The Effectiveness of Consumer Wearable Activity Trackers to Reduce Sedentary Behaviour and Improve Health-related Outcomes in Sedentary Adults
Overview
- Phase
- Not Applicable
- Intervention
- Not specified
- Conditions
- Sedentary Lifestyle
- Sponsor
- Hasselt University
- Enrollment
- 60
- Locations
- 1
- Primary Endpoint
- sitting time
- Status
- Completed
- Last Updated
- 4 years ago
Overview
Brief Summary
This study evaluates the effectiveness of consumer wearable activity trackers to reduce sedentary behaviour and the impact on cardiometabolic health.
Detailed Description
Chronic non-communicable diseases (NCDs), including cardiovascular diseases, cancer, chronic respiratory diseases and diabetes, are an important public health concern worldwide. Physical inactivity is one of the major contributing factors which is highly correlated with the prevalence of NCDs. On the other hand, it is well known that increased physical activity has significant health benefits and is associated with the prevention and delayed onset of many NCDs. Given the important role of physical activity in the prevention and management of NCDs it is thus important to promote physical activity. Hence, to date a multitude of physical activity recommendations and many supervised training interventions and rehabilitation programs are available to encourage physical activity in the global population. Despite this, a recent report from the World Health Organization (WHO) indicates that 23% of the adult and 80% of the adolescent population remains physically inactive. Here, long-term compliance to adequate physical activity and a healthy life style appears to be one of the main barriers explaining this discrepancy. Consequently, any strategy that improves long term adherence to adequate daily physical activity and a healthy life style, especially in an NCD population, is worthwhile investigating. In this respect and following the recent use of accelerometer-based remote monitoring of physical activity in chronic disease patients, consumer wearable activity trackers may be such a strategy. So far, consumer wearable activity trackers have been investigated mainly in the sports community. Here CWATs are used for self-monitoring and providing continuous sport performance and health related information to athletes and coaches. Interestingly, the self-management, motivational and goal setting properties of these commercially available devices may also help patients with NCDs to engage in long-term physical activity under free-living conditions in a home-based setting. Despite the widespread use of these wearables their feasibility and effectiveness on physical activity (compliance) and generic health-related outcomes, including weight, body mass index (BMI), systemic blood pressure and glycemic index, especially in patients with NCDs is not fully clear. Therefore, the aim of this study is to investigate the effectiveness of CWATs to promote physical activity levels and cardiometabolic health in sedentary adults. A better understanding to what extent CWATs can actually improve physical activity (compliance) and health outcomes is important to increase the effectiveness and quality of health care in chronic disease populations.
Investigators
Bert Op't Eijnde
Principal Investigator
Hasselt University
Eligibility Criteria
Inclusion Criteria
- •Sedentary adults
- •40-75 years,
- •\<7500steps/day,
- •sitting time of \>10h/day,
- •BMI 23-30 kg/m2,
- •body fat percentage: male: 18-25%, female: 25-35%
- •HbA1c \< 6.0%
Exclusion Criteria
- •pregnancy,
- •regularly (\>150 min per week during the last four months) engaged in moderate-to-vigorous intensity exercise,
- •any known contradiction for physical activity,
- •systolic blood pressure \>160mmHg,
- •diastolic blood pressure \>100mmHg
- •more than 20 alcohol consumptions per week,
- •plans to follow a weight reduction program with the aid of an energy restriction diet or a physical intervention program during the study period,
- •participants diagnosed with any known chronic disease.
Outcomes
Primary Outcomes
sitting time
Time Frame: week 12
sedentary behaviour will be quantified using the activPAL3™ activity monitor.
Steps per day
Time Frame: week 12
Physical activity will be quantified using the activPAL3™ activity monitor.
Secondary Outcomes
- Concentration of soluble vascular cell adhesion molecule-1 (sVCAM-1),(week 12)
- Concentration of soluble E-selectin (sE-selectin).(week 12)
- A six-minute walk test(week 12)
- body weight(week 12)
- Concentration of total cholesterol(baseline)
- total cholesterol(week 12)
- Concentration of interleukin 6 (IL-6),(week 12)
- Concentration of tumor necrosis factor-alpha (TNF-α),(week 12)
- Area under the curve of glucose concentrations(week 12)
- Height(week 12)
- Minute ventilation (VE)(week 12)
- Heart rate (HR)(week 12)
- Concentration of glucose(week 12)
- Concentration of low density lipoprotein cholesterol (LDL-cholesterol)(week 12)
- Concentration of triglyceride(week 12)
- Concentration of glycated haemoglobin (HbA1c)(week 12)
- Concentration of C-reactive protein (CRP)(week 12)
- Concentration of soluble intercellular adhesion molecule 1 (sICAM-1)(week 12)
- Homeostatic model assessment for insulin resistance (HOMA-IR)(week 12)
- Whole-body insulin sensitivity index (ISI)(week 12)
- Cardiac autonomic function(week 12)
- Oxygen uptake (VO2)(week 12)
- Tidal volume (Vt)(week 12)
- Breathing frequency (BF)(week 12)
- DEXA (Dual Energy X-Ray)(week 12)
- Concentration of Insuline(week 12)
- Concentration of high density lipoprotein cholesterol (HDL-cholesterol)(week 12)
- Area under the curve of insulin concentrations(week 12)
- Concentration of uric acid(week 12)
- Concentration of serum amyloid A (SAA)(week 12)
- Vascular endothelial function(week 12)
- Carbon dioxide output (VCO2)(week 12)
- Equivalents for carbon dioxide production (VE/VCO2)(week 12)
- Respiratory gas exchange ratio (RER)(week 12)
- Insulinogenic index(week 12)
- Systolic and Diastolic Blood pressure(week 12)
- Equivalents for oxygen uptake (VE/VO2)(week 12)
- Total calorie intake(week 12)
- Macronutrient content(week 12)
- Relative autonomy index(week 12)