CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .
The design and progress of a multidomain lifestyle intervention to improve brain health in middle-aged persons to reduce later Alzheimer's disease risk: The Gray Matters randomized trial
Introduction Most Alzheimer 's disease ( AD ) prevention studies focus on older adults or persons with existing cognitive impairment . This study describes the design and progress of a novel pilot intervention , the Gray Matters study . Methods This proof-of-concept r and omized controlled trial tests an evidence -based multidomain lifestyle intervention in 146 persons aged 40 to 64 years , in northern Utah . Data collectors were blinded to participants ' r and omization to treatment ( n = 104 ) or control ( n = 42 ) . Intervention targeted physical activity , food choices , social engagement , cognitive simulation , sleep quality , and stress management , and uses a custom smartphone application , activity monitor , and educational material s. Secondary outcomes include biomarkers , body mass index , cognitive testing , and psychological surveys . Results Midway through the study , achievements include a 98.7 % retention rate , a 96 % rate of compliance with app data entry , and positive trends in behavioral change . Discussion Participants were empowered , learning that lifestyle might impact AD risk , exhibiting positive behavioral changes thus far
CONCLUSIONS Utilizing a consumer-based wearable activity tracker as either the primary component of an intervention or as part of a broader physical activity intervention has the potential to increase physical activity participation .
BACKGROUND The range of benefits associated with regular physical activity participation is irrefutable .
Despite the well-known benefits , physical inactivity remains one of the major contributing factors to ill-health throughout industrialized countries .
Traditional lifestyle interventions such as group education or telephone counseling are effective at increasing physical activity participation ; however , physical activity levels tend to decline over time .
Consumer-based wearable activity trackers that allow users to objective ly monitor activity levels are now widely available and may offer an alternative method for assisting individuals to remain physically active .
OBJECTIVE This review aim ed to determine the effects of interventions utilizing consumer-based wearable activity trackers on physical activity participation and sedentary behavior when compared with interventions that do not utilize activity tracker feedback .