Abstract
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.
| Language | English |
|---|---|
| Article number | 103503 |
| Number of pages | 28 |
| Journal | Behaviour Research and Therapy |
| Volume | 123 |
| Issue number | 103503 |
| Early online date | 24 Oct 2019 |
| DOIs | |
| Publication status | Published - 1 Dec 2019 |
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Keywords
- Anxiety
- Behavior genetics
- Data sharing
- Depression
- Life events
- Psychiatric genetics
Cite this
}
The Genetic Links to anxiety and depression (GLAD) study: Online recruitment into the largest recontactable study of depression and anxiety. / Davies, Molly; Kalsi, Gursharan ; Armour, C; Jones, Ian; McIntosh, Andrew ; Smith, Daniel; Walters, James; Bradley, John; Kingston, Nathalie; Ashford, Sofie; Beange, Ioana; Brailean, Anamaria ; Cleare, Anthony; Coleman, Jonathan; Curtis, Charles; Curzons, Susannah; Davis, Katrina; Dowey, L; Gault, Victor A; Goldsmith, Kimberley; Bennett, Megan; Hirose, Yoriko; Hotopf, Matthew; Hübel, Christopher; Kanz, Carola; Leng, Jennifer; Lyall, Donald; Mason, Bethany; McAtarsney-Kovacs, Monika ; Monssen, Dina; Moulton, Alexei; Ovington, Nigel; Palaiologou, Elisavet; Pariante, Carmine; Parikh, Shivani; Peel, Alicia; Price, RK; Rimes, Katharine; Rogers, Henry; Sambrook, Jennifer; Skelton, Megan; Spaul, Anna; Suarez, Eddy; Sykes, Bronte; Thomas, Keith; Young, Allan; Vassos, Evangelos; Veale, David; White, Katie; Wingrove, Janet; Eley, Thalia; Breen, Gerome.
In: Behaviour Research and Therapy, Vol. 123, No. 103503, 103503, 01.12.2019.Research output: Contribution to journal › Article
TY - JOUR
T1 - The Genetic Links to anxiety and depression (GLAD) study: Online recruitment into the largest recontactable study of depression and anxiety
AU - Davies, Molly
AU - Kalsi, Gursharan
AU - Armour, C
AU - Jones, Ian
AU - McIntosh, Andrew
AU - Smith, Daniel
AU - Walters, James
AU - Bradley, John
AU - Kingston, Nathalie
AU - Ashford, Sofie
AU - Beange, Ioana
AU - Brailean, Anamaria
AU - Cleare, Anthony
AU - Coleman, Jonathan
AU - Curtis, Charles
AU - Curzons, Susannah
AU - Davis, Katrina
AU - Dowey, L
AU - Gault, Victor A
AU - Goldsmith, Kimberley
AU - Bennett, Megan
AU - Hirose, Yoriko
AU - Hotopf, Matthew
AU - Hübel, Christopher
AU - Kanz, Carola
AU - Leng, Jennifer
AU - Lyall, Donald
AU - Mason, Bethany
AU - McAtarsney-Kovacs, Monika
AU - Monssen, Dina
AU - Moulton, Alexei
AU - Ovington, Nigel
AU - Palaiologou, Elisavet
AU - Pariante, Carmine
AU - Parikh, Shivani
AU - Peel, Alicia
AU - Price, RK
AU - Rimes, Katharine
AU - Rogers, Henry
AU - Sambrook, Jennifer
AU - Skelton, Megan
AU - Spaul, Anna
AU - Suarez, Eddy
AU - Sykes, Bronte
AU - Thomas, Keith
AU - Young, Allan
AU - Vassos, Evangelos
AU - Veale, David
AU - White, Katie
AU - Wingrove, Janet
AU - Eley, Thalia
AU - Breen, Gerome
PY - 2019/12/1
Y1 - 2019/12/1
N2 - BackgroundAnxiety 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.MethodsThe 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.ResultsOnline 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.DiscussionThis 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.
AB - BackgroundAnxiety 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.MethodsThe 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.ResultsOnline 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.DiscussionThis 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.
KW - Anxiety
KW - Behavior genetics
KW - Data sharing
KW - Depression
KW - Life events
KW - Psychiatric genetics
UR - http://www.scopus.com/inward/record.url?scp=85074616138&partnerID=8YFLogxK
U2 - 10.1016/j.brat.2019.103503
DO - 10.1016/j.brat.2019.103503
M3 - Article
VL - 123
JO - Behaviour Research and Therapy
T2 - Behaviour Research and Therapy
JF - Behaviour Research and Therapy
SN - 0005-7967
IS - 103503
M1 - 103503
ER -