Open AccessA treatment-based algorithm for identification of diabetes type in the National Health and Nutrition Examination Survey
Author(s) -
Mitra Mosslemi,
Hannah L. Park,
Christine E. McLaren,
Nathan D. Wong
Publication year - 2020
Publication title -
cardiovascular endocrinology and metabolism
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.498
H-Index - 8
ISSN - 2574-0954
DOI - 10.1097/xce.0000000000000189
Subject(s) - national health and nutrition examination survey , type 2 diabetes , medicine , diabetes mellitus , algorithm , type 1 diabetes , disease , epidemiology , family medicine , environmental health , population , computer science , endocrinology
In epidemiology studies, identification of diabetes type (type 1 vs. type 2) among study participants with diabetes is important; however, conventional diabetes type identification approaches that include age at diabetes diagnosis as an initial criterion introduces biases. Using data from the National Health and Nutrition Examination Survey, we have developed a novel algorithm which does not include age at diagnosis to identify participants with self-reported diagnosed diabetes as having type 1 vs. type 2 diabetes.