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Related Experiment Video

Updated: Feb 14, 2026

Reducing State Anxiety Using Working Memory Maintenance
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Published on: July 19, 2017

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Deconstructing trait anxiety: a network perspective.

Alexandre Heeren1,2,3, Emily E Bernstein1, Richard J McNally1

  • 1a Department of Psychology , Harvard University , Cambridge , MA , USA.

Anxiety, Stress, and Coping
|February 14, 2018
PubMed
Summary
This summary is machine-generated.

Trait anxiety is now understood as a network of interacting thoughts, feelings, and behaviors, not a latent cause. This network perspective offers new insights into anxiety-related psychopathology.

Keywords:
Trait anxietyanxietygraph theorygraphical gaussian modelnetwork analysisnetwork theory of personality

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Area of Science:

  • Psychology
  • Network Science
  • Personality Research

Background:

  • Traditional trait anxiety research views it as a latent cause of symptoms.
  • Emerging network theory proposes personality constructs arise from interactions.
  • Trait anxiety is reconceptualized as a system of interconnected elements.

Purpose of the Study:

  • To characterize trait anxiety using a network system approach.
  • To investigate the interconnectedness of trait anxiety's features.
  • To explore a novel perspective on trait anxiety.

Main Methods:

  • Estimated a graphical Gaussian model using a regularized partial correlation network.
  • Analyzed an unselected sample of 611 individuals.
  • Applied modularity-based community detection analysis.

Main Results:

  • Trait anxiety was confirmed as a single, coherent network system.
  • Empirical evidence supports the network conceptualization of trait anxiety.
  • Identified the interplay between constitutive features of trait anxiety.

Conclusions:

  • Trait anxiety can be effectively modeled as an interacting network.
  • This network visualization provides novel insights into anxiety's features.
  • Findings open avenues for future research on anxiety psychopathology.