Physical Inactivity Clinical Trial
Official title:
Effects of Home-based Exercise Gaming on Cardio-Metabolic and Cognitive Health Markers in Physically Inactive Individuals
Verified date | March 2023 |
Source | University Hospital Inselspital, Berne |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
Current guidelines recommend that adults undertake at least 150 minutes of moderate intensity physical activity or 75 minutes of vigorous physical activity per week. However, many adults fail to be physically active according to this definition of the World Health Organisation (WHO). This represents a large economic burden to healthcare systems and public health. A number of behavioural and environmental factors associated with modern lifestyles are largely responsible for the high levels of physical inactivity including; motorised transport and sedentary jobs, lack of time, limited access to adequate exercise facilities, lack of motivation, financial constraints and environmental factors including bad weather. In an attempt to overcome many of the common barriers to exercise, members of our research group developed a virtually-monitored exercise intervention that used simple on-the-spot bodyweight exercises to be performed in the participant's home without supervision or equipment. This home-based intervention was designed to be a practical and effective training strategy capable of producing metabolic and functional adaptions while removing many of the common barriers to exercise. Despite promising results, more engaging exercise strategies are needed to motivate sedentary individuals to increase their physical activity. Inspired by current trends in the fitness market, Sphery Ltd. developed an immersive and motivating fitness exercise game (exergame), the "ExerCube". The ExerCube allows a full-body workout that concurrently challenges physical and cognitive functions and adapts to the fitness and skill level of the individual. The development of a home-based version of the ExerCube has the potential to make this system available to more individuals, reduce major barriers to exercise, and ultimately provide a strategy to improve cardio-metabolic health in the population. Innovative home-based exergames are particularly in demand given the increase in the number of people wanting to exercise at home due to the COVID-19 pandemic.
Status | Completed |
Enrollment | 27 |
Est. completion date | January 23, 2023 |
Est. primary completion date | January 23, 2023 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years to 55 Years |
Eligibility | Inclusion Criteria: - Male or female - Aged 18-55 - Physically inactive, defined as not meeting the exercise guidelines of 150 minutes of moderate physical activity or 75 minutes of vigorous physical activity per week - BMI 18.5 kg/m2 - 30 kg/m2 - No known cardiovascular disorders - Able to provide written informed consent and understand instructions Exclusion Criteria: - Overt diabetes mellitus (type 1, type 2, other forms of diabetes) - Pregnant, planning on becoming pregnant during the study, or breast feeding - Physical or psychological disease likely to interfere with the normal conduct of the study as judged by the investigator |
Country | Name | City | State |
---|---|---|---|
Switzerland | Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital and University of Bern, Bern, Switzerland | Bern |
Lead Sponsor | Collaborator |
---|---|
University Hospital Inselspital, Berne | University of Bern |
Switzerland,
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* Note: There are 23 references in all — Click here to view all references
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | VO2max | Change in maximal aerobic capacity (VO2max) | Pre to post 6 weeks of home-based exergame training | |
Secondary | Wmax | Change in maximal power output (Wmax) | Pre to post 6 weeks of home-based exergame training | |
Secondary | Adherence | Training adherence indicated by the number of training sessions performed over the 6 week period | 6 weeks of home-based exergame training | |
Secondary | Adherence | Training adherence indicated by the number of training sessions in which the desired exercise intensity was achieved over the 6 week period | 6 weeks of training | |
Secondary | Drop-out rate | Number of participants that drop out from the study | 6 weeks training | |
Secondary | Physical Activity Enjoyment Scale (PACES) score | Change in Physical Activity Enjoyment Scale (PACES) score (an 18-item scale designed to measure physical activity enjoyment) | Pre to post 6 weeks of home-based exergame training | |
Secondary | Situation Motivation Scale (SIMS) | Change in Situation Motivation Scale (SIMS) score | Pre to post 6 weeks of home-based exergame training | |
Secondary | Qualitative interviews | Overall experience determined through qualitative interviews | Following 6 weeks of training | |
Secondary | Immersive Experience Questionnaire (IEQ) | Immersive experience during home-based exergame sessions | Following 6 weeks of training | |
Secondary | Executive Functioning | Change in reaction time determined using Test for Attentional Performance | Pre to post 6 weeks of home-based exergame training | |
Secondary | Dynamic balance | Change in dynamic balance determined using Y-Balance Test | Pre to post 6 weeks of home-based exergame training | |
Secondary | Whole body adipose tissue | Change in whole body adipose tissue volume using InBody body composition analyser | Pre to post 6 weeks of home-based exergame training | |
Secondary | Visceral adipose tissue | Change in visceral adipose tissue mass using InBody body composition analyser | Pre to post 6 weeks of home-based exergame training | |
Secondary | Fat free mass | Change in fat free mass using InBody body composition analyser | Pre to post 6 weeks of home-based exergame training | |
Secondary | Blood pressure | Change in blood pressure (systolic, diastolic and mean) | Pre to post 6 weeks of home-based exergame training | |
Secondary | C-reactive protein | Change in C-reactive protein | Pre to post 6 weeks of home-based exergame training | |
Secondary | Total cholesterol | Change in total cholesterol | Pre to post 6 weeks of home-based exergame training | |
Secondary | Low Density Lipoprotein | Change in low density lipoprotein | Pre to post 6 weeks of home-based exergame training | |
Secondary | High Density Lipoprotein | Change in high density lipoprotein | Pre to post 6 weeks of home-based exergame training | |
Secondary | Triglycerides | Change in triglycerides | Pre to post 6 weeks of home-based exergame training | |
Secondary | HbA1c | Change in HbA1c | Pre to post 6 weeks of home-based exergame training | |
Secondary | Fasting glucose concentration | Change in fasting glucose concentration | Pre to post 6 weeks of home-based exergame training | |
Secondary | Fasting insulin concentration | Change in fasting insulin concentration | Pre to post 6 weeks of home-based exergame training | |
Secondary | Mean daily glucose concentration and area under the glucose curve | Change in mean daily glucose concentration and area under the glucose curve | Pre to post 6 weeks of home-based exergame training | |
Secondary | Coefficient of variation | Change in coefficient of variation in continuous glucose monitor | Pre to post 6 weeks of home-based exergame training | |
Secondary | Mean Daily steps | Change in daily steps monitored by an accelerometer in percent | Pre to post 6 weeks of home-based exergame training |
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