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Targeting automatic processes to reduce unhealthy behaviours: a process framework.

Junilla K Larsen1, Gareth J Hollands2

  • 1Behavioural Science Institute, Radboud University, Nijmegen, the Netherlands.

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Summary
This summary is machine-generated.

This study introduces a new framework to guide the selection of interventions targeting automatic processes for behavior change. It categorizes strategies to help choose the most effective approach for reducing unhealthy behaviors.

Keywords:
Automatic processesaddictionhealth behavioursimpulsivityintervention techniquesself-control

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Area of Science:

  • Behavioral Science
  • Psychology
  • Health Interventions

Background:

  • Existing frameworks for health behavior interventions lack theoretical guidance for selecting strategies targeting automatic processes.
  • Decisions on intervention strategies are often arbitrary, hindering effective behavior change efforts.

Purpose of the Study:

  • To propose a novel process framework to guide the selection of intervention strategies targeting automatic processes.
  • To differentiate intervention strategies based on the timeline of automatic response unfolding.

Main Methods:

  • Developed a process framework building upon the process model of emotion regulation.
  • Categorized intervention strategies into three broad classes: direct antecedent, indirect antecedent, and response-focused.

Main Results:

  • Antecedent-focused strategies include situation modification, situation-specific response selection, attentional deployment, and cognitive change.
  • Response-focused strategies involve direct downregulation of automatic unwanted responses (response modulation).

Conclusions:

  • The proposed framework offers practical guidance for selecting interventions to reduce unhealthy behaviors.
  • Three working hypotheses derived from the framework require future empirical testing.