Phenotypes of sleeplessness: stressing the need for psychodiagnostics in the assessment of insomnia

M. van de Laar, T. Leufkens, B. Bakker, D. Pevernagie, S. Overeem

Research output: Contribution to journalArticleAcademicpeer-review

6 Citations (Scopus)

Abstract

Insomnia is a too general term for various subtypes that might have different etiologies and therefore require different types of treatment. In this explorative study we used cluster analysis to distinguish different phenotypes in 218 patients with insomnia, taking into account several factors including sleep variables and characteristics related to personality and psychiatric comorbidity. Three clusters emerged from the analysis. The 'moderate insomnia with low psychopathology'-cluster was characterized by relatively normal personality traits, as well as normal levels of anxiety and depressive symptoms in the presence of moderate insomnia severity. The 'severe insomnia with moderate psychopathology'-cluster showed relatively high scores on the Insomnia Severity Index and scores on the sleep log that were indicative for severe insomnia. Anxiety and depressive symptoms were slightly above the cut-off and they were characterized by below average self-sufficiency and less goal-directed behavior. The 'early onset insomnia with high psychopathology'-cluster showed a much younger age and earlier insomnia onset than the other two groups. Anxiety and depressive symptoms were well above the cut-off score and the group consisted of a higher percentage of subjects with comorbid psychiatric disorders. This cluster showed a 'typical psychiatric' personality profile. Our findings stress the need for psychodiagnostic procedures next to a sleep-related diagnostic approach, especially in the younger insomnia patients. Specific treatment suggestions are given based on the three phenotypes.

Original languageEnglish
Pages (from-to)902-910
Number of pages9
JournalPsychology, Health & Medicine
Volume22
Issue number8
Early online date30 Jan 2017
DOIs
Publication statusPublished - 14 Sept 2017

Keywords

  • Journal Article
  • Cluster analysis
  • fatigue
  • personality
  • coping
  • cognitive behavioural treatment
  • Age Factors
  • Humans
  • Middle Aged
  • Male
  • Anxiety Disorders/diagnosis
  • Cognitive Behavioral Therapy
  • Disorders of Excessive Somnolence/diagnosis
  • Depressive Disorder/diagnosis
  • Adult
  • Female
  • Surveys and Questionnaires
  • Psychopathology
  • Character
  • Cross-Sectional Studies
  • Comorbidity
  • Risk Factors
  • Phenotype
  • Self Concept
  • Sleep Initiation and Maintenance Disorders/diagnosis
  • Adaptation, Psychological

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