Dissemin is shutting down on January 1st, 2025

Published in

Cambridge University Press, British Journal of Psychiatry, 3(192), p. 171-177, 2008

DOI: 10.1192/bjp.bp.107.036707

Links

Tools

Export citation

Search in Google Scholar

Public health significance of mixed anxiety and depression: beyond current classification.

This paper is available in a repository.
This paper is available in a repository.

Full text: Download

Green circle
Preprint: archiving allowed
Red circle
Postprint: archiving forbidden
Red circle
Published version: archiving forbidden
Data provided by SHERPA/RoMEO

Abstract

BackgroundThe public health significance of mixed anxiety–depressive disorder (MADD) and the distinctiveness of its phenomenology have yet to be established.AimsTo determine the public health significance of MADD, and to compare its phenomenology with ICD-10 anxiety, depressive, and comorbid anxiety and depressive disorders.MethodWeighted analysis of data from the Great Britain National Psychiatric Morbidity survey was conducted with a representative household sample of 8580 persons aged 16–74 years.ResultsThe 1-month prevalence of MADD was 8.8%. A fifth of all days off work in Britain occurred in this group. The symptom profile of MADD was similar to ‘pure’ ICD-10 anxiety and depression, but with a lower overall symptom count. The disorder was associated with significant impairment of health-related quality of life. Differences in health-related quality of life measures between diagnostic groups were accounted for by overall symptom severity, which remained strongly associated with health-related quality of life measures after adjusting for diagnostic group. The finding that half of the anxiety, depression and MADD cases and a third of the comorbid depression and anxiety cases grouped into a single latent class challenges the notion of these conditions as having distinct phenomenologies. Mixed presentations may be the norm in the population.ConclusionsThe data support the pathological significance of MADD in its negative impact upon population health. Dimensional approaches to classification may provide a more parsimonious description of anxiety and depressive disorders compared with categorical approaches.