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Research Review: Epidemiological modelling of attention‐deficit/hyperactivity disorder and conduct disorder for the Global Burden of Disease Study 2010
Abstract
Background: The most recent Global Burden of Disease Study ( GBD 2010) is the first to include attention‐deficit/hyperactivity disorder ( ADHD ) and conduct disorder ( CD ) for burden quantification. We present the epidemiological profiles of ADHD and CD across three time periods for 21 world regions. Methods: A systematic review of global epidemiology was conducted for each disorder (based on a literature search of the Medline, PsycInfo and EMBASE databases). A Bayesian metaregression tool was used to derive prevalence estimates by age and sex in three time periods (1990, 2005 and 2010) for 21 world regions including those with little or no data. Prior expert knowledge and covariates were applied to each model to adjust suboptimal data. Final prevalence output for ADHD were adjusted to reflect an equivalent value if studies had measured point prevalence using multiple informants while final prevalence output for CD were adjusted to reflect a value equivalent to CD only. Results: Prevalence was pooled for males and females aged 5–19 years with no difference found in global prevalence between the three time periods. Male prevalence of ADHD in 2010 was 2.2% (2.0–2.3) while female prevalence was 0.7% (0.6–0.7). Male prevalence of CD in 2010 was 3.6% (3.3–4.0) while female prevalence was 1.5% (1.4–1.7). ADHD and CD were estimated to be present worldwide with ADHD prevalence showing some regional variation while CD prevalence remained relatively consistent worldwide. Conclusions: We present the first prevalence estimates of both ADHD and CD globally and for all world regions. Data were sparse with large parts of the world having no estimates of either disorder. Epidemiological studies are urgently needed in certain parts of the world. Our findings directly informed burden quantification for GBD 2010. As mental disorders gained increased recognition after the first GBD study in 1990, the inclusion of ADHD and CD in GBD 2010 ensures their importance will be recognized alongside other childhood disorders.
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Cites
Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision (DSM-IV-TR)
American Psychiatric Association (2000) · doi:10.1176/appi.books.9780890423349 · Cited by 11,069
Murray, C. J. L., Vos, T., Lozano, R., Naghavi, M., Flaxman, A. D., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61689-4 · Cited by 8,888
Self-citationVos, T., Flaxman, A. D., Naghavi, M., Lozano, R., Michaud, C., Ezzati, M., Shibuya, K., Salomon, J. A., Abdalla, S., Aboyans, V., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61729-2 · Cited by 8,291
Self-citationFARAONE, S. V., BIEDERMAN, J., & MICK, E. (2006) · Psychological Medicine · doi:10.1017/s003329170500471x · Cited by 2,267
Salomon, J. A., Vos, T., Hogan, D. R., Gagnon, M., Naghavi, M., Mokdad, A., Begum, N., Shah, R., Karyana, M., Kosen, S., et al. (2012) · The Lancet · doi:10.1016/s0140-6736(12)61680-8 · Cited by 1,322
Self-citationMoffitt, T. E., Caspi, A., Taylor, A., Kokaua, J., Milne, B. J., Polanczyk, G., & Poulton, R. (2010) · Psychological Medicine · doi:10.1017/s0033291709991036 · Cited by 938
Self-citationClinical and Functional Outcome of Childhood Attention-Deficit/Hyperactivity Disorder 33 Years Later
Klein, R. G., Mannuzza, S., Olazagasti, M. A. R., Roizen, E., Hutchison, J. A., Lashua, E. C., & Castellanos, F. X. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2012.271 · Cited by 619
Recall of Psychiatric History in Cross-sectional Surveys: Implications for Epidemiologic Research
Simon, G. E., & VonKorff, M. (1995) · Epidemiologic Reviews · doi:10.1093/oxfordjournals.epirev.a036180 · Cited by 269
Research works printed but not linked: 30
