Precision Mental Health in Diabetes - Subtypes of Mental Health, Trajectories, and Patterns With Glycaemic Control

Comorbid mental disorders as well as mental symptoms are common in people with type 1 diabetes (T1D) and type 2 diabetes (T2D). Depression, anxiety, and eating problems are particularly prevalent, and diabetes-related distress may contribute to or interact with mental disorders. Furthermore, while the management of diabetes aims to achieve near-normal glucose levels to prevent health decline and complications, glycemic outcomes may be impaired in people with significant mental comorbidity. The objective of the PRO-MENTAL study is to use precision monitoring to identify evidence-based subgroups of people with diabetes with regard to mental disorders/problems and glycemic outcomes, to determine typical patterns and derive patient trajectories for informing a precision medicine approach offering personalized interventions for people with T1D and T2D. Precision monitoring uses continuous glucose monitoring (CGM) and ecological momentary assessment (EMA) methods as well as patient-reported outcomes (PRO) according to self-report scales and interviews. Another aim is to answer epidemiological questions regarding depressive, anxiety and eating disorders in people with T1D and T2D (including assessment of bipolar disorders for differential diagnosis). In addition to clinical disorders, subclinical (=elevated) mental symptoms (e.g., depressive symptoms) and diabetes-related distress will be investigated as adverse factors in diabetes. The findings of the study will serve as the basis for developing a precision medicine approach with personalized interventions for specific subgroups of people with T1D and T2D and mental comorbidity. The primary research question refers to prospective associations of psychological disturbances/problems, especially depressive symptoms, anxiety symptoms, diabetes distress, and eating disorder symptoms, with self-management/health behaviors and glycemic outcomes. Using diagnostic interviews assessing affective, anxiety, and eating disorders and the collection of behavioral, somatic and psychological variables using questionnaires and surveys, subgroups and trajectories will be identified. In longitudinal analyses, the prognostic and moderating contribution of these parameters to the prediction of glycemic and mental health outcomes will be investigated. Secondary objectives of the study are to identify predictors and/or moderators that may explain the incidence and persistence as well as associations between the above mental health variables and diabetes outcomes. For this purpose, measures of health-related quality of life, well-being, sleep quality, hypoglycemic anxiety, fear of sequelae, problems of diabetes treatment, diabetes acceptance, stressful life events, alcohol misuse, social support, COVID-19-related burden, and psychological resilience are also collected.