scholarly journals Mood disorders and migration

2007 ◽  
Vol 190 (1) ◽  
pp. 6-10 ◽  
Author(s):  
Sanne G. H. A. Swinnen ◽  
Jean-Paul Selten
Keyword(s):  
Risk Factor ◽  
Relative Risk ◽  
Depressive Disorder ◽  
Affective Disorder ◽  
Mood Disorders ◽  
Bipolar Affective Disorder ◽  
Conclusive Evidence ◽  
Unipolar Depressive Disorder ◽  
Incidence Studies ◽  
The Mean

BackgroundMigration is a risk factor for the development of schizophrenia.AimsTo examine whether migration is also a risk factor for bipolar affective disorder, unipolar depressive disorder and mood disorders in general.MethodMedline was searched for population-based incidence studies concerning mood disorders among migrants and mean relative risks were computed using a mixed-effects statistical model.ResultsOnly a few studies of unipolar depressive disorder were retrieved. The mean relative risk of developing bipolar affective disorder among migrants was 2.47 (95% C11.33–4.59). However, after excluding people of African-Caribbean origin in the UK this risk was no longer significantly increased. The mean relative risk of mood disorders of unspecified polarity was 1.25 (95% CI 1.04–1.49) and that of any mood disorder was 1.38 (95% CI 1.17–1.62).ConclusionsThere is no conclusive evidence for a large increase in the risk of mood disorders associated with migration.

scholarly journals Cognitive errors assessed by observer ratings in bipolar affective disorder: relationship with symptoms and therapeutic alliance

2009 ◽  
Vol 2 (2) ◽  
pp. 92-105 ◽  
Author(s):  
Ueli Kramer ◽  
Guy Bodenmann ◽  
Martin Drapeau
Keyword(s):  
Cognitive Therapy ◽  
Affective Disorder ◽  
Mood Disorders ◽  
Bipolar Affective Disorder ◽  
Cognitive Model ◽  
Control Group ◽  
Cognitive Errors ◽  
Manic Symptoms ◽  
Observer Ratings ◽  
Depressive Patients

AbstractThe construct of cognitive errors is clinically relevant for cognitive therapy of mood disorders. Beck's universality hypothesis postulates the relevance of negative cognitions in all subtypes of mood disorders, as well as positive cognitions for manic states. This hypothesis has rarely been empirically addressed for patients presenting bipolar affective disorder (BD). In-patients (n= 30) presenting with BD were interviewed, as were 30 participants of a matched control group. Valid and reliable observer-rater methodology for cognitive errors was applied to the session transcripts. Overall, patients make more cognitive errors than controls. When manic and depressive patients were compared, parts of the universality hypothesis were confirmed. Manic symptoms are related to positive and negative cognitive errors. These results are discussed with regard to the main assumptions of the cognitive model for depression; thus adding an argument for extending it to the BD diagnostic group, taking into consideration specificities in terms of cognitive errors. Clinical implications for cognitive therapy of BD are suggested.

scholarly journals Features of depressive and anxiety manifestations in the first episode of bipolar affective disorder

2019 ◽  
Vol 25 (3) ◽  
pp. 142-146
Author(s):  
Yu. I. Mysula
Keyword(s):  
Affective Disorder ◽  
Bipolar Affective Disorder ◽  
First Episode ◽  
Depression And Anxiety ◽  
Men And Women ◽  
Treatment And Prevention ◽  
The Mean ◽  
Gender Factor ◽  
The Impact ◽  
Mixed Variant

