Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis
Распространённость и корреляты синдрома дефицита внимания с гиперактивностью у взрослых: метаанализ
2009-02-27
SCID: 54.1/ayvxme3z
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DSM-IV diagnostic criteriaadult ADHDmeta-analysismeta-regression analysispooled prevalence
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Abstract (AI)
BACKGROUND: In spite of the growing literature about adult attention-deficit hyperactivity disorder (ADHD), relatively little is known about the prevalence and correlates of this disorder. AIMS: To estimate the prevalence of adult ADHD and to identify its demographic correlates using meta-regression analysis. METHOD: We used the MEDLINE, PsycLit and EMBASE databases as well as hand-searching to find relevant publications. RESULTS: The pooled prevalence of adult ADHD was 2.5% (95% CI 2.1-3.1). Gender and mean age, interacting with each other, were significantly related to prevalence of ADHD. Meta-regression analysis indicated that the proportion of participants with ADHD decreased with age when men and women were equally represented in the sample. CONCLUSIONS: Prevalence of ADHD in adults declines with age in the general population. We think, however, that the unclear validity of DSM-IV diagnostic criteria for this condition can lead to reduced prevalence rates by underestimation of the prevalence of adult ADHD.
Key Findings
1
A meta-analysis estimated the pooled prevalence of adult ADHD at 2.5% (95% CI 2.1–3.1).
2
Adult ADHD prevalence appears to decline with age in the general population.
3
Gender and mean age interacted significantly in explaining differences in adult ADHD prevalence across studies.
4
The authors caution that unclear validity of DSM-IV criteria may underestimate adult ADHD prevalence.
5
When men and women were equally represented, the proportion of participants with ADHD decreased as age increased.
Research Object
adult attention-deficit hyperactivity disorder (ADHD) in the general population
Research Subject
prevalence and demographic correlates of adult ADHD, including age- and gender-related variation
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2009-02-27
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