Admixture Analysis of Age at Onset in Bipolar I Affective Disorder

2001 ◽  
Vol 58 (5) ◽  
pp. 510-512 ◽  
Author(s):  
F. Bellivier
Keyword(s):  
Affective Disorder ◽  
Age At Onset ◽  
Admixture Analysis

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

Admixture analysis of age at onset in older patients with schizophrenia spectrum disorders

2020 ◽  
Vol 32 (6) ◽  
pp. 781-785
Author(s):  
Maureen M. J. Smeets-Janssen ◽  
Idan M. Aderka ◽  
Paul D. Meesters ◽  
Sjors Lange ◽  
Sigfried Schouws ◽  
...  
Keyword(s):  
Late Onset ◽  
Age At Onset ◽  
Cross Sectional Study ◽  
Data Driven ◽  
Admixture Analysis ◽  
Schizophrenia Spectrum Disorders ◽  
Sectional Study ◽  
Cross Sectional ◽  
Schizophrenia Spectrum ◽  
Spectrum Disorders

ABSTRACTThe nature of schizophrenia spectrum disorders with an onset in middle or late adulthood remains controversial. The aim of our study was to determine in patients aged 60 and older if clinically relevant subtypes based on age at onset can be distinguished, using admixture analysis, a data-driven technique. We conducted a cross-sectional study in 94 patients aged 60 and older with a diagnosis of schizophrenia or schizoaffective disorder. Admixture analysis was used to determine if the distribution of age at onset in this cohort was consistent with one or more populations of origin and to determine cut-offs for age at onset groups, if more than one population could be identified. Results showed that admixture analysis based on age at onset demonstrated only one normally distributed population. Our results suggest that in older schizophrenia patients, early- and late-onset ages form a continuum.

Admixture analysis of age at onset in obsessive–compulsive disorder

2005 ◽  
Vol 35 (2) ◽  
pp. 237-243 ◽  
Author(s):  
RICHARD DELORME ◽  
JEAN-LOUIS GOLMARD ◽  
NADIA CHABANE ◽  
BRUNO MILLET ◽  
MARIE-ODILE KREBS ◽  
...  
Keyword(s):  
Obsessive Compulsive Disorder ◽  
Late Onset ◽  
Age At Onset ◽  
Admixture Analysis ◽  
Obsessive Compulsive ◽  
General Anxiety Disorder ◽  
General Anxiety ◽  
Compulsive Disorder ◽  
History Of ◽  
Best Fitting

Background. Age at onset (AAO) has been useful to explore the clinical, neurobiological and genetic heterogeneity of obsessive–compulsive disorder (OCD). However, none of the various thresholds of AAO used in previous studies have been validated, and it remains an unproven notion that AAO is a marker for different subtypes of OCD. If AAO is a clinical indicator of different biological subtypes, then subgroups based on distinct AAOs should have separate normal distributions as well as different clinical characteristics.Method. Admixture analysis was used to determine the best-fitting model for the observed AAO of 161 OCD patients.Results. The observed distribution of AAO in OCD is a mixture of two Gaussian distributions with mean ages of 11·1±4·1 and 23·5±11·1 years. The first distribution, defined by early-onset OCD, had increased frequency of Tourette's syndrome and increased family history of OCD. The second distribution, defined by late-onset OCD, showed elevated prevalence of general anxiety disorder and major depressive disorder.Conclusions. These results, based on a statistically validated AAO cut-off and those of previous studies on AAO in OCD, suggest that AAO is a crucial phenotypic characteristic in understanding the genetic basis of this disorder.

