Secondary Logo

Journal Logo

Scientific Review

Active Video Games as a Training Tool for Individuals With Chronic Respiratory Diseases


Butler, Stacey J. MSc; Lee, Annemarie L. PhD; Goldstein, Roger S. MB, ChB; Brooks, Dina MScPT, PhD

Author Information
Journal of Cardiopulmonary Rehabilitation and Prevention: March 2019 - Volume 39 - Issue 2 - p 85-90
doi: 10.1097/HCR.0000000000000320

Chronic respiratory diseases are characterized by symptoms of breathlessness, fatigue, and poor health-related quality of life (HRQOL).1–3 Exercise training, often as part of pulmonary rehabilitation (PR), is an effective treatment to reduce the severity of symptoms and improve exercise capacity and health status.4–10 Active video games, also referred to as “exergames,” are a novel approach to exercise training and have gained popularity in several areas of rehabilitation.11 The most popular gaming systems are Nintendo Wii and Xbox 360 Kinect.12 These systems use motion detection technology to mimic the movements of the players, which are reflected on-screen. There is a wide range of games that vary in the exercise intensity provided. Games such as Wii Fit are specifically intended to improve fitness levels and consist of strength training, aerobics (jogging/boxing), and balance games (yoga, skiing, snowboarding).13 Other games such as Wii Sports and Kinect Sports promote physical activity through enjoyment while playing virtual sports either alone or with an opponent.

Active video games are well tolerated and enjoyed by patients with chronic respiratory diseases.14–19 The game component may serve to increase motivation and adherence to exercise,18,20 which is an important challenge for this population.21 Therefore, they may offer an additional way of achieving exercise training as part of a supervised PR program, or at home.

While active video games provide a unique and enjoyable way to exercise, it is important to establish whether the physiological and clinical effects are equivalent to traditional exercise training. The primary aim of this systematic review was to determine the effects of active video game training on exercise capacity when compared with traditional exercise training in individuals with chronic respiratory diseases. The secondary aims were to determine the effects on symptom severity, energy expenditure, HRQOL and preference for exercise modality. This review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines22 with the protocol registered on PROSPERO (CRD42016038724).



Five electronic databases (MEDLINE, Excerpta Medica dataBASE [EMBASE], Cumulative Index to Nursing and Allied Health Literature [CINAHL], PubMed, and Physiotherapy Evidence Database [PEDro]) were searched in June of 2016. The searches consisted of combinations of terminology related to video games and chronic respiratory diseases and were adapted for each database. A detailed search strategy is included as Supplemental Digital Content 1, available at: References of identified articles and previous reviews were hand-searched for additional data sources. Both conference abstracts and peer-reviewed research articles were included. The search was updated on February 17, 2017.


One researcher (S.J.B.) performed the initial search. Abstracts were independently reviewed for inclusion by 2 researchers (S.J.B. and A.L.L.). Inclusion criteria consisted of (1) clinical trials with an active video game (exergame) or virtual exercise training intervention; (2) participants with chronic respiratory diseases (asthma, bronchiectasis, chronic obstructive pulmonary disease [COPD], cystic fibrosis [CF], interstitial lung disease [ILD], lung cancer); (3) a comparator group performing traditional exercise modalities; and (4) information for at least 1 quantitative outcome related to exercise capacity. Conference abstracts were included and any duplicate articles were removed following the preliminary search.

Studies were excluded for the following reasons: (1) no comparison group; (2) qualitative studies; and (3) written in a language other than English.


Two members of the research team (S.J.B. and A.L.L.) independently assessed the studies using the risk of bias tool from Cochrane,23 with studies rated as unclear, low risk, or high risk. Any discrepancies were resolved by the researchers.


Field walking test results, treadmill time and duration, ergometry, and maximal heart rate (HR) were included to reflect exercise capacity. Secondary outcomes included measures of dyspnea and perceived exertion to reflect breathlessness and fatigue, oxygen saturation (Spo2) indicating gas exchange, energy expenditure, measures of health status and HRQOL, and activity enjoyment.

