1
|
Lavin P, Buck G, Almeida OP, Su CL, Eyler LT, Dols A, Blumberg HP, Forester BP, Forlenza OV, Gildengers A, Mulsant BH, Tsai SY, Vieta E, Schouws S, Briggs FBS, Sutherland A, Sarna K, Yala J, Orhan M, Korten N, Sajatovic M, Rej S. Clinical correlates of late-onset versus early-onset bipolar disorder in a global sample of older adults. Int J Geriatr Psychiatry 2022; 37. [PMID: 36317317 DOI: 10.1002/gps.5833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 10/16/2022] [Indexed: 11/12/2022]
Abstract
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.
Collapse
Affiliation(s)
- Paola Lavin
- GeriPARTy Research Group, Jewish General Hospital, Montreal, Quebec, Canada
- Lady Davis Research Institute, McGill University, Montreal, Quebec, Canada
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Gabriella Buck
- Douglas Mental Health University Institute, Montreal, Quebec, Canada
| | - Osvaldo P Almeida
- Medical School, University of Western Australia, Perth, Western Australia, Australia
| | - Chien-Lin Su
- Department of Epidemiology, Biostatistics, and Occupational Health, McGill University, Montreal, Quebec, Canada
| | - Lisa T Eyler
- Department of Psychiatry, University of California San Diego, San Diego, California, USA
- Desert-Pacific Mental Illness Research Education and Clinical Center, San Diego Healthcare System, San Diego, California, USA
| | - Annemieke Dols
- GGZ InGeest, Amsterdam UMC, VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | | | - Brent P Forester
- McLean Hospital, Belmont, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Orestes V Forlenza
- Laboratory of Neuroscience, Instituto de Psiquiatría, Hospital da Universidad de São Paulo, Sao Paulo, Brazil
| | - Ariel Gildengers
- University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Benoit H Mulsant
- Department of Psychiatry, Center for Addiction & Mental Health, University of Toronto, Toronto, Ontario, Canada
| | - Shang-Ying Tsai
- Department of Psychiatry, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan
| | - Eduard Vieta
- Hospital Clinic, University of Barcelona, IDIBAPS, CIBERSAM, Barcelona, Spain
| | - Sigfried Schouws
- GGZ InGeest, Amsterdam UMC, VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Farren B S Briggs
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, School of Medicine, Cleveland, Ohio, USA
| | - Ashley Sutherland
- Case Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Kaylee Sarna
- Case Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Joy Yala
- Case Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Melis Orhan
- GGZ InGeest, Amsterdam UMC, VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Nicole Korten
- GGZ InGeest, Amsterdam UMC, VU Medical Center, Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Martha Sajatovic
- Case Western Reserve University School of Medicine, University Hospitals Case Medical Center, Cleveland, Ohio, USA
| | - Soham Rej
- GeriPARTy Research Group, Jewish General Hospital, Montreal, Quebec, Canada
- Lady Davis Research Institute, McGill University, Montreal, Quebec, Canada
| |
Collapse
|
2
|
Scott J, Vorspan F, Loftus J, Bellivier F, Etain B. Using density of antecedent events and trajectory path analysis to investigate family-correlated patterns of onset of bipolar I disorder: a comparison of cohorts from Europe and USA. Int J Bipolar Disord 2021; 9:29. [PMID: 34595593 PMCID: PMC8484401 DOI: 10.1186/s40345-021-00234-4] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 08/17/2021] [Indexed: 12/28/2022] Open
Abstract
