Namkee G Choi1, Jinseok Kim2, C Nathan Marti3, G John Chen4. 1. School of Social Work, University of Texas at Austin, Austin, TX. Electronic address: nchoi@austin.utexas.edu. 2. Department of Social Welfare, Seoul Women's University, Seoul, Korea. 3. Division of Statistics and Scientific Computation, College of Natural Sciences, University of Texas at Austin, Austin, TX. 4. Division of Health Services Research, Department of Internal Medicine, the University of Kansas Medical Center, Kansas City, KS.
Abstract
OBJECTIVES: Empirical studies of the relationship between depression and cardiovascular disease (CVD) tend to be limited to examination of one-way relationships. This study assessed both cross-sectional association and longitudinal reciprocal relationships between late-life depressive symptoms and CVD. METHODS: The National Health and Aging Trends Study waves 1 (T1) and 2 (T2, one year later) provided the data. The study sample (N = 5,414) represented Medicare beneficiaries aged 65 years or older. We fit structural equation models to examine: 1) cross-sectional association between depression and CVD at each wave; and 2) longitudinal reciprocal relationship between T1 depression and T2 CVD and between T1 CVD and T2 depression. RESULTS: At T1, 28.6% reported a CVD diagnosis, and at T2, 4.9% reported having had a new diagnosis or new episode of heart attack or heart disease and 2.2% reported having had a stroke since T1. In addition to significant cross-sectional relationships between depression and CVD, T1 CVD had significant impact on T2 depressive symptoms, and T1 depressive symptoms had significant impact on T2 CVD, with a 1-point increase in depressive symptom score increasing the odds of having a new CVD diagnosis or episode by 21%. CONCLUSIONS: The care of older adults with CVD and/or depression needs to include interventions focusing on lifestyle and psychological factors that can reduce risks for both CVD and depression. Depression prevention and treatment also needs to be an integral part of CVD prevention and management.
OBJECTIVES: Empirical studies of the relationship between depression and cardiovascular disease (CVD) tend to be limited to examination of one-way relationships. This study assessed both cross-sectional association and longitudinal reciprocal relationships between late-life depressive symptoms and CVD. METHODS: The National Health and Aging Trends Study waves 1 (T1) and 2 (T2, one year later) provided the data. The study sample (N = 5,414) represented Medicare beneficiaries aged 65 years or older. We fit structural equation models to examine: 1) cross-sectional association between depression and CVD at each wave; and 2) longitudinal reciprocal relationship between T1 depression and T2 CVD and between T1 CVD and T2 depression. RESULTS: At T1, 28.6% reported a CVD diagnosis, and at T2, 4.9% reported having had a new diagnosis or new episode of heart attack or heart disease and 2.2% reported having had a stroke since T1. In addition to significant cross-sectional relationships between depression and CVD, T1 CVD had significant impact on T2 depressive symptoms, and T1 depressive symptoms had significant impact on T2 CVD, with a 1-point increase in depressive symptom score increasing the odds of having a new CVD diagnosis or episode by 21%. CONCLUSIONS: The care of older adults with CVD and/or depression needs to include interventions focusing on lifestyle and psychological factors that can reduce risks for both CVD and depression. Depression prevention and treatment also needs to be an integral part of CVD prevention and management.
Authors: Bernhard T Baune; Michael Stuart; Ashley Gilmour; Heike Wersching; Volker Arolt; Klaus Berger Journal: Gen Hosp Psychiatry Date: 2012-07-06 Impact factor: 3.238
Authors: Kimberly M Henderson; Cari J Clark; Tené T Lewis; Neelum T Aggarwal; Todd Beck; Hongfei Guo; Scott Lunos; Ann Brearley; Carlos F Mendes de Leon; Denis A Evans; Susan A Everson-Rose Journal: Stroke Date: 2012-12-13 Impact factor: 7.914
Authors: Hendrika J Luijendijk; Bruno H Ch Stricker; Renske G Wieberdink; Peter J Koudstaal; Albert Hofman; Monique M Breteler; Henning Tiemeier Journal: Stroke Date: 2011-05-12 Impact factor: 7.914
Authors: Angelo Scuteri; Anna Modestino; Francesca Fedullo; Antonio Pietro Assisi; Walter Gianni Journal: J Gerontol A Biol Sci Med Sci Date: 2012-11-15 Impact factor: 6.053
Authors: Lia Gentil; Helen Maria Vasiliadis; Michel Préville; Cindy Bossé; Djamal Berbiche Journal: J Am Geriatr Soc Date: 2012-10-30 Impact factor: 5.562
Authors: Kavita Radhakrishnan; Cynthia S Jacelon; Carol Bigelow; Joan P Roche; Jenna L Marquard; Kathryn H Bowles Journal: J Cardiovasc Nurs Date: 2013 May-Jun Impact factor: 2.083
Authors: Miyong T Kim; Kim B Kim; Hae-Ra Han; Boyun Huh; Tam Nguyen; Hochang B Lee Journal: Am J Geriatr Psychiatry Date: 2014-11-25 Impact factor: 4.105
Authors: Howard J Aizenstein; Andrius Baskys; Maura Boldrini; Meryl A Butters; Breno S Diniz; Manoj Kumar Jaiswal; Kurt A Jellinger; Lev S Kruglov; Ivan A Meshandin; Milija D Mijajlovic; Guenter Niklewski; Sarah Pospos; Keerthy Raju; Kneginja Richter; David C Steffens; Warren D Taylor; Oren Tene Journal: BMC Med Date: 2016-11-03 Impact factor: 8.775