Bipