Background: Psychiatric data on population groups of geographic and social isolates are rare, but can potentially give insights into factors of aetiological importance. The Zeway islanders have lived in geographic and cultural isolation for over three centuries.
Aim: To determine the prevalence of major psychiatric disorders among the adult population of Zeway islands.
Methods: A three stage screening design that included the use of structured interview instruments (CIDI and SCAN), key informants, and clinical assessment by psychiatrists was employed for case identification.
Results: Prevalence of bipolar disorders among the adult population (n = 1691) was 1.83% (n = 31) with 66% of the cases originating from one of the islands that constitutes only 17.33% of the study population. Only one subject was identified with schizophrenia.
Conclusions: A pattern of differential prevalence for bipolar disorders and schizophrenia appears to exist in this isolated population, which also seems shared by other isolated population groups. The high prevalence of bipolar disorders with clustering of cases on one island may represent an environmental or genetic factor of etiologic relevance that deserves further exploration.
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http://dx.doi.org/10.1016/S0165-0327(02)00345-2 | DOI Listing |
Nat Neurosci
January 2025
Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.
Psychiatric disorders are multifactorial and effective treatments are lacking. Probable contributing factors to the challenges in therapeutic development include the complexity of the human brain and the high polygenicity of psychiatric disorders. Combining well-powered genome-wide and brain-wide genetics and transcriptomics analyses can deepen our understanding of the etiology of psychiatric disorders.
View Article and Find Full Text PDFBiol Psychiatry
January 2025
Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, The Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: Bipolar disorder (BD) is a severe psychiatric condition with unclear etiology and no established biomarkers. Here, we aimed to characterize the cerebrospinal fluid (CSF) proteome in euthymic BD individuals to identify potential protein biomarkers.
Methods: We employed nano-flow liquid chromatography coupled to high-resolution mass spectrometry to quantify over 2,000 CSF proteins in 374 individuals from two independent clinical cohorts (n=164+89 and 66+55 cases and controls, respectively).
BMJ Ment Health
January 2025
Division of Psychiatry, University College London, London, UK.
Background: People with severe mental illness (SMI) are at increased risk of cardiovascular disease (CVD), and initiatives for CVD risk factor screening in the UK have not reduced disparities.
Objectives: To describe the annual screening prevalence for CVD risk factors in people with SMI from April 2000 to March 2018, and to identify factors associated with receiving no screening and regular screening.
Methods: We identified adults with a diagnosis of SMI (schizophrenia, bipolar disorder or 'other psychosis') from UK primary care records in Clinical Practice Research Datalink.
Br J Psychiatry
January 2025
Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, David Geffen School of Medicine, University of California Los Angeles, USA; Department of Human Genetics, University of California Los Angeles, USA; and Department of Computational Medicine, University of California Los Angeles, USA.
Background: Accurate diagnosis of bipolar disorder (BPD) is difficult in clinical practice, with an average delay between symptom onset and diagnosis of about 7 years. A depressive episode often precedes the first manic episode, making it difficult to distinguish BPD from unipolar major depressive disorder (MDD).
Aims: We use genome-wide association analyses (GWAS) to identify differential genetic factors and to develop predictors based on polygenic risk scores (PRS) that may aid early differential diagnosis.
medRxiv
January 2025
Department of Maternal-Fetal Medicine, Advocate Aurora Health, Downers Grove, IL.
Objective: To examine the association between mood disorders in pregnancy and postpartum and peripartum cardiomyopathy (PPCM).
Methods: Retrospective cohort study utilizing the National Inpatient Sample from the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality of pregnant and postpartum patients from 2017-2019. Patients were separated into two groups based on ICD-10 coding for presence or absence of mood disorder (depression, bipolar depression, anxiety, or other mood diagnosis).
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