Gregory A Nichols1, Jonathan B Brown. 1. Kaiser Permanente Center for Health Research, Portland, Oregon 97227-1098, USA. greg.nichols@kpchr.org
Abstract
OBJECTIVE: To estimate the prevalence of diagnosed depression in a large population of individuals with type 2 diabetes, compared to a matched control group, and to estimate the extent of depression that is independently associated with diabetes. RESEARCH DESIGN AND METHODS: We compared the prevalence of diagnosed depression in all 16180 full-year health maintenance organization members in 1999 who had been diagnosed with type 2 diabetes and in 16180 comparison members without diabetes matched for age and sex. We ascertained diagnoses from the Kaiser Permanente Northwest Region's electronic medical record. Using multiple logistic regression, we adjusted the prevalence estimates for the presence of cardiovascular disease, age, sex, and body weight. RESULTS: Depression was more common in individuals with type 2 diabetes than among matched control subjects (17.9 vs. 11.2%; P < 0.001). Women in both groups were nearly twice as likely to be depressed as men; however, the relative difference in depression prevalence between subjects with and without diabetes was greater in men. In the multivariate model for women, body weight was a much stronger predictor of depression than diabetes status. CONCLUSIONS: This study further documents the association between depression and diabetes, providing unadjusted population-based estimates in a large sample. Depression remained associated with diabetes after adjustment for several other possible causes. The association among diabetes, cardiovascular disease, depression, and obesity are multifaceted and differ for men and women.
OBJECTIVE: To estimate the prevalence of diagnosed depression in a large population of individuals with type 2 diabetes, compared to a matched control group, and to estimate the extent of depression that is independently associated with diabetes. RESEARCH DESIGN AND METHODS: We compared the prevalence of diagnosed depression in all 16180 full-year health maintenance organization members in 1999 who had been diagnosed with type 2 diabetes and in 16180 comparison members without diabetes matched for age and sex. We ascertained diagnoses from the Kaiser Permanente Northwest Region's electronic medical record. Using multiple logistic regression, we adjusted the prevalence estimates for the presence of cardiovascular disease, age, sex, and body weight. RESULTS:Depression was more common in individuals with type 2 diabetes than among matched control subjects (17.9 vs. 11.2%; P < 0.001). Women in both groups were nearly twice as likely to be depressed as men; however, the relative difference in depression prevalence between subjects with and without diabetes was greater in men. In the multivariate model for women, body weight was a much stronger predictor of depression than diabetes status. CONCLUSIONS: This study further documents the association between depression and diabetes, providing unadjusted population-based estimates in a large sample. Depression remained associated with diabetes after adjustment for several other possible causes. The association among diabetes, cardiovascular disease, depression, and obesity are multifaceted and differ for men and women.
Authors: Mary Lee Barron; Louise H Flick; Cynthia A Cook; Sharon M Homan; Claudia Campbell Journal: Arch Psychiatr Nurs Date: 2008-10 Impact factor: 2.218
Authors: Young Sil Eom; Hwa Sun Park; Sei-Hyun Kim; Sun Mee Yang; Moon Suk Nam; Hyoung Woo Lee; Ki Young Lee; Sihoon Lee; Yeun Sun Kim; Ie Byung Park Journal: Diabetes Metab J Date: 2011-04-30 Impact factor: 5.376
Authors: Ronny A Bell; Shannon L Smith; Thomas A Arcury; Beverly M Snively; Jeanette M Stafford; Sara A Quandt Journal: Diabetes Care Date: 2005-04 Impact factor: 19.112
Authors: Baqar A Husaini; Pamela C Hull; Darren E Sherkat; Janice S Emerson; Monica T Overton; Clinton Craun; Van A Cain; Robert S Levine Journal: J Natl Med Assoc Date: 2004-04 Impact factor: 1.798
Authors: Magdalena Olszanecka-Glinianowicz; Barbara Zahorska-Markiewicz; Piotr Kocełak; Joanna Janowska; Elzbieta Semik-Grabarczyk; Tomasz Wikarek; Wojciech Gruszka; Piotr Dabrowski Journal: Mediators Inflamm Date: 2009-06-29 Impact factor: 4.711