Data extraction was performed by 1 member of the research team (S.J.B.) and verified by a second team member (A.L.L.). The type of data extracted included the disease population, type of intervention, frequency and duration of the intervention sessions, comparator method, outcome measures, and key findings. Because of population variation, study design, and outcome measures, meta-analysis was not possible. Study findings were reported in a narrative format.



As outlined in the Figure, the literature search identified 976 records. After duplicates were removed, 552 abstracts were screened for eligibility and 36 full-text articles and conference abstracts were included for full-text review. An additional 133 records were identified in the updated search following duplicate removal. Abstracts identified in the updated search were screened for eligibility and did not meet the inclusion criteria. Five research articles24–28 and 1 conference abstract29 met the inclusion criteria for individuals with asthma,24 CF,25,28 COPD,26,27,29 ILD,27 bronchiectasis,27 or restrictive chest disease.27 A summary of the included studies is provided in Table 1. Three randomized controlled trials24,27,29 and 3 crossover studies25,26,28 were identified. The comparator groups completed exercise sessions using treadmill training24–26 and cycling training,25,28,29 or completed a standard PR program consisting of both aerobic and strength training.27

Study flow diagram from identification of studies to final inclusion.
Table 1 - Overview of Included Studies and Exercise Interventions
Studies Population Video Game Intervention Control Group Outcome Measures Key Findings
Randomized controlled trials
Gomes et al24 (2015) Asthma (n = 36)
Control: n = 20
Age = 7.5 ± 1.9 y
Intervention: n = 16
Age = 8.0 ± 2.0 y
Xbox Kinect Adventures “Reflex Ridge”
2×/wk for 8 wk (40-min sessions)
Treadmill EC: Treadmill time and distance, HR
Other: Energy expenditure
Control group improved treadmill distance (m) compared to VGG (895.8 ± 143.4, 703.3 ± 148.3, P < .05). VGG had higher total energy expenditure (cal) (159.9 ± 41.6, 133.3 ± 32.1, P < .01) and higher % predicted maximal HR (103.2 ± 8.6 vs 96 ± 7.80, P < .05)
Makhabah et al29 (2015) COPD (n = 20) Wii Fit
2×/wk for 6 wk
Cycle EC: 6MWT
Other: Dyspnea (MRC, Borg, BDI/TDI), HRQOL (SGRQ)
VGG showed improvements in 6MWD, dyspnea, and HRQOL
Short-term randomized controlled trials
Mazzoleni et al27 (2014) CRD-COPD, ILD, asthma, bronchiectasis, RCD (n = 40)
Control: n = 20
Age = 68.9 ± 11.0 y
Intervention: n = 20
Age = 73.5 ± 9.2 y
Wii Fit
1× daily for 1/wk (1-hr sessions)
PR alone EC: 6MWT, Leg/arm cycle ergometry
Other: Dyspnea (MRC, Borg scale, BDI/TDI), HRQOL (SGRQ), Acceptability Questionnaire
VGG showed greater improvement from baseline to end of program in 6MWD, m (Δ = 97.4 ± 64.8, 61.1 ± 28.3, P < .05) and TDI (Δ = 3.9 ± 1.9, 2.2 ± 1.0, P < .001)
Crossover studies
Kuys et al25 (2011) Cystic fibrosis (n = 19)
Age = 28 ± 7 y
EA Sports Wii Active
1× (15-min session)
Other: Spo 2, dyspnea (Borg), RPE, energy expenditure, enjoyment, fatigue
VGG had higher maximum training HR (beats/min) (VGG minus control = 9, 95% CI = 3-15).
Legear et al26 (2016) COPD (n = 10)
Age = 65.0 ± 8.7 y
EA Sports Wii Active
1× (15-min session)
Treadmill EC: HR
Other: Spo 2, dyspnea (Borg), RPE, energy expenditure, enjoyment, fatigue
No significant difference in outcome measures between groups.
Salonini et al28 (2015) Cystic fibrosis (n = 30)
Age = 12 ± 2.5 y
Xbox Kinect Adventures “River Rush”
1× (20-min session)
Cycle EC: HR
Other: Spo 2, dyspnea (VAS), enjoyment, fatigue
VGG had lower levels of dyspnea (VAS) (3, IQR: 2-5 vs 4, IQR: 3-6, P < .001) and fatigue (3, IQR: 2-4 vs 4.5 IQR: 3-7)
Abbreviations: BDI/TDI, Baseline/Transition Dyspnea Index; COPD, chronic obstructive pulmonary disease; CRD, chronic respiratory disease; EC, exercise capacity; HR, heart rate; HRQOL, health-related quality of life; ILD, interstitial lung disease; IQR, interquartile range; MRC, Medical Research Council; PR, pulmonary rehabilitation; RCD, restrictive chest disease; RPE, rating of perceived exertion; SGRQ, St George's Respiratory Questionnaire; 6MWT, 6-min walk test; SpO2, peripheral oxygen saturation; VAS, visual analog scale; VGG, video game group.

