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

Martin S Hagger; Kyra Hamilton

doi:10.1017/S0140525X23001012

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

Behav Brain Sci. 2023 Aug 30:46:e157. doi: 10.1017/S0140525X23001012.

Authors

Martin S Hagger^{1

2

3

4}, Kyra Hamilton^{1

2

3

4

5}

Affiliations

¹ Department of Psychological Sciences, University of California, Merced, CA, USA mhagger@ucmerced.edu; www.martinhagger.com.
² Health Sciences Research Institute, University of California, Merced, CA, USA.
³ Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland.
⁴ School of Applied Psychology, Griffith University, Mount Gravatt, QLD, Australia.
⁵ Menzies Health Institute Queensland, Griffith University, Gold Coast, QLD, Australia kyra.hamilton@griffith.edu.au; www.hapiresearchlab.com.

PMID: 37646242
DOI: 10.1017/S0140525X23001012

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.

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