Social class “drift” differences among patients with schizophrenia, bipolar disorder, major depressive disorder and schizophrenia “spectrum” disorders

1993 ◽  
Vol 9 (2-3) ◽  
pp. 269
Author(s):  
Carles Muntaner ◽  
Carmi Schooler ◽  
Carrie Schoenbach ◽  
Paula Wolyniec ◽  
AnnE. Pulver
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Social Class ◽  
Depressive Disorder ◽  
Schizophrenia Spectrum Disorders ◽  
Major Depressive ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

scholarly journals Prevalence and correlates of major depressive disorder, bipolar disorder and schizophrenia among nursing home residents without dementia: systematic review and meta-analysis

2019 ◽  
Vol 216 (1) ◽  
pp. 6-15 ◽  
Author(s):  
Michele Fornaro ◽  
Marco Solmi ◽  
Brendon Stubbs ◽  
Nicola Veronese ◽  
Francesco Monaco ◽  
...  
Keyword(s):  
Systematic Review ◽  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Nursing Homes ◽  
Depressive Disorder ◽  
Meta Analysis ◽  
Spectrum Disorder ◽  
Schizophrenia Spectrum Disorder ◽  
Major Depressive ◽  
Schizophrenia Spectrum

BackgroundThe elderly population and numbers of nursing homes residents are growing at a rapid pace globally. Uncertainty exists regarding the actual rates of major depressive disorder (MDD), bipolar disorder and schizophrenia as previous evidence documenting high rates relies on suboptimal methodology.AimsTo carry out a systematic review and meta-analysis on the prevalence and correlates of MDD, bipolar disorder and schizophrenia spectrum disorder among nursing homes residents without dementia.MethodMajor electronic databases were systematically searched from 1980 to July 2017 for original studies reporting on the prevalence and correlates of MDD among nursing homes residents without dementia. The prevalence of MDD in this population was meta-analysed through random-effects modelling and potential sources of heterogeneity were examined through subgroup/meta-regression analyses.ResultsAcross 32 observational studies encompassing 13 394 nursing homes residents, 2110 people were diagnosed with MDD, resulting in a pooled prevalence rate of 18.9% (95% CI 14.8–23.8). Heterogeneity was high (I2 = 97%, P≤0.001); no evidence of publication bias was observed. Sensitivity analysis indicated the highest rates of MDD among North American residents (25.4%, 95% CI 18–34.5, P≤0.001). Prevalence of either bipolar disorder or schizophrenia spectrum disorder could not be reliably pooled because of the paucity of data.ConclusionsMDD is highly prevalent among nursing homes residents without dementia. Efforts towards prevention, early recognition and management of MDD in this population are warranted.

scholarly journals Childhood adversities are different in Schizophrenic Spectrum Disorders, Bipolar Disorder and Major Depressive Disorder

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Antonella Bruni ◽  
Elvira Anna Carbone ◽  
Valentina Pugliese ◽  
Matteo Aloi ◽  
Giuseppina Calabrò ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Childhood Adversities ◽  
Major Depressive ◽  
Spectrum Disorders

scholarly journals The overlap of genetic susceptibility to schizophrenia and cardiometabolic disease can be used to identify metabolically different groups of individuals

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Rona J. Strawbridge ◽  
Keira J. A. Johnston ◽  
Mark E. S. Bailey ◽  
Damiano Baldassarre ◽  
Breda Cullen ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
European Ancestry ◽  
Cardiometabolic Disease ◽  
Metabolic Profiles ◽  
Genome Wide Association Studies ◽  
Uk Biobank ◽  
Major Depressive ◽  
Increased Risk

AbstractUnderstanding why individuals with severe mental illness (Schizophrenia, Bipolar Disorder and Major Depressive Disorder) have increased risk of cardiometabolic disease (including obesity, type 2 diabetes and cardiovascular disease), and identifying those at highest risk of cardiometabolic disease are important priority areas for researchers. For individuals with European ancestry we explored whether genetic variation could identify sub-groups with different metabolic profiles. Loci associated with schizophrenia, bipolar disorder and major depressive disorder from previous genome-wide association studies and loci that were also implicated in cardiometabolic processes and diseases were selected. In the IMPROVE study (a high cardiovascular risk sample) and UK Biobank (general population sample) multidimensional scaling was applied to genetic variants implicated in both psychiatric and cardiometabolic disorders. Visual inspection of the resulting plots used to identify distinct clusters. Differences between these clusters were assessed using chi-squared and Kruskall-Wallis tests. In IMPROVE, genetic loci associated with both schizophrenia and cardiometabolic disease (but not bipolar disorder or major depressive disorder) identified three groups of individuals with distinct metabolic profiles. This grouping was replicated within UK Biobank, with somewhat less distinction between metabolic profiles. This work focused on individuals of European ancestry and is unlikely to apply to more genetically diverse populations. Overall, this study provides proof of concept that common biology underlying mental and physical illness may help to stratify subsets of individuals with different cardiometabolic profiles.

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