Results of the risk of bias assessment are provided in Table 2. The conference abstract by Makhabah et al29 was unclear in all categories of bias assessment, with no further information obtained from the authors. Of the remaining 5 studies, 4 were determined to be unclear in the blinding of study participants. Other sources of bias included limited washout periods and short exercise sessions in crossover trials. The majority of studies used appropriate randomization and reported all outcomes.

Table 2 - Quality Assessment Results
Studies Randomization Allocation Concealment Blinding Incomplete Outcome Data Selective Reporting Other Bias
Participants and Personnel Outcome Assessor
Gomes et al24 (2015) Low Low Unclear Low High Low None
Kuys et al25 (2011) Low Low High Low Low Low Low: Exercises on separate days
Legear et al26 (2016) Low Unclear Unclear Unclear Low Low Low: 15-min washout period
Makhabah et al29 (2015) Unclear Unclear Unclear Unclear Unclear Unclear Insufficient information provided
Mazzoleni et al27 (2014) Unclear Unclear Unclear Unclear Low Low None
Salonini et al28 (2015) Low Low Unclear Low Low Low Low: Exercises on separate days


Table 3 describes the characteristics of the active video games discussed in this review. Four studies used Nintendo Wii25,27–29 and 2 used the Xbox Kinect gaming consoles.24,26 Wii Fit, a game consisting of yoga, strength, and aerobic exercises, was used in 2 studies for participants with COPD29 or mixed respiratory diseases.27 Two crossover studies for participants with COPD28 or CF25 used the EA Sports Wii Active game, consisting of jogging on the spot, dance, boxing, and other sports. Both studies using the Xbox system chose 1 mini-game from the Xbox Kinect Adventures game.

Table 3 - Active Video Game Characteristics
Studies Game Exercises Exercise Type Exercise Intensity
Gomes et al24 (2015) Xbox Kinect Adventures mini-game “Reflex Ridge” Jumps, squats, perform lateral and arm movements to dodge obstacles and collect points
10 × 3-min rounds with a 30-sec rest interval between rounds
Aerobic lower body 90.5% of predicted maximum HR
Meets recommendations of >80% predicted maximum HR for children with respiratory disorders30
Kuys et al25 (2011) EA Sports Wii Active Boxing, running/track, dancing tailored to each participants preferences and limitations Aerobic upper body 73% of predicted maximum HR
Meets recommendations for those with low to average fitness levels31
Legear et al26 (2016) EA Sports Wii Active “Run (medium)”—marching on the spot
“Dance basic 1”—Basic arm movements
“Heavy” bag-repeated punching on-screen punching bag
“Targets 1”—air punching targets on-screen
Aerobic upper body Participants self-adjusted to maintain Borg dyspnea scale of 3-5
Makhabah et al29 (2015) Wii Fit Yoga, strength training, aerobic Aerobic strength No guidelines for intensity reported
Mazzoleni et al27 (2014) Wii Fit 5 min of “Yoga” (stretch and deep breathing) at the beginning and end as a warm-up/cooldown
“Jogging Plus”—10-min running on the spot
“Twisting and squat”—10-min twisting trunk and leg squatting as directed
Aerobic lower body No guidelines for intensity reported
Salonini et al28 (2015) Xbox Kinect Adventures mini-game “River Rush” Stand on a virtual raft, jump or step left or right to dodge obstacles and collect points
3 levels, each lasts 6 min with a 1-min rest in-between levels
Aerobic lower body Aim of >80% of predicted maximum HR32
Achieved by 40% of participants
Abbreviation: HR, heart rate.

