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Age of onset in obsessive-compulsive disorder: Admixture analysis with a large sample

  • G. E. Anholt
  • , I. M. Aderka
  • , A. J.L.M. Van Balkom
  • , J. H. Smit
  • , K. Schruers
  • , N. J.A. Van Der Wee
  • , M. Eikelenboom
  • , V. De Luca
  • , P. Van Oppen
  • VU Medical Center
  • Ben-Gurion University of the Negev
  • Boston University
  • University of Haifa
  • Maastricht University
  • Leiden University
  • University of Toronto

Research output: Contribution to journalArticlepeer-review

118 Scopus citations

Abstract

Background Research into age of onset in obsessive-compulsive disorder (OCD) has indicated significant differences between patients with early and late onset of the disorder. However, multiple criteria have been used arbitrarily for differentiating between early-and late-onset OCD, rendering inconsistent results that are difficult to interpret. Method In the current study, admixture analysis was conducted in a sample of 377 OC patients to determine the number of underlying populations of age of onset and associated demographic and clinical characteristics. Various measures of anxiety, depression, co-morbidity, autism, OCD, tics and attention deficit hyperactivity disorder (ADHD) symptoms were administered. Results A bimodal age of onset was established and the best-fitting cut-off score between early and late age of onset was 20 years (early age of onset â

Original languageEnglish
Pages (from-to)185-194
Number of pages10
JournalPsychological Medicine
Volume44
Issue number1
DOIs
StatePublished - Jan 2014
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Admixture analysis
  • age of onset
  • obsessive-compulsive disorder

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