UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Comparison of symptom-based versus self-reported diagnostic measures of anxiety and depression disorders in the GLAD and COPING cohorts
  • Publication Type:
    Journal article
  • Authors:
    Davies MR, Buckman JEJ, Adey BN, Armour C, Bradley JR, Curzons SCB, Davies HL, Davis KAS, Goldsmith KA, Hirsch CR, Hotopf M, Hübel C, Jones IR, Kalsi G, Krebs G, Lin Y, Marsh I, McAtarsney-Kovacs M, McIntosh AM, Mundy J, Monssen D, Peel AJ, Rogers HC, Skelton M, Smith DJ, ter Kuile A, Thompson KN, Veale D, Walters JTR, Zahn R, Breen G, Eley TC
  • Publisher:
    Elsevier BV
  • Publication date:
    01/2022
  • Journal:
    Journal of Anxiety Disorders
  • Volume:
    85
  • Article number:
    102491
  • Status:
    Accepted
  • Language:
    English
  • Keywords:
    Anxiety disorders, Measurement, Major depression, Self-report, Online surveys, Phobias
  • Notes:
    © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Abstract
Background: Understanding and improving outcomes for people with anxiety or depression often requires large sample sizes. To increase participation and reduce costs, such research is typically unable to utilise “gold-standard” methods to ascertain diagnoses, instead relying on remote, self-report measures. Aims: Assess the comparability of remote diagnostic methods for anxiety and depression disorders commonly used in research. Method: Participants from the UK-based GLAD and COPING NBR cohorts (N = 58,400) completed an online questionnaire between 2018 and 2020. Responses to detailed symptom reports were compared to DSM-5 criteria to generate symptom-based diagnoses of major depressive disorder (MDD), generalised anxiety disorder (GAD), specific phobia, social anxiety disorder, panic disorder, and agoraphobia. Participants also self-reported any prior diagnoses from health professionals, termed self-reported diagnoses. “Any anxiety” included participants with at least one anxiety disorder. Agreement was assessed by calculating accuracy, Cohen’s kappa, McNemar’s chi-squared, sensitivity, and specificity. Results: Agreement between diagnoses was moderate for MDD, any anxiety, and GAD, but varied by cohort. Agreement was slight to fair for the phobic disorders. Many participants with self-reported GAD did not receive a symptom-based diagnosis. In contrast, symptom-based diagnoses of the phobic disorders were more common than self-reported diagnoses. Conclusions: Agreement for MDD, any anxiety, and GAD was higher for cases in the case-enriched GLAD cohort and for controls in the general population COPING NBR cohort. For anxiety disorders, self-reported diagnoses classified most participants as having GAD, whereas symptom-based diagnoses distributed participants more evenly across the anxiety disorders. Further validation against gold standard measures is required.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Clinical, Edu & Hlth Psychology
Author
Clinical, Edu & Hlth Psychology
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by