Data from the activity monitor were deidentified at find more downloading to allow assessor blinding for average and total energy expenditure. The participants’ perception of using a gaming console as an exercise modality was measured using a 10-cm horizontal visual analogue scale. Participants were asked to rate their level of enjoyment, fatigue experienced, and workload achieved during the exercise intervention. In addition, participants were asked to rate their

confidence that the exercise intervention met their perception of an effective exercise for them and that the exercise intervention was feasible to be included as a component of their routine exercise regimen. All visual analogue scales were anchored, with the left hand anchor indicating no agreement with the statement (no enjoyment, not fatiguing, no workload, not effective, not feasible) and the right hand anchor indicating strong agreement (very enjoyable, very fatiguing, etc). Cardiovascular demand and energy expenditure measures were recorded continuously during 5 minutes of rest check details at the start of the exercise interventions and during the 15 minutes of exercise. The participants’ perceptions of

the exercise intervention were measured at the completion of the exercise. The primary outcome was the average heart rate during exercise. We planned and undertook an analysis of the first 14 participants to determine the standard deviation of the difference between two recordings of the average heart rate during exercise in the same patient, which was 12 beats/min. In the absence of an established value, we nominated 10 beats/min as a clinically worthwhile difference in heart rate during exercise based on our clinical experience and because it exceeds day-to-day variability in heart rate (Achten and Jeukendrup 2003).

Therefore, a sample size of 18 participants was required Dipeptidyl peptidase to achieve 90% power to detect a difference of 10 beats/min between the two exercise interventions at a significance level of 0.05. All measures were analysed using an intention-to-treat analysis. Means and standard deviations were calculated for all variables. Average, minimum and maximum values were recorded for heart rate and oxygen saturation during the 5-minute rest period and the 15-minute exercise period for each exercise intervention. Average energy expenditure during the 15 minutes of exercise was estimated by the activity monitor software in metabolic equivalents (MET). Total energy expenditure for the entire exercise intervention was estimated in kilocalories by the same software. Differences in all variables between the two exercise interventions were analysed using paired t–tests. Results were reported as mean differences and 95% CI. Statistical significance was set at 0.05.