The depression rate is nearly twice as high in people with type 2 diabetes compared to those without diabetes. The mechanisms behind the association between depression and diabetes are poorly understood. New evidence suggests that inflammation may play an important role in the progression and reappearance of depression in people with type 2 diabetes. Dr. Schmitz’s study seeks to examine the association between inflammation and depression in individuals with type 2 diabetes. Results indicating that inflammation is a risk factor for depression in people with type 2 diabetes would suggest that depression treatment strategies targeting inflammation should be established and tested. These results might provide important information to both clinicians and the public.
Type 2 diabetes is one of the most common chronic diseases that continues to increase in numbers and significance. Metabolic abnormalities, such as central obesity, elevated blood pressure, uncontrolled sugar levels, systemic inflammation, adverse high-density lipoprotein cholesterol (HDL) and adverse triglycerides are important risk factors for type 2 diabetes. Recent research suggests that depression with metabolic abnormalities, labeled as metabolic depression, could represent a distinct psycho-metabolic syndrome. The co-occurrence of these two conditions might increase the risk of developing type 2 diabetes. This project will evaluate the interaction between depression and metabolic abnormalities on type 2 diabetes incidence in the CARTaGENE cohort. Understanding the associations and interactions between depression, metabolic abnormalities and behavioral factors might lead to better identification of individuals at high risk of developing type 2 diabetes. These results could have a massive impact on the development of effective diabetes prevention and intervention strategies.
Mental health problems and poor sleep are associated with increased risk of heart disease. However, mental health and poor sleep often occur together. The objective of this study is to determine if poor sleep and poor mental health are independent risk factors for incident heart disease.
The incidence of heart diseases will compare six groups: a) no depression and normal sleep duration; b) no depression and short sleep duration; c) no depression and long sleep duration; d) depression and normal sleep duration; e) depression and short sleep duration; and f) depression and long sleep duration. The above analyses will be repeated with anxiety. CARTaGENE data are used because the large sample is expected to provide sufficient power for the mentioned analyses. Moreover, detailed assessments of risk variables were collected and this data can be linked to measures of any variable of interest in heart diseases.