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Using spreading activation to understand repetitive negative thinking.

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This summary is machine-generated.

Repetitive negative thinking (RNT) may stem from a negatively biased semantic network. This study shows RNT tendencies can be measured through word associations, not just self-reports.

Keywords:
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Area of Science:

  • Cognitive Psychology
  • Clinical Psychology
  • Neuroscience

Background:

  • Repetitive negative thinking (RNT) is linked to anxiety and depression.
  • Previous RNT research relied on self-report, missing underlying mechanisms.
  • A negatively biased semantic network is a potential RNT maintenance factor.

Purpose of the Study:

  • To investigate if RNT is maintained by a negatively biased semantic network.
  • To assess state RNT using a modified free association task.
  • To determine if semantic retrieval patterns reflect RNT tendencies.

Main Methods:

  • Participants completed a modified free association task with valenced cue words.
  • State RNT was measured by the length of consecutive negative word associations (chains).
  • Trait RNT and negative affect were assessed via self-report measures.

Main Results:

  • Negative response chain length positively predicted trait RNT and negative affect.
  • This association was significant only for positive cue words.
  • Semantic retrieval patterns, specifically negative association chains, reflect RNT.

Conclusions:

  • RNT tendencies are observable in semantic retrieval processes.
  • A modified free association task can assess state RNT without self-report.
  • Findings suggest a link between semantic networks and the persistence of maladaptive thoughts.