Authors:
Fawad Taj
1
;
2
;
Nimat Ullah
3
;
2
and
Michel Klein
2
Affiliations:
1
Dept. of Computer Science, University of Swabi, Swabi, Pakistan
;
2
Social AI group, Dept. of Computer Science, VU Amsterdam, Amsterdam, The Netherlands
;
3
Dept. of Computer Science, FATA University, TSD Dara, Kohat, Pakistan
Keyword(s):
Digital Health, Sedentary Behavior, Theory of Planned Behavior, Health Belief Model, Network Oriented Modelling.
Abstract:
Sedentary behavior has emerged as a serious risk factor for numerous health outcomes. However, little work has been done to approach the problem through social-cognitive theories. In this study, a network model has been proposed for sedentary behavior intervention based on Influential determinants from major social-cognitive theories i.e., theory of planned behavior and health-belief model. Accounting for these determinants means that we are influencing behavior with a peripheral route, for which we included the somatic markers as a body-feelings in the model. An effective behavior change techniques from literature are used to affect these determinants to change the sedentary behavior. The model has been mathematically represented and simulated using a network-oriented modelling technique for an office employee.