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Dependent Personality and Interpersonal Dependency: At the Intersection of Developmental, Identity and Interpersonal Aspects.

  • Published In: British Journal of Psychotherapy, 2023, v. 39, n. 1. P. 212 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Zivkovic, Ales 3 of 3

Abstract

The author examines dependency as a pathological personality feature—one that originates in failures of developmental need fulfilment—and shows how the subsequent identity impairment may influence adult relationships. The author argues that, developmentally, the caregiver's unresolved pathological dependency causes a disruption in the child's need gratification as the child's focus is turned towards the caregiver's pathological needs. Internal object relations become characterized by a dependent internal object and need‐fulfilling self‐representation, which are supported developmentally by the disavowal of authentic dependency needs. In adult life, the individual's identity and self‐esteem, through projections, become dependent on interpersonal relationships, which are used to control internal cohesion at the expense of authentic attachment and intimacy. Pathological dependency is thus intrapsychic rather than merely interpersonal. The author also explores the concept of excessive independence, that is, through identification with independence as an ego ideal, considered a defensive attempt to disidentify from an underlying pathological dependency. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:British Journal of Psychotherapy. 2023/02, Vol. 39, Issue 1, p212
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2023
  • ISSN:0265-9883
  • DOI:10.1111/bjp.12802
  • Accession Number:161365240
  • Copyright Statement:Copyright of British Journal of Psychotherapy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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