- 10.1007/s00127-007-0293-x · DOI
- 10.1007/s00127-010-0242-y · DOI · Paper page
- 10.1097/01.CHI.0000070245.24125.B6 · DOI · Paper page
- 10.1371/journal.pone.0047404 · DOI
- Faraone S.V., 2003, The worldwide prevalence of ADHD: Is it an American condition?, World Psychiatry, 2, 104
- Flaxman A.D., 2013, An integrative metaregression framework for descriptive epidemiology
- 10.1007/s00787-008-0677-9 · DOI
- Hebrani P., 2007, The prevalence of attention deficit hyperactivity disorder in preschool‐age children in Mashhad, north‐East of Iran, Archives of Iranian Medicine, 10, 147
- 10.1111/j.1600-0447.1993.tb03367.x · DOI
- Kessler R.C., 2008, The WHO World Mental Health Surveys: Global perspectives on the epidemiology of mental disorders
- 10.1176/ajp.157.1.96 · DOI · Paper page
- 10.1093/schbul/sbp004 · DOI
- 10.1002/ajmg.b.30764 · DOI
- 10.1111/j.1469-7610.2007.01823.x · DOI · Paper page
- Murray C.J.L., 1996, The Global Burden of Disease: A comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020
- 10.1176/ajp.155.7.862 · DOI · Paper page
- 10.1176/ajp.2007.164.6.942 · DOI · Paper page
- 10.1037/1040-3590.10.3.250 · DOI
- 10.1016/S0140-6736(07)61238-0 · DOI · Paper page
- 10.1037/a0020798 · DOI · Paper page
- 10.1017/S1121189X00008502 · DOI
- 10.1007/s00431-006-0299-5 · DOI · Paper page
- 10.1001/archgenpsychiatry.2009.21 · DOI · Paper page
- 10.1017/S0033291709991504 · DOI
- United Nations, 2007, World population prospects: The 2006 revision, highlights
- United Nations, 2011, World population prospects—The 2010 revision, 10.18356/7d4bbbc8-en · DOI · Paper page
- 10.1034/j.1600-0447.2000.101001002.x · DOI
- World Health Organisation, 1992, ICD‐10 classification of mental and behavioural disorders: Clinical descriptions and diagnostic guidelines
- World Health Organization, 2008, The Global Burden of Disease: 2004 update
- World Health Organization, 2008, mhGAP: Mental Health Gap Action Programme: Scaling up care for mental, neurological and substance use disorders
Cited by
Vos, T., Barber, R. M., Bell, B., Bertozzi-Villa, A., Biryukov, S., Bolliger, I., Charlson, F., Davis, A., Degenhardt, L., Dicker, D., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60692-4 · Cited by 6,414
Self-citationAttention-deficit/hyperactivity disorder
Faraone, S. V., Asherson, P., Banaschewski, T., Biederman, J., Buitelaar, J. K., Ramos-Quiroga, J. A., Rohde, L. A., Sonuga-Barke, E. J. S., Tannock, R., & Franke, B. (2015) · Nature Reviews Disease Primers · doi:10.1038/nrdp.2015.20 · Cited by 1,479
ADHD in Children and Young People: Prevalence, Care Pathways, and Service Provision
Sayal, K., Prasad, V., Daley, D., Ford, T., & Coghill, D. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(17)30167-0 · Cited by 1,223
Whiteford, H. A., Ferrari, A. J., Degenhardt, L., Feigin, V., & Vos, T. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116820 · Cited by 1,175
Self-citationSex differences and stress across the lifespan
Bale, T. L., & Epperson, C. N. (2015) · Nature Neuroscience · doi:10.1038/nn.4112 · Cited by 751
Erskine, H. E., Moffitt, T. E., Copeland, W. E., Costello, E. J., Ferrari, A. J., Patton, G., Degenhardt, L., Vos, T., Whiteford, H. A., & Scott, J. G. (2015) · Psychological Medicine · doi:10.1017/s0033291714002888 · Cited by 688
Self-citationLive fast, die young? A review on the developmental trajectories of ADHD across the lifespan
Franke, B., Michelini, G., Asherson, P., Banaschewski, T., Bilbow, A., Buitelaar, J. K., Cormand, B., Faraone, S. V., Ginsberg, Y., Haavik, J., et al. (2018) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.08.001 · Cited by 643
“During the past decades, it has been demonstrated that ADHD is common in all countries studied ( Fayyad et al., 2017; Polanczyk et al., 2014 ), and that it seriously affects the productivity, life expectancy, and quality of life throughout the lifespan of patients ( Erskine et al., 2013 ).”
