title: Subscales measuring symptoms of non-specific depression, anhedonia, and anxiety in the Edinburgh Postnatal Depression Scale.
abstract: OBJECTIVE
  There has been considerable research and clinical interest in the comorbidity of anxiety and depression in the post-partum period, and specifically in the possibility that the commonly used Edinburgh Postnatal Depression Scale (EPDS) incorporates an anxiety component. We hypothesized that the recommended version of factor analysis (Fabrigar, Wegener, MacCallum, & Strahan, 1999) would identify such covert dimensions more reliably than the commonly used principal components analysis with varimax rotation and eigenvalues greater than 1.
  
  
  METHODS
  Principal axis factor extraction with parallel analysis and oblique (direct quartimin) factor rotation was applied to the 10 EPDS items.
  
  
  METHODS
  The study used a sample of recent mothers recruited and assessed via e-mail and the Internet (N=440). In addition to the EPDS, the Hospital Anxiety and Depression Scale (HADS) and the Positive and Negative Affect Scales (PANAS) were also administered.
  
  
  RESULTS
  Three factors were found, which were identified as 'non-specific depressive symptoms', 'anhedonia', and 'anxietal symptoms' subscales, respectively. These subscales were regressed on the HADS anxiety and depression and the PANAS positive and negative affectivity scales, with results substantially consistent with current structural models of the taxonomy of the emotional disorders.
  
  
  CONCLUSIONS
  The data were obtained from a self-selected non-clinical sample. In addition, it is known that the use of computer-based assessment may tend to inflate self-report scores.
  
  
  CONCLUSIONS
  It was concluded that there is now sufficient evidence that clinicians should not assume the EPDS to be unidimensional, but should assess all three subscales when screening for susceptibility to post-partum depression and/or post-partum anxiety.
authors.affiliation: Department of Psychology, Glasgow Caledonian University, Glasgow, UK.
authors.forename: Alan
authors.initials: A
authors.lastname: Tuohy
authors.forename: Cynthia
authors.initials: C
authors.lastname: McVey
mesh_terms: D000328:Adult; D000342:Affective Symptoms / Q000175:diagnosis* / Q000523:psychology; D001008:Anxiety Disorders / Q000175:diagnosis* / Q000523:psychology; D015897:Comorbidity; D003625:Data Collection; D019052:Depression, Postpartum / Q000175:diagnosis* / Q000523:psychology; D003866:Depressive Disorder / Q000175:diagnosis* / Q000523:psychology; D003865:Major Depressive Disorder / Q000175:diagnosis / Q000523:psychology; D034742:Electronic Mail; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D007223:Infant; D020407:Internet; D008403:Mass Screening / Q000706:statistics & numerical data; D009035:Mothers / Q000523:psychology / Q000706:statistics & numerical data; D010555:Personality Inventory / Q000706:statistics & numerical data; D011247:Pregnancy; D025341:Principal Component Analysis; D011569:Psychiatric Status Rating Scales / Q000706:statistics & numerical data*; D011594:Psychometrics; D011795:Surveys and Questionnaires