BACKGROUND Major contributors to the global burden of bipolar disorders (BD) are the early age at onset (AAO) and the co-occurrence of non-mood disorders before and after the onset of BD. Using data from two independent cohorts from Europe and the USA, we investigated whether the trajectories of BD-I onset and patterns of psychiatric comorbidities differed in (a) individuals with or without a family history (FH) of BD, or (b) probands and parents who both had BD-I. METHODS First, we estimated cumulative probabilities and AAO of comorbid mental disorders in familial and non-familial cases of BD-I (Europe, n = 573), and sex-matched proband-parent pairs of BD-I cases (USA, n = 194). Then we used time to onset analyses to compare overall AAO of BD-I and AAO according to onset polarity. Next, we examined associations between AAO and polarity of onset of BD-I according to individual experiences of comorbidities. This included analysis of the density of antecedent events (defined as the number of antecedent comorbidities per year of exposure to mental illness per individual) and time trend analysis of trajectory paths plotted for the subgroups included in each cohort (using R2 goodness of fit analysis). RESULTS Earlier AAO of BD-I was found in FH versus non-FH cases (log rank test = 7.63; p = 0.006) and in probands versus parents with BD-I (log rank test = 15.31; p = 0.001). In the European cohort, AAO of BD-I was significantly associated with factors such as: FH of BD (hazard ratio [HR]: 0.60), earlier AAO of first non-mood disorder (HR: 0.93) and greater number of comorbidities (HR: 0.74). In the USA cohort, probands with BD-I had an earlier AAO for depressive and manic episodes and AAO was also associated with e.g., number of comorbidities (HR: 0.65) and year of birth (HR: 2.44). Trajectory path analysis indicated significant differences in density of antecedents between subgroups within each cohort. However, the time trend R2 analysis was significantly different for the European cohort only. CONCLUSIONS Estimating density of antecedent events and comparing trajectory plots for different BD subgroups are informative adjuncts to established statistical approaches and may offer additional insights that enhance understanding of the evolution of BD-I.
Collapse
Affiliation(s)
- Jan Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK.,Université de Paris, Paris, France
| | - Florence Vorspan
- Université de Paris, Paris, France.,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France.,Inserm UMRS 1144, Université de Paris, Paris, France
| | - Josephine Loftus
- Centre Expert Trouble Bipolaire, Hospital Princesse Grace, Monaco, Monaco
| | - Frank Bellivier
- Université de Paris, Paris, France.,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France.,Inserm UMRS 1144, Université de Paris, Paris, France
| | - Bruno Etain
- Université de Paris, Paris, France. .,AP-HP, Département de Psychiatrie et de Médecine Addictologique, GH Saint-Louis-Lariboisière-Fernand-Widal, DMU Neurosciences Tête et Cou, Paris, France. .,Inserm UMRS 1144, Université de Paris, Paris, France.
| |
Collapse
|
3
|
Wang MQ, Hao Y, Wang RR, Guo H, He J, Wang ZR. Is being born in spring significantly associated with early-onset bipolar affective disorder? A case-control study. Chronobiol Int 2021; 37:1644-1649. [PMID: 33297785 DOI: 10.1080/07420528.2020.1764013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Few studies have investigated relationships between birth season and early-onset bipolar affective disorder (BAD) in young adults. In the current study, birth season was compared in patients with early-onset BAD and in sex-matched and age-matched controls. A total of 957 patients aged <25 years of age from three hospitals in the North China Plain region were enrolled in the study. Sex-matched and age-matched control group data were collected in universities and schools via questionnaires. The R*C chi-square test was used to assess distributional differences in season of birth both in the patient and control group. A binary logistic regression model adjusted for age and sex was used to evaluate associations between season of birth and BAD. Using spring as the reference season, BAD patients showed significantly lower odds ratios of being born in any other season. There were associations between birth season and early-onset BAD, and early-onset BAD patients were more likely to have been born in spring. These data have implications for future disease prevention strategies and future research.
