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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Affective...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Affective Disorders
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
UnissResearch
Article . 2011
Data sources: UnissResearch
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Gender differences in a cohort study of 604 bipolar patients: The role of predominant polarity

Authors: NIVOLI, Alessandra; Pacchiarotti I; Rosa AR; Popovic D; Murru A; Valenti M; Bonnin CM; +4 Authors

Gender differences in a cohort study of 604 bipolar patients: The role of predominant polarity

Abstract

Some clinical differences between gender regarding the course and outcome of bipolar disorders have already been described and some others remain still controversial.To explore gender differences regarding clinical and socio-demographic characteristics amongst bipolar patients with particular attention to predominant polarity and depressive symptoms.Data were collected from DSM-IV type I and II bipolar patients (n=604), resulting from the systematic follow-up of the Bipolar Disorders Program, Hospital Clinic of Barcelona, over an average follow-up of 10 years. Socio-demographic and clinical variables were collected in order to detect gender-related differences.Bipolar women are more likely than men to show a predominance of depressive polarity as well as a depressive onset whilst men would be more likely to suffer from comorbid substance use disorders. Women significantly have a higher lifetime prevalence of psychotic depression and a higher prevalence of axis II comorbid disorders. Bipolar women are also more likely to have a family history of suicide and a lifetime history of attempted suicide. Suicide attempts are more often violent amongst bipolar men. In a backward logistic regression model, two variables were responsible for most gender-related clinical differences: type of predominant polarity - more likely to be depressive amongst women - (B=-0.794, p=0.027, Exp(B)=0.452; CI= 0.223-0.915), alcohol abuse (B=-1.095, p=0.000, Exp(B)=2990; CI= 1.817-4.919) and cocaine abuse (B=0.784, p=0.033, Exp(B)=2.189; CI= 1.066-4.496) - more prevalent amongst men.The main characteristic featuring bipolar women is depression, both at illness onset and as a predominant polarity all along the illness course. This may have important diagnostic and therapeutic implications.

Country
Italy
Keywords

Adult, Male, Depressive Disorder, Bipolar Disorder, Depression, Major Depressive Disorder, Substance-Related Disorders, Suicide, Attempted, Comorbidity, Middle Aged, Cohort Studies, Diagnostic and Statistical Manual of Mental Disorders, Alcoholism, Suicide, Sex Factors, Humans, Female, Follow-Up Studies

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
169
Top 1%
Top 10%
Top 1%
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