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Data Sources

TIMESPAN’ s main objective is to advance the management of adult Attention Deficit Hyperactivity Disorder (ADHD) and cooccurring cardiometabolic disease by improving the identification and treatment of individuals with these comorbidities.

Emerging evidence points at substantial comorbidity and shared genetics between adult ADHD and cardiometabolic diseases i.e., Obesity, Type-2 Diabetes (T2DM) and cardiovascular disease (CVD). However, screening, diagnosis and treatment guidelines for ADHD patients with these diseases do not exist. Such guidelines are sorely needed because a) the behaviors and cognitive weaknesses associated with ADHD portend poor outcomes due to increased risks for noncompliance and risky behaviors and b) the stimulant medications used to treat the disorder is associated with adverse side effects for those with underlying CVD.

In order to gain more information about this interplay and at the end improve the clinically relevant output TIMESPAN has pulled together a unique constellation of 23 multi-disciplinary, multi-source realworld data sources from 10 countries across the world.

In order to ensure that data is managed properly we will provide an ethical strategy and (FAIR) data management plan (DMP) to allow for maximal transparency, open access/science, usability and reproducibility. Data sustainability will be accomplished by placing all the data management and analyses codes in an online repository (i.e., Github) and by providing a description of how to access raw data of each data source. In addition, we will also maximize transparency and enable future research by presenting aggregated raw data for all study variables (i.e., made available in the appendix of all publications). A list of all cohorts can be found here.