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Experiential avoidance and well-being: a daily diary analysis.

Kyla A Machell1, Fallon R Goodman, Todd B Kashdan

  • 1a Department of Psychology , George Mason University , Fairfax , VA , USA.

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Summary
This summary is machine-generated.

Experiential avoidance (EA), the effort to suppress unpleasant feelings, negatively impacts daily well-being. Daily diary studies show that avoiding anxiety reduces positive emotions and life meaning, highlighting EA

Keywords:
Daily diary methodologyExperiential avoidanceWell-being

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Area of Science:

  • Psychology
  • Clinical Psychology
  • Behavioral Science

Background:

  • Experiential avoidance (EA) is a strategy to control or avoid unpleasant internal experiences.
  • Previous research primarily used trait measures, neglecting EA's impact in naturalistic settings.
  • A gap exists in understanding EA's daily fluctuations and effects on psychological functioning.

Purpose of the Study:

  • To investigate the influence of daily experiential avoidance (EA) of anxiety on everyday well-being.
  • To examine how EA affects positive and negative affect, daily enjoyment, and meaning in life (MIL).
  • To compare the predictive power of a daily EA measure versus a traditional trait measure.

Main Methods:

  • Utilized daily diary methodology over two weeks with 89 participants.
  • Collected daily self-reports on EA, positive affect, negative affect, event enjoyment, and MIL.
  • Employed statistical analyses to assess the relationships between daily EA and well-being indicators.

Main Results:

  • Daily EA significantly predicted increased negative affect and decreased positive affect.
  • Experiential avoidance was associated with reduced enjoyment of daily activities and lower MIL.
  • The daily EA measure demonstrated stronger predictive validity for daily well-being than a trait measure.

Conclusions:

  • Experiential avoidance has detrimental effects on daily psychological well-being.
  • EA appears to be a context-specific regulatory strategy.
  • State-dependent measures may be more effective for capturing the nuances of EA.