Date of Award
1-1-2016
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Epidemiology and Biostatistics
Program
Epidemiology
Content Description
1 online resource (vii, 135 pages) : illustrations (some color)
Dissertation/Thesis Chair
Akiko Hosler
Committee Members
Emily Leckman-Westin, Gregory DiRienzo
Keywords
A1C, Antidepressants, Diabetes, Glycosylated hemoglobin, Depression, Mental, Depressed persons, Diabetics, Depression in old age
Subject Categories
Epidemiology
Abstract
While depression is known to increase the risk of diabetes and worsen glycemic control, the effect of antidepressants on these outcomes is unclear. Within the past few years, a cross-sectional study performed in a large, nationally-representative sample of individuals without diagnosed diabetes concluded that there are no differences between antidepressant users and non-users with regard to a number of diabetes-related outcomes including A1C, a measure of average glucose levels over the past few months commonly used to detect and monitor diabetes. The current set of studies was conducted to determine whether replicating this research in a higher-risk population or using more refined exposure categories would lead to similar conclusions.
Recommended Citation
Kammer, Jamie, "The association between antidepressant medications and A1C among individuals with and without diabetes" (2016). Legacy Theses & Dissertations (2009 - 2024). 1637.
https://scholarsarchive.library.albany.edu/legacy-etd/1637