Sex differences in the age of onset of affective disorders

1993 ◽  
Vol 34 (3) ◽  
pp. 187-191 ◽  
Author(s):  
Richard C. Evenson ◽  
Scott T. Meier ◽  
Brian J. Hagan
2020 ◽  
Vol 63 (6) ◽  
pp. 40-50
Author(s):  
Hugo Enrique Hernández-Martínez ◽  
Marta Georgina Ochoa-Madrigal

The diagnosis and treatment of bipolar disorders (BPD) in children is currently one of the biggest challenges and area of controversy in the field of child psychiatry. Bipolar disorders encompass several affective disorders that involve alterations in the degree of activity, content and form of thinking that are characterized by biphasic episodes of mood. This group of disorders affect approximately 1% of the world population and begin in youth (the average age of onset of ~20 years). However, in some studies a delay of 5 years has been observed since the presentation of symptoms at the beginning of the treatment. Currently, the diagnosis of TBP in children and adolescents should be based on the same set of symptoms applied to adults, as well as the general principles of the treatment. The research carried out around this disorder has resulted in changes in the conceptualization and approach of this pathology, now conceived as a group of disorders that share changes in mood and other cardinal symptoms, of a chronic and progressive nature that impacts in a negative way in those who suffer them. Key words: Bipolar disorder; childhood; mania; hypomania; depression.


Sleep Health ◽  
2021 ◽  
Author(s):  
Nina C. Polyné ◽  
Katherine E. Miller ◽  
Janeese Brownlow ◽  
Philip R. Gehrman

2018 ◽  
Vol 42 (5) ◽  
pp. 1088-1091 ◽  
Author(s):  
Abigail E. Salinero ◽  
Brian M. Anderson ◽  
Kristen L. Zuloaga

1990 ◽  
Vol 156 (6) ◽  
pp. 842-845 ◽  
Author(s):  
Charles D. T. Sibisi

Data from a UK national sample showed differences between the sexes in age-specific inception rates for mania. Women had a higher inception rate than men during the middle years. The cumulative admission rates were nearly equal between the sexes.


2019 ◽  
Vol 29 ◽  
pp. S215-S216
Author(s):  
Chuan Jiao ◽  
Richard Kopp ◽  
Elizabeth Kuney ◽  
Chao Chen ◽  
Chunyu Liu

2006 ◽  
Vol 15 (3) ◽  
pp. 176-184 ◽  
Author(s):  
Antonio Terracciano ◽  
Robert R. McCrae

SUMMARYAims – This article provides a brief review of recent cross-cultural research on personality traits at both individual and culture levels, highlighting the relevance of recent findings for psychiatry. Method – In most cultures around the world, personality traits can be clearly summarized by the five broad dimensions of the Five-Factor Model (FFM), which makes it feasible to compare cultures on personality and psychopathology. Results – Maturational patterns and sex differences in personality traits generally show cultural invariance, which generates the hypothesis that age of onset, clinical evolution, and sex differences in the prevalence of psychiatric disorders might follow similar universal patterns. The average personality profiles from 51 cultures show meaningful geographical distributions and associations with culture-level variables, but are clearly unrelated to national character stereotypes. Conclusions – Aggregate personality scores can potentially be related to epidemiological data on psychiatric disorders, and dimensional personality models have implications for psychiatric diagnosis and treatment around the world.Declaration of Interest: This research was supported by the Intramural Research Program of the NIH, National Institute on Aging. Robert R. McCrae receives royalties from the Revised NEO Personality Inventory.


2016 ◽  
Vol 18 (3) ◽  
pp. 272-281 ◽  
Author(s):  
Anne Høye ◽  
Ragnar Nesvåg ◽  
Ted Reichborn-Kjennerud ◽  
Bjarne K. Jacobsen

2008 ◽  
Vol 39 (5) ◽  
pp. 763-771 ◽  
Author(s):  
J. G. Fiedorowicz ◽  
A. C. Leon ◽  
M. B. Keller ◽  
D. A. Solomon ◽  
J. P. Rice ◽  
...  

