Not only is diabetes a complicated disease, it is a confusing disease as well. This week I read a series of conflicting epidemiology research reports, where on one hand the studies report that diabetes-related complications have declined. But on the other hand there are reports stating that the diabetes illness is rising in at an alarming rate.
What's behind the research inconsistencies?
I am thinking that the paradox must be linked to how the statistics for health outcomes are tallied and reported. For example, diabetes can cause serious health issues, such as heart attack, stroke and kidney failure and deaths. But it seems that rates for these illnesses are only linked to diabetes when attached to blood sugar complications.
I think researchers are struggling with placing the puzzle pieces together for a clearer outlook of diabetes due to the multiple disparity timetables for the onset of pre-diabetes, diabetes, type 1, type 2; discrepancies among age groups; variations among ethic groups; a large volume of adverse signs and symptoms; and many health prevention and treatments regimes expanding across pharmaceutical and surgical medicine to natural/herbal/lifestyle change remedies.
There is even literature suggesting sleeping patterns and insomnia could be attributed to the prevention or onset of diabetes. Diabetes can be attributed to sleeping too long or not sleeping long enough in respect to hours.
Furthermore, when the pre-diabetic/diabetic patient is sleeping, are they getting "good quality" sleep? In other words, they may be sleeping the right amount of hours, but is there mental distress and restless sleep.
To reduce the amount of conflicting information, there will need to be a more intimate relationship between epidemiologists, bioinformatics specialists and healthcare providers in order to pinpoint and attribute diabetes associated health complications and deaths.