Collapse
Affiliation(s)
- Meng-Qi Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine , Beijing, China
| | - Yu Hao
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine , Beijing, China
| | - Ran-Ran Wang
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine , Beijing, China
| | - Hua Guo
- Department of psychiatry, The Psychiatric Hospital of Zhumadian , Zhumadian City, Henan province, China
| | - Juan He
- School of Traditional Chinese Medicine, Beijing University of Chinese Medicine , Beijing, China
| | - Zhi-Ren Wang
- Psychiatry research center, Beijing Huilongguan Hospital, Peking University Huilongguan Clinical Medical School , Beijing, China
| |
Collapse
|
4
|
Abstract
OBJECTIVE Bipolar disorder (BD) is a chronic mental health disorder with significant morbidity and mortality. Age at onset (AAO) may be a key variable in delineating more homogeneous subgroups of BD patients. However, no known research has systematically assessed how BD age-at-onset subgroups should be defined. METHODS We systematically searched the following databases: Cochrane Central Register of Controlled Trials, PsycINFO, MEDLINE, Embase, CINAHL, Scopus, Proquest Dissertations and Theses, Google Scholar and BIOSIS Previews. Original quantitative English language studies investigating AAO in BD were sought. RESULTS A total of 9454 unique publications were identified. Twenty-one of these were included in data analysis (n = 22981 BD participants). Fourteen of these studies (67%, n = 13626 participants) found a trimodal AAO distribution: early-onset (µ = 17.3, σ = 1.19, 45% of sample), mid-onset (µ = 26.0, σ = 1.72, 35%), and late-onset (µ = 41.9, σ = 6.16, 20%). Five studies (24%, n = 1422 participants) described a bimodal AAO distribution: early-onset (µ = 24.3, σ = 6.57, 66% of sample) and late-onset (µ = 46.3, σ = 14.15, 34%). Two studies investigated cohort effects on BD AAO and found that when the sample was not split by cohort, a trimodal AAO was the winning model, but when separated by cohort a bimodal distribution fit the data better. CONCLUSIONS We propose that the field conceptualises bipolar disorder age-at-onset subgroups as referring broadly to life stages. Demarcating BD AAO groups can inform treatment and provide a framework for future research to continue to investigate potential mechanisms of disease onset.
Collapse
Affiliation(s)
- Sorcha Bolton
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK
| | - Jeremy Warner
- University of Oxford Medical SchoolJohn Radcliffe HospitalOxfordUK
| | - Eli Harriss
- Bodleian Health Care LibrariesUniversity of OxfordOxfordUK
| | - John Geddes
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK,Oxford Health NHS Foundation TrustWarneford HospitalOxfordUK
| | - Kate E. A. Saunders
- Department of PsychiatryUniversity of OxfordWarneford HospitalOxfordUK,Oxford Health NHS Foundation TrustWarneford HospitalOxfordUK
| |
Collapse
|
5
|
Loftus J, Scott J, Vorspan F, Icick R, Henry C, Gard S, Kahn JP, Leboyer M, Bellivier F, Etain B. Psychiatric comorbidities in bipolar disorders: An examination of the prevalence and chronology of onset according to sex and bipolar subtype. J Affect Disord 2020; 267:258-263. [PMID: 32217226 DOI: 10.1016/j.jad.2020.02.035] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2019] [Revised: 02/05/2020] [Accepted: 02/18/2020] [Indexed: 12/20/2022]
Abstract
OBJECTIVES Bipolar Disorder (BD) is frequently comorbid with other psychiatric disorders. However, few studies systematically examine which disorders are more likely to occur pre- or post-BD onset. We examine the prevalence and Age At Onset (AAO) of psychiatric conditions in adults with BD. METHODS A structured clinical interview was used to assess lifetime history and AAO of alcohol and cannabis misuse, suicide attempts, anxiety and eating disorders in a French sample of euthymic patients with BD (n = 739). Regression analyses were used to test for statistically significant associations between rates and AAO of comorbidities in BD groups stratified by sex or subtype. RESULTS Prevalence of alcohol and cannabis misuse was associated with male sex and BD-I subtype; whilst most anxiety and eating disorders were associated with female sex. The AAO of most comorbid conditions preceded that of BD, except for panic disorder, agoraphobia and alcohol misuse. Few variations were observed in AAO of comorbidities according to groups. LIMITATIONS All assessments were retrospective, so estimates of prevalence rates and especially exact AAO of some comorbidities are at risk of recall bias. CONCLUSIONS Sex and BD subtype are associated with different rates of comorbid disorders. However, there were minimal between group differences in median AAO of comorbidities. By describing the chronological sequence of comorbidities in BD we were able to demonstrate that a minority of comorbidities typically occurred post-onset of BD. This is noteworthy as these disorders might be amenable to interventions aimed at early secondary prevention.
