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      The association between depressive symptoms in the community, non-psychiatric hospital admission and hospital outcomes: A systematic review

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          Abstract

          Objectives

          This paper aims to systematically review observational studies that have analysed whether depressive symptoms in the community are associated with higher general hospital admissions, longer hospital stays and increased risk of re-admission.

          Methods

          We identified prospective studies that looked at depressive symptoms in the community as a risk factor for non-psychiatric general hospital admissions, length of stay or risk of re-admission. The search was carried out on MEDLINE, PsycINFO, Cochrane Library Database, and followed up with contact with authors and scanning of reference lists.

          Results

          Eleven studies fulfilled our inclusion and exclusion criteria, and all were deemed to be of moderate to high quality. Meta-analysis of seven studies with relevant data suggested that depressive symptoms may be a predictor of subsequent admission to a general hospital in unadjusted analyses (RR = 1.36, 95% CI: 1.28–1.44), but findings after adjustment for confounding variables were inconsistent. The narrative synthesis also reported depressive symptoms to be independently associated with longer length of stay, and higher re-admission risk.

          Conclusions

          Depressive symptoms are associated with a higher risk of hospitalisation, longer length of stay and a higher re-admission risk. Some of these associations may be mediated by other factors, and should be explored in more details.

          Highlights

          • We reviewed the relationship between depression and non-psychiatric hospitalisation.

          • Depressive symptoms were associated with hospitalisation (RR = 1.4, 95% CI: 1.3–1.4).

          • Adjustment for confounders reduced the magnitude of associations.

          • Depression was also associated with longer length of stay and re-admission.

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          Most cited references36

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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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            Epidemiology and treatment of depression in patients with chronic medical illness

            There is a bidirectional relationship between depression and chronic medical disorders. The adverse health risk behaviors and psychobiological changes associated with depression increase the risk for chronic medical disorders, and biological changes and complications associated with chronic medical disorders may precipitate depressive episodes. Comorbid depression is associated with increased medical symptom burden, functional impairment, medical costs, poor adherence to self-care regimens, and increased risk of morbidity and mortality in patients with chronic medical disorders. Depression may worsen the course of medical disorders because of its effect on proinflammatory factors, hypothalamic-pituitary axis, autonomic nervous system, and metabolic factors, in addition to being associated with a higher risk of obesity, sedentary lifestyle, smoking, and poor adherence to medical regimens. Both evidence-based psychotherapies and antidepressant medication are efficacious treatments for depression. Collaborative depression care has been shown to be an effective way to deliver these treatments to large primary care populations with depression and chronic medical illness.
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              Excess mortality in depression: a meta-analysis of community studies.

              Although most studies examining the relationship between depression and mortality indicate that there is excess mortality in depressed subjects, this is not confirmed in all studies. Furthermore, it has been hypothesized that mortality rates in depressed men are higher than in depressed women. Finally, it is not clear if the increased mortality rates exist only in major depression or also in subclinical depression. A meta-analysis was conducted to examine these questions. A total of 25 studies with 106,628 subjects, of whom 6416 were depressed, were examined. Both univariate and multivariate analyses were conducted. The overall relative risk (RR) of dying in depressed subjects was 1.81 (95% CI: 1.58-2.07) compared to non-depressed subjects. No major differences were found between men and women, although the RR was somewhat larger in men. The RR in subclinical depression was no smaller than the RR in clinical depression. Only RRs of mortality were examined, which were not corrected for important confounding variables, such as chronic illnesses, or life-style. In the selected studies important differences existed between study characteristics and populations. The number of comparisons was relatively small. There is an increased risk of mortality in depression. An important finding of this study is that the increased risk not only exists in major depression, but also in subclinical forms of depression. In many cases, depression should be considered as a life-threatening disorder.
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                Author and article information

                Contributors
                Journal
                J Psychosom Res
                J Psychosom Res
                Journal of Psychosomatic Research
                Pergamon Press
                0022-3999
                1879-1360
                1 January 2015
                January 2015
                : 78
                : 1
                : 25-33
                Affiliations
                [a ]Department of Public Health & Primary Care, Institute of Public Health, Cambridge University, UK
                [b ]NIHR Collaboration for Leadership in Applied Health Research & Care for Cambridgeshire & Peterborough (CLAHRC-CP), UK
                [c ]Division of Psychiatry, Institute of Mental Health, University of Nottingham, UK
                [d ]Department of Epidemiology & Biostatistics, VU University Medical Center, Amsterdam, The Netherlands
                [e ]EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
                [f ]Department of Psychiatry, VU University Medical Center, Amsterdam, The Netherlands
                [g ]Department of Sociology, VU University, Amsterdam, The Netherlands
                [h ]King's College London, Institute of Psychiatry, Health Service and Population Research Department, Centre for Global Mental Health, London, UK
                Author notes
                [* ]Corresponding author at: King's College London, Institute of Psychiatry, Centre for Global Mental Health, Health Service and Population Research Department, PO36, David Goldberg Centre, De Crespigny Park, Denmark Hill, London SE5 8AF, UK. Tel.: + 44 20 7848 0906; fax: + 44 20 7848 5056. matthew.prina@ 123456kcl.ac.uk
                Article
                S0022-3999(14)00382-1
                10.1016/j.jpsychores.2014.11.002
                4292984
                25466985
                6b2415b8-22ca-4c94-89d3-d1ee3b65d27a
                © 2014 The Authors. Published by Elsevier Inc.

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/).

                History
                : 7 June 2014
                : 29 October 2014
                : 4 November 2014
                Categories
                Review

                Clinical Psychology & Psychiatry
                depression,depressive symptoms,hospitalisation,comorbidity,length of stay,patient re-admission

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