Lifetime prevalence estimates of major depression: An indirect estimation method and a quantification of recall bias Psychiatric Epidemiology DOI:
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
The Composite International Diagnostic Interview
The Diagnostic and
The International Classification of Diseases
95% Confidence Interval
Epidemiologic Catchment Area
National Comorbidity Survey
References Broadhead, WE, Blazer, DG, George, LK, Tse, CK 1990 Depression, disability days, and days lost from work in a prospective epidemiologic survey. JAMA 264 2524 2528 CrossRef PubMed Google Scholar Bijl, RV, Ravelli, A 2000 Current and residual functional disability associated with psychopathology: findings from the Netherlands Mental Health Survey and Incidence Study (NEMESIS). Psychol Med 30 657 668 CrossRef Google Scholar Kessler, RC, Zhao, S, Blazer, DG, Swartz, M 1997 Prevalence, correlates, and course of minor depression and major depression in the National Comorbidity Survey. J Affect Disord 45 19 30 CrossRef Google Scholar Wells, KB, Stewart, A, Hays, RD, Burnam, MA, Rogers, W, Daniels, M, Berry, S, Greenfield, S, Ware, J 1989 The functioning and well-being of depressed patients. Results from the Medical Outcomes Study. JAMA 262 914 919 Google Scholar Ormel, J, VonKorff, M, Ustun, TB, Pini, A, Korten, A, Oldehinkel, T 1994 Common mental disorders and disability across cultures. Results from the WHO Collaborative Study on Psychological Problems in General Health Care. JAMA 272 1741 1748 Google Scholar Sprangers, MA, de, Regt EB, Andries, F, van, Agt HM, Bijl, RV, de, Boer JB, Foets, M, Hoeymans, N, Jacobs, AE, Kempen, GI, Miedema, HS, Tijhuis, MA, de, Haes HC 2000 Which chronic conditions are associated with better or poorer quality of life? J Clin Epidemiol 53 895 907 CrossRef Google Scholar
Murray CJL, Lopez AD. The global burden of disease: A comprehensive assessment of mortality and disability from diseases, injuries and risk factors in 1990 and projected to 2020. In: Murray CJL, Lopez AD (eds), Global burden of disease and injury series, Vol. 1, chapter 5. Cambridge: Harvard University Press, 1996.
Mathers CD, Stein C, Ma Fat D, Chalapati R, Inoue M, Tomijima N, Bernard C, Lopez AD, Murray CJL. Global Burden of Disease 2000: Version 2 methods and results. World Health Organization. 2002. http://www3.who.int/whosis/discussion_papers/discussion_ papers. cfm?path=whosis,burden_statistics,discussion_ papers&language=english. Accessed in 2003.
Andrews, G, Henderson, S, Hall, W 2001 Prevalence, comorbidity, disability and service utilisation. Overview of the Australian National Mental Health Survey. Br J Psychiatry 178 145 153 Google Scholar Bijl, RV, Ravelli, A, van, Zessen G 1998 Prevalence of psychiatric disorder in the general population: Results of The Netherlands Mental Health Survey and Incidence Study (NEMESIS). Soc Psychiatry Psychiatr Epidemiol 33 587 595 CrossRef PubMed Google Scholar Kessler, RC, McGonagle, KA, Zhao, S, Nelson, CB, Hughes, M, Eshleman, S, Wittchen, HU, Kendler, KS 1994 Lifetime and 12-month prevalence of DSM-III-R psychiatric disorders in the United States. Results from the National Comorbidity Survey. Arch Gen Psychiatry 51 8 19 Google Scholar Offord, DR, Boyle, MH, Campbell, D, Goering, P, Lin, E, Wong, M, Racine, YA 1996 One-year prevalence of psychiatric disorder in Ontarians 15 to 64 years of age. Can J Psychiatry 41 559 563 Google Scholar Regier, DA, Boyd, JH, Burke, Jr., Rae, DS, Myers, JK, Kramer, M, Robins, LN, George, LK, Karno, M, Locke, BZ 1988 One-month prevalence of mental disorders in the United States. Based on five Epidemiologic Catchment Area sites. Arch Gen Psychiatry 45 977 986 Google Scholar Bromet, EJ, Dunn, LO, Connell, MM, Dew, MA, Schulberg, HC 1986 Long-term reliability of diagnosing lifetime major depression in a community sample. Arch Gen Psychiatry 43 435 440 Google Scholar Fendrich, M, Weissman, MM, Warner, V, Mufson, L 1990 Two-year recall of lifetime diagnoses in offspring at high and low risk for major depression. The stability of offspring reports. Arch Gen Psychiatry 47 