Cohort profile for the STratifying Resilience and Depression Longitudinally (STRADL) study: A depression-focused investigation of Generation Scotland, using detailed clinical, cognitive, and neuroimaging assessments.
Tina HabotaAnca-Larisa SanduGordon D WaiterChristopher J McNeilJ Douglas SteeleJennifer A MacfarlaneHeather C WhalleyRuth ValentineDawn YounieNichola CrouchEmma L HawkinsYoriko HiroseLiana RomaniukKeith MilburnGordon BuchanTessa CouparMairi StirlingBaljit JagpalBeverly MacLennanLucasz PribaMathew A HarrisJonathan D HaffertyMark James AdamsArchie I CampbellDonald J MacIntyreAlison PattieLee MurphyRebecca M ReynoldsRebecca ElliotIan S Penton-VoakMarcus R MunafoKathryn L EvansJonathan R SecklJoanna Marguerite WardlawStephen M LawrieChristopher S HaleyDavid J PorteousIan J DearyAlison D MurrayAndrew M McIntoshPublished in: Wellcome open research (2021)
STratifying Resilience and Depression Longitudinally (STRADL) is a population-based study built on the Generation Scotland: Scottish Family Health Study (GS:SFHS) resource. The aim of STRADL is to subtype major depressive disorder (MDD) on the basis of its aetiology, using detailed clinical, cognitive, and brain imaging assessments. The GS:SFHS provides an important opportunity to study complex gene-environment interactions, incorporating linkage to existing datasets and inclusion of early-life variables for two longitudinal birth cohorts. Specifically, data collection in STRADL included: socio-economic and lifestyle variables; physical measures; questionnaire data that assesses resilience, early-life adversity, personality, psychological health, and lifetime history of mood disorder; laboratory samples; cognitive tests; and brain magnetic resonance imaging. Some of the questionnaire and cognitive data were first assessed at the GS:SFHS baseline assessment between 2006-2011, thus providing longitudinal measures relevant to the study of depression, psychological resilience, and cognition. In addition, routinely collected historic NHS data and early-life variables are linked to STRADL data, further providing opportunities for longitudinal analysis. Recruitment has been completed and we consented and tested 1,188 participants.
Keyphrases
- early life
- major depressive disorder
- magnetic resonance imaging
- healthcare
- sleep quality
- bipolar disorder
- mental health
- big data
- cross sectional
- public health
- climate change
- computed tomography
- white matter
- type diabetes
- multiple sclerosis
- dna methylation
- machine learning
- single cell
- magnetic resonance
- human immunodeficiency virus
- social media
- functional connectivity
- subarachnoid hemorrhage
- preterm birth