A Bayesian Network analysis of the probabilistic relations between risk factors in the predisposition to type 2 diabetes

• In order to better understand the relations between different risk factors in the predisposition to type 2 diabetes, we present a Bayesian Network analysis of a large dataset, composed of three European population studies. Our results show, together with a key role of metabolic syndrome and of glucose after 2 hours of an Oral Glucose Tolerance Test, the importance of education, measured as the number of years of study, in the predisposition to type 2 diabetes.

Subject headings

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Endokrinologi och diabetes (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Endocrinology and Diabetes (hsv//eng)

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)

Keyword

Bayes Theorem

Databases, Factual

Diabetes Mellitus, Type 2/etiology

European Continental Ancestry Group

Finland

Glucose Tolerance Test

Humans

Male

Metabolic Syndrome/complications

Models, Statistical

Risk Factors

Spain

Publication and Content Type

kon (subject category)

ref (subject category)