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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Errors as a Means of Reducing Impulsive Food Choice
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Automatic and Controlled Processing: Implications for Eating Behavior.

Sophia Fürtjes1, Joseph A King1, Caspar Goeke2

  • 1Division of Psychological and Social Medicine and Developmental Neuroscience, Faculty of Medicine, Technische Universität Dresden, 01069 Dresden, Germany.

Nutrients
|April 25, 2020
PubMed
Summary
This summary is machine-generated.

Human eating behavior is driven by automatic processes and habits, not just conscious control. Self-control influences unhealthy eating indirectly by shaping habits, suggesting habit modification is key for dietary goals.

Keywords:
automaticitycognitive controlcontext-specific proportion congruenteating behaviorhabitself-control

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Area of Science:

  • Psychology
  • Behavioral Science
  • Neuroscience

Background:

  • Eating behavior is commonly perceived as volitional, yet influenced by automatic cues and habits.
  • The distinction between automatic and controlled cognitive processing is being re-evaluated, with evidence suggesting interplay.

Purpose of the Study:

  • To investigate the interaction between automatic and controlled processing measures and their impact on eating behavior.
  • To examine the role of self-control in mediating the relationship between processing styles and unhealthy eating patterns.

Main Methods:

  • Utilized a large sample of 567 females.
  • Employed a modified flanker task with context-specific proportion congruent (CSPC) manipulation to assess automatic processing.
  • Used structural equation modeling to analyze task-based and self-reported measures of processing and eating behavior.

Main Results:

  • Automatic processing, not controlled processing, was inversely associated with self-reported self-control.
  • Self-control indirectly influenced unhealthy eating (e.g., high fat/sugar intake, emotional eating) via habitual behavior.
  • Habitual behavior strongly predicted unhealthy eating, which correlated with outcomes like body mass index (BMI).

Conclusions:

  • Eating behavior appears predominantly governed by automaticity and habits.
  • Self-control may facilitate the link between automatic processes and eating habits.
  • Effective self-control over eating involves managing contextual cues and establishing goal-aligned habits.