Of the randomized controlled trials, 2 studies delivered the video game intervention twice weekly for a period of 629 to 824 wk, and 1 study delivered the intervention once daily for 7 d during the last week of PR.27 The length of the video game intervention ranged from 40 min24 to 1 hr.27 This differs from the 3 crossover studies, 2 of which included only a single 15-min session,25,26 the third being a single 20-min session.28


All 6 studies included outcome measures related to exercise capacity (Table 1). These included constant treadmill time and distance,24 6-min walk distance (6MWD),27,29 cycle ergometry,27 and measures of HR.24–26,28

Treadmill time and distance were compared for children with moderate to severe asthma following 8 wk of training using a treadmill or the “Reflex Ridge” mini-game.24 Both groups showed significant improvement in treadmill time and distance. Between-group differences favored the conventional training group (P < .05).

The addition of Wii Fit training to the final week of a standard PR program was associated with significant improvements in 6MWD compared with control (P = .028) but no difference in measures of incremental arm (P = .361) or leg cycle ergometry (P = .776) between groups.27 Another study using Wii Fit noted significant improvements in 6MWD from baseline for both groups,29 with no between-group differences reported.

Maximal HR levels during active video game training were comparable to or higher than those achieved by the control group in all studies.24–26,28 Kuys et al25 reported significantly higher minimum and maximal training HR in the video game group, although there was no difference in average HR between groups (95% CI, 3-9 beats/min).25 A significantly higher percentage of predicted maximal HR during active video game training compared with treadmill training was also reported in patients with asthma (P < .05).24


Secondary outcome measures included measures of Spo2,25,26,28 dyspnea rating,25–29 rating of perceived exertion,25,26 energy expenditure,24–26 HRQOL,27,29 enjoyment, and preference for exercise modality.25,26,28


Spo2 was similar during training between all intervention and control groups and remained >90%, or was maintained with supplemental oxygen at safe levels during training.25,26,28 Dyspnea levels were recorded during training using the Borg scale25,26 and a visual analog scale28 in the crossover studies. The Transition Dyspnea Index,27,29 and the Medical Research Council dyspnea scale27 were used for the randomized controlled trials. Dyspnea levels and rating of perceived exertion between groups were comparable in all studies.25,28,29 Fatigue was measured in 2 studies using a visual analog scale25,28; in 1 study, Wii training resulted in similar fatigue levels compared with control25; in a second study, Xbox Kinect training was associated with significantly lower fatigue levels during training (P < .001).28

Total energy expenditure, as measured continuously during training by a portable activity monitor, was higher than conventional exercise training only when playing the Xbox Kinect Adventure “Reflex Ridge” mini-game than during treadmill training (P < .01),24 with no differences noted with EA Sports Wii Active training.25,26


Only 1 study27 reported significant differences in dyspnea rating using the Transition Dyspnea Index, with the video game group reporting less breathlessness than the control group (P < .001). Two studies27,29 measured HRQOL using the St George's Respiratory Questionnaire. Both groups had significant improvement in their St George's Respiratory Questionnaire scores only from baseline to the end of the study.27,29