BackgroundErskine, H. E., Norman, R. E., Ferrari, A. J., Chan, G. C. K., Copeland, W. E., Whiteford, H. A., & Scott, J. G. (2016) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2016.06.016 · Cited by 555
Self-citationThe global coverage of prevalence data for mental disorders in children and adolescents
Erskine, H. E., Baxter, A. J., Patton, G., Moffitt, T. E., Patel, V., Whiteford, H. A., & Scott, J. G. (2017) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796015001158 · Cited by 494
Self-citationHawes, D. J., Price, M. J., & Dadds, M. R. (2014) · Clinical Child and Family Psychology Review · doi:10.1007/s10567-014-0167-1 · Cited by 342
Annual Research Review: Infant development, autism, and ADHD – early pathways to emerging disorders
Johnson, M. H., Gliga, T., Jones, E., & Charman, T. (2015) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12328 · Cited by 257
Cortese, S., Song, M., Farhat, L. C., Yon, D. K., Lee, S. W., Kim, M. S., Park, S., Oh, J. W., Lee, S., Cheon, K.-A., et al. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02228-3 · Cited by 211
Self-citationThe global burden of conduct disorder and attention-deficit/hyperactivity disorder in 2010
Erskine, H. E., Ferrari, A. J., Polanczyk, G. V., Moffitt, T. E., Murray, C. J. L., Vos, T., Whiteford, H. A., & Scott, J. G. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12186 · Cited by 207
Self-citationYou’ve got male: Sex and the microbiota-gut-brain axis across the lifespan
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Prevalence of ADHD and Its Comorbidities in a Population-Based Sample
Mohammadi, M.-R., Zarafshan, H., Khaleghi, A., Ahmadi, N., Hooshyari, Z., Mostafavi, S.-A., Ahmadi, A., Alavi, S.-S., Shakiba, A., & Salmanian, M. (2021) · Journal of Attention Disorders · doi:10.1177/1087054719886372 · Cited by 194
Shared familial transmission of autism spectrum and attention‐deficit/hyperactivity disorders
Musser, E. D., Hawkey, E., Kachan‐Liu, S. S., Lees, P., Roullet, J., Goddard, K., Steiner, R. D., & Nigg, J. T. (2014) · Journal of Child Psychology and Psychiatry · doi:10.1111/jcpp.12201 · Cited by 97
Björkenstam, E., Björkenstam, C., Jablonska, B., & Kosidou, K. (2018) · Psychological Medicine · doi:10.1017/s0033291717001933 · Cited by 73
Prevalence and Correlates of Self-Reported ADD/ADHD in a Large National Sample of Canadian Adults
Hesson, J., & Fowler, K. (2018) · Journal of Attention Disorders · doi:10.1177/1087054715573992 · Cited by 56
Bakker-Huvenaars, M. J., Greven, C. U., Herpers, P., Wiegers, E., Jansen, A., van der Steen, R., van Herwaarden, A. E., Baanders, A. N., Nijhof, K. S., Scheepers, F., et al. (2020) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2018.07.097 · Cited by 51
Song, M., Dieckmann, N. F., & Nigg, J. T. (2019) · Journal of Attention Disorders · doi:10.1177/1087054718799930 · Cited by 29
Metadata
- Authors
- Erskine, H. E., Ferrari, A. J., Nelson, P., Polanczyk, G. V., Flaxman, A. D., Vos, T., Whiteford, H. A., & Scott, J. G.
- Venue
- Journal of Child Psychology and Psychiatry
- Publisher
- Wiley
- Published
- 2013-10-04
- Volume
- 54
- Issue
- 12
- Pages
- 1263-1274
- ISSN
- 0021-9630 (ISSN-L)
- 1469-7610
- OpenAlex
- W2058365290
- Cited by
- 220
- References
- 8
- FWCI
- 11.06
- Type
- journal article
- Language
- en
- Open access
- closed
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