Confirmatory test of two factors and four subtypes of bipolar disorder based on lifetime psychiatric co-morbidity

Psychol Med. 2015 Jul;45(10):2181-96. doi: 10.1017/S0033291715000185. Epub 2015 Mar 31.

Abstract

Background: The first aim was to use confirmatory factor analysis (CFA) to test a hypothesis that two factors (internalizing and externalizing) account for lifetime co-morbid DSM-IV diagnoses among adults with bipolar I (BPI) disorder. The second aim was to use confirmatory latent class analysis (CLCA) to test the hypothesis that four clinical subtypes are detectible: pure BPI; BPI plus internalizing disorders only; BPI plus externalizing disorders only; and BPI plus internalizing and externalizing disorders.

Method: A cohort of 699 multiplex BPI families was studied, ascertained and assessed (1998-2003) by the National Institute of Mental Health Genetics Initiative Bipolar Consortium: 1156 with BPI disorder (504 adult probands; 594 first-degree relatives; and 58 more distant relatives) and 563 first-degree relatives without BPI. Best-estimate consensus DSM-IV diagnoses were based on structured interviews, family history and medical records. MPLUS software was used for CFA and CLCA.

Results: The two-factor CFA model fit the data very well, and could not be improved by adding or removing paths. The four-class CLCA model fit better than exploratory LCA models or post-hoc-modified CLCA models. The two factors and four classes were associated with distinctive clinical course and severity variables, adjusted for proband gender. Co-morbidity, especially more than one internalizing and/or externalizing disorder, was associated with a more severe and complicated course of illness. The four classes demonstrated significant familial aggregation, adjusted for gender and age of relatives.

Conclusions: The BPI two-factor and four-cluster hypotheses demonstrated substantial confirmatory support. These models may be useful for subtyping BPI disorders, predicting course of illness and refining the phenotype in genetic studies.

Keywords: Bipolar disorder; co-morbidity; confirmatory factor analysis; confirmatory latent class analysis; subtypes.

Publication types

  • Comparative Study
  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Bipolar Disorder / psychology*
  • Cohort Studies
  • Comorbidity
  • Factor Analysis, Statistical
  • Family / psychology*
  • Female
  • Genetic Predisposition to Disease*
  • Humans
  • Internal-External Control*
  • Male
  • Middle Aged
  • Models, Psychological
  • National Institute of Mental Health (U.S.)
  • United States
  • Young Adult