistent findings observed in our study in relation to TUG and the heterogeneity observed in CoP and BBS findings, exergames are more likely to be a good strategy to maintain older adults’ mobility and functional abilities than purely postural balance.

A meta-analysis found no significant TUG time differences (MD = − 2.29 s, 95%CI = − 5.2 to 0.6 s) between exergame and conventional exercises or no intervention. However, they found improvements in the number of 30-s chair stands (MD = 3.99, 95%CI = 1.9 to 6.0; P = 0.0002; I2 = 71%) in comparison to no exercises [54]. Our review found significant improvements in the three trials that assessed 30-s chair stands [5, 36, 44]; differently from previous meta-analyses, we found improvements in TUG time [35, 36, 38]. These differences may be explained by the fact that Taylor et al. [54] evaluated TUG effects considering active and non-active control groups together, while we limited the investigation of the effects of exergames in comparison to no physical intervention only. Neri et al. [55] found significant effects of exergames on TUG time compared to no intervention after 3 to 6 weeks (MD = − 1.2 s; 95%CI = − 1.6 to − 0.77; P = 0.48; I2 = 0) and after 8 to 12 weeks (MD = − 0.87 s; 95%CI = − 1.4 to − 0.29; P = 0.39; I2 = 0).

Despite the amount of literature about exergames, there remains scarce dose-response information [56]. We found that the time of exposure to exergames ranged from 360 to 2880 min (number of sessions × duration of each session). The iStoppFalls exposure time higher than 90 min/week reduced fall risk regarding the instrument Physiological Profile Assessment (MD = 0.45; P = 0.031) [43].

It is important to highlight the positive effects on motivation and physical activity enjoyment found for Nintendo Wii® games [36, 37, 39]. This was also identified by another systematic review [27]. Motivation is the key for rehabilitation to maintain intervention’s frequency and intensity [57]. Intrinsic motivation is related to self-satisfaction, while extrinsic motivation relates to external demands or rewards [58]. Most therapeutic programs are supported by extrinsic motivation [57]. However, exergaming features stimulate intrinsic motivation to improve “scores”; participants are challenged and encouraged by the interactive features of the games [59]. Levels of intrinsic motivation between exergames and conventional therapy for postural control in adults were compared, and although they found similar effects in balance outcomes, the exergame group had higher levels of intrinsic motivation [58]. Therefore, exergaming may help keep patients active. High levels of adherence and no adverse events were reported in non-commercial exergaming [35, 42]. Vaziri et al. [43] interviewed participants who played the iStoppFalls game and found that ease of use, challenge, and feedback were the main features associated with motivation. This suggests that exergames need to balance therapeutic and entertaining elements in order to maintain motivation.

In rehabilitation, serious games are designed to facilitate therapeutic exercises in a more appealingly way [60]. The exergames require cognitive attention and control for external stimuli and elicit fast reaction times [61]. Serious games have been found to present positive effects on reaction times in older adults [17]. The health-promoting effects of serious games include engaging interventions, prevention, and education [62].

This systematic review has some limitations. Because of the variety of instruments used to measure balance, the data extracted were heterogeneous. Some trials only reported the results in graphs that did not provide the actual numbers. For these reasons, our meta-analysis was conducted with a limited number of studies and outcomes. Another limitation is that some trials may have been missed despite our attempt to use a broad search strategy. In addition, unfortunately, this review does not have a protocol register number.

Conclusions

In comparison to no intervention, exergames improve balance and mobility in older adults with impairments but without neurological diseases. Both types of exergames (commercial or serious game) had similar effects on balance. Further investigation is needed to evaluate the effects of exergaming on quality of life and to establish ideal dosage (time of each session, frequency, and program duration).

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

AMED:

Allied and Complementary Medicine Database

BBS:

Berg Balance Scale

BRU:

Balance Rehabilitation Unit

CINAHL:

Cumulative Index of Nursing and Allied Health Literature

CM:

Candice Medeiros

CoP:

Center of Pressure

EMBASE:

Excerpta Medica database

EV:

Edgar Vieira

FC:

Fabrícia Cavalcanti

MD:

Mean difference

MEDLINE:

Medical Literature Analysis and Retrieval System Online

PEDro:

Physiotherapy Evidence Database

PICO:

Population, Intervention, Comparator and Outcome

PRISMA:

Preferred Reporting Items for Systematic Reviews and Meta-Analyses

RCT:

Randomized controlled trial

ReBEC:

Brazilian Register of Clinical Trials

TP:

Thaiana Pacheco

TUG:

Timed Up and Go

VO:

Victor Oliveira

VR:

Virtual reality

References

  1. 1.

