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Computational Model for Changing Sedentary Behavior Through Cognitive Beliefs and Introspective Body-Feelings

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Computational Model for Changing Sedentary Behavior Through Cognitive Beliefs and Introspective Body-Feelings Computational Model for Changing Sedentary Behavior through Cognitive Beliefs and Introspective Body-feelings Fawad Taj1,2 a, Nimat Ullah1,3 b and Michel Klein1c 1Social AI group, Dept. of Computer Science, VU Amsterdam, Amsterdam, The Netherlands 2Dept. of Computer Science, University of Swabi, Swabi, Pakistan 3Dept. of Computer Science, FATA University, TSD Dara, Kohat, Pakistan Keywords: 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. 1 INTRODUCTION A number of theories and models from social and behavioral sciences can assist us to make sense of Sitting behaviour is characterized by any waking behaviour and the world around us. More specifically behavior with an energy expenditure of ≤1.5 for sedentary behavior, a number of ecological metabolic equivalents (METs). You can be sedentary model/theories are proposed, but they are seldomly at work, at school, at home, when travelling or during used. In a recent review (Huang, Benford, & Blake, leisure time while watching television, studying or 2019), 19 out of 63 digital interventions for sedentary working at a desk or computer. A person can do behavior are based on some theoretical grounds enough physical activity to meet the guidelines and (among them the theory of planned behavior is used still be considered sedentary if he/she spends a large for 5 times and social cognitive theory for 4 times). amount of his/her time sitting or lying down Whereas from digital technological prospective the (Weggemans et al., 2018). Moreover, low level or sedentary behavior intervention mostly uses mobile moderate-to-vigorous level physical activity is not the apps and wearable sensors (Taj, Klein, & van same as being sedentary for example, I cycle to the Halteren, 2019). Sedentary behavior interventions office every day (which is Dutch culture) and then sit usually follow ecological models that define at a computer for around 6-7 hours, so it is possible multifaceted determinants of the problem, including for being highly sedentary and highly active at the individual, social, and environmental policy level same time. Prolonged sitting has several adverse (Owen et al., 2011). health outcomes including increased risk of type 2 A shortcoming of the ecological model is that they diabetes, higher risk of premature death and death fail to acknowledge the role of psycho-social from cardiovascular disease (Australian Government variables in explaining sedentary behavior guidelines for sedentary behavior, 2019) (Prapavessis et al., 2015). On an individual level, (Weggemans et al., 2018). different characteristic like beliefs, motivation or a https://orcid.org/0000-0001-9049-1736 b https://orcid.org/0000-0002-0592-8380 c https://orcid.org/0000-0003-4119-1846 443 Taj, F., Ullah, N. and Klein, M. Computational Model for Changing Sedentary Behavior through Cognitive Beliefs and Introspective Body-feelings. DOI: 10.5220/0010247704430450 In Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2021) - Volume 5: HEALTHINF, pages 443-450 ISBN: 978-989-758-490-9 Copyright c 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved HEALTHINF 2021 - 14th International Conference on Health Informatics intention etc. can influence sedentary behavior. For actual sedentary time. The intermediate determinants understanding these types of determinants, socio- of intention are attitude, subjective norms (SN), and cognitive theories are the best options to be reached perceived behavioral control (PBC). Attitude out (Sallis, Owen, & Fisher, 2015). Sedentary represents an individual’s evaluation of the perceived behavior in the workplace is high; 71–77% of benefits and cost of sitting, SN reflects a belief about working hours are being spent sedentary (Scherer, whether most people approve or disapprove an action, 2005). It requires minimal effort or conscious and PBC refers to individual’s perception of their planning and is highly habitual. To change workplace ability to control the time they spend being sedentary sedentary behavior, we need to target these (Prapavessis et al., 2015, Ajzen, 2005). determinants using effective behavior change Health belief model (HBM) is the theory mostly strategies, which will also be discussed later in the used to identify the determinants which explain the paper. likelihood of engaging in health-promoting behavior. In this paper, we focus on a conceptual model that Perceived outcomes and self-efficacy are the main considers psycho-social determinants to reason about constructs in HBM. Similarly, from Social Cognitive sedentary behavior and use different behavior change Theory (SCT), self-efficacy construct suggests a techniques to break a sedentary behavior. setting of realistic and measurable goals to ensure The aims of this research includes: Identifying initial success and the outcome expectancies the key psycho-social determinants from different construct would suggest highlighting the benefits of health cognitive theories for sedentary behaviour. reducing sedentary time e.g., reduced muscle stiffness Exploring the popular behavior change etc. (Owen et al., 2011). The application of social strategies/techniques from literature to target these cognitive theory for health behavior change has determinants ans lastly, modeling the findings as a focused predominantly on increasing self-efficacy, computational network model and simulating an for example, confidence in one’s own abilities office employee working scenario using the model. (Bandura, 1998). The perceived self-efficacy is In Section 2 of the paper, the background of the highly correlated with goal attainment, higher the constructs from different theories are given and self-efficacy, higher the goals people set for discusses the behavior change techniques (BCTs) that themselves (Bandura, 2004). There exists a fair can be used to influence these determinants. In amount of cross-sectional studies that correlate social section 3, the conceptual and mathematical cognitive constructs to workplace setting but the representation of network-oriented model is association between social-cognitive factors and presented. Section 4 contains the scenario and the sedentary behavior needs much more exploration simulation results. The paper has been concluded in (Hadgraft et al., 2017). Section 5 with a brief insight into the future Among different theoretical models, most of the directions. determinants are overlapping and most of the researcher overload their studies with the dictum that more is better (Bandura, 2004). The determinants 2 BACKGROUND discussed above are basically the internal cognitive beliefs of humans. We represented these determinants This section provides the background for the model as positive and negative beliefs, for example, we proposed. In the first part, theories and working of perceived benefit (HBM) and self-efficacy (HBM, TPB, SCT) are the positive beliefs about the action. its determinants/parameters are discussed with linkage to sedentary behaviors. The second part of Similarly, perceived severity and susceptibility to disease/behavior (HBM) are the negative beliefs this section discusses different behaviour change about the outcomes. Moreover, subjective norms in techniques with its association to the determinants of the theories. TPB corresponds to expected social outcomes for a given behavior. Perceived behavioral control in TPB 2.1 Socio-psychological Determinants overlaps with perceived self-efficacy in SCT (Bandura, 2004). Most of the health cognitive theories describe possible relationships between the psycho-social 2.2 Behavior Change Techniques factors and sedentary behavior, but theory of planned behavior (TPB) has been mostly used in this context In any intervention, BCTs are an important active ingredient that may explain study variation in- (Prapavessis et al., 2015). According to TPB, an individual’s intention is the main determinant of effectiveness. Effective sedentary reduction 444 Computational Model for Changing Sedentary Behavior through Cognitive Beliefs and Introspective Body-feelings intervention depends on understanding and reasoning benefit are presented as positive beliefs about the about what works and why (Michie et al., 2013). A current sedentary behaviour and the perceived taxonomy is available which describes 93 discrete susceptibility and severity are negative beliefs about behaviour change techniques that can be used in sedentary behaviour. The two types of actions i.e., interventions within any behavioural domain e.g. sedentary behaviour (sitting) and non-sedentary providing information on health consequences,
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