P01-200-Validation of the french version of the affective disorder evaluation (ADE)

2011 ◽  
Vol 26 (S2) ◽  
pp. 201-201
Author(s):  
C. Delmas ◽  
V. Bourgeois ◽  
S. Haouzir ◽  
F. Bretel ◽  
D. Campion ◽  
...  
Keyword(s):  
Bipolar Disorder ◽  
Affective Disorder ◽  
Rating Scales ◽  
Age At Onset ◽  
Structured Interview ◽  
Diagnostic Interview ◽  
Panic Attacks ◽  
French Version ◽  
Compulsive Disorder ◽  
Bipolar Patients

ObjectiveDespite the number of rating scales for mood disorder and semi-structured interview in psychiatry, they are few evaluations focused on bipolar disorder. Here, we report the validation of the French version of the ADE used in STEP-BD (Systematic Treatment Enhancement Program for Bipolar Disorder) studies.MethodA total of 63 bipolar patients completed the ADE and French version of the DIGS (Diagnostic Interview for Genetic Studies). We compared the results between the two evaluations.ResultsThere was a very good concordance between the two interview for the diagnosis of the type of bipolar diagnosis (κ = 1) and non-significative difference between the age at onset. The concordance coefficient was weak for addictions: alcohol (κ = 0.22) and cannabis (κ = 0.16), for anxiety disorder: panic attacks (κ = 0.35), phobia (κ = 0.36), obsessive-compulsive disorder (κ = 0) and anorexia (κ = 0.04), but stronger for psychosis: delusion (κ = 0.78), hallucinations (κ = 0.69), suicidal attempts (κ = 0.97), violence (κ = 0.47) and bulimia (κ = 0.47).ConclusionsThe affective disorder evaluation seems to be a useful instrument in clinical practice and in psychopharmacological studies, but not when the diagnosis of comorbities is necessary.

Age at Onset in Bipolar I Affective Disorder: Further Evidence for Three Subgroups

2003 ◽  
Vol 160 (5) ◽  
pp. 999-1001 ◽  
Author(s):  
Frank Bellivier ◽  
Jean-Louis Golmard ◽  
Marcella Rietschel ◽  
Thomas G. Schulze ◽  
Alain Malafosse ◽  
...  
Keyword(s):  
Affective Disorder ◽  
Age At Onset

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

scholarly journals Admixture analysis of age at onset in major depressive disorder

2012 ◽  
Vol 34 (6) ◽  
pp. 686-691 ◽  
Author(s):  
Tina Zhu ◽  
Vincenzo De Luca ◽  
Laura Ashley Gallaugher ◽  
Hanna O. Woldeyohannes ◽  
Joanna K. Soczynska ◽  
...  
Keyword(s):  
Major Depressive Disorder ◽  
Depressive Disorder ◽  
Age At Onset ◽  
Admixture Analysis ◽  
Major Depressive

Ethnicity and Age at Onset in Bipolar Spectrum Disorders

CNS Spectrums ◽  
2011 ◽  
Vol 16 (6) ◽  
pp. 127-134 ◽  
Author(s):  
Naima Javaid ◽  
James L. Kennedy ◽  
Vincenzo De Luca
Keyword(s):  
Substance Abuse ◽  
Clinical Features ◽  
Early Onset ◽  
Late Onset ◽  
Age At Onset ◽  
Admixture Analysis ◽  
Bipolar Spectrum ◽  
Clinical Marker ◽  
Bipolar Spectrum Disorders ◽  
Spectrum Disorders

AbstractIntroductionTo determine the influence of ethnicity on the age at onset (AAO) and further understand the significance of AAO as a clinical marker of bipolar and schizoaffective disorders.MethodsAdmixture analysis was used to identify sub-groups characterized by differences in AAO. Differences in clinical features were analyzed for these sub-groups using multivariate logistic regression. Comparisons were made with previous studies using the 2-Sample Kolmogorov-Smirnov Test.ResultsAdmixture analysis yielded a combination of 2 normal theoretical distributions with means (SD) of 16.9 (3.6) for the early-onset sub-group and 24.4 (9.2) years for the late-onset sub-group. The sub-groups were divided by a cut-off of 22 years. There were significant differences between the early and late onset bipolar patient populations regarding substance abuse comorbidity (P=.044) and psychotic features (P=.015). Ethnicity did not have a significant influence on the AAO.DiscussionThe associations between early-onset and higher incidence of psychosis and substance abuse in our sample are consistent with other studies exploring the AAO in bipolar disorder.ConclusionOur findings support the notion of AAO as a clinical marker for the underlying heterogeneity of bipolar spectrum disorders. In particular, we found a strong overlap of early AAO with clinical features associated with greater severity and poor outcome.

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