Autonomous exercise game use improves metabolic control and quality of life in type 2 diabetes patients - a randomized controlled trial

Kerstin Kempf, Stephan Martin, Kerstin Kempf, Stephan Martin

Abstract

Background: Lifestyle intervention in type 2 diabetes mellitus (T2DM) is effective but needs a special local setting and is costly. Therefore, in a randomized-controlled trial we tested the hypothesis that the autonomous use of the interactive exercise game Wii Fit Plus over a period of 12 weeks improves metabolic control, with HbA1c reduction as the primary outcome, and weight loss, reduction of cardiometabolic risk factors, physical activity and quality of life (secondary outcomes) in T2DM patients.

Methods: Participants (n = 220) were randomized into an intervention and a control group. The intervention group was provided with a Wii console, a balance board and the exercise game Wii Fit Plus for 12 weeks. The control group remained under routine care and received the items 12 weeks later. At baseline and after 12 weeks (and for the control group additionally after 12 weeks of intervention) the participants' health parameters, medication, physical activity and validated questionnaires for quality of life (PAID, SF12, WHO-5, CES-D) were requested and compared in a complete case analysis using the Mann-Whitney test and the Wilcoxon signed rank test.

Results: 80% of participants completed the 12-week study. Patients in the intervention group significantly improved HbA1c (from 7.1 ± 1.3% to 6.8 ± 0.9%; -0.3 ± 1.1%; p = 0.0002) in comparison to the control group (from 6.8 ± 0.9% to 6.7 ± 0.7%; -0.1 ± 0.5%) and also significantly reduced fasting blood glucose (from 135.8 ± 38.9 mg/dl to 126.6 ± 36.6 mg/dl; p = 0.04), weight (from 97.6 ± 19.2 kg to 96.3 ± 18.7 kg; p < 0.001) and body mass index (from 34.1 ± 6.5 kg/m2 to 33.5 ± 6.5 kg/m2; p < 0.001). Daily physical activity increased significantly (p < 0.001). Diabetes-dependent impairment, mental health, subjective wellbeing and quality of life also improved significantly, and the number of patients with depression decreased. Similar improvements were seen in the control group after exercise game intervention.

Conclusions: In this trial a low-threshold intervention with the interactive exercise game Wii Fit Plus was able to motivate T2DM patients to improve physical activity, glucometabolic control and quality of life.

Trial registration: ClinicalTrials.gov NCT01735643.

Figures

Figure 1
Figure 1
Flowchart of study participants.
Figure 2
Figure 2
Significant reduction of HbA1c during the 12-week exercise game intervention. Shown are means ± standard error of means. (A) HbA1c values have been determined at baseline and after 12 weeks in the intervention group (n = 93; white bars) and the control group (n = 83; checked bars) as well as after additional 12 weeks of intervention (n = 54). (B) Differences in HbA1c were defined as values after 12 weeks of intervention or waiting minus baseline values, and additionally for the control group, values after 12 weeks of intervention minus values after 12 weeks of waiting. Differences between groups have been estimated using the Mann–Whitney test and within groups using the Wilcoxon signed rank test; Wilcoxon signed rank test was used to determine if differences were significantly different from 0 (*, p < 0.05; **, p < 0.01; ***, p < 0.001).
Figure 3
Figure 3
Improvement in diabetes-dependent impairment, subjective wellbeing and quality of life during exercise game intervention. Using validated questionnaires we estimated (A) diabetes-dependent impairment (PAID), (B) mental health (SF-12), (C) subjective wellbeing (WHO-5) and (D) quality of life (ADS-L). For details see legend to Figure 1.
Figure 4
Figure 4
Percentage of patients with depression. Depression was self-assessed using the validated questionnaires (A) PAID, (B) WHO-5 and (C) ADS-L. Participants who reached a score >39% (PAID), ≤52% (WHO-5) and ≥40 (ADS-L) were diagnosed as depressed. The percentage of patients with depression is given by the checked part of the bar, the white part of the bar gives the percentage of participants without depression. Fisher’s exact test was used to analyze if the numbers of depressed participants differed between groups or points in time (*, p < 0.05).

