Abstract
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 of depression and resilience. Similarly, routine 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.
| Original language | English |
|---|---|
| Article number | 185 |
| Number of pages | 14 |
| Journal | Wellcome Open Research |
| Volume | 4 |
| Early online date | 25 Nov 2019 |
| DOIs | |
| Publication status | Published - 16 Jul 2021 |
Keywords
- Depression
- Generation Scotland
- Longitudinal
- Neuroimaging
- Psychological resilience
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Dive into the research topics of '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'. Together they form a unique fingerprint.Projects
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Research output
- 24 Citations
- 2 Article
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Integrated methylome and phenome study of the circulating proteome reveals markers pertinent to brain health
Gadd, D. A., Hillary, R. F., McCartney, D. L., Shi, L., Stolicyn, A., Robertson, N., Walker, R. M., McGeachan, R. I., Campbell, A., Shen, X., Barbu, M. C., Green, C., Morris, S. W., Harris, M. A., Backhouse, E. V. .., Wardlaw, J. M., Steele, J. D., Oyarzún, D. A., Muniz-Terrera, G. & Ritchie, C. & 9 others, , 9 Aug 2022, In: Nature Communications. 13, 14 p., 4670.Research output: Contribution to journal › Article › peer-review
Open AccessFile31 Link opens in a new tab Citations (Scopus)157 Downloads (Pure) -
Spectral Clustering Based on Structural Magnetic Resonance Imaging and its Relationship with Major Depressive Disorder and Cognitive Ability
Yeung, H. W. (Lead / Corresponding author), Shen, X., Stolicyn, A., Harris, M. A., Romaniuk, L., Buchanan, C. R., Waiter, G. D., Sandu, A.-L., McNeil, C. J., Murray, A. D., Steele, D., Campbell, A., Porteous, D. J., Lawrie, S. M., McIntosh, A. M., Cox, S. R., Smith, K. M. & Whalley, H. C. (Lead / Corresponding author), Sept 2021, In: European Journal of Neuroscience. 54, 6, p. 6281-6303 23 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile8 Link opens in a new tab Citations (Scopus)251 Downloads (Pure)
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