Collapse
Affiliation(s)
- J Loftus
- Centre Expert Trouble Bipolaire, Hospital Princesse Grace, Monaco; Fondation Fondamental, Créteil, France
| | - J Scott
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK; Université de Paris, Paris, France
| | - F Vorspan
- Université de Paris, Paris, France; AP-HP, GH Saint-Louis-Lariboisière-Fernand-Widal, Département de Psychiatrie et de Médecine Addictologique, DMU Neurosciences, Paris, France; Inserm UMRS 1144, Paris, France
| | - R Icick
- Université de Paris, Paris, France; AP-HP, GH Saint-Louis-Lariboisière-Fernand-Widal, Département de Psychiatrie et de Médecine Addictologique, DMU Neurosciences, Paris, France; Inserm UMRS 1144, Paris, France
| | - C Henry
- Fondation Fondamental, Créteil, France; Institut Pasteur, Unité Perception et Mémoire, Paris, France; Université Paris-Est-Créteil, Creteil, France; Département Médico-Universitaire Psychiatrie et Addictologie, DMU IMPACT, AP-HP, Hôpitaux Universitaires H. Mondor, Créteil, France
| | - S Gard
- Fondation Fondamental, Créteil, France; Hôpital Charles-Perrens, Centre Expert Trouble Bipolaire, Service de psychiatrie adulte, Pôle 3-4-7, Bordeaux, France
| | - J P Kahn
- Fondation Fondamental, Créteil, France; Université de Lorraine, CHRU de Nancy, Nancy, France and Fondation Santé des Etudiants de France (FSEF), Paris, France
| | - M Leboyer
- Fondation Fondamental, Créteil, France; Université Paris-Est-Créteil, Creteil, France; Département Médico-Universitaire Psychiatrie et Addictologie, DMU IMPACT, AP-HP, Hôpitaux Universitaires H. Mondor, Créteil, France; INSERM U955, Equipe 15 Psychiatrie Translationnelle, Creteil, France
| | - F Bellivier
- Fondation Fondamental, Créteil, France; Université de Paris, Paris, France; AP-HP, GH Saint-Louis-Lariboisière-Fernand-Widal, Département de Psychiatrie et de Médecine Addictologique, DMU Neurosciences, Paris, France; Inserm UMRS 1144, Paris, France
| | - B Etain
- Fondation Fondamental, Créteil, France; Université de Paris, Paris, France; AP-HP, GH Saint-Louis-Lariboisière-Fernand-Widal, Département de Psychiatrie et de Médecine Addictologique, DMU Neurosciences, Paris, France; Inserm UMRS 1144, Paris, France.
| |
Collapse
|
6
|
Scott J, Etain B, Azorin JM, Bellivier F. Secular trends in the age at onset of bipolar I disorder - Support for birth cohort effects from interational, multi-centre clinical observational studies. Eur Psychiatry 2018; 52:61-67. [PMID: 29734127 DOI: 10.1016/j.eurpsy.2018.04.002] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 04/04/2018] [Accepted: 04/05/2018] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To examine any association of birth decade, sex and exposure to alcohol and/or substance use disorders (ASUD) with age at onset (AAO) of bipolar I disorder (BD-I). METHODS Using data from a representative clinical sample of 3896 BD-I cases recruited from 14 European countries, we examined AAO distributions in individuals born in consecutive birth decades. Cumulative probabilities with Mantel-Cox log-rank tests, pairwise comparisons and Odds Ratios (OR) with 95% confidence intervals (95% CI) were employed to analyze AAO according to birth decade, sex, and presence or absence of an ASUD. RESULTS In the total sample, median AAO of BD-I decreased from about 41 years for those born in the 1930s to about 26 years for those born in the 1960s. In a sub-sample of 1247 individuals (selected to minimize confounding), AAO significantly decreased for males and females born in each consecutive decade between 1930 and 50 (OR: 0.65; 95% CI: 0.51, 0.81), and for cases with an ASUD as compared to without (OR: 0.77, 95% CI: 0.69, 0.87). The best fitting regression model identified an independent effect for each birth decade and an interaction between ASUD status and sex, with a consistently earlier AAO in males with an ASUD (OR: 0.79: 95% CI: 0.70, 0.91). CONCLUSIONS In BD-I cases diagnosed according to internationally recognized criteria and recruited to pan-European clinical observational studies, the AAO distributions are compatible with a birth cohort effect. A potentially modifiable risk factor, namely ASUD status, was associated with the observed reduction in AAO, especially in males.
