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Optimizing behavior change through integration of individual- and system-level intervention approaches

Published online by Cambridge University Press:  30 August 2023

Martin S. Hagger Open the ORCID record for Martin S. Hagger [Opens in a new window]  and
Kyra Hamilton Open the ORCID record for Kyra Hamilton [Opens in a new window]
Martin S. Hagger
Affiliation:
Department of Psychological Sciences, University of California, Merced, CA, USA mhagger@ucmerced.edu; www.martinhagger.com Health Sciences Research Institute, University of California, Merced, CA, USA Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland School of Applied Psychology, Griffith University, Mount Gravatt, QLD, Australia
Kyra Hamilton
Affiliation:
Department of Psychological Sciences, University of California, Merced, CA, USA mhagger@ucmerced.edu; www.martinhagger.com Health Sciences Research Institute, University of California, Merced, CA, USA Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland School of Applied Psychology, Griffith University, Mount Gravatt, QLD, Australia Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia kyra.hamilton@griffith.edu.au; www.hapiresearchlab.com
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Abstract

We contend that individual-level (“i-frame”) intervention strategies can be appropriately integrated with system-level (“s-frame”) strategies to optimize population-level behavior change. We outline instances of effective “i-frame” interventions, and how coordinated, integrated, well-resourced interventions that encompass components at both levels, and has organizational and user-group support, may optimize sustained behavior change intervention efforts, and allay practices that undermine “s-frame” components.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e157
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Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

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