Literature DB >> 22898442

Admixture analysis of age at onset in major depressive disorder.

Tina Zhu1, Vincenzo De Luca, Laura Ashley Gallaugher, Hanna O Woldeyohannes, Joanna K Soczynska, Sarah Szymkowicz, David J Muzina, Sidney H Kennedy, Roger S McIntyre.   

Abstract

OBJECTIVES: This study aimed to determine the distributions of the age at onset (AAO) in patients with major depressive disorder (MDD) using admixture analysis and to determine the clinical differences between subgroups with different AAO.
METHODS: Participants were administered the Mini-International Neuropsychiatric Interview to obtain clinical data. Admixture analysis was performed using the STATA module DENORMIX to identify subgroups characterized by differences in AAO.
RESULTS: The best fit model was the three-component model with the following means, standard deviations and proportions: 14.60 (3.75) years (49.1%), 29.15 (6.75) years (34.1%) and 46.96 (6.06) years (16.8%) (χ(2)=3.64, 2 df, P=.162). The three subgroups were divided by AAO of 22 and 40. After controlling for duration of illness, there were no significant differences between the three AAO subgroups in terms of gender and psychiatric family history. However, the early-onset subgroup was significantly more likely to report being single compared to the intermediate- and late-onset groups. The proportion of individuals meeting criteria for lifetime comorbid panic disorders and obsessive-compulsive disorder did not differ significantly between the AAO groups. However, the early-onset group reported a higher incidence of attention-deficit/hyperactivity disorder (5.1% vs. 1.7% and 1.2%, P=.086), although this was not statistically significant.
CONCLUSIONS: Our study identified three characteristically different AAO subgroups in individuals suffering from MDD. The subgroups may reflect different underlying neurobiological mechanisms involved.
Copyright © 2012 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 22898442      PMCID: PMC3941474          DOI: 10.1016/j.genhosppsych.2012.06.010

Source DB:  PubMed          Journal:  Gen Hosp Psychiatry        ISSN: 0163-8343            Impact factor:   3.238


  22 in total

1.  Prevalence of depression and its treatment in an elderly population: the Cache County study.

Authors:  D C Steffens; I Skoog; M C Norton; A D Hart; J T Tschanz; B L Plassman; B W Wyse; K A Welsh-Bohmer; J C Breitner
Journal:  Arch Gen Psychiatry       Date:  2000-06

2.  Age at onset in Canadian schizophrenia patients: admixture analysis.

Authors:  Fabio Panariello; Lauren O'Driscoll; Renan P de Souza; Arun Tiwari; Mirko Manchia; James Kennedy; Vincenzo De Luca
Journal:  Schizophr Res       Date:  2009-11-17       Impact factor: 4.939

3.  Factors that differentiate early vs. later onset of major depression disorder.

Authors:  Sidney Zisook; A John Rush; Ari Albala; Jonathan Alpert; G K Balasubramani; Maurizio Fava; Mustafa Husain; Harold Sackeim; Madhukar Trivedi; Stephen Wisniewski
Journal:  Psychiatry Res       Date:  2004-12-15       Impact factor: 3.222

4.  Early and late onset depression in young and middle aged adults: differential symptomatology, characteristics and risk factors?

Authors:  Nicole C M Korten; Hannie C Comijs; Femke Lamers; Brenda W J H Penninx
Journal:  J Affect Disord       Date:  2012-02-26       Impact factor: 4.839

5.  Functional and work disability in major depressive disorder.

Authors:  Heikki J Rytsälä; Tarja K Melartin; Ulla S Leskelä; T Petteri Sokero; Paula S Lestelä-Mielonen; Erkki T Isometsä
Journal:  J Nerv Ment Dis       Date:  2005-03       Impact factor: 2.254

6.  Correlates of cognitive impairment and depressive symptoms among older adults in Korea and Japan.

Authors:  Yunhwan Lee; Shoji Shinkai
Journal:  Int J Geriatr Psychiatry       Date:  2005-06       Impact factor: 3.485

7.  Prevalence of depression in an elderly population in Finland.

Authors:  S L Kivelä; K Pahkala; P Laippala
Journal:  Acta Psychiatr Scand       Date:  1988-10       Impact factor: 6.392

8.  Ethnicity and age at onset in bipolar spectrum disorders.

Authors:  Naima Javaid; James L Kennedy; Vincenzo De Luca
Journal:  CNS Spectr       Date:  2011-06       Impact factor: 3.790

9.  The epidemiology of major depressive disorder: results from the National Comorbidity Survey Replication (NCS-R).

Authors:  Ronald C Kessler; Patricia Berglund; Olga Demler; Robert Jin; Doreen Koretz; Kathleen R Merikangas; A John Rush; Ellen E Walters; Philip S Wang
Journal:  JAMA       Date:  2003-06-18       Impact factor: 56.272

10.  Heterogeneity in comorbidity between major depressive disorder and generalized anxiety disorder and its clinical consequences.

Authors:  George J Unick; Lonnie Snowden; Julia Hastings
Journal:  J Nerv Ment Dis       Date:  2009-04       Impact factor: 2.254

View more
  4 in total

1.  Age-at-onset subsets of bipolar I disorders: A critical insight into admixture analyses.

Authors:  Claire Montlahuc; Emmanuel Curis; Sarah Flora Jonas; Frank Bellivier; Sylvie Chevret
Journal:  Int J Methods Psychiatr Res       Date:  2016-10-21       Impact factor: 4.035

2.  Does age at onset of first major depressive episode indicate the subtype of major depressive disorder?: the clinical research center for depression study.

Authors:  Seon-Cheol Park; Sang-Woo Hahn; Tae-Yeon Hwang; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  Yonsei Med J       Date:  2014-11       Impact factor: 2.759

3.  Does virtual reality increase the efficacy of psychotherapy for young adults with mild-to-moderate depression? A study protocol for a multicenter randomized clinical trial.

Authors:  Adrián Montesano; Joan C Medina; Clara Paz; Helena García-Mieres; Noelia Niño-Robles; Eugeni García-Grau; Josep Cañete Crespillo; Alejandro García-Gutiérrez; Miquel Alabèrnia-Segura; Guillem Feixas
Journal:  Trials       Date:  2021-12-13       Impact factor: 2.279

4.  Potential Relationship between Season of Birth and Clinical Characteristics in Major Depressive Disorder in Koreans: Results from the CRESCEND Study.

Authors:  Seon-Cheol Park; Jeong-Kyu Sakong; Bon Hoon Koo; Jae-Min Kim; Tae-Youn Jun; Min-Soo Lee; Jung-Bum Kim; Hyeon-Woo Yim; Yong Chon Park
Journal:  Yonsei Med J       Date:  2016-05       Impact factor: 2.759

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.