1121 1127 Google Scholar Prusoff, BA, Merikangas, KR, Weissman, MM 1988 Lifetime prevalence and age of onset of psychiatric disorders: Recall 4 years later. J Psychiatr Res 22 107 117 CrossRef Google Scholar Wade, TD, Bulik, CM, Kendler, KS 2000 Reliability of lifetime history of bulimia nervosa. Comparison with major depression. Br J Psychiatry 177 72 76 Google Scholar Warshaw, MG, Klerman, GL, Lavori, PW 1991 Are secular trends in major depression an artifact of recall? J Psychiatr Res 25 141 151 CrossRef Google Scholar Wittchen, HU, Burke, JD, Semler, G, Pfister, H, Von, Cranach M, Zaudig, M 1989 Recall and dating of psychiatric symptoms. Test-retest reliability of time-related symptom questions in a standardized psychiatric interview. Arch Gen Psychiatry 46 437 443 Google Scholar Angst, J 1992 Epidemiology of depression. Psychopharmacology (Berl) 106 Suppl S71 S74 Google Scholar Andrews, G, Anstey, K, Brodaty, H, Issakidis, C, Luscombe, G 1999 Recall of depressive episode 25 years previously. Psychol Med 29 787 791 CrossRef Google Scholar Bijl, RV, van, Zessen G, Ravelli, A, de, Rijk C, Langendoen, Y 1998 The Netherlands Mental Health Survey and Incidence Study (NEMESIS): Objectives and design. Soc Psychiatry Psychiatr Epidemiol 33 581 586 CrossRef Google Scholar Organization, World Health 1990Composite International Diagnostic Interview (CIDI), version 1.0. World Health Organization Geneva Google Scholar Robins, LN, Wing, J, Wittchen, HU, Helzer, JE, Babor, TF, Burke, J, Farmer, A, Jablenski, A, Pickens, R, Regier, DA, et al. 1988 The Composite International Diagnostic Interview. An epidemiologic Instrument suitable for use in conjunction with different diagnostic systems and in different cultures. Arch Gen Psychiatry 45 1069 1077 Google Scholar Association, American Psychiatric 1987Diagnostic and statistical manual of mental disorders: DSM-III-R. American Psychiatric Association Washington, DC Google Scholar C, Radhakrishna Rao 1973Linear statistical inference and its applications. Wiley New York Google Scholar Habbema, JD, De, Vlas SJ, Plaisier, AP, Van, Oortmarssen GJ 1996 The microsimulation approach to epidemiologic modeling of helminthic infections, with special reference to schistosomiasis. Am J Trop Med Hyg 55 165 169 Google Scholar Ustun, TB, Kessler, RC 2002 Global burden of depressive disorders: The issue of duration. Br J Psychiatry 181 181 183 CrossRef PubMed Google Scholar Press, WH, Teukolsky, SA, Vetterling, WT, Flannery, BP 1995Numerical recipes in C: The art of scientific computation. Cambridge University Press Cambridge Google Scholar Cuijpers, P, Smit, F 2002 Excess mortality in depression: A meta-analysis of community studies. J Affect Disord 72 227 236 CrossRef Google Scholar Kessler, RC 2003 Epidemiology of women and depression. J Affect Disord 74 5 13 CrossRef Google Scholar Kendler, KS, Walters, EE, Kessler, RC 1997 The prediction of length of major depressive episodes: Results from an epidemiological sample of female twins. Psychol Med 27 107 117 CrossRef PubMed Google Scholar Spijker, J, de, Graaf R, Bijl, RV, Beekman, AT, Ormel, J, Nolen, WA 2002 Duration of major depressive episodes in the general population: Results from The Netherlands Mental Health Survey and Incidence Study (NEMESIS). Br J Psychiatry 181 208 213 CrossRef PubMed Google Scholar Lewinsohn, PM, Clarke, GN, Seeley, JR, Rohde, P 1994 Major depression in community adolescents: Age at onset, episode duration, and time to recurrence. J Am Acad Child Adolesc Psychiatry 33 809 818 Google Scholar Simon, GE, VonKorff, M, Ustun, TB, Gater, R, Gureje, O, Sartorius, N 1995 Is the lifetime risk of depression actually increasing? J Clin Epidemiol 48 1109 1118 CrossRef Google Scholar Eaton, WW, Anthony, JC, Gallo, J, Cai, G, Tien, A, Romanoski, A, Lyketsos, C, Chen, LS 1997 Natural history of Diagnostic Interview Schedule/DSM-IV major depression. The Baltimore Epidemiologic Catchment Area follow-up. Arch Gen Psychiatry 54 993 999 Google Scholar Andrews, G 2001 Should depression be managed as a chronic disease? BMJ 322 419 421 CrossRef Google Scholar