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Infidelity in romantic relationships.

Frank D Fincham1, Ross W May1

  • 1The Florida State University, USA.

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|August 17, 2017
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Summary
This summary is machine-generated.

Understanding infidelity predictors is crucial for relationship wellness. This research reviews factors like demographics, cohabitation, and internet use, offering recommendations for future studies on sexual infidelity.

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Area of Science:

  • Psychology
  • Sociology
  • Relationship Science

Background:

  • Infidelity significantly impacts relationship wellness and individual well-being.
  • Research on infidelity prediction is fragmented, necessitating a consolidated overview.
  • Diverse terminology and prevalence rates complicate the study of infidelity.

Purpose of the Study:

  • To summarize current research on predicting infidelity.
  • To identify individual, relationship, and contextual predictors of infidelity.
  • To provide recommendations for future research directions in infidelity studies.

Main Methods:

  • Systematic review of existing literature on infidelity prediction.
  • Analysis of demographic, relationship, and contextual factors.
  • Identification of trends such as the closing gender gap and the role of the internet.

Main Results:

  • Prevalence, terminology, and wellness impacts of infidelity are discussed.
  • Key predictors include demographics, cohabitation, religion, and online behaviors.
  • The internet has emerged as a significant facilitator of infidelity.

Conclusions:

  • Future research should focus on a nuanced understanding of infidelity predictors.
  • Recommendations are provided to advance the scientific understanding of sexual infidelity.
  • Addressing factors like the internet's role is vital for contemporary infidelity research.