Globally more than 382 million people have diabetes and though the potential of prevention is clearly established, estimates project that the number will increase to 592 million by year 2035.
Diabetes is a burden for the society as well as the individual: in a country like Denmark the treatment of one of the 320.545 patients with known diabetes (up to 200.000 Danes are unaware of their diabetes status) costs 45.000 d.kr per year (in total 15% of the public yearly health budget), and despite considerable public health efforts, daily three diabetes patients have a foot amputation.
Therefore, the purpose of this postdoc project is to identify new approaches to identify individuals at risk of T2D by investigating household clustering of T2D risks and health related behaviours and thus the importance of the household as a potential target for prevention and early detection of T2D under different conditions.
I hypothesise that at the onset of T2D in one individual, there is a clustering of T2D risk factors in individuals living in the same household as the person with T2D. As time goes by this clustering of risk factors will either increase the risk of the non-diabetic household members getting T2D or the household members will benefit from the potential dietary and exercise changes the patient undergoes as part of the diabetes treatment regime and thus improve their risk profile. Further, the household clustering effects are affected or modified by the degree of economic development, urbanisation, epidemiological transition, and the type of health system.