Background. The study of depression and anxiety in the first episode of BAR is important for the timely detection, treatment and prevention of poor diagnosis of the disease. Objective – the study of the features of depressive and anxiety symptoms of the first episode of bipolar affective disorder, taking into account the gender factor and the clinical type. Materials and methods. We have clinically examined 65 men and 88 women diagnosed with first episode (FE) of bipolar affective disorder (BAD). Results. In patients with depressive FE of BAD, all indicators, with the exception of the undifferentiated depression indicator, in men are slightly higher than in women: the overall indicator (respectively 22.55±3.61 points and 22.16±3.03 points); adynamic depression (17.41±2.62 points and 16.76±2.48 points); pervasive depression (9.75±3.13 points and 9.69±2.66 points); depression with fear (9.34±2.55 points and 9.51±2.27 points); undifferentiated depression (4.89±0.95 points and 5.01±1.22 points); in patients with the mixed variant are not significantly different: accordingly 15,83±2,64 points and 17,00±3,32 points; 11.00±1.67 points and 11.80±1.64 points; 6.67±1.63 points and 6.60±2.07 points; 7.33±1.21 points and 8.00±1.87 points; 3.67±1.03 points and 3.40±1.14 points; in patients with a manic type there are no signs of depression. The indicators of anxiety in men and women do not differ significantly: in the depressive variant, the total indicator was accordingly 21.41±7.01 points and 23.36±7.01 points; psychic anxiety – 13.25±3.86 points and 14.35±3.87 points; somatic anxiety – 8.16±4.05 points and 9.01±4.10 points; when mixed, accordingly, 20,00±4,52 points and 22,00±4,90 points; 13.33±3.27 points and 15.20±2.39 points; 6.67±3.27 points and 6.80±3.70 points; the manic variant showed no signs of anxiety. The mean Zung score for the depressed variant was 68.82±8.30 points and 65.97±8.41 points, accordingly, for the mixed one, 44.00±5.55 points and 50.40±5.32 points, accordingly, at a manic variant 2.13±1.64 points and 2.50±1.60 points. Conclusions. Differences in manifestations of depression and anxiety in the first episode of bipolar affective disorder are determined by the clinical option; the impact of gender on these manifestations is insignificant.

Genetic aetiology of mood disorders

2012 ◽  
pp. 650-658
Author(s):  
Pierre Oswald ◽  
Daniel Souery ◽  
Julien Mendlewicz
Keyword(s):  
Affective Disorder ◽  
Mood Disorders ◽  
Molecular Genetics ◽  
Psychosocial Factors ◽  
Affective Disorders ◽  
Social Life ◽  
Bipolar Affective Disorder ◽  
Molecular Genetic ◽  
The Social ◽  
Life Context

Advances towards the understanding of the etiological mechanisms involved in mood disorders provide interesting yet diverse hypotheses and promising models. In this context, molecular genetics has now been widely incorporated into genetic epidemiological research in psychiatry. Affective disorders and, in particular, bipolar affective disorder (BPAD) have been examined in many molecular genetic studies which have covered a large part of the genome, specific hypotheses such as mutations have also been studied. Most recent studies indicate that several chromosomal regions may be involved in the aetiology of BPAD. Other studies have reported the presence of anticipation in BPAD and in unipolar affective disorder (UPAD). In parallel to these new developments in molecular genetics, the classical genetic epidemiology, represented by twin, adoption and family studies, provided additional evidence in favour of the genetic hypothesis in mood disorders. Moreover, these methods have been improved through models to test the gene-environment interactions. In addition to genetic approaches, psychiatric research has focused on the role of psychosocial factors in the emergence of mood disorders. In this approach, psychosocial factors refer to the patient's social life context as well as to personality dimensions. Abnormalities in the social behavior such as impairment in social relationships have been observed during episode of affective disorders, and implicated in the etiology of affective disorders. Further, gender and socio-economic status also emerged as having a possible impact on the development of affective disorders. Finally, the onset and outcome of affective disorders could also be explained by interactions between the social life context and the individual's temperament and personality. The importance of temperament and personality characteristics in the etiology of depression has been emphasized in various theories, although disagreement exists with regard to terminology and the etiology. While significant advances have been done in these two major fields of research, it appears that integrative models, taking into account the interactions between biological (genetic) factors and social (psychosocial environment) variables offer the most reliable way to approach the complex mechanisms involved in the etiology and outcome of mood disorders. This chapter will review some of the most promising genetic and psychosocial hypotheses in mood disorders that can be integrated in interactive models.

