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      Diabetes increases the risk of depression: A systematic review, meta-analysis and estimates of population attributable fractions based on prospective studies

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          Abstract

          We aim to examine the relationship between diabetes and depression risk in longitudinal cohort studies and by how much the incidence of depression in a population would be reduced if diabetes was reduced. Medline/PubMed, EMBASE, PsycINFO, and Cochrane Library databases were searched for English-language published literature from January 1990 to December 2017. Longitudinal studies with criteria for depression and self-report doctors' diagnoses or diagnostic blood test measurement of diabetes were assessed. Systematic review with meta-analysis synthesized the results. Study quality, heterogeneity, and publication bias were examined. Pooled odds ratios were calculated using random effects models. Population attributable fractions (PAFs) were used to estimate potential preventive impact. Twenty high-quality articles met inclusion criteria and were analyzed. The pooled odds ratio (OR) between diabetes and depression was 1.33 (95% CI, 1.18–1.51). For the various study types the ORs were as follows: prospective studies (OR 1.34, 95% CI 1.14–1.57); retrospective studies (OR 1.30, 95% CI 1.05–1.62); self-reported diagnosis of diabetes (OR 1.37, 95% CI 1.17–1.60); and diagnostic diabetes blood test (OR 1.25, 95% CI 1.04–1.52). PAFs suggest that over 9.5 million of global depression cases are potentially attributable to diabetes. A 10–25% reduction in diabetes could potentially prevent 930,000 to 2.34 million depression cases worldwide. Our systematic review provides fairly robust evidence to support the hypothesis that diabetes is an independent risk factor for depression while also acknowledging the impact of risk factor reduction, study design and diagnostic measurement of exposure which may inform preventive interventions.

          Highlights

          • Depression risk is 1.33 times higher in people with diabetes.

          • Prospective studies likely to report depression incidence

          • Self-reported diabetes diagnoses likely to report depression

          • A 10–25% diabetes reduction could prevent 930,000–2.34 million depression.

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          Most cited references43

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          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement.

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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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              Use and misuse of population attributable fractions.

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                Author and article information

                Contributors
                Journal
                Prev Med Rep
                Prev Med Rep
                Preventive Medicine Reports
                Elsevier
                2211-3355
                10 February 2019
                June 2019
                10 February 2019
                : 14
                : 100822
                Affiliations
                [a ]University of Saskatchewan School of Public Health, 104 Clinic Place, Saskatoon, SK S7N 2Z4, Canada
                [b ]The Douglas Hospital Research Centre, 6875 boulevard LaSalle, Montreal H4H 1R3, Canada
                [c ]University of Saskatchewan, Department of Psychiatry and, School of Public Health, 103 Hospital drive, Ellis Hall, Room 107, Saskatoon, SK S7N 0W8, Canada
                Author notes
                [* ]Corresponding author. bac563@ 123456mail.usask.ca
                Article
                S2211-3355(18)30236-5 100822
                10.1016/j.pmedr.2019.100822
                6378921
                30815337
                553da963-126a-44bd-81a4-5c69df6ba193
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 11 October 2018
                : 25 January 2019
                : 6 February 2019
                Categories
                Review Article

                epidemiology,diabetes,depression,systematic review,meta-analysis,population attributable fractions,projected effects

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