Identification and validation of mixed anxiety-depression. Academic Article uri icon

abstract

  • BACKGROUND: Mixed anxiety-depression (MAD) has been under scrutiny to determine its potential place in psychiatric nosology. The current study sought to investigate its prevalence, clinical characteristics, course and potential validators. METHOD: Restricted latent-class analyses were fit to 12-month self-reports of depression and anxiety symptom criteria in a large population-based sample of twins. Classes were examined across an array of relevant indicators (demographics, co-morbidity, adverse life events, clinical significance and twin concordance). Longitudinal analyses investigated the stability of, and transitions between, these classes for two time periods approximately 1.5 years apart. RESULTS: In all analyses, a class exhibiting levels of MAD symptomatology distinctly above the unaffected subjects yet having low prevalence of either major depression (MD) or generalized anxiety disorder (GAD) was identified. A restricted four-class model, constraining two classes to have no prior disorder history to distinguish residual or recurrent symptoms from new onsets in the last year, provided an interpretable classification: two groups with no prior history that were unaffected or had MAD and two with prior history having relatively low or high symptom levels. Prevalence of MAD was substantial (9-11%), and subjects with MAD differed quantitatively but not qualitatively from those with lifetime MD or GAD across the clinical validators examined. CONCLUSIONS: Our findings suggest that MAD is a commonly occurring, identifiable syndromal subtype that warrants further study and consideration for inclusion in future nosologic systems.

published proceedings

  • Psychol Med

altmetric score

  • 3.1

author list (cited authors)

  • Hettema, J. M., Aggen, S. H., Kubarych, T. S., Neale, M. C., & Kendler, K. S.

citation count

  • 19

complete list of authors

  • Hettema, JM||Aggen, SH||Kubarych, TS||Neale, MC||Kendler, KS

publication date

  • October 2015