Notes
Of the 119,859 individuals included in the study, 56,816 (47.4%) were men; mean (SD) age was 56.87 (7.93) years. Mendelian randomization analysis showed significant positive associations between genetically instrumented higher BMI and risk of hypertension, coronary heart disease and type 2 diabetes, as well as systolic blood pressure and diastolic blood pressure. These associations were independent of age, sex, Townsend deprivation scores, alcohol intake, and smoking history. The results of this study add to the burgeoning evidence of an association between higher BMI and increased risk of cardiometabolic diseases. This finding has relevance for public health policies in many countries with increasing obesity levels.
Application 7155
Epidemiology of mental health, cognitive function, pain and cardiometabolic disease.
Mental health problems place a large burden on the health service. As life expectancy increases, understanding cognitive decline is increasingly important. Identifying high risk groups enables us to detect problems early and target resources. Understanding the distribution of disease between groups can help elucidate the causes of disease and help identify new methods of prevention and treatment.
Aim: To study the epidemiology of mental health, cognitive function, pain and cardiometabolic disease.
Objectives: To examine the frequency, distribution, determinants and outcomes of these conditions, in relation to: demographics, lifestyle, comorbidity and medication UKB is representative of the general population in terms of age, sex and ethnicity but unrepresentative in terms of lifestyle. Therefore, it is not suitable to determine the overall prevalence of any condition but can, nonetheless, be used to compare the distribution of diseases between sub-groups and therefore determine associations between risk factors and disease frequency and outcome. This project builds on our ongoing study (774) which examines ethnic differences in cardiometabolic disease. We seek to extend the focus to examine other determinants of cardiometabolic disease as well as determinants of mood disorder, cognitive impairment and pain. We will compare participants with and without mood disorder, pain, cognitive impairment and cardiometabolic diease and participants with varying severity of these conditions in relation to a series of demographic and lifestyle factors in order to determine the factors associated with the conditions. We will also examine the association between these conditions and other diseases. The findings will help to identify individual at increased risk and modifiable factors that may help to prevent or alleviate these conditions. all participants
Lead investigator: | Professor Jill Pell |
Lead institution: | University of Glasgow |
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