Sleep architecture and comorbid sleep disorders in patients with bipolar affective disorder and recurrent depressive disorder

2019 ◽  
Vol 64 ◽  
pp. S130-S131
Author(s):  
Y. Liao ◽  
J. Benson ◽  
S. Higgins ◽  
P. Drakatos ◽  
J.S. Kaler ◽  
...  
Keyword(s):  
Depressive Disorder ◽  
Sleep Disorders ◽  
Affective Disorder ◽  
Bipolar Affective Disorder ◽  
Sleep Architecture

scholarly journals Incidence of bipolar affective disorder in three UK cities

2005 ◽  
Vol 186 (2) ◽  
pp. 126-131 ◽  
Author(s):  
Tuhina Lloyd ◽  
Noel Kennedy ◽  
Paul Fearon ◽  
James Kirkbride ◽  
Rosemarie Mallett ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Affective Disorder ◽  
Ethnic Groups ◽  
Bipolar Affective Disorder ◽  
Incidence Rates ◽  
First Episode ◽  
Minority Ethnic Groups ◽  
Incidence Studies ◽  
Significant Difference ◽  
Minority Ethnic

BackgroundThere has been a relative dearth of epidemiological research into bipolar affective disorder. Furthermore, incidence studies of bipolar disorder have been predominantly retrospective and most only included hospital admission cases.AimsTo determine the incidence of operationally defined bipolar disorder in three areas of the UK and to investigate any differences in gender and ethnicity.MethodAll patients who contacted mental health services with first-episode psychosis or non-psychotic mania between September 1997 and August 1999 were identified and diagnosed according to ICD–10 criteria. Incidence rates of bipolar affective disorder were standardised for age and stratified by gender and ethnic group across the three areas.ResultsThe incidence rate per 100 000 per year in south-east London was over twice that in Nottingham and Bristol. There was no significant difference in the rates of disorder in men and women. Incidence rates of bipolar disorder in the combined Black and minority ethnic groups in all three areas were significantly higher than those of the comparison White groups.ConclusionsThe incidence of bipolar disorder was higher in south-east London than in the other two areas, and was higher among Black and minority ethnic groups than in the White population.

scholarly journals DEMOGRAPHIC VARIABLES ASSOCIATED WITH DRUG USE IN BIPOLAR PATIENTS

2021 ◽  
Vol 30 (03) ◽  
pp. 114-119
Author(s):  
Aysha Rashid ◽  
Mariam Haroon ◽  
Sumira Qambar Bokhari ◽  
Aysha Butt ◽  
Nauman Mazhar ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Drug Abuse ◽  
Drug Use ◽  
Affective Disorder ◽  
Bipolar Affective Disorder ◽  
Treatment Compliance ◽  
Bipolar Patient ◽  
Cross Sectional ◽  
The Mean ◽  
Bipolar Patients

Background: Substance Use is highly associated with bipolar affective disorder, however the reason for the co-occurrence is unknown. It was evident that if a bipolar patient use  drug of abuse his outcome will be poor. Either it can directly trigger the affective symptoms, or may affect the treatment compliance indirectly. Aims: The objective of this study was to study the demographic correlates of drug abuse in patients with bi-polar affective disorder. Method: Cross-Sectional research design and non-probability consecutive sampling was used to collect data from a private clinic in Lahore. Data was comprised of 368 patients of bipolar disorder. Results: Out of a total of 368 bipolar patients, drug abuse was found in 147 patients that is 39.9%. The results showed that the mean age of the patients was 31.03 ±5.837; mean monthly income was 229597.82 ±164626.77 PKR. The mean duration of illness was 6.54 ±5.157. The mean number of drugs used was 2 ±0.875. The mean cost of drug was 29945.7 ±19068.8 PKR. The mean number of hospitalization was 2.47 ±1.694. Association  between drug use and  occupation of  bipolar patients (0.006), factors leading to initiation of drug use (0.000), family history of drug use (0.001), current episode (0.000) and the type of drugs used (0.000)  was statistically significant. Conclusion: The cause and effect relationship between drug use and bipolar disorder cannot be clearly identified. However occupation of the patient, reasons of initiating drugs, drug abuse in family, current episode as well as  type of drugs used have  significant association  with drug abuse in bipolar patients .

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