6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Effectiveness of Cognitive Behavioral Therapy for Depression and Anxiety in Patients With Cardiovascular Disease : A Systematic Review and Meta-Analysis

      Read this article at

      ScienceOpenPublisher
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Depression and anxiety are highly prevalent in patients with cardiovascular disease (CVD) and influence their mental well-being and CVD prognosis. The primary objective was to assess the effectiveness of cognitive behavioral therapy (CBT) for depression and anxiety in patients with CVD. Secondary objectives were to assess the impact of CBT on cardiovascular mortality, cardiovascular events, patient satisfaction, and quality of life.

          Related collections

          Most cited references23

          • Record: found
          • Abstract: found
          • Article: not found

          Depression in heart failure a meta-analytic review of prevalence, intervention effects, and associations with clinical outcomes.

          This article describes a meta-analysis of published associations between depression and heart failure (HF) in regard to 3 questions: 1) What is the prevalence of depression among patients with HF? 2) What is the magnitude of the relationship between depression and clinical outcomes in the HF population? 3) What is the evidence for treatment effectiveness in reducing depression in HF patients? Key word searches of the Medline and PsycInfo databases, as well as reference searches in published HF and depression articles, identified 36 publications meeting our criteria. Clinically significant depression was present in 21.5% of HF patients, and varied by the use of questionnaires versus diagnostic interview (33.6% and 19.3%, respectively) and New York Heart Association-defined HF severity (11% in class I vs. 42% in class IV), among other factors. Combined results suggested higher rates of death and secondary events (risk ratio = 2.1, 95% confidence interval 1.7 to 2.6), trends toward increased health care use, and higher rates of hospitalization and emergency room visits among depressed patients. Treatment studies generally relied on small samples, but also suggested depression symptom reductions from a variety of interventions. In sum, clinically significant depression is present in at least 1 in 5 patients with HF; however, depression rates can be much higher among patients screened with questionnaires or with more advanced HF. The relationship between depression and poorer HF outcomes is consistent and strong across multiple end points. These findings reinforce the importance of psychosocial research in HF populations and identify a number of areas for future study.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Global and regional patterns in cardiovascular mortality from 1990 to 2013.

            There is a global commitment to reduce premature cardiovascular diseases (CVDs) 25% by 2025. CVD mortality rates have declined dramatically over the past 2 decades, yet the number of life years lost to premature CVD deaths is increasing in low- and middle-income regions. Ischemic heart disease and stroke remain the leading causes of premature death in the world; however, there is wide regional variation in these patterns. Some regions, led by Central Asia, face particularly high rates of premature death from ischemic heart disease. Sub-Saharan Africa and Asia suffer disproportionately from death from stroke. The purpose of the present report is to (1) describe global trends and regional variation in premature mortality attributable to CVD, (2) review past and current approaches to the measurement of these trends, and (3) describe the limitations of existing models of epidemiological transitions for explaining the observed distribution and trends of CVD mortality. We describe extensive variation both between and within regions even while CVD remains a dominant cause of death. Policies and health interventions will need to be tailored and scaled for a broad range of local conditions to achieve global goals for the improvement of cardiovascular health.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              State of the Art Review: Depression, Stress, Anxiety, and Cardiovascular Disease.

              The notion that psychological states can influence physical health is hardly new, and perhaps nowhere has the mind-body connection been better studied than in cardiovascular disease (CVD). Recently, large prospective epidemiologic studies and smaller basic science studies have firmly established a connection between CVD and several psychological conditions, including depression, chronic psychological stress, posttraumatic stress disorder (PTSD), and anxiety. In addition, numerous clinical trials have been conducted to attempt to prevent or lessen the impact of these conditions on cardiovascular health. In this article, we review studies connecting depression, stress/PTSD, and anxiety to CVD, focusing on findings from the last 5 years. For each mental health condition, we first examine the epidemiologic evidence establishing a link with CVD. We then describe studies of potential underlying mechanisms and finally discuss treatment trials and directions for future research.
                Bookmark

                Author and article information

                Journal
                Psychosomatic Medicine
                Psychosomatic Medicine
                Ovid Technologies (Wolters Kluwer Health)
                0033-3174
                2018
                October 2018
                : 80
                : 8
                : 742-753
                Article
                10.1097/PSY.0000000000000626
                6c2b1ed7-8d1a-40ee-a610-aa9793a5ff0b
                © 2018
                History

                Comments

                Comment on this article