    Alfieri FM, Riberto M, Gatz LS, Ribeiro CPC, Lopes JAF, Santarém JM, et al. Functional mobility and balance in community-dwelling elderly submitted to multisensory versus strength exercises. Clin Interv Aging. 2010;5:181–5.

    PubMed  PubMed Central  Google Scholar 

  2. 2.

    Lockhart TE, Woldstad JC, Smith JL. Effects of age-related gait changes on the biomechanics of slips and falls. Ergonomics. 2003;46(12):1136–60.

    PubMed  PubMed Central  Google Scholar 

  3. 3.

    Masud T, Morris RO. Epidemiology of falls. Age Ageing. 2001;30(Suppl. 4):3–7.

    PubMed  Google Scholar 

  4. 4.

    da Silva Almeida LM, Meucci RD, Dumith SC. Prevalence of falls in elderly people: a population based study. Rev Assoc Med Bras. 2019;65(11):1397–403.

    Google Scholar 

  5. 5.

    Maillot P, Perrot A, Hartley A, Do M. The braking force in walking: age-related differences and improvement in older adults with exergame training. J Aging Phys Act. 2014;22(4):518–26.

    PubMed  Google Scholar 

  6. 6.

    Sherrington C, Tiedemann A, Fairhall N, Hopewell S, Michaleff Z, Howard K, et al. Exercise for preventing falls in older people living in the community. Cochrane Database Syst Rev. 2016;11:1–15.

    Google Scholar 

  7. 7.

    Jones TS, Ghosh TS, Horn K, Smith J, Vogt RL. Primary care physicians perceptions and practices regarding fall prevention in adult’s 65 years and over. Accid Anal Prev. 2011;43(5):1605–9.

    PubMed  Google Scholar 

  8. 8.

    World Health Organization WHO Global Report on Falls Prevention in Older Age. World Health Organization; 2007. Available from: https://www.who.int/publications-detail/who-global-report-on-falls-prevention-in-older-age?ua=1-64k.

  9. 9.

    Stemplewski R, Maciaszek J, Salamon A, Tomczak M, Osinski W. Effect of moderate physical exercise on postural control among 65–74 years old men. Arch Gerontol Geriatr. 2012;54(3):e279–83.

    PubMed  Google Scholar 

  10. 10.

    Patterson SL, Forrester LW, Rodgers MM, Ryan AS, Ivey FM, Sorkin JD, et al. Determinants of walking function after stroke: differences by deficit severity. Arch Phys Med Rehabil. 2007;88(1):115–9.

    PubMed  Google Scholar 

  11. 11.

    Mustafaoʇlu R, Unver B, Karatosun V. Evaluation of stair climbing in elderly people. J Back Musculoskelet Rehabil. 2015;28(3):509–16.

    Google Scholar 

  12. 12.

    Cho S-H, Shin H-K, Kwon Y-H, Lee MY, Lee Y-H, Lee C-H, et al. Cortical activation changes induced by visual biofeedback tracking training in chronic stroke patients. NeuroRehabilitation. 2007;22(2):77–84.

    PubMed  Google Scholar 

  13. 13.

    Levin MF. Can virtual reality offer enriched environments for rehabilitation ? Expert Rev Neurother Rehabil. 2011;11(2):153–5.

    Google Scholar 

  14. 14.

    Peñasco-Martín B, Reyes-Guzmán A, Gil-Agudo A, Bernal-Sahún A, Pérez-Aguilar B, Peña-González A. Aplicación de la realidad virtual en los aspectos motores de la neurorrehabilitación. Rev Neurol. 2010;51(8):481–8.

    PubMed  Google Scholar 

  15. 15.

    Schultheis MT, Rizzo AA. The application of virtual reality technology in rehabilitation. Rehabil Psychol. 2001;46(3):296–311.

    Google Scholar 

  16. 16.

    Proffitt R, Lange B, Chen C, Winstein C. A comparison of older adults’ subjective experiences with virtual and real environments during dynamic balance activities. J Aging Phys Act. 2015;23(1):24–33.

    PubMed  Google Scholar 

  17. 17.

    Wiemeyer J, Kliem A. Serious games in prevention and rehabilitation-a new panacea for elderly people? Eur Rev Aging Phys Act. 2012;9(1):41–50.

