The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety
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 indiv...
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| Published in: | Behaviour research and therapy Vol. 123; p. 103503 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
England
Elsevier Ltd
01.12.2019
Elsevier Science Ltd Elsevier Science |
| Subjects: | |
| ISSN: | 0005-7967, 1873-622X, 1873-622X |
| Online Access: | Get full text |
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| 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.
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.
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.
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.
•Online recruitment of 40,000 individuals with lifetime depression or anxiety.•Detailed online phenotyping combined with genetic and clinical data.•The study sample is severe, highly comorbid, with chronic psychopathology.•The study protocol enables recall of participants for future research and trials. |
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| AbstractList | 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. 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.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.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.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.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.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.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.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. 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. 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. 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. 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. • Online recruitment of 40,000 individuals with lifetime depression or anxiety. • Detailed online phenotyping combined with genetic and clinical data. • The study sample is severe, highly comorbid, with chronic psychopathology. • The study protocol enables recall of participants for future research and trials. 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. 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. 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. 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. •Online recruitment of 40,000 individuals with lifetime depression or anxiety.•Detailed online phenotyping combined with genetic and clinical data.•The study sample is severe, highly comorbid, with chronic psychopathology.•The study protocol enables recall of participants for future research and trials. |
| ArticleNumber | 103503 |
| Author | Breen, Gerome Thomas, Keith G. Bradley, John R. Mason, Bethany D. Davis, Katrina A.S. Hübel, Christopher Goldsmith, Kimberley A. Dowey, Le Roy C. Leng, Jennifer Kanz, Carola Veale, David Eley, Thalia C. Coleman, Jonathan R.I. Kalsi, Gursharan Rimes, Katharine A. Lyall, Donald M. Jones, Ian R. McAtarsney-Kovacs, Monika Sykes, Bronte L. White, Katie M. Curzons, Susannah C.B. Bennett, Megan Hammond Beange, Ioana Sambrook, Jennifer Spaul, Anna Young, Allan H. Price, Ruth K. Parikh, Shivani Ovington, Nigel Curtis, Charles J. Hotopf, Matthew Davies, Molly R. Rogers, Henry C. Ashford, Sofie Gault, Victor A. Peel, Alicia J. McIntosh, Andrew M. Moulton, Alexei Skelton, Megan Walters, James T.R. Brailean, Anamaria Palaiologou, Elisavet Pariante, Carmine M. Monssen, Dina Suarez, Eddy L.A. Kingston, Nathalie Wingrove, Janet Hirose, Yoriko Vassos, Evangelos Armour, Chérie Smith, Daniel J. Cleare, Anthony J. |
| AuthorAffiliation | e Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinurgh, UK f Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK h Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK d MRC Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK l GreenLight Pharmaceuticals Limited, Unit 2, Block E, Nutgrove Office Park, Dublin 14, Ireland c School of Psychology, Queens University Belfast (QUB), Belfast, Northern Ireland, UK b UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley Hospital, London, UK j South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, UK i Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK g NIHR BioResource, Cambridge University Hospitals NHS Foundation, Cambridge Biomedical Ca |
| AuthorAffiliation_xml | – name: l GreenLight Pharmaceuticals Limited, Unit 2, Block E, Nutgrove Office Park, Dublin 14, Ireland – name: f Institute of Health and Wellbeing, University of Glasgow, Glasgow, UK – name: j South London and Maudsley NHS Foundation Trust, Bethlem Royal Hospital, Monks Orchard Road, Beckenham, Kent, UK – name: k School of Biomedical Sciences, Ulster University, Coleraine Campus, Northern Ireland, UK – name: b UK National Institute for Health Research (NIHR) Biomedical Research Centre, South London and Maudsley Hospital, London, UK – name: d MRC Centre for Neuropsychiatric Genetics and Genomics, Neuroscience and Mental Health Research Institute, Cardiff University, Cardiff, UK – name: h Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, UK – name: i Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK – name: m Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden – name: e Division of Psychiatry, Centre for Clinical Brain Sciences, University of Edinburgh, Edinurgh, UK – name: a Institute of Psychiatry, Psychology and Neuroscience, King's College London, Denmark Hill, Camberwell, London, UK – name: g NIHR BioResource, Cambridge University Hospitals NHS Foundation, Cambridge Biomedical Campus, Cambridge, UK – name: c School of Psychology, Queens University Belfast (QUB), Belfast, Northern Ireland, UK |
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| Copyright | 2019 The Authors Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved. Copyright Pergamon Press Inc. Dec 2019 2019 The Authors 2019 |
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| DOI | 10.1016/j.brat.2019.103503 |
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| Snippet | Anxiety and depression are common, debilitating and costly. These disorders are influenced by multiple risk factors, from genes to psychological... Background: Anxiety and depression are common, debilitating and costly. These disorders are influenced by multiple risk factors, from genes to psychological... • Online recruitment of 40,000 individuals with lifetime depression or anxiety. • Detailed online phenotyping combined with genetic and clinical data. • The... |
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| SubjectTerms | Adolescent Adult Adults Age of Onset Aged Aged, 80 and over Anxiety Anxiety - genetics Behavior genetics Bias Campaigns Comorbidity Consent Data Data sharing Depression Depression - genetics Disorders Female Genes Genetics Genotype Humans Internet Life events Male Medical records Mental depression Mental disorders Mental health Middle Aged Patient Selection Phenotype Phobic Disorders - genetics Program Development - methods Psychiatric genetics Questionnaires Recruitment Recruits Recurrent Risk assessment Risk factors Stress Young Adult Young adults |
| Title | The Genetic Links to Anxiety and Depression (GLAD) Study: Online recruitment into the largest recontactable study of depression and anxiety |
| URI | https://dx.doi.org/10.1016/j.brat.2019.103503 https://www.ncbi.nlm.nih.gov/pubmed/31715324 https://www.proquest.com/docview/2328691306 https://www.proquest.com/docview/2314254399 https://pubmed.ncbi.nlm.nih.gov/PMC6891252 http://kipublications.ki.se/Default.aspx?queryparsed=id:142516901 |
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