Enjoyment and preference for exercise modality were reported in the 3 crossover studies.25,26,28 Adults with CF expressed higher levels of enjoyment for the EA Wii Sports Active games compared with treadmill exercise (95% CI, 1.6-3.6).25 Children and adolescents with CF preferred the Xbox Kinect Adventures mini-game “River Rush” to stationary cycle exercise (P < .001)28 while individuals with COPD equally enjoyed treadmill/cycle training and Nintendo Wii training.26


A variety of active video games and gaming systems were used in the studies included in this review. These games varied in their exercise intensity, as reflected by the percent predicted maximum HR determined for each population.24,25,28 Compared with treadmill or cycling training, active video games induced similar maximal HR24–26,28 and dyspnea levels.25,26,28,29 Although 1 study27 reported between-group differences in 6MWD in favor of the video game intervention, the short (1 wk) intervention period limits any meaningful interpretation of the result beyond a 3-wk inpatient PR program.

The longest duration of active video game training was 8 wk with training twice weekly,24 the minimum time generally recommended for exercising populations.6,31,32 Only 2 of the 3 randomized controlled trials reported 6 to 8 wk of active video games versus the alternative traditional exercise training. The third randomized controlled trial had only a 1-wk add-on to a short (3-wk) PR program. Other studies varied in intervention length, the shortest 2 being a single 15-min session.

Both active video games such as Nintendo Wii EA Sports Active26 and the Xbox Kinect Adventures “Reflex Ridge” and “River Rush” mini-games24,28 can achieve exercise intensities similar to those achieved using treadmill or cycle training. These findings are consistent with the recent review of active video game training in patients with CF.33 The style of video game training, using short, 3-5 min mini-games, with approximately 15-30 sec rest while the next game loads,26 is similar to interval training, an approach used for patients with chronic respiratory diseases who may be unable to tolerate continuous exercise.34 Further information is required regarding the relative intensity of exercise prescription for this approach due to the variation of games used in this review.

The specificity of training within the active video game may influence outcome measures. For example, one would not expect changes in arm cycle ergometry from a video game that was predominantly focused on lower limb training.27 Similarly, the improvement in treadmill time in the control group in the study by Gomes et al24 is not surprising, despite the higher training energy expenditure and HR in the video game group, as the latter involved a program of jumps, squats, and arm movements to avoid obstacles whereas the former used treadmill training. In addition, the study by Mazzoleni et al27 included a measurement of HRQOL after a 1-wk long trial. This highlights the importance of evaluation studies selecting outcomes appropriate to the intervention. In addition, the comparator exercise was variable between studies both in duration and intensity and did not reflect the interval style of the video games.

The majority of active video games on the market are designed to appeal to children and young adults, but studies with older adults have demonstrated that they too can enjoy these games.11,20,26 In this review, children and adults with asthma or CF clearly preferred video game training24,28 whereas adults with COPD enjoyed both training modalities.26 Active video games are a unique exercise training option as they offer the enjoyment and competitive aspect of video games but are controlled by the player's movement and, therefore, are also a form of physical activity. By immersing the player in a virtual reality, active video games also serve to distract the player from symptoms such as fatigue or dyspnea, common among the respiratory population25,26,28,29

While the collective results demonstrating similar training maximal HR, dyspnea levels and positive enjoyment are encouraging, longer-term studies, with a consistent intervention in a homogeneous population, are required to establish the clinical impact of active video game training. In addition, personnel should be blinded to group allocation when evaluating outcome measures to reduce the risk of bias in future studies. Given the nature of the intervention, it would be difficult to blind participants. An important limitation of this review is the small number of studies identified, which reflects the novelty of video game training in respiratory rehabilitation. Had this review been expanded to include a cardiac population, there would have been more studies included; however, a comprehensive review of “exergames” in cardiac rehabilitation has been previously published.35 The small number of studies identified included methodological limitations relating to the small sample size, heterogeneity, and duration of exercise training. Such variations in the study design, population, intervention, and outcome measures prevented grouping of data in a meta-analysis. Therefore, current evidence is insufficient to establish the role of active video game training for individuals with chronic respiratory diseases. However, this review will help inform further studies in this area. If shown to be a clinically useful component of exercise, active video games could provide additional variety to standard PR exercise training, increasing motivation and promoting adherence17,20 both in a hospital setting20,24,27 and at home.14,17,18


Active video games can induce similar physiological demands such as maximal HR, dyspnea levels, and energy expenditure during training as traditional exercise modalities. The evidence of enhanced clinical outcomes provided in this review is of low quality with small sample sizes and brief intervention periods. Larger randomized controlled trial of homogeneous design and longer-term follow-up will determine whether active video game training can result in long-term improvements in exercise capacity and HRQOL among those with chronic respiratory conditions.


