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

Golmard, JL; Scott, Jan; Étain, Bruno; Preisig, Martin; Aubry, Jean‐Michel; Henry, Chantal; Jamain, Stéphane; Jm, Azorin; Leboyer, Marion; Bellivier, Frank

doi:10.1111/acps.12478

Cited by 12 publications

(30 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The bimodal AAO distribution found in both BD diagnostic subgroups and in the whole sample of 515 patients is consistent with some studies (Ortiz et al 2011;Kennedy et al 2005;Javaid et al 2011). Conversely, the majority of studies on mixture analysis of AAO showed a trimodal distribution in samples comprising mainly BD1 patients (Bellivier et al 2001(Bellivier et al , 2003Lin et al 2006;Severino et al 2009;Hamshere et al 2009;Tozzi et al 2011;Bellivier et al 2014;Golmard et al 2015). Of note, a recent study showed that bimodal and trimodal distribution fit equally well the AAO of BD (GrigoroiuSerbanescu et al 2014).…”

Section: Discussionsupporting

confidence: 82%

“…Finally, birth cohort effect might also influence the estimation of AAO subgroups parameters. In this regard, Golmard et al (2015) found that the proportion of EO cases increased substantially among BD cases born after 1960 compared to those born before the same year. Several other findings deserve a comment.…”

Section: Discussionmentioning

confidence: 91%

“…percentages of patients attributed to the early onset subgroup varied between 21.4% (Bellivier et al 2001) and 79.7% (Lin et al 2006)]. Discrepancies in the identified AAO distributions, cut-off points, and proportions of patients in each AAO subgroups may depend on diverse assessment methods, recall bias, study design (Montlahuc et al 2016), and differences in characteristics of samples studied, including geographic location (Post et al 2008;Bellivier et al 2014) and birth cohort (Bauer et al 2015;Golmard et al 2015). Concerning study design, Montlahuc et al (2016) tested whether cross-sectional designs (which cause right truncation), unreliable diagnosis for individuals younger than 10 years old (which causes left truncation), and the selection criterion used for admixture analysis impacted the number of identified AAO subgroups.…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups

Manchia¹,

Maina²,

Carpiniello³

et al. 2016

European Neuropsychopharmacology

View full text Add to dashboard Cite

Background: Admixture analysis of age at onset (AAO) has helped delineating the clinical profile of early onset (EO) bipolar disorder (BD). However, there is scarce evidence comparing the distributional properties of AAO as well as the clinical features of EO BD type 1 (BD1) with EO BD type 2 (BD2). To this end, we studied 515 BD patients (224 BD1, 279 BD2, and 12 BD not otherwise specified [NOS]) diagnosed according to DSM-IV-TR criteria.Methods: AAO was defined as the first reliably diagnosed hypo/manic or depressive episode according to diagnostic criteria. We used normal distribution mixture analysis to identify subgroups of patients according to AAO. Models were chosen according to the Schwarz's Bayesian information criteria (BIC). Clinical correlates of EO were analysed using univariate tests and multivariate logistic regression models. Results:A two normal components model best fitted the observed distribution of AAO in BD1 (BIC = −1599.3), BD2 (BIC = −2158.4), and in the whole sample (BIC = −3854.9). A higher number of EO BD2 patients had a depression-(hypo)mania-free interval (DMI) course, while a higher rate of (hypo)mania-depression-free interval (MDI) course was found in EO BD1. EO BD2 had also a higher rate of comorbidity with alcohol dependence compared to EO BD1. The latter finding was confirmed by multivariate logistic regression analysis. Conclusions:In conclusion, both BD1 and BD2 had bimodal AAO distributions, but EO subgroups had a diagnosticspecific clinical delineation.

show abstract

Section: Discussionsupporting

confidence: 82%

Section: Discussionmentioning

confidence: 91%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups

Manchia¹,

Maina²,

Carpiniello³

et al. 2016

European Neuropsychopharmacology

View full text Add to dashboard Cite

show abstract

“…There are many studies that have adopted the admixture approach (Bellivier et al, 2003(Bellivier et al, , 2011Hamshere et al, 2009;Azorin et al, 2013;Manchia et al, 2008;Tozzi et al, 2011;Lin et al, 2006;Severino et al, 2009;Manchia et al, 2010;Grigoroiu-Serbanescu et al, 2014;Javaid et al, 2011;Golmard et al, 2015) in order to demonstrate that the theoretical model best fitting the observed distribution of AAO in bipolar disorder is consistent with the existence of three AAO subgroups. However, most of these studies have assessed chronic bipolar patients.…”

Section: Introductionmentioning

confidence: 99%

“…However, most of these studies have assessed chronic bipolar patients. On the other hand, there is a recent report (Golmard et al, 2015) that specifically analyzed bipolar subjects with onset before 30 and controlled for the age at assessment. Also, Ortiz et al (2011), within the main analysis, performed a subanalysis in bipolar subjects considering only patients with mania or depression as their first episode.…”

Section: Introductionmentioning

confidence: 99%

Admixture analysis of age at onset in first episode bipolar disorder

Nowrouzi

McIntyre

MacQueen

et al. 2016

Journal of Affective Disorders

View full text Add to dashboard Cite

Clinical correlates of late‐onset versus early‐onset bipolar disorder in a global sample of older adults

Lavin

Buck

Almeida

et al. 2022

Int J Geriat Psychiatry

View full text Add to dashboard Cite

Objectives Late‐onset bipolar disorder (LOBD) represents a significant subgroup of bipolar disorder (BD). However, knowledge for this group is mostly extrapolated from small studies in subjects with early/mixed age of illness onset. In this global sample of older adults with BD (OABD: ≥50 years old) we aim to characterize the sociodemographic and clinical presentation of LOBD (≥40 years at BD onset) compared to early‐onset BD (EOBD: <40 years at BD onset). Methods The Global Aging and Geriatric Experiments in Bipolar Disorder consortium provided international data on 437 older age bipolar disorder participants. We compared LOBD versus EOBD on depression, mania, functionality, and physical comorbidities. Exploratory analyses were performed on participants with BD onset ≥50 years old. Results LOBD (n = 105) did not differ from EOBD (n = 332) on depression, mania, global functioning, nor employment status (p > 0.05). Late‐onset bipolar disorder was associated with higher endocrine comorbidities (odds ratio = 1.48, [95%CI = 1.0,12.1], p = 0.03). This difference did not remain significant when subjects with BD onset ≥50 years old were analyzed. Limitations This study is limited by the retrospective nature of the variable age of onset and the differences in evaluation methods across studies (partially overcame by harmonization processes). Conclusion The present analysis is in favor of the hypothesis that LOBD might represent a similar clinical phenotype as classic EOBD with respect to core BD symptomatology, functionality, and comorbid physical conditions. Large‐scale global collaboration to improve our understanding of BD across the lifespan is needed.

show abstract

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

Abstract: The decrease in AAO of BP-I in recent birth-cohorts appears to be associated with an increase in the proportion of cases in the early onset subgroup; not with a decrease in the mean AAO in each putative subgroup. This could indicate temporal changes in exposure to risk factors for mania.

Cited by 12 publications

References 33 publications

Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups

Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups

Admixture analysis of age at onset in first episode bipolar disorder

Clinical correlates of late‐onset versus early‐onset bipolar disorder in a global sample of older adults

Contact Info

Product

Resources

About