665
Views
13
CrossRef citations to date
0
Altmetric
Original Articles

Genetic and Individual Influences on Predictors of Disclosure: Exploring Variation in the Oxytocin Receptor Gene and Attachment Security

Pages 113-133 | Published online: 19 Jan 2015
 

Abstract

The present study explores the associations among allelic variation in the oxytocin receptor gene (OXTR), attachment security, and predictors of disclosure. Using the risk revelation model as a guiding framework, risk assessments, communication efficacy, and closeness were investigated. Two-hundred four participants provided saliva samples (from which DNA was extracted) and completed surveys addressing aspects of disclosure, attachment, and relationship characteristics. The results revealed significant interactions between OXTR and attachment security on risk assessments and closeness. Insecurely attached individuals showed greater variability in their assessments of the risks of disclosing and feelings of closeness based on their genotype compared to individuals who were securely attached. Insecurely attached individuals with a known “risk allele” (i.e., the A allele) were more likely to see risks to disclosing to their romantic partners and rated closeness with their partners lower than those with the alternative genotype (i.e., the GG genotype). These findings and their implications for theories of disclosure are discussed.

Acknowledgments

The author wishes to thank the editors and reviewers for their invaluable feedback and assistance.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 183.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.