UK Biobank includes 502,649 middle- and older-aged adults from the general population who have undergone detailed phenotypic assessment. The majority of participants completed tests of cognitive functioning, and on average four years later a sub-group of N = 20,346 participants repeated most of the assessment. These measures will be used in a range of future studies of health outcomes in this cohort. The format and content of the cognitive tasks were partly novel. The aim of the present study was to validate and characterize the cognitive data: to describe the inter-correlational structure of the cognitive variables at baseline assessment, and the degree of stability in scores across longitudinal assessment. Baseline cognitive data were used to examine the inter-correlational/factor-structure, using principal components analysis (PCA). We also assessed the degree of stability in cognitive scores in the subsample of participants with repeat data. The different tests of cognitive ability showed significant raw inter-correlations in the expected directions. PCA suggested a one-factor solution (eigenvalue = 1.60), which accounted for around 40% of the variance. Scores showed varying levels of stability across time-points (intraclass correlation range = 0.16 to 0.65). UK Biobank cognitive data as the potential to be a significant resource for researchers looking to investigate predictors and modifiers of cognitive abilities and associated health outcomes in the general population.
Lyall DM, Cullen B, Allerhand M, Smith DJ, Mackay D, Evans J, et al. (2016) Cognitive Test Scores in UK Biobank: Data Reduction in 480,416 Participants and Longitudinal Stability in 20,346 Participants. PLoS ONE 11(4): e0154222.doi:10.1371/journal.pone.0154222
Cross-sectional study to investigate ethnic differences in cardiovascular risk and mental health
One advantage of UK Biobank is the recruitment of participants from ethnic minority groups in sufficient numbers to enable meaningful comparisons of different ethnic groups. Ethnic groups are known to differ in their risk of a number of conditions including cardiovascular disease and mental health. For example Pakistani people have a high risk of heart disease and chinese people a high risk of high blood pressure and stroke. Understanding these differences and the reasons for them is of assistance in ensuring the appropriateness and effectiveness of screening, investigation and treatment interventions.
The aim of this study is to compare the different ethnic minority groups in terms of the amount and type of disease, the distribution by age, sex and socioeconomic deprivation and the lifestyle and environmental factors that are associated with the presence of disease.
In this study we will access only questionnaire and measurement data and compare ethnic sub-groups in terms of these data. At a later date, once available, we will be able to compare these sub-groups in terms of their biochemistry assays and follow-up events. Therefore, this initial study will focus on comparisons of risk and only later will we be able to make comparisons of actual disease occurrence.
|Lead investigator:||Professor Jill Pell|
|Lead institution:||University of Glasgow|
7 related Returns
|Return ID||App ID||Description||Archive Date|
|511||774||Adiposity among 132,479 UK Biobank participants; contribution of sugar intake vs other macronutrients||2 Jun 2017|
|509||774||Associations between single and multiple cardiometabolic diseases and cognitive abilities in 474 129 UK Biobank participants.||2 Jun 2017|
|501||774||Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants||2 Jun 2017|
|463||774||Heaviness, health and happiness: a cross-sectional study of 163066 UK Biobank participants||23 May 2017|
|504||774||Low birth weight and features of neuroticism and mood disorder in 83545 participants of the UK Biobank cohort||2 Jun 2017|
|508||774||Prevalence and Characteristics of Probable Major Depression and Bipolar Disorder within UK Biobank: Cross-Sectional Study of 172,751 Participants.||2 Jun 2017|
|464||774||Psychiatry Gender differences in the association between adiposity and probable major depression: a cross-sectional study of 140,564 UK Biobank participants||23 May 2017|