European Journal of Epidemiology

, Volume 20, Issue 1, pp 103–111

Lifetime prevalence estimates of major depression: An indirect estimation method and a quantification of recall bias

Authors

    • Department of Public Health, Erasmus Medical CenterUniversity Hospital Rotterdam
    • Department for Public Health ForecastingNational Institute of Public Health and the Environment
  • Jan Barendregt
    • Department of Public Health, Erasmus Medical CenterUniversity Hospital Rotterdam
  • Theo Vos
    • Department of Human ServicesHealth Surveillance and Evaluation Section
    • School of Population HealthUniversity of Queensland
  • Ron de Graaf
    • Netherlands Institute of Mental Health and Addiction
  • Jan Spijker
    • Netherlands Institute of Mental Health and Addiction
  • Gavin Andrews
    • Clinical Research Unit on Anxiety and DepressionUniversity of New South Wales
Psychiatric Epidemiology

DOI: 10.1007/s10654-004-1009-0

Cite this article as:
Kruijshaar, M., Barendregt, J., Vos, T. et al. Eur J Epidemiol (2005) 20: 103. doi:10.1007/s10654-004-1009-0

Abstract

The measurement of lifetime prevalence of depression in cross-sectional surveys is biased by recall problems. We estimated it indirectly for two countries using modelling, and quantified the underestimation in the empirical estimate for one. A microsimulation model was used to generate population-based epidemiological measures of depression. We fitted the model to 1-and 12-month prevalence data from the Netherlands Mental Health Survey and Incidence Study (NEMESIS) and the Australian Adult Mental Health and Wellbeing Survey. The lowest proportion of cases ever having an episode in their life is 30% of men and 40% of women, for both countries. This corresponds to a lifetime prevalence of 20 and 30%, respectively, in a cross-sectional setting (aged 15–65). The NEMESIS data were 38% lower than these estimates. We conclude that modelling enabled us to estimate lifetime prevalence of depression indirectly. This method is useful in the absence of direct measurement, but also showed that direct estimates are underestimated by recall bias and by the cross-sectional setting.

Keywords

Major Depression Models (theoretical) Prevalence Unipolar Depression

Abbreviations

NEMESIS

The Netherlands Mental Health Survey and Incidence Study

MD

Major Depression

CIDI

The Composite International Diagnostic Interview

DSM

The Diagnostic and

ICD

The International Classification of Diseases

RR

Relative Risk

95% CI

95% Confidence Interval

ECA

Epidemiologic Catchment Area

NCS

National Comorbidity Survey

Copyright information

© Springer 2005