Overall , these aggregations of data provide evidence that DHIs can reduce CVD outcomes and have a positive impact on risk factors for CVD
OBJECTIVE To assess the potential benefit of digital health interventions ( DHIs ) on  cardiovascular disease ( CVD ) outcomes ( CVD events , all-cause mortality , hospitalizations ) and risk factors compared with non-DHIs .
Effect of a Web-Based Intervention to Promote Physical Activity and Improve Health Among Physically Inactive Adults: A Population-Based Randomized Controlled Trial
Background Many people in Western countries do not follow public health physical activity ( PA ) recommendations . Web-based interventions provide cost- and time-efficient means of delivering individually targeted lifestyle modification at a population level . Objective To examine whether access to a website with individually tailored feedback and suggestions on how to increase PA led to improved PA , anthropometrics , and health measurements . Methods Physically inactive adults ( n = 12,287 ) participating in a nationwide eHealth survey and health examination in Denmark were r and omly assigned to either an intervention ( website ) ( n = 6055 ) or a no-intervention control group ( n = 6232 ) in 2008 . The intervention website was founded on the theories of stages of change and of planned behavior and , apart from a forum page where a physiotherapist answered questions about PA and training , was fully automated . After 3 and again after 6 months we emailed participants invitations to answer a Web-based follow-up question naire , which included the long version of the International Physical Activity Question naire . A subgroup of participants ( n = 1190 ) were invited to a follow-up health examination at 3 months . Results Less than 22.0 % ( 694/3156 ) of the participants logged on to the website once and only 7.0 % ( 222/3159 ) logged on frequently . We found no difference in PA level between the website and control groups at 3- and 6-month follow-ups . By dividing participants into three groups according to use of the intervention website , we found a significant difference in total and leisure-time PA in the website group . The follow-up health examination showed no significant reductions in body mass index , waist circumference , body fat percentage , and blood pressure , or improvements in arm strength and aerobic fitness in the website group . Conclusions Based on our findings , we suggest that active users of a Web-based PA intervention can improve their level of PA . However , for unmotivated users , single-tailored feedback may be too brief . Future research should focus on developing more sophisticated interventions with the potential to reach both motivated and unmotivated sedentary individuals . Trial Registration Clinical trials.gov NCT01295203 ; http:// clinical trials.gov/ct2/show/NCT01295203 ( Archived by WebCite at http://www.webcitation.org/6B7HDMqiQ
Overall , these aggregations of data provide evidence that DHIs can reduce CVD outcomes and have a positive impact on risk factors for CVD
OBJECTIVE To assess the potential benefit of digital health interventions ( DHIs ) on  cardiovascular disease ( CVD ) outcomes ( CVD events , all-cause mortality , hospitalizations ) and risk factors compared with non-DHIs .