Research output: Contribution to journal › Article › peer-review
Molly Davies, Gursharan Kalsi, Cherie Armour, Ian Jones, Andrew McIntosh, Daniel J Smith, James T.R. Walters, John R. Bradley, Nathalie Kingston, Sofie Ashford, Ioana Beange, Anamaria Brailean, Anthony James Cleare, Jonathan Richard Iain Coleman, Charles John Curtis, Susannah Chloe Bailey Curzons, Katrina Alice Southworth Davis, LeRoy Downey, Victor Gault, Kimberley Ann Goldsmith & 27 more
Original language | English |
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Article number | 103503 |
Journal | Behaviour Research and Therapy |
Volume | 123 |
Early online date | 24 Oct 2019 |
DOIs | |
Accepted/In press | 23 Oct 2019 |
E-pub ahead of print | 24 Oct 2019 |
Published | 1 Dec 2019 |
Additional links |
The Genetic Links to Anxiety_DAVIES_Accepted23October2019_GOLD VoR (CC BY)
1_s2.0_S0005796719301895_main.pdf, 1.34 MB, application/pdf
Uploaded date:18 Nov 2019
Version:Final published version
Licence:CC BY
Submitted manuscript
Background: Anxiety and depression are common, debilitating and costly. These disorders are influenced by multiple risk factors, from genes to psychological vulnerabilities and environmental stressors, but research is hampered by a lack of sufficiently large comprehensive studies. We are recruiting 40,000 individuals with lifetime depression or anxiety and broad assessment of risks to facilitate future research. Methods: The Genetic Links to Anxiety and Depression (GLAD) Study (www.gladstudy.org.uk) recruits individuals with depression or anxiety into the NIHR Mental Health BioResource. Participants invited to join the study (via media campaigns) provide demographic, environmental and genetic data, and consent for medical record linkage and recontact. Results: Online recruitment was effective; 42,531 participants consented and 27,776 completed the questionnaire by end of July 2019. Participants’ questionnaire data identified very high rates of recurrent depression, severe anxiety, and comorbidity. Participants reported high rates of treatment receipt. The age profile of the sample is biased toward young adults, with higher recruitment of females and the more educated, especially at younger ages. Discussion: This paper describes the study methodology and descriptive data for GLAD, which represents a large, recontactable resource that will enable future research into risks, outcomes, and treatment for anxiety and depression.
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