A control system model of capability-opportunity-motivation and behaviour (COM-B) framework for sedentary and physical activity behaviours

Author:

Daryabeygi-Khotbehsara Reza1ORCID,Dunstan David W.12,Shariful Islam Sheikh Mohammed1ORCID,Rhodes Ryan E.3,Hojjatinia Sahar4,Abdelrazek Mohamed5,Hekler Eric67,Markides Brittany1,Maddison Ralph1

Affiliation:

1. Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia

2. Baker-Deakin Department Lifestyle and Diabetes, Deakin University, Geelong, Australia

3. Behavioural Medicine Laboratory, School of Exercise Science, Physical and Health Education, University of Victoria, Victoria, BC, Canada

4. School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, State College, PA, USA

5. School of Information Technology, Deakin University, Geelong, Australia

6. Center for Wireless and Population Health Systems, the Qualcomm Institute, and the Department of Family Medicine and Public Health, University of California, San Diego, USA

7. Exercise and Physical Activity Resource Center, University of California, San Diego, USA

Abstract

Objective Theoretical frameworks are essential for understanding behaviour change, yet their current use is inadequate to capture the complexity of human behaviour such as physical activity. Real-time and big data analytics can assist in the development of more testable and dynamic models of current theories. To transform current behavioural theories into more dynamic models, it is recommended that researchers adopt principles such as control systems engineering. In this article, we aim to describe a control system model of capability-opportunity-motivation and behaviour (COM-B) framework for reducing sedentary behaviour (SB) and increasing physical activity (PA) in adults. Methods The COM-B model is explained in terms of control systems. Examples of effective behaviour change techniques (BCTs) (e.g. goal setting, problem-solving and social support) for reducing SB and increasing PA were mapped to the COM-B model for illustration. Result A fluid analogy of the COM-B system is presented. Conclusions The proposed integrated model will enable empirical testing of individual behaviour change components (i.e. BCTs) and contribute to the optimisation of digital behaviour change interventions.

Funder

Deakin University, Australia

Publisher

SAGE Publications

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