Dataset Information

Association of Depression and Anxiety Disorders With Autoimmune Thyroiditis: A Systematic Review and Meta-analysis.

ABSTRACT: Importance:With a prevalence of 4% to 13% in the United States, autoimmune thyroiditis (AIT) is a major health problem. Besides somatic complications, patients with AIT can also experience psychiatric disorders. The extent of these organic psychiatric diseases in patients with AIT, however, is so far not commonly known. Objective:To provide meta-analytic data on the association of depression and anxiety with AIT. Data Sources:Google Scholar, the EBSCO Host databases, the Web of Knowledge, and PubMed were searched from inception through December 5, 2017. Articles identified were reviewed and reference lists were searched manually. Study Selection:Case-control studies that reported the association between AIT and either depression or anxiety disorders or both were included. Data Extraction and Synthesis:Data extraction was performed by multiple observers following the PRISMA guidelines. Two univariate random-effects meta-analyses were performed, and moderators were tested with Bonferroni-corrected meta-regression analysis. Heterogeneity was assessed with the I2 statistic. Sensitivity analyses tested the robustness of the results. Small study effects were assessed with funnel plots and the Egger test. Main Outcomes and Measures:The odds ratio of patients with AIT and depression compared with a healthy control group, as well as the odds ratio of patients with AIT and anxiety disorders compared with a healthy control group. Results:Nineteen studies comprising 21 independent samples were included, with a total of 36?174 participants (35?168 for depression and 34?094 for anxiety). Patients with AIT, Hashimoto thyroiditis, or subclinical or overt hypothyroidism had significantly higher scores on standardized depression instruments, with an odds ratio of 3.56 (95% CI, 2.14-5.94; I2?=?92.1%). For anxiety disorders, patients with AIT, Hashimoto thyroiditis, or subclinical or overt hypothyroidism had an odds ratio of 2.32 (95% CI, 1.40-3.85; I2?=?89.8%). Funnel plot asymmetry was detected for studies of depression. Study quality assessed with the Newcastle-Ottawa Scale for case-control studies (mean [SD] score: anxiety, 5.77 [1.17]; depression, 5.65 [1.14]; of a possible maximum score of 9) and proportion of females did not modulate the meta-analytic estimate, whereas mean age did. Conclusions and Relevance:This meta-analysis establishes the association between AIT and depression and anxiety disorders. Patients with AIT exhibit an increased chance of developing symptoms of depression and anxiety or of receiving a diagnosis of depression and anxiety disorders. This finding has important implications for patients and could lead to the choice of early treatment-and not only psychotherapeutic treatment-of the organic disorder.

SUBMITTER: Siegmann EM

PROVIDER: S-EPMC6137529 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature

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Association of Depression and Anxiety Disorders With Autoimmune Thyroiditis: A Systematic Review and Meta-analysis.

Siegmann Eva-Maria EM Müller Helge H O HHO Luecke Caroline C Philipsen Alexandra A Kornhuber Johannes J Grömer Teja Wolfgang TW

JAMA psychiatry 20180601 6

<h4>Importance</h4>With a prevalence of 4% to 13% in the United States, autoimmune thyroiditis (AIT) is a major health problem. Besides somatic complications, patients with AIT can also experience psychiatric disorders. The extent of these organic psychiatric diseases in patients with AIT, however, is so far not commonly known.<h4>Objective</h4>To provide meta-analytic data on the association of depression and anxiety with AIT.<h4>Data sources</h4>Google Scholar, the EBSCO Host databases, the We ...[more]

PMID: 29800939

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Project description:IntroductionA large number of peer-reviewed studies, with various methodologies and populations, have addressed the effects of food insecurity (FIS) on mental health conditions such as depression, anxiety, and sleep disorders. There are currently, however, no published systematic assessments or meta-analyses of this literature.MethodsA systematic search of the literature was conducted in PubMed, PsycInfo, Embase, Scopus, and Web of Science. Cross-sectional studies assessing the association between food insecurity and depression, anxiety, or sleep disorders were identified. For each of the three health outcomes, we extracted (or calculated when possible) the following effect sizes: odds ratio (OR), Hedges' g, Pearson correlation coefficients r, or bivariate coefficients. Then, for each mental health-outcome/effect-size pair, the available studies were combined using the random effect model. Heterogeneity, publication bias, and subgroup dependence, for each meta-analysis, were also assessed.ResultsFifty-seven studies provided cross-sectional data on the relationship between FIS and depression (n = 169,433), 13 on anxiety and psychological distress (n = 91,957), and 8 studies provided data on sleep disorders (n = 85,788). Meta-analysis showed that FIS is associated with an increased risk of testing positive for depression OR = 2.74 [95% CI 2.52-2.97, n = 135,500, Q(df = 41) = 69, I2 = 40%], anxiety OR = 2.41 [95% CI 1.81-3.22, n = 51,541, Q(df = 3) = 8, I2 = 63%], and sleep disorders OR = 1.80 [95% CI 1.51-2.15, n = 84,800, Q(df = 5) = 13, I2 = 62%]. The highest risks were found for depression and anxiety which had statistically similar values. The results were robust to covariates and population groups.DiscussionThis systematic review and meta-analysis demonstrates a strong association between FIS and depression, anxiety, and sleep disorders, for which more longitudinal studies addressing effect sizes are warranted to further study causation.

