GPIB Jemaat Bukit Zaitun
Makassar, South Sulawesi, 90134, Indonesia
NCT Number: NCT07089667
Virtual Reality exergame is a video games that combine body motion control with physical activity in a safe virtual environment. In the elderly, VR exergames like the Nintendo Switch RingFit Adventure aid rehabilitation, improving physical function, cognition, balance and mental well-being. These games overcome the boredom of traditional exercise with a multisensory and interactive environment that engages the whole body. The general objective of the present research is to evaluate the effectiveness of virtual reality exergames on physical activity and fitness in the elderly.
Design : This study is an experimental study with a randomized controlled trial - double blind design. This experimental study was conducted with blinding, specifically a single blinding where the researcher and data analyst (statistician) did not know the allocation of samples to the intervention and control groups.
Looking for future studies?
Notify Me60 year and older
All sexes
Interventional
Not applicable
Makassar, South Sulawesi, 90134, Indonesia
Aging is associated with a decline in biological, physiological, and functional capacities, impacting muscle strength, flexibility, balance, and the ability to perform daily activities. This decline adversely affects the quality of life in the elderly, measurable through the concept of healthy adjusted life expectancy (HALE). In Indonesia, the average HALE is 62.25 years, indicating a loss of approximately 8.85 years due to chronic diseases and disabilities.
One effective strategy to address chronic diseases and disabilities is the implementation of physical activities or exercises, including aerobic, strength, flexibility, and balance training, as recommended by the World Health Organization (WHO). Aerobic exercise not only enhances cardiovascular and pulmonary function but also provides broader benefits to both physical and mental health. However, adherence and motivation in elderly populations are often low due to external factors such as limited mobility and unsupportive environments.
To overcome these challenges, exergames have emerged as an innovative intervention combining active video gaming with physical exercise. Virtual Reality (VR) exergames, such as the Nintendo Switch RingFit Adventure, offer immersive, multisensory, and interactive environments that enhance motivation for exercise among older adults. Evidence suggests that VR exergame interventions can improve physical function, reduce symptoms of depression and anxiety, and enhance health-related quality of life, although research on fitness outcomes in the elderly remains limited and warrants further investigation.
The general objective : to evaluate the effectiveness of virtual reality exergames on physical activity and fitness in the elderly.
Specific objectives:
Methods : This study is an experimental study with a randomized controlled trial - double blind design. The study sample consisted of 40 patients assigned to the intervention group (n=20) or control group (n=20). The study will be conducted from February 2024 to June 2024, targeting the elderly population in Makassar City, South Sulawesi, Indonesia. The accessible population consists of elderly individuals in the Zaitun Elderly Community.
Researcher will compare the intervention group, which participates in virtual reality exergame-based aerobic exercise, with the control group, which engages in video-based aerobic exercise provided by the Ministry of Health, focusing on physical activity and physical fitness outcomes.
Ethical Approval and Sample Criteria This study has obtained ethical approval from the Ethics Committee of the Faculty of Medicine, Hasanuddin University, Makassar, Indonesia, to ensure the quality and compliance of the research.
The data collected will undergo descriptive analysis to outline the characteristics of the participants. For hypothesis testing, chi-square or McNemar tests will be used for categorical dependent variables, while t-tests will analyze numerical dependent variables. The effects of VR exergame compared to aerobic exercise will be assessed using independent t-tests for normally distributed data and Mann-Whitney tests for non-normal data. Normality and homogeneity of numerical dependent variables will be evaluated using the Kolmogorov-Smirnov test, with p-values greater than 0.05 indicating normal distribution. Results will be comprehensively discussed by the research team and experts to draw appropriate conclusions. Correlation between variables will be measured using Pearson's correlation for normally distributed numerical data, Spearman's test for ordinal categorical data, or contingency coefficients for nominal categorical data. All analyses will be conducted using SPSS version 23.
Healthy volunteers accepted: Yes
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
virtual reality exergame using Nintendo RingFit
Conventional-based aerobic exercise using video aerobic exercise of the Ministry of Health (KEMENKES) protocol
Time frame: Physical activity was assessed at week 0 (before the intervention) and week 6 (after the intervention) to evaluate changes in participants' physical activity levels during the intervention period.
Physical activity was measured using the Indonesian version of the International Physical Activity Questionnaire (IPAQ) - Short Form.
The International Physical Activity Questionnaire (IPAQ) score is calculated by assessing the duration and frequency of physical activities across three categories: walking, moderate-intensity, and vigorous-intensity activities. Each category is assigned a standard Metabolic Equivalent of Task (MET) value, namely 3.3 METs for walking, 4.0 METs for moderate activities, and 8.0 METs for vigorous activities. The weekly total MET-minutes are obtained by multiplying the MET value by the minutes per day and the number of days per week for each activity type, then summing these values across all categories. Based on the total MET-minutes per week, physical activity levels are interpreted :
Time frame: Body composition (muscle mass) was assessed at week 0 (before the intervention) and week 6 (after the intervention) to evaluate changes in participants' body composition during the intervention period.
The body composition (muscle mass) parameter is integratedly measured using Bioelectrical Impedance Analysis (BIA) with the Tanita BC 730 device.
interpretation : Muscle mass, also presented as a percentage, reflects lean body mass important for function, with males aged 60-79 years ranging from 70-84% and females from 60-72.5%.
Time frame: Hand muscle strength was assessed at week 0 (before the intervention) and week 6 (after the intervention) to evaluate changes in participants' hand muscle strength during the intervention period.
Hand muscle strength was measured using an electronic hand dynamometer, CAMRY ISO 9001 model EH101.
Time frame: Muscle endurance was assessed at week 0 (prior to the intervention) and week 6 (post-intervention) to evaluate changes in participants' muscle endurance throughout the intervention period.
Muscle endurance was measured using the 30-second sit-to-stand test with a stopwatch
Time frame: Flexibility was assessed at week 0 (prior to the intervention) and week 6 (post-intervention) to evaluate changes in participants' flexibility throughout the intervention period.
Flexibility was assessed using the Chair Sit-and-Reach Test.
Time frame: Body composition (fat mass) was assessed at week 0 (before the intervention) and week 6 (after the intervention) to evaluate changes in participants' body composition during the intervention period.
The body composition (fat mass) parameter is integratedly measured using Bioelectrical Impedance Analysis (BIA) with the Tanita BC 730 device.
Interpretation :
Fat mass is expressed as a percentage of total body weight, varying by age and sex; for instance, males over 40 years typically range from 11-24%, while females range from 23-35%.
Time frame: Body composition (bone mass) was assessed at week 0 (before the intervention) and week 6 (after the intervention) to evaluate changes in participants' body composition during the intervention period.
The body composition (bone mass) parameter is integratedly measured using Bioelectrical Impedance Analysis (BIA) with the Tanita BC 730 device.
interpretation : Bone mass is reported in kilograms and stratified by weight and sex, such as 2.65-3.29 kg for males weighing 65-95 kg and about 2.40 kg for females weighing between 50-75 kg.
Hasanuddin University
Other
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT06546995
Alzheimer Disease, Alzheimer's Disease
Chandler, Arizona, United States
View Trial DetailsNCT06646458
Healthy Elderly, Healthy Volunteers
Shanghai, Shanghai Municipality, China
View Trial DetailsNCT06908395
Eye Diseases, Healthy Elderly
Aachen, Germany
View Trial DetailsNCT04795284
Bone Diseases, Healthy Elderly
Trois-Rivières, Quebec, Canada
View Trial Details