Notes
Background This study investigated differences in cognitive performance between middle-aged adults with and without a lifetime history of mood disorder features, adjusting for a range of potential confounders.
Methods Cross-sectional analysis of baseline data from the UK Biobank cohort. Adults aged 40 69 (n = 143,828) were assessed using measures of reasoning, reaction time and memory. Self-reported data on lifetime features of major depression and bipolar disorder were used to construct groups for comparison against controls. Regression models examined the association between mood disorder classification and cognitive performance, adjusting for sociodemographic, lifestyle and clinical confounders.
Results Inverse associations between lifetime history of bipolar or severe recurrent depression features and cognitive performance were attenuated or reversed after adjusting for confounders, including psychotropic medication use and current depressive symptoms. Participants with a lifetime history of single episode or moderate recurrent depression features outperformed controls to a small (but statistically significant) degree, independent of adjustment for confounders. There was a significant interaction between use of psychotropic medication and lifetime mood disorder features, with reduced cognitive performance observed in participants taking psychotropic medication.
Conclusions In this general population sample of adults in middle age, lifetime features of recurrent depression or bipolar disorder were only associated with cognitive impairment within unadjusted analyses. These findings underscore the importance of adjusting for potential confounders when investigating mood disorder-related cognitive function
B. Cullen, B.I. Nicholl, D.F. Mackay, D. Martin, Z. Ul-Haq, A. McIntosh, J. Gallacher, I.J. Deary, J.P. Pell, J.J. Evans, D.J. Smith, Cognitive function and lifetime features of depression and bipolar disorder in a large population sample: Cross-sectional study of 143,828 UK Biobank participants, European Psychiatry, Volume 30, Issue 8, November 2015, Pages 950-958, ISSN 0924-9338, https://doi.org/10.1016/j.eurpsy.2015.08.006. (http://www.sciencedirect.com/science/article/pii/S0924933815001522)
Application 774
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 |
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