Project description:BackgroundPosttraumatic stress disorder is a debilitating psychiatric disorder characterized by symptoms of intrusive re-experiencing of trauma, avoidance and hyper-arousal. Diagnosis and treatment of PTSD is further complicated by concurrently occurring disorders, the most frequent being major depressive disorder and anxiety disorders. Previous research highlights that attentional processing in posttraumatic stress disorder is associated with substantial interference by emotional stimuli, a phenomenon also observed in these concurrently occurring psychiatric disorders. However, the diagnosis-relevance of this interference remains elusive. Here, we investigated the emotional Stroop interference for diagnosis-related stimuli, generally negative stimuli, and generally positive stimuli in posttraumatic stress disorder, major depressive disorder and anxiety disorders.MethodsWe performed a systematic database search in PubMed (Medline), Cochrane Library and PsycINFO on emotional Stroop performance in individuals with a diagnosis of posttraumatic stress disorder, major depressive disorder or anxiety disorders separately. Mean effect sizes, standard errors and confidence intervals were estimated for each clinical group and healthy control group comparison using random effect models.ResultsAs compared to healthy control group, the posttraumatic stress disorder group displayed greater interference by diagnosis-related stimuli and positive stimuli but not for generally negative stimuli. The major depressive disorder and anxiety disorders groups showed greater interference by diagnosis-related and negative stimuli, but not by positive stimuli. The age and sex had no significant impact on interference.ConclusionsThese findings highlight the importance of diagnosis-relevant information on attentional processing in all three clinical populations, posttraumatic stress disorder, major depressive disorder and anxiety disorders. Further, the impact of generally negative stimuli but not generally positive stimuli in major depressive disorder and anxiety disorders indicate impaired attentional bias for mood-congruent stimuli but not for general stimuli. Finally, it remains to be studied whether the influence of generally positive stimuli in posttraumatic stress disorder indicate that positive stimuli are perceived as PTSD related.

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Project description:Background: Burnout is a psychological syndrome characterized by emotional exhaustion, feelings of cynicism and reduced personal accomplishment. In the past years there has been disagreement on whether burnout and depression are the same or different constructs, as they appear to share some common features (e.g., loss of interest and impaired concentration). However, the results so far are inconclusive and researchers disagree with regard to the degree to which we should expect such overlap. The aim of this systematic review and meta-analysis is to examine the relationship between burnout and depression. Additionally, given that burnout is the result of chronic stress and that working environments can often trigger anxious reactions, we also investigated the relationship between burnout and anxiety. Method: We searched the online databases SCOPUS, Web of Science, MEDLINE (PubMed), and Google Scholar for studies examining the relationship between burnout and depression and burnout and anxiety, which were published between January 2007 and August 2018. Inclusion criteria were used for all studies and included both cross-sectional and longitudinal designs, published and unpublished research articles, full-text articles, articles written in the English language, studies that present the effects sizes of their findings and that used reliable research tools. Results: Our results showed a significant association between burnout and depression (r = 0.520, SE = 0.012, 95% CI = 0.492, 0.547) and burnout and anxiety (r = 0.460, SE = 0.014, 95% CI = 0.421, 0.497). However, moderation analysis for both burnout-depression and burnout-anxiety relationships revealed that the studies in which either the MBI test was used or were rated as having better quality showed lower effect sizes. Conclusions: Our research aims to clarify the relationship between burnout-depression and burnout-anxiety relationships. Our findings revealed no conclusive overlap between burnout and depression and burnout and anxiety, indicating that they are different and robust constructs. Future studies should focus on utilizing more longitudinal designs in order to assess the causal relationships between these variables.

Dataset Information

Association of Depression and Anxiety Disorders With Autoimmune Thyroiditis: A Systematic Review and Meta-analysis.

Publications

Association of Depression and Anxiety Disorders With Autoimmune Thyroiditis: A Systematic Review and Meta-analysis.

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