References

    1. Pi-Sunyer X, Blackburn G, Brancati FL, Bray GA, Bright R, Clark JM, Curtis JM, Espeland MA, Foreyt JP, Graves K, Haffner SM, Harrison B, Hill JO, Horton ES, Jakicic J, Jeffery RW, Johnson KC, Kahn S, Kelley DE, Kitabchi AE, Knowler WC, Lewis CE, Maschak-Carey BJ, Montgomery B, Nathan DM, Patricio J, Peters A, Redmon JB, Reeves RS, Ryan DH. et al.Reduction in weight and cardiovascular disease risk factors in individuals with type 2 diabetes: one-year results of the look AHEAD trial. Diabetes Care. 2007;13:1374–1383.
    1. Rahmani E, Austin-Boren S. Videogames and health improvement: a literature review of randomized controlled trials. Games Health J. 2012;13:331–341. doi: 10.1089/g4h.2012.0031.
    1. Kharrazi H, Shirong A, Gharghabi F, Coleman W. A scoping review of health game research: past, present and future. Games Health J. 2012;13:153–164. doi: 10.1089/g4h.2012.0011.
    1. Welch GW, Jacobson AM, Polonsky WH. The problem areas in diabetes scale. An evaluation of its clinical utility. Diabetes Care. 1997;13:760–766. doi: 10.2337/diacare.20.5.760.
    1. Bullinger M, Kirchberger I, Ware J. Der deutsche SF-36 health survey. Z f Gesundheitswiss. 1995;13:21–36. doi: 10.1007/BF02959944.
    1. Bonsignore M, Barkow K, Jessen F, Heun R. Validity of the five-item WHO well-being index (WHO-5) in an elderly population. Eur Arch Psychiatry Clin Neurosci. 2001;13(Suppl 2):II27–II31.
    1. Hautzinger M, Bailer M. ADS. Allgemeine depressionsskala. Weinheim: Beltz; 1993.
    1. Kempf K, Dirk M, Kolb H, Hebestreit A, Bittner GMartin S. [The Da Vinci medical-mental motivation program for supporting lifestyle changes in patients with type 2 diabetes] Dtsch Med Wochenschr. 2012;13:362–367.
    1. Wing RR. Long-term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes mellitus: four-year results of the look AHEAD trial. Arch Intern Med. 2010;13:1566–1575.
    1. Plotnikoff RC, Costigan SA, Karunamuni NDLubans DR. Community-based physical activity interventions for treatment of type 2 diabetes: a systematic review with meta-analysis. Front Endocrinol (Lausanne) 2013;13:3.
    1. Inzucchi SE, Bergenstal RM, Buse JB, Diamant M, Ferrannini E, Nauck M, Peters AL, Tsapas A, Matthews DR, Wender R. Management of hyperglycaemia in type 2 diabetes: a patient-centered approach. Position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD) Diabetologia. 2012;13:1577–1596. doi: 10.1007/s00125-012-2534-0.
    1. Bloomgarden ZT, Dodis R, Viscoli CM, Holmboe ES, Inzucchi SE. Lower baseline glycemia reduces apparent oral agent glucose-lowering efficacy: a meta-regression analysis. Diabetes Care. 2006;13:2137–2139. doi: 10.2337/dc06-1120.
    1. Hall AK, Chavarria E, Maneeratana V, Chaney BH, Bernhardt JM. Health benefits of digital videogames for older adults: a systematic review of the literature. Games Health J. 2012;13:402–410. doi: 10.1089/g4h.2012.0046.
    1. Orsega-Smith E, Davis J, Slavish K, Gimbutans L. Wii Fit balance intervention in community-dwelling older adults. Games Health J. 2012;13:431–435. doi: 10.1089/g4h.2012.0043.
    1. Anderson-Hanley C, Arciero PJ, Westen SC, Nimon J, Zimmerman E. Neuropsychological benefits of stationary bike exercise and a cybercycle exergame for older adults with diabetes: an exploratory analysis. J Diab Sci Technol. 2012;13:849–857.
    1. Staiano AE, Abraham AACalvert SL, Calvert AA. Adolescent exergame play for weight loss and psychosocial improvement: a controlled physical activity intervention. Obesity (Silver Spring) 2012;13:598–601.
    1. Korkiakangas E, Taanila AM, Keinanen-Kiukaanniemi S. Motivation to physical activity among adults with high risk of type 2 diabetes who participated in the Oulu substudy of the Finnish diabetes prevention study. Health Soc Care Commun. 2011;13:15–22. doi: 10.1111/j.1365-2524.2010.00942.x.
    1. Feltz DL, Irwin B, Kerr N. Two-player partnered exergame for obesity prevention: using discrepancy in players' abilities as a strategy to motivate physical activity. J Diab Sci Technol. 2012;13:820–827.
    1. Staiano AE, Abraham AA, Calvert SL. Motivating effects of cooperative exergame play for overweight and obese adolescents. J Diab Sci Technol. 2012;13:812–819.
    1. Simons M, De Vet E, Hoornstra S, Brug J, Seidell J, Chinapaw M. Adolescents' views on active and non-active videogames: a focus group study. Games Health J. 2012;13:211–218. doi: 10.1089/g4h.2011.0032.
    1. Osorio G, Moffat DC, Skyes J. Exergaming, exercise, and gaming: sharing motivations. Games Health J. 2012;13:205–210. doi: 10.1089/g4h.2011.0025.
    1. Stiggelbout M, Hopman-Rock M, Tak E, Lechner Lvan Mechelen W. Dropout from exercise programs for seniors: a prospective cohort study. J Aging Phys Act. 2005;13:406–421.

Source: PubMed

3
Sottoscrivi