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      Diabetes and ischemic heart disease: double jeopardy with regard to depressive mood and reduced quality of life

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          Abstract

          The aim of this study was to test i) whether patients having diabetes and ischemic heart disease (IHD), i.e., patients suffering from two chronic diseases, demonstrate a higher degree of chronic stress when compared with patients suffering from IHD alone, and ii) whether suffering from the two chronic diseases results in an elevation in specific elements of the chronic stress concept. A total of 361 participants with IHD were included, of whom 47 suffered from concomitant diabetes. Stress was measured by pressure pain sensitivity (PPS) and by the following questionnaires: the Major Depression Inventory (MDI), the SF-36 Quality of Life questionnaire (SF-36 QOL), the WHO-5 Well-being Index, and the clinical stress signs (CSSs) scale. Participants with diabetes and IHD had a higher MDI score, a lower SF-36 physical component summary score, and a lower score of several sub-measurements of the SF-36 mental component score when compared with patients with IHD without diabetes. No significant differences were observed regarding stress measured by the PPS measure, the WHO-5 Well-being Index, or the number of CSSs. In conclusion, the combination of diabetes and IHD seems to be associated with increased depressive symptoms, lower overall physical QOL, and reduced mental QOL on several sub-elements of the questionnaire. This should be recognized in the management of patients with double diagnoses.

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          Most cited references12

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          The prevalence of comorbid depression in adults with diabetes: a meta-analysis.

          To estimate the odds and prevalence of clinically relevant depression in adults with type 1 or type 2 diabetes. Depression is associated with hyperglycemia and an increased risk for diabetic complications; relief of depression is associated with improved glycemic control. A more accurate estimate of depression prevalence than what is currently available is needed to gauge the potential impact of depression management in diabetes. MEDLINE and PsycINFO databases and published references were used to identify studies that reported the prevalence of depression in diabetes. Prevalence was calculated as an aggregate mean weighted by the combined number of subjects in the included studies. We used chi(2) statistics and odds ratios (ORs) to assess the rate and likelihood of depression as a function of type of diabetes, sex, subject source, depression assessment method, and study design. A total of 42 eligible studies were identified; 20 (48%) included a nondiabetic comparison group. In the controlled studies, the odds of depression in the diabetic group were twice that of the nondiabetic comparison group (OR = 2.0, 95% CI 1.8-2.2) and did not differ by sex, type of diabetes, subject source, or assessment method. The prevalence of comorbid depression was significantly higher in diabetic women (28%) than in diabetic men (18%), in uncontrolled (30%) than in controlled studies (21%), in clinical (32%) than in community (20%) samples, and when assessed by self-report questionnaires (31%) than by standardized diagnostic interviews (11%). The presence of diabetes doubles the odds of comorbid depression. Prevalence estimates are affected by several clinical and methodological variables that do not affect the stability of the ORs.
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            Major depression in individuals with chronic medical disorders: prevalence, correlates and association with health resource utilization, lost productivity and functional disability.

            The objective of this study was to determine the prevalence and odds of major depression and the incremental effect of major depression on utilization, lost productivity and functional disability in individuals with common chronic medical disorders. Data on 30,801 adults from the 1999 National Health Interview Survey were analyzed. The 12-month prevalence and age/sex-adjusted odds of major depression were calculated for adults with hypertension (HTN), diabetes mellitus (DM), coronary artery disease (CAD), congestive heart failure (CHF), stroke or cerebrovascular accident (CVA), chronic obstructive pulmonary disease (COPD) and end-stage renal disease (ESRD). The association between chronic condition status (with and without major depression) and utilization, lost productivity and functional disability was determined by controlling for covariates. The 12-month prevalence and age/sex-adjusted odds of major depression by chronic conditions were as follows: CHF, 7.9% [odds ratio (OR)=1.96]; HTN, 8.0% (OR=2.00); DM, 9.3% (OR=1.96); CAD, 9.3% (OR=2.30); CVA, 11.4% (OR=3.15); COPD, 15.4% (OR=3.21); ESRD, 17.0% (OR=3.56); any chronic condition, 8.8% (OR=2.61). Compared to adults without chronic conditions, those with chronic conditions plus major depression had greater odds of > or = 1 ambulatory visit [OR=1.50; 95% confidence interval (95% CI)=1.28, 1.77]; > or = 1 emergency room visit (OR=1.94; 95% CI=1.55, 2.45); and > or = 1 day in bed due to illness (OR=1.60; 95% CI=1.28, 2.00); and functional disability (OR=2.48; 95% CI=1.96, 3.15). The 12-month prevalence and odds of major depression are high in individuals with chronic medical conditions, and major depression is associated with significant increases in utilization, lost productivity and functional disability.
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              Experimental and clinical applications of quantitative sensory testing applied to skin, muscles and viscera.

              Quantification of the human painful sensory experience is an essential step in the translation of knowledge from animal nociception to human pain. Translational models for assessment of pain are very important, as such models can be used in: 1) basic mechanistic studies in healthy volunteers; 2) clinical studies for diagnostic and monitoring purposes; 3) pharmacological studies to evaluate analgesic efficacy of new and existing compounds. Quantitative pain assessment, or quantitative sensory testing (QST), provides psychophysical methods that systematically document alterations and reorganization in nervous system function and, in particular, the nociceptive system. QST is defined as the determination of thresholds or stimulus response curves for sensory processing under normal and pathophysiological conditions. The modern concept of advanced QST for experimental pain assessment is a multimodality, multitissue approach where different pain modalities (thermal, mechanical, electrical, and chemical) are applied to different tissues (skin, muscles, and viscera) and the responses are assessed by psychophysical methods (thresholds and stimulus-response functions). Many new and advanced technologies have been developed to help relieve evoked, standardized, and painful reactions. Assessing pain has become a question of solving a multi-input, multi-output problem, with the solution providing the possibility of teasing out which pain pathways and mechanisms are involved, impaired, or affected. Many methodologies have been developed for quantitative assessment of pain perception and involved mechanisms. This paper describes the background for the different methods, the use in basic pain experiments on healthy volunteers, how they can be applied in drug profiling, and the applications in clinical practice.

                Author and article information

                Journal
                Endocr Connect
                Endocr Connect
                EC
                Endocrine Connections
                Bioscientifica Ltd (Bristol )
                2049-3614
                16 September 2014
                01 December 2014
                : 3
                : 4
                : 156-160
                Affiliations
                [1 ]Department of Endocrinology, Herlev University Hospital , Herlev, Denmark
                [2 ]Ull Care A/S , Hellerup, Denmark
                [3 ]Psychiatric Research Unit, Psychiatric Center North Zealand , Hillerød, Denmark
                [4 ]The Cardiovascular Institute, Sahlgrenska University Hospital , Goteborg, Sweden
                [5 ]The National Research Center for the Working Environment , Copenhagen, Denmark
                [6 ]Faculty of Health and Medical Sciences, Copenhagen University , Copenhagen, Denmark
                Author notes
                Correspondence should be addressed to N Bergmann Email: n.c.bergmann@ 123456hotmail.com
                Article
                EC140083
                10.1530/EC-14-0083
                4165035
                25139960
                b85e709b-af59-4b79-99a9-85ed21b204eb
                © 2014 The authors

                This work is licensed under a Creative Commons Attribution 3.0 Unported License

                History
                : 28 July 2014
                : 19 August 2014
                Categories
                Research

                diabetes,ischemic heart disease,psychological stress,depressive symptoms,well-being,pressure pain sensitivity

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