Predicting Depression Using Earliest Childhood Memories

Marvin W. Acklin, Ann Sauer, Gene Alexander, Bernard Dugoni

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

In order to investigate the utility of earliest childhood memories (EMs) in clinical assessment, this study investigated the value of EMs in predicting naturally occurring depressive mood states. Of interest were those features of EMs that discriminate depressed from nondepressed individuals. Subjects were 212 undergraduate volunteers who completed the Beck Depression Inventory, the Profile of Mood States, and a self-administered EM questionnaire. Utilizing thematic predictors derived from cognitive and psychodynamic theories of depression, depressed subjects were differentiated from nondepressed subjects at a rate significantly greater than chance, p <.001, with a highly respectable estimate of cross-validation shrinkage. The findings demonstrate the phenomenon of mood dependent recall in autobiographical memory, namely, that memory attributes are strongly influenced by current mood state. Consistent with psychodynamic theories of depression and in contrast to cognitive theory, depressive mood states appear to facilitate retrieval of memory schemas involving deprivation and disturbing human interaction. Schemas involving loss of control, failure, or reactions to noncontingent reinforcement (perceptions of the self as agent) appear less salient than relationship schemas (perceptions of the self as related) in depressive experience.

Original languageEnglish (US)
Pages (from-to)51-59
Number of pages9
JournalJournal of Personality Assessment
Volume53
Issue number1
DOIs
StatePublished - Mar 1 1989
Externally publishedYes

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health
  • Health, Toxicology and Mutagenesis

Fingerprint

Dive into the research topics of 'Predicting Depression Using Earliest Childhood Memories'. Together they form a unique fingerprint.

Cite this