BackgroundSuicide is a leading cause of death and has been strongly associated with affective disorders. The influence of affective disorder polarity on subsequent suicide attempts or completions and any differential effect of suicide risk factors by polarity were assessed in a prospective cohort.MethodParticipants with major affective disorders in the National Institute of Mental Health (NIMH) Collaborative Depression Study (CDS) were followed prospectively for up to 25 years. A total of 909 participants meeting prospective diagnostic criteria for major depressive and bipolar disorders were followed through 4204 mood cycles. Suicidal behavior was defined as suicide attempts or completions. Mixed-effects, grouped-time survival analysis assessed risk of suicidal behavior and differential effects of risk factors for suicidal behavior by polarity. In addition to polarity, the main effects of age, gender, hopelessness, married status, prior suicide attempts and active substance abuse were modeled, with mood cycle as the unit of analysis.ResultsAfter controlling for age of onset, there were no differences in prior suicide attempts by polarity although bipolar participants had more prior severe attempts. During follow-up, 40 cycles ended in suicide and 384 cycles contained at least one suicide attempt. Age, hopelessness and active substance abuse but not polarity predicted suicidal behavior. The effects of risk factors did not differ by polarity.ConclusionsBipolarity does not independently influence risk of suicidal behavior or alter the influence of well-established suicide risk factors within affective disorders. Suicide risk assessment strategies may continue to appraise these common risk factors without regard to mood polarity.


F1000Research ◽  
2019 ◽  
Vol 8 ◽  
pp. 387
Author(s):  
Michelle Hsu ◽  
Mehek Dedhia ◽  
Wim Crusio ◽  
Anna Delprato

Background: The APOE gene encodes apolipoprotein ε (ApoE), a protein that associates with lipids to form lipoproteins that package and traffic cholesterol and lipids through the bloodstream. There are at least three different alleles of the APOE gene: APOE2, APOE3, and APOE4. The APOE4 allele increases an individual's risk for developing late-onset Alzheimer disease (AD) in a dose-dependent manner. Sex differences have been reported for AD susceptibility, age of onset, and symptom progression, with females being more affected than males. Methods: In this study, we use a systems biology approach to examine gene expression patterns in the brains of aged female and male individuals who are positive for the APOE4 allele in order to identify possible sex-related differences that may be relevant to AD. Results: Based on correlation analysis, we identified a large number of genes with an expression pattern similar to that of APOE in APOE4-positive individuals. The number of these genes was much higher in APOE4-positive females than in APOE4-positive males, who in turn had more of such genes than APOE4-negative control groups. Conclusions: Profiling of these genes using Gene Ontology (GO) term classification, pathway enrichment, and differential expression analysis supports the idea of a transcriptional role of APOE with respect to sex differences and AD.


2020 ◽  
Author(s):  
Gabriel E. Hoffman ◽  
Yixuan Ma ◽  
Kelsey S. Montgomery ◽  
Jaroslav Bendl ◽  
Manoj Kumar Jaiswal ◽  
...  

AbstractWhile schizophrenia differs between males and females in age of onset, symptomatology and the course of the disease, the molecular mechanisms underlying these differences remain uncharacterized. In order to address questions about the sex-specific effects of schizophrenia, we performed a large-scale transcriptome analysis of RNA-seq data from 437 controls and 341 cases from two distinct cohorts from the CommonMind Consortium. Analysis across the cohorts identifies a reproducible gene expression signature of schizophrenia that is highly concordant with previous work. Differential expression across sex is reproducible across cohorts and identifies X- and Y-linked genes, as well as those involved in dosage compensation. Intriguingly, the sex expression signature is also enriched for genes involved in neurexin family protein binding and synaptic organization. Differential expression analysis testing a sex-by-diagnosis interaction effect did not identify any genome-wide signature after multiple testing corrections. Gene coexpression network analysis was performed to reduce dimensionality and elucidate interactions among genes. We found enrichment of co-expression modules for sex-by-diagnosis differential expression signatures, which were highly reproducible across the two cohorts and involve a number of diverse pathways, including neural nucleus development, neuron projection morphogenesis, and regulation of neural precursor cell proliferation. Overall, our results indicate that the effect size of sex differences in schizophrenia gene expression signatures is small and underscore the challenge of identifying robust sex-by-diagnosis signatures, which will require future analyses in larger cohorts.


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