ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis

Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concern...

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Vydáno v:	International journal of epidemiology Ročník 43; číslo 2; s. 434
Hlavní autoři:	Polanczyk, Guilherme V, Willcutt, Erik G, Salum, Giovanni A, Kieling, Christian, Rohde, Luis A
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	England 01.04.2014
Témata:	Attention Deficit Disorder with Hyperactivity - epidemiology Epidemiologic Methods Global Health - statistics & numerical data Humans Time Factors ADHD epidemiology prevalence time methodology cross-cultural
ISSN:	1464-3685, 1464-3685
On-line přístup:	Zjistit podrobnosti o přístupu
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Abstract	Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concerns about whether the true prevalence of the disorder has increased over time. We updated the two most comprehensive systematic reviews on ADHD prevalence available in the literature. Meta-regression analyses were conducted to test the effect of year of study in the context of both methodological variables that determined variability in ADHD prevalence (diagnostic criteria, impairment criterion and source of information), and the geographical location of studies. We identified 154 original studies and included 135 in the multivariate analysis. Methodological procedures investigated were significantly associated with heterogeneity of studies. Geographical location and year of study were not associated with variability in ADHD prevalence estimates. Confirming previous findings, variability in ADHD prevalence estimates is mostly explained by methodological characteristics of the studies. In the past three decades, there has been no evidence to suggest an increase in the number of children in the community who meet criteria for ADHD when standardized diagnostic procedures are followed.
AbstractList	Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concerns about whether the true prevalence of the disorder has increased over time.BACKGROUNDPrevious studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concerns about whether the true prevalence of the disorder has increased over time.We updated the two most comprehensive systematic reviews on ADHD prevalence available in the literature. Meta-regression analyses were conducted to test the effect of year of study in the context of both methodological variables that determined variability in ADHD prevalence (diagnostic criteria, impairment criterion and source of information), and the geographical location of studies.METHODSWe updated the two most comprehensive systematic reviews on ADHD prevalence available in the literature. Meta-regression analyses were conducted to test the effect of year of study in the context of both methodological variables that determined variability in ADHD prevalence (diagnostic criteria, impairment criterion and source of information), and the geographical location of studies.We identified 154 original studies and included 135 in the multivariate analysis. Methodological procedures investigated were significantly associated with heterogeneity of studies. Geographical location and year of study were not associated with variability in ADHD prevalence estimates.RESULTSWe identified 154 original studies and included 135 in the multivariate analysis. Methodological procedures investigated were significantly associated with heterogeneity of studies. Geographical location and year of study were not associated with variability in ADHD prevalence estimates.Confirming previous findings, variability in ADHD prevalence estimates is mostly explained by methodological characteristics of the studies. In the past three decades, there has been no evidence to suggest an increase in the number of children in the community who meet criteria for ADHD when standardized diagnostic procedures are followed.CONCLUSIONSConfirming previous findings, variability in ADHD prevalence estimates is mostly explained by methodological characteristics of the studies. In the past three decades, there has been no evidence to suggest an increase in the number of children in the community who meet criteria for ADHD when standardized diagnostic procedures are followed. Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained by methodological procedures. However, increasing rates of ADHD diagnosis and treatment throughout the past few decades have fuelled concerns about whether the true prevalence of the disorder has increased over time. We updated the two most comprehensive systematic reviews on ADHD prevalence available in the literature. Meta-regression analyses were conducted to test the effect of year of study in the context of both methodological variables that determined variability in ADHD prevalence (diagnostic criteria, impairment criterion and source of information), and the geographical location of studies. We identified 154 original studies and included 135 in the multivariate analysis. Methodological procedures investigated were significantly associated with heterogeneity of studies. Geographical location and year of study were not associated with variability in ADHD prevalence estimates. Confirming previous findings, variability in ADHD prevalence estimates is mostly explained by methodological characteristics of the studies. In the past three decades, there has been no evidence to suggest an increase in the number of children in the community who meet criteria for ADHD when standardized diagnostic procedures are followed.
Author	Rohde, Luis A Polanczyk, Guilherme V Willcutt, Erik G Kieling, Christian Salum, Giovanni A
Author_xml	– sequence: 1 givenname: Guilherme V surname: Polanczyk fullname: Polanczyk, Guilherme V organization: Department of Psychiatry, University of São Paulo Medical School, São Paulo, Brazil, Research Support Center on Neurodevelopment and Mental Health, University of São Paulo, São Paulo, Brazil, National Institute of Developmental Psychiatry for Children and Adolescents (INCT-CNPq), São Paulo, Brazil, Department of Psychology and Neuroscience, University of Colorado at Boulder, Boulder, CO, USA and ADHD Outpatient Program at the Child and Adolescent Psychiatric Division, Hospital de Clínicas de Porto Alegre, Federal University of Rio Grande do Sul, Porto Alegre, Brazil – sequence: 2 givenname: Erik G surname: Willcutt fullname: Willcutt, Erik G – sequence: 3 givenname: Giovanni A surname: Salum fullname: Salum, Giovanni A – sequence: 4 givenname: Christian surname: Kieling fullname: Kieling, Christian – sequence: 5 givenname: Luis A surname: Rohde fullname: Rohde, Luis A
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/24464188$$D View this record in MEDLINE/PubMed
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Snippet	Previous studies have identified significant variability in attention-deficit / hyperactivity disorder (ADHD) prevalence estimates worldwide, largely explained...
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SubjectTerms	Attention Deficit Disorder with Hyperactivity - epidemiology Epidemiologic Methods Global Health - statistics & numerical data Humans Time Factors
Title	ADHD prevalence estimates across three decades: an updated systematic review and meta-regression analysis
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