1. Bateman ED, Hurd SS, Barnes PJ, et al. Global strategy for asthma management and prevention: GINA executive summary. Eur Respir J. 2008;31:143–178.
2. Sawicki GS, Sellers DE, Robinson WM. Self-reported physical and psychological symptom burden in adults with cystic fibrosis. J Pain Symptom Manage. 2008;35:372–380.
3. Vestbo J, Hurd SS, Agustí AG, et al. Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2013;187:347–365.
4. Carson KV, Chandratilleke MG, Picot J, Brinn MP, Esterman AJ, Smith BJ. Physical training for asthma. Cochrane Database Syst Rev. 2013;9:CD001116.
5. Fanelli A, Cabral ALB, Neder JA, Martins MA, Carvalho CRF. Exercise training on disease control and quality of life in asthmatic children. Med Sci Sports Exerc. 2007;39:1474–1480.
6. Lacasse Y, Martin S, Lasserson TJ, Goldstein RS. Meta-analysis of respiratory rehabilitation in chronic obstructive pulmonary disease a Cochrane systematic review. Eura Medicophys. 2007;43:475–485.
7. Selvadurai HC, Blimkie CJ, Meyers N, Mellis CM, Cooper PJ, Van Asperen PP. Randomized controlled study of in-hospital exercise training programs in children with cystic fibrosis. Pediatr Pulmonol. 2002;33:194–200.
8. Bradley JM, Moran FM, Elborn JS. Evidence for physical therapies (airway clearance and physical training) in cystic fibrosis: an overview of five Cochrane systematic reviews. Respir Med. 2006;100:191–201.
9. Foster S, Thomas IHM. Pulmonary rehabilitation in lung disease other than chronic obstructive pulmonary disease. Am Rev Respir Dis. 1990;141:601–604.
10. Ries AL, Bauldoff GS, Carlin BW, et al. Pulmonary rehabilitation: joint ACCP/AACVPR evidence-based clinical practice guidelines. Chest. 2007;131:4S–42S.
11. 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;11:1–20.
12. Sween J, Wallington SF, Sheppard V, Taylor T, Llanos AA, Adams-Campbell LL. The role of exergaming in improving physical activity: a review. J Phys Act Health. 2014;11:864–870.
13. Bonnechère B, Jansen B, Omelina L, Van Sint Jan S. The use of commercial video games in rehabilitation: a systematic review. Int J Rehabil Res. 2016;39:277–290.
14. Albores J, Marolda C, Haggerty M, Gerstenhaber B, Zuwallack R. The use of a home exercise program based on a computer system in patients with chronic obstructive pulmonary disease. J Cardiopulm Rehabil Prev. 2013;33:47–52.
15. Albores J, Normandin E, Marolda C, ZuWallack R, Lahiri B. Physiologic variables observed in COPD patients while exercising with an interactive activity-promoting video game. Am J Respir Crit Care Med. 2011;183:A3969. Abstract.
16. del Corral T, Percegona J, Seborga M, Rabinovich RA, Vilaro J. Physiological response during activity programs using Wii-based video games in patients with cystic fibrosis (CF). J Cyst Fibros. 2014;13:706–711.
17. Hoffman AJ, Brintnall RA, Brown JK, et al. Too sick not to exercise: using a 6-week, home-based exercise intervention for cancer-related fatigue self-management for postsurgical non-small cell lung cancer patients. Cancer Nurs. 2013;36:175–188.
18. Hoffman AJ, Brintnall RA, Brown JK, et al. Virtual reality bringing a new reality to postthoracotomy lung cancer patients via a home-based exercise intervention targeting fatigue while undergoing adjuvant treatment. Cancer Nurs. 2014;37:23–33.