Collapse
Affiliation(s)
- J Scott
- Academic Psychiatry, Institute of Neuroscience, Newcastle University, UK; Université Paris Diderot, Paris, France; Centre for Affective Disorders, Institute of Psychiatry, London, UK.
| | - B Etain
- Université Paris Diderot, Paris, France; Centre for Affective Disorders, Institute of Psychiatry, London, UK; AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Inserm, UMR-S1144, Paris, France; Fondation FondaMental, Créteil, France
| | - J M Azorin
- Fondation FondaMental, Créteil, France; Department of Psychiatry, Sainte Marguerite Hospital, Marseille, France
| | - F Bellivier
- Université Paris Diderot, Paris, France; Centre for Affective Disorders, Institute of Psychiatry, London, UK; AP-HP, GH Saint-Louis - Lariboisière - F. Widal, Département de Psychiatrie et de Médecine Addictologique, Paris, France; Inserm, UMR-S1144, Paris, France; Fondation FondaMental, Créteil, France
| |
Collapse
|
7
|
Manchia M, Maina G, Carpiniello B, Pinna F, Steardo L, D'Ambrosio V, Salvi V, Alda M, Tortorella A, Albert U. Clinical correlates of age at onset distribution in bipolar disorder: a comparison between diagnostic subgroups. Int J Bipolar Disord 2017; 5:28. [PMID: 28480486 PMCID: PMC5563503 DOI: 10.1186/s40345-017-0097-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2017] [Accepted: 04/26/2017] [Indexed: 11/21/2022] Open
Abstract
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 diagnostic-specific clinical delineation.
Collapse
Affiliation(s)
- Mirko Manchia
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy. .,Department of Pharmacology, Dalhousie University, Halifax, NS, Canada.
| | - Giuseppe Maina
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Bernardo Carpiniello
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy
| | - Federica Pinna
- Section of Psychiatry, Department of Medical Science and Public Health, University of Cagliari, Via Liguria, 13, 09127, Cagliari, Italy
| | - Luca Steardo
- Department of Psychiatry, University of Naples SUN, Naples, Italy
| | - Virginia D'Ambrosio
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Virginio Salvi
- Department of Mental Health, "San Luigi-Gonzaga" Hospital, University of Turin, Orbassano, Italy
| | - Martin Alda
- Department of Psychiatry, Dalhousie University, Halifax, NS, Canada
| | | | - Umberto Albert
- Rita Levi Montalcini Department of Neuroscience, Anxiety and Mood Disorders Unit, University of Turin, Turin, Italy
| |
Collapse
|
8
|
Abstract
The age at onset of bipolar disorder ranging from childhood to adolescent to adult has significant implications for frequency, severity and duration of mood episodes, comorbid psychopathology, heritability, response to treatment, and opportunity for early intervention. There is increasing evidence that recognition of prodromal symptoms in at-risk populations and mood type at onset are important variables in understanding the course of this illness in youth. Very early childhood onset of symptoms including anxiety/depression, mood lability, and subthreshold manic symptoms, along with family history of a parent with early onset bipolar disorder, appears to predict the highest risk of early onset disorder with the most severe course.
Collapse
Affiliation(s)
- Gabrielle A Carlson
- Stony Brook University School of Medicine, Putnam Hall-South Campus, Stony Brook, NY, 11794-8790, USA.
| | - Caroly Pataki
- Division of Child and Adolescent Psychiatry, David Geffen School of Medicine at UCLA, 760 Westwood Plaza, Los Angeles, CA, 90024, USA
| |
Collapse
|