Using admixture analysis to examine birth-cohort effects on age at onset of bipolar disorder

2015 ◽  
Vol 133 (3) ◽  
pp. 205-213 ◽  
Author(s):  
J.-L. Golmard ◽  
J. Scott ◽  
B. Etain ◽  
M. Preisig ◽  
J.-M. Aubry ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Birth Cohort ◽  
Age At Onset ◽  
Cohort Effects ◽  
Admixture Analysis

Relationship of Birth Cohort and Early Age at Onset of Illness in a Bipolar Disorder Case Registry

2003 ◽  
Vol 160 (9) ◽  
pp. 1636-1642 ◽  
Author(s):  
K. N. Roy Chengappa ◽  
David J. Kupfer ◽  
Ellen Frank ◽  
Patricia R. Houck ◽  
Victoria J. Grochocinski ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Birth Cohort ◽  
Age At Onset ◽  
Early Age ◽  
Relationship Of

Admixture analysis of age at onset in first episode bipolar disorder

2016 ◽  
Vol 201 ◽  
pp. 88-94 ◽  
Author(s):  
Behdin Nowrouzi ◽  
Roger S. McIntyre ◽  
Glenda MacQueen ◽  
Sidney H. Kennedy ◽  
James L. Kennedy ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Age At Onset ◽  
First Episode ◽  
Admixture Analysis

Admixture analysis of age at onset in bipolar disorder

2011 ◽  
Vol 185 (1-2) ◽  
pp. 27-32 ◽  
Author(s):  
Federica Tozzi ◽  
Mirko Manchia ◽  
Nicholas W. Galwey ◽  
Giovanni Severino ◽  
Maria Del Zompo ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Age At Onset ◽  
Admixture Analysis

Early Detection of Bipolar Disorder Four Years Before Onset in a 22-Year Population-Based Birth Cohort Using Advanced Machine Learning Techniques

2020 ◽  
Author(s):  
Francisco Diego Rabelo-da-Ponte ◽  
Jacson Gabriel Feiten ◽  
Benson Mwangi ◽  
Fernando C. Barros ◽  
Fernando C. Wehrmeister ◽  
...  
Keyword(s):  
Machine Learning ◽  
Bipolar Disorder ◽  
Early Detection ◽  
Birth Cohort ◽  
Population Based ◽  
Machine Learning Techniques ◽  
Learning Techniques

scholarly journals Genome-wide association analysis of age at onset and psychotic symptoms in bipolar disorder

2011 ◽  
Vol 156 (3) ◽  
pp. 370-378 ◽  
Author(s):  
Pamela Belmonte Mahon ◽  
Mehdi Pirooznia ◽  
Fernando S. Goes ◽  
Fayaz Seifuddin ◽  
Jo Steele ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Association Analysis ◽  
Age At Onset ◽  
Genome Wide Association ◽  
Psychotic Symptoms ◽  
Genome Wide Association Analysis ◽  
Genome Wide

Phenomenology associated with age at onset in patients with bipolar disorder at their first psychiatric hospitalization

2006 ◽  
Vol 8 (1) ◽  
pp. 91-94 ◽  
Author(s):  
Nick C Patel ◽  
Melissa P DelBello ◽  
Paul E Keck ◽  
Stephen M Strakowski
Keyword(s):  
Bipolar Disorder ◽  
Psychiatric Hospitalization ◽  
Age At Onset

scholarly journals Birth cohort effects on the quantity and heritability of alcohol consumption in adulthood: a Finnish longitudinal twin study

Addiction ◽  
2019 ◽  
Vol 114 (5) ◽  
pp. 836-846 ◽  
Author(s):  
Suvi Virtanen ◽  
Jaakko Kaprio ◽  
Richard Viken ◽  
Richard J. Rose ◽  
Antti Latvala
Keyword(s):  
Alcohol Consumption ◽  
Birth Cohort ◽  
Twin Study ◽  
Cohort Effects ◽  
Longitudinal Twin Study

scholarly journals Age at onset, course of illness and response to psychotherapy in bipolar disorder: results from the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD)

2014 ◽  
Vol 44 (16) ◽  
pp. 3455-3467 ◽  
Author(s):  
A. Peters ◽  
L. G. Sylvia ◽  
P. V. da Silva Magalhães ◽  
D. J. Miklowitz ◽  
E. Frank ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Collaborative Care ◽  
Bipolar Depression ◽  
Age At Onset ◽  
Number Needed To Treat ◽  
Systematic Treatment ◽  
Illness Duration ◽  
Bipolar Patients ◽  
Depressive Episodes ◽  
Intensive Psychotherapy