19. Holmes H, Wood J, Jenkins S, et al. Xbox Kinect™ represents high intensity exercise for adults with cystic fibrosis. J Cyst Fibros. 2013;12:604–608.
20. Wardini R, Dajczman E, Yang N, et al. Using a virtual game system to innovate pulmonary rehabilitation: safety, adherence and enjoyment in severe chronic obstructive pulmonary disease. Can Respir J. 2013;20:357–361.
21. Griffiths TL, Burr ML, Campbell IA, et al. Results at 1 year of outpatient multidisciplinary pulmonary rehabilitation: a randomised controlled trial. Lancet. 2000;355:362–368.
22. Moher D, Shamseer L, Clarke M, et al. Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Syst Rev. 2015;4:1.
23. Higgins JPT, Altman DG, Gotzsche PC, et al. The Cochrane Collaboration's tool for assessing risk of bias in randomised trials. BMJ. 2011;343:d5928. doi:
24. Gomes EL, Carvalho CR, Peixoto-Souza FS, et al. Active video game exercise training improves the clinical control of asthma in children: randomized controlled trial. PLoS One. 2015;10(8):e0135433.
25. Kuys SS, Hall K, Peasey M, Wood M, Cobb R, Bell SC. Gaming console exercise and cycle or treadmill exercise provide similar cardiovascular demand in adults with cystic fibrosis: a randomised cross-over trial. J Physiother. 2011;57:35–40.
26. Legear T, Legear M, Preradovic D, Wilson G, Kirkham A, Camp PG. Does a Nintendo Wii exercise program provide similar exercise demands as a traditional pulmonary rehabilitation program in adults with COPD? Clin Respir J. 2016;10:303–310.
27. Mazzoleni S, Montagnani G, Vagheggini G, et al. Interactive videogame as rehabilitation tool of patients with chronic respiratory diseases: preliminary results of a feasibility study. Respir Med. 2014;108:1516–1524.
28. Salonini E, Gambazza S, Meneghelli I, et al. Active video game playing in children and adolescents with cystic fibrosis: exercise or just fun? Respir Care. 2015;60:1172–1179.
29. Makhabah D, Suradi S, Doewes M. The role of interactive game-based system in pulmonary rehabilitation of patients with COPD. Eur Respir J. 2015;46:PA549. Abstract.
30. Baquet G, Gamelin FX, Mucci P, Thevenet D, Van Praagh E, Berthoin S. Continuous vs. interval aerobic training in 8- to 11-year-old children. J Strength Cond Res. 2010;24:1381–1388.
    31. American College of Sports Medicine. ACSM's Guidelines for Exercise Testing and Prescription. Baltimore, MD: Lippincott Williams & Wilkins; 2010.
    32. Williams C, Benden C, Stevens D, Radtke T. Exercise training in children and adolescents with cystic fibrosis: theory into practice. Int J Pediatr. 2010:670640. doi: 10.1155/2010/670640.
    33. Carbonera RP, Vendrusculo FM, Donadio MVF. Physiological responses during exercise with video games in patients with cystic fibrosis: a systematic review. Respir Med. 2016;119:63–69.
    34. Beauchamp MK, Goldstein RS, Hill K, Dolmage TE, Mathur S, Brooks D. Interval versus continuous training in individuals with chronic obstructive pulmonary disease—a systematic review. Thorax. 2010;65:157–164.
    35. Ruivo JA. Exergames and cardiac rehabilitation: a review. J Cardiopulm Rehabil Prev. 2014;34:2–20.

    active video games; exercise training; exergames; respiratory disease

    Supplemental Digital Content

    © 2018 The Authors. Published by Wolters Kluwer Health, Inc.