Health Behavior Clinical Trial
Official title:
Effects and Cost-effectiveness of an mHealth Intervention to Improve Diet, Physical Activity and Sedentary Behavior Among Sedentary Workers
Background: Studies have shown the negative impact of physical inactivity, sedentary and
unhealthy eating behavior on worker health and productivity. Sedentary workers are at greater
risk of developing chronic diseases due to these behavioral risk factors. The literature
moderately supports mHealth interventions for promoting physical activity and healthy diets.
However, there is a dearth of research on mHealth interventions targeting the clustering of
physical activity, sedentary and dietary behavior among sedentary workers in the occupational
setting. Furthermore, there is a lack of evidence on its long-term sustainability and
cost-effectiveness on health behaviors as well as health-related and work- related outcomes.
Purpose: To evaluate a 12-week theory-driven, tailored mHealth intervention for improving
diet, physical activity and sedentary behavior among sedentary workers. Three specific aims
are to: (1) determine intervention participants' perceptions of and engagement with the
mHealth program components to understand intervention effects by surveys and focus groups;
(2) determine the effectiveness of the mHealth intervention compared to usual care; and (3)
determine the cost-effectiveness of the mHealth intervention compared to usual care, using
incremental cost-effectiveness ratios (ICERs).
Methods: This is a three-year research project. Year 1 is mHealth intervention delivery and
evaluation using a quasi-experimental design. Concepts of social cognitive theory of
self-regulation and self-efficacy and an ecological model provide the theoretical foundation
for the intervention. Year 2 will be primarily to evaluate the intervention. Year 3 will be
primarily an international comparison of cost-effectiveness of mHealth interventions to
improve diet, physical activity and sedentary behavior for employees.
A total of 100 sedentary workers (50 per condition) will be recruited from two workplaces.
The intervention group will have access to the Internet for using a newly developed Simple
health web app and receive an activity tracker. A sample of 100 is required to detect
differences in primary outcomes: cardiometabolic risk biomarkers, productivity loss, body
composition, physical activity, sedentary behavior, and dietary behavior; and secondary
outcomes: self-report self-efficacy and self-regulation, at baseline, 3-, 12-, and 24-month
follow up. Generalized estimating equations (GEE) will be used to examine intervention
effects over time.
The Simple health web app will consist of six major components: (1) daily healthy eating goals and records; (2) daily physical activity goals and records; (3) daily stand-up goals and records; (4) advice and reminder; (5) educational and motivational tools; and (6) personal and team health ranking. ;
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