Background.The course of bipolar disorder progressively worsens in some patients. Although responses to pharmacotherapy appear to diminish with greater chronicity, less is known about whether patients' prior courses of illness are related to responses to psychotherapy.Method.Embedded in the Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) was a randomized controlled trial of psychotherapy for bipolar depression comparing the efficacy of intensive psychotherapy with collaborative care (a three-session psycho-educational intervention). We assessed whether the number of previous mood episodes, age of illness onset, and illness duration predicted or moderated the likelihood of recovery and time until recovery from a depressive episode in patients in the two treatments.Results.Independently of treatment condition, participants with one to nine prior depressive episodes were more likely to recover and had faster time to recovery than those with 20 or more prior depressive episodes. Participants with fewer than 20 prior manic episodes had faster time to recovery than those with 20 or more episodes. Longer illness duration predicted a longer time to recovery. Participants were more likely to recover in intensive psychotherapy than collaborative care if they had 10–20 prior episodes of depression [number needed to treat (NNT) = 2.0], but equally likely to respond to psychotherapy and collaborative care if they had one to nine (NNT = 32.0) or >20 (NNT = 9.0) depressive episodes.Conclusions.Number of previous mood episodes and illness duration are associated with the likelihood and speed of recovery among bipolar patients receiving psychosocial treatments for depression.

Quality of life in bipolar disorders compared to schizophrenia

2011 ◽  
Vol 26 (S2) ◽  
pp. 231-231
Author(s):  
L. Zouari ◽  
I. Abida ◽  
M. Walha ◽  
J. Masmoudi ◽  
J. Ben Thabet ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Short Form ◽  
Age At Onset ◽  
Bipolar Disorders ◽  
Subscale Score ◽  
Sf 36 ◽  
Schizophrenic Patients ◽  
Bipolar Patients

IntroductionThe classic opinion of a favorable prognosis of bipolar disorders, compared to schizophrenia, is refuted by modern conceptions.ObjectivesThe aim of this study was to assess the quality of life (QOL) in bipolar patients compared to schizophrenic patients’, and to identify clinical and sociodemographic variables statistically associated to a poor QOL in bipolar disorder patients.MethodsOne hundred and twenty outpatients, 50 with bipolar disorder and 70 with schizophrenia, according to DSM-IV-TR criteria, were included in the study. The QOL has been assessed, in all patients, using the «36 item Short-Form Health Survey» (SF-36).ResultsThirty-six percent of the bipolar patients had a poor QOL, versus 37% among the schizophrenic patients. The bipolar patients had the score of the standardized vitality subscale significantly lower than schizophrenic patients’ (p = 0.036); the latter had the standardized general health subscale score significantly lower (p = 0.03). There were no other statistically significant differences. The multivariate analyses showed three variables significantly correlated to a poor QOL in bipolar patients: age at the time of the study ≥ 40 years (p = 0.01), professional irregularity or inactivity (p = 0.005), age at onset ≥ 25 years (p = 0.004).ConclusionOur survey of the QOL in bipolar patients showed that it did not differ globally from the schizophrenic patients’, with the SF-36 scale. Results reported in the literature are not in agreement. Further longitudinal studies on several months, with other assessments, would permit to verify the validity of our results.

Early and Late Onset Bipolar Disorders in Older Adults

2017 ◽  
Vol 41 (S1) ◽  
pp. S211-S211
Author(s):  
N. Smaoui ◽  
L. Zouari ◽  
N. Charfi ◽  
M. Maâlej-Bouali ◽  
N. Zouari ◽  
...  
Keyword(s):  
Older Adults ◽  
Bipolar Disorder ◽  
Early Onset ◽  
Age Of Onset ◽  
Late Onset ◽  
Age At Onset ◽  
Bipolar Disorders ◽  
Medical Diagnoses ◽  
The Mean ◽  
Bipolar Patients

IntroductionAge of onset of illness may be useful in explaining the heterogeneity among older bipolar patients.ObjectiveTo examine the relationship of age of onset with clinical, demographic and behavioral variables, in older patients with bipolar disorder.MethodsThis was a cross-sectional, descriptive and analytical study, including 24 patients suffering from bipolar disorders, aged 65 years or more and followed-up in outpatient psychiatry unit at Hedi Chaker university hospital in Sfax in Tunisia. We used a standardized questionnaire including socio-demographic, behavioral and clinical data. Age of onset was split at age 40 years into early-onset (< 40 years; n = 12) and late-onset (≥ 40 years; n = 12) groups.ResultsThe mean age for the entire sample was 68.95 years. The mean age of onset was 39.95 years. The majority (60%) of patients were diagnosed with bipolar I. Few meaningful differences emerged between early-onset and late-onset groups, except that tobacco use was significantly higher in the late-onset group (66.6% vs. 16.6%; P = 0.027). No significant differences between the early-onset and late-onset groups were seen on demographic variables, family history and number of medical diagnoses or presence of psychotic features.ConclusionOur study found few meaningful behavioral differences between early versus late age at onset in older adults with bipolar disorder.Disclosure of interestThe authors have not supplied their declaration of competing interest.

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