TY - JOUR
T1 - Long-term risk for depressive symptoms after a medical diagnosis
AU - Polsky, Daniel
AU - Doshi, Jalpa A.
AU - Marcus, Steven
AU - Oslin, David
AU - Rothbard, Aileen
AU - Thomas, Niku
AU - Thompson, Christy L.
N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.
PY - 2005/6/13
Y1 - 2005/6/13
N2 - Background: This study examines the risk of development of significant depressive symptoms after a new diagnosis of cancer, diabetes, hypertension, heart disease, arthritis, chronic lung disease, or stroke. Methods: The study used 5 biennial waves (1992-2000) of the Health and Retirement Study to follow a sample of 8387 adults (aged 51 to 61 years and without significant depressive symptoms in 1992) from 1994 to 2000. Time-dependent Cox regression models estimated adjusted hazard ratios (HRs) for an episode of significant depressive symptoms after a new diagnosis for each of the 7 medical conditions. Results: Within 2 years of initial diagnosis, subjects with cancer had the highest hazard of depressive symptoms (HR, 3.55; 95% confidence interval [CI], 2.79-4.52), followed by subjects with chronic lung disease (HR, 2.21; 95% CI, 1.64-2.79) and heart disease (HR, 1.45; 95% CI, 1.09-1.93). The hazard for depressive symptoms for most of these diseases decreased over time; however, subjects with heart disease continued to have a higher risk for depressive symptoms even 2 to 4 years and 4 to 8 years after diagnosis, and a significantly higher hazard for depressive symptoms developed for persons with arthritis 2 to 4 years after diagnosis (HR, 1.46; 95% CI, 1.11-1.92). Conclusion: The findings identify several high-risk patient groups who might benefit from depression screening and monitoring to improve health outcomes in this vulnerable population facing new medical illnesses.
AB - Background: This study examines the risk of development of significant depressive symptoms after a new diagnosis of cancer, diabetes, hypertension, heart disease, arthritis, chronic lung disease, or stroke. Methods: The study used 5 biennial waves (1992-2000) of the Health and Retirement Study to follow a sample of 8387 adults (aged 51 to 61 years and without significant depressive symptoms in 1992) from 1994 to 2000. Time-dependent Cox regression models estimated adjusted hazard ratios (HRs) for an episode of significant depressive symptoms after a new diagnosis for each of the 7 medical conditions. Results: Within 2 years of initial diagnosis, subjects with cancer had the highest hazard of depressive symptoms (HR, 3.55; 95% confidence interval [CI], 2.79-4.52), followed by subjects with chronic lung disease (HR, 2.21; 95% CI, 1.64-2.79) and heart disease (HR, 1.45; 95% CI, 1.09-1.93). The hazard for depressive symptoms for most of these diseases decreased over time; however, subjects with heart disease continued to have a higher risk for depressive symptoms even 2 to 4 years and 4 to 8 years after diagnosis, and a significantly higher hazard for depressive symptoms developed for persons with arthritis 2 to 4 years after diagnosis (HR, 1.46; 95% CI, 1.11-1.92). Conclusion: The findings identify several high-risk patient groups who might benefit from depression screening and monitoring to improve health outcomes in this vulnerable population facing new medical illnesses.
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U2 - 10.1001/archinte.165.11.1260
DO - 10.1001/archinte.165.11.1260
M3 - Article
C2 - 15956005
AN - SCOPUS:21744452493
SN - 0003-9926
VL - 165
SP - 1260
EP - 1266
JO - Archives of internal medicine
JF - Archives of internal medicine
IS - 11
ER -