    Google Scholar 

  18. 18.

    Justine M, Azizan A, Hassan V, Salleh Z, Manaf H. Barriers to participation in physical activity and exercise among middle-aged and elderly individuals. Singap Med J. 2013;54(10):581–6.

    Google Scholar 

  19. 19.

    Hall CD, Clevenger CK, Wolf RA, Lin JS, Johnson TM II, Wolf SL. Feasibility of a low-cost, interactive gaming system to assess balance in older women. J Aging Phys Act. 2016;24(1):111–8.

    PubMed  Google Scholar 

  20. 20.

    Hsieh W-M, Chen C-C, Wang S-C, Tan S-Y, Hwang Y-S, Chen S-C, et al. Virtual reality system based on Kinect for the elderly in fall prevention. Technol Health Care. 2014;22(1):27–36.

    PubMed  Google Scholar 

  21. 21.

    Bonnechère B, Jansen B, Omelina L, Van Sint Jan S. The use of commercial video games in rehabilitation. Int J Rehabil Res. 2016;39(4):277–90.

    PubMed  Google Scholar 

  22. 22.

    Perrier-Melo RJ, Coelho TDAS, Brito-Gomes JL, de Oliveira SFM, Costa MDC. Active video games, balance and energy expenditure in elderly: a systematic review. ConScientiae Saúde. 2014;13(2):289–97.

    Google Scholar 

  23. 23.

    DeSmet A, Van Ryckeghem D, Compernolle S, Baranowski T, Crombez G, Poels K, et al. A meta-analysis of serious digital games for healthy lifestyle promotion. Prev Med. 2014;32:95–107.

    Google Scholar 

  24. 24.

    Donath L, Rossler R, Faude O. Effects of virtual reality training ( exergaming ) compared to alternative exercise training and passive control on standing balance and functional mobility in healthy community-dwelling seniors : a meta-analytical review. Sports Med. 2016;46(9):1293–309.

    PubMed  Google Scholar 

  25. 25.

    Laver K, Lange B, George S, Deutsch J, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation ( Review ). Cochrane Database Syst Rev. 2017;11(11):CD008349.

    PubMed  Google Scholar 

  26. 26.

    Zeng N, Pope Z, Lee JE, Gao Z. A systematic review of active video games on rehabilitative outcomes among older patients. J Sport Health Sci. 2017;6:33–43.

    PubMed  Google Scholar 

  27. 27.

    Choi SD, Guo L, Kang D, Xiong S. Exergame technology and interactive interventions for elderly fall prevention : a systematic literature review. Appl Ergon. 2017;65:570–58.

    PubMed  Google Scholar 

  28. 28.

    Tahmosybayat R, Baker K, Godfrey A, Caplan N, Barry G. A systematic review and meta-analysis of outcome measures to assess postural control in older adults who undertake exergaming. Maturitas. 2017;98:35–45.

    PubMed  Google Scholar 

  29. 29.

    Zheng L, Li G, Wang X, Yin H, Jia Y, Leng M, et al. Effect of exergames on physical outcomes in frail elderly : a systematic review. Aging Clin Exp Res. 2019;13:1–14.

    Google Scholar 

  30. 30.

    Moher D, Liberati A, Tetzlaff J, Altman D. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Med. 2009;6(7):e1000097.

    PubMed  PubMed Central  Google Scholar 

  31. 31.

    McHugh ML. Interrater reliability: the kappa statistic. Biochem Medica. 2012;22(3):276–82.

    Google Scholar 

  32. 32.

    The Cochrane Collaboration. Review Manager (RevMan) [computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre; 2014.

    Google Scholar 

  33. 33.

    Higgins JPT, Sally Green (editors). Cochrane handbook for systematic reviews of interventions version 5.1.0 [updated March 2011]. 2011.

  34. 34.

    Cho GH, Hwangbo G, Shin HS. The effects of virtual reality-based balance training on balance of the elderly. J Phys Ther Sci. 2014;26(4):615–7.

    PubMed  PubMed Central  Google Scholar 

  35. 35.

    Schwenk M, Grewal GS, Honarvar B, Schwenk S, Mohler J, Khalsa DS, et al. Interactive balance training integrating sensor-based visual feedback of movement performance: a pilot study in older adults. J NeuroEng Rehabil. 2014;11:164.

    PubMed  PubMed Central  Google Scholar 

  36. 36.

    Jorgensen MG, Laessoe U, Hendriksen C, Nielsen OBF, Aagaard P. Efficacy of Nintendo Wii training on mechanical leg muscle function and postural balance in community-dwelling older adults: a randomized controlled trial. J Gerontol A Biol Sci Med Sci. 2013;68(7):845–52.

    PubMed  Google Scholar 

  37. 37.

    Padala KP, Padala PR, Lensing SY, Dennis RA, Bopp MM, Parkes CM, et al. Efficacy of Wii-Fit on static and dynamic balance in community dwelling older veterans: a randomized controlled pilot trial. J Aging Res. 2017;2017:1–9.

    Google Scholar 

  38. 38.

    Jung D-I, Ko D-S, Jeong M-A. Kinematic effect of Nintendo Wii(TM) sports program exercise on obstacle gait in elderly women with falling risk. J Phys Ther Sci. 2015;27(5):1397–400.

    PubMed  PubMed Central  Google Scholar 

  39. 39.

    Gomes GCV, do Socorro Simões M, Lin SM, JMR B, LAP V, Varise EM. Feasibility, safety, acceptability, and functional outcomes of playing Nintendo Wii Fit PlusTM for frail older adults: a randomized feasibility clinical trial. Maturitas. 2018;118:20–8.

    PubMed  Google Scholar 

  40. 40.

    Rendon AA, Lohman EB, Thorpe D, Johnson EG, Medina E, Bradley B. The effect of virtual reality gaming on dynamic balance in older adults. Age Ageing. 2012;41(4):549–52.

    PubMed  Google Scholar 

  41. 41.

    Montero-Alía P, Miralles-Basseda R, López-Jiménez T, Muñoz-Ortiz L, Jiménez-González M, Prat-Rovira J, et al. Controlled trial of balance training using a video game console in community-dwelling older adults. Age Ageing. 2019;48(4):506–12.

    PubMed  PubMed Central  Google Scholar 

  42. 42.

    Duque G, Boersma D, Loza-Diaz G, Hassan S, Suarez H, Geisinger D, et al. Effects of balance training using a virtual-reality system in older fallers. Clin Interv Aging. 2013;8:257–63.

    PubMed  PubMed Central  Google Scholar 

  43. 43.

    Vaziri DD, Aal K, Gschwind YJ, Delbaere K, Weibert A, Annegarn J, et al. Analysis of effects and usage indicators for a ICT-based fall prevention system in community dwelling older adults. Int J Hum Comput Stud. 2017;106(May):10–25.

    Google Scholar 

  44. 44.

    Sato K, Kuroki K, Saiki S, Nagatomi R. Improving walking, muscle strength, and balance in the elderly with an exergame using Kinect: a randomized controlled trial. Games Health J. 2015;4(3):161–7.

    PubMed  Google Scholar 

  45. 45.

    Franco JR, Jacobs K, Inzerillo C, Kluzik J. The effect of the Nintendo Wii Fit and exercise in improving balance and quality of life in community dwelling elders. Technol Health Care. 2012;20(2):95–115.

    PubMed  Google Scholar 

  46. 46.

    Bisson E, Contant B, Sveistrup H, Lajoie Y. Functional balance and dual-task reaction times in older adults are improved by virtual reality and biofeedback training. Cyber Psychol Behav. 2007;10(1):16–23.

    CAS  Google Scholar 

  47. 47.

    Lucca LF. Virtual reality and motor rehabilitation of the upper limb after stroke: a generation of progress? J Rehabil Med. 2009;41(12):1003–6.

    PubMed  Google Scholar 

  48. 48.

    Saposnik G, Mamdani M, Bayley M, Thorpe KE, Hall J, Cohen LGY, et al. Effectiveness of Virtual Reality Exercises in STroke (EVREST): rationale, design, and protocol of a pilot randomized clinical trial assessing the wii gaming system. Int J Stroke. 2010;5(1):47–51.

    CAS  PubMed  PubMed Central  Google Scholar 

  49. 49.

    Merriman NA, Whyatt C, Setti A, Craig C, Newell FN. Successful balance training is associated with improved multisensory function in fall-prone older adults. Comput Hum Behav. 2015;45:192–203.

    Google Scholar 

  50. 50.

    Silva AS, Urbano JJ, De Oliveira EF, Vicente L, Oliveira F. Physical activity level, functional mobility and fall risk in the elderly. 2017;(313053):6–11.

  51. 51.

    World Health Organization. International Classification of Functioning, Disability, and Health. Geneva: ICF; 2001.

    Google Scholar 

  52. 52.

    Panzer VP, Wakefield DB, Hall CB, Wolfson LI. Mobility assessment: Sensitivity and specificity of measurement sets in older adults. Arch Phys Med Rehabil. 2011;92(6):905–12. Available from:. https://doi.org/10.1016/j.apmr.2011.01.004.

    Article  PubMed  PubMed Central  Google Scholar 

  53. 53.

    Levac S. Virtual reality for physical and motor rehabilitation. In: Virtual reality technologies for health and clinical applications. New York; 2014. p. 242. Available from: http://link.springer.com/content/pdf/10.1007/978-1-4939-0968-1.pdf.

  54. 54.

    Taylor LM, Kerse N, Frakking T, Maddison R. Active video games for improving physical performance measures in older people : a meta-analysis. J Geriatr Phys Ther. 2018;41(2):108–23.

    PubMed  Google Scholar 

  55. 55.

    Neri SGR, Cardoso JR, Cruz L, Lima RM, de Oliveira RJ, Iversen MD, et al. Do virtual reality games improve mobility skills and balance measurements in community-dwelling older adults? Systematic review and meta-analysis. Clin Rehabil. 2017;31(10):1292–304.

    PubMed  Google Scholar 

  56. 56.

    Darekar A, Mcfadyen BJ, Lamontagne A, Fung J. Efficacy of virtual reality-based intervention on balance and mobility disorders post-stroke : a scoping review. J Neuroeng Rehabil. 2015;12(46):1–14.

    Google Scholar 

  57. 57.

    Goršič M, Cikajlo I, Novak D. Competitive and cooperative arm rehabilitation games played by a patient and unimpaired person: effects on motivation and exercise intensity. J Neuroeng Rehabil. 2017;14(1):23.

    PubMed  PubMed Central  Google Scholar 

  58. 58.

    Fitzgerald D, Trakarnratanakul PN, Smyth B, Caulfield PB. Effects of a wobble board-based therapeutic exergaming system for balance training on dynamic postural stability and intrinsic motivation levels. J Orthop Sport Phys Ther. 2010;40(1):11–9.

    Google Scholar 

  59. 59.

    Mihelj M, Novak D, Milavec M, Ziherl J, Olenšek A, Munih M. Virtual rehabilitation environment using principles of intrinsic motivation and game design. Presence. 2012;21(1):1–15.

    Google Scholar 

  60. 60.

    Madeira RN, Antunes A, Postolache O, Correia N. Serious…ly! Just kidding in personalised therapy through natural interactions with games. In: Cheok A, Inami M, Romão T, editors. Advances in computer entertainment technology. 2017th ed: ACE 2017; 2018. p. 726–45.

  61. 61.

    Tarnanas I, Papagiannopoulos S, Kazis D, Wiederhold M, Widerhold B, Tsolaki M. Reliability of a novel serious game using dual-task gait profiles to early characterize aMCI. Front Aging Neurosci. 2015;7:1–15.

    Google Scholar 

  62. 62.

    Rahmani E, Boren S. Videogames and health improvement: a literature review of randomized controlled trials. Games Heal J. 2012;1(5):331–41.

    Google Scholar 

Download references

Acknowledgements

The authors are greatly thankful for the Physical Therapy Postgraduate Program of Federal University of Rio Grande do Norte, Natal, Brazil, for providing high quality acknowledgement to support this study and the Florida International University, Miami, USA, for providing valuable bibliographic advice.

Funding

This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior–Brasil (CAPES)–Finance Code 001.

Author information

Affiliations

Authors

Contributions

TP and VO conceptualized the review. TP and CM screened the articles. TP and CM extracted the data. EV drafted the introduction. TP, CM, and FC drafted the methods and results. FC, CM, and TP drafted the discussion. All authors reviewed, edited, and approved the final manuscript.

Corresponding author

Correspondence to T. B. F. Pacheco.

Ethics declarations

Ethics approval and consent to participate

Not applicable

Consent for publication

Not applicable

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Additional file 1.

Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) 2009 checklist.

Additional file 2.

Search Strategy.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Pacheco, T., de Medeiros, C., de Oliveira, V. et al. Effectiveness of exergames for improving mobility and balance in older adults: a systematic review and meta-analysis. Syst Rev 9, 163 (2020). https://doi.org/10.1186/s13643-020-01421-7

Download citation

Keywords

  • Video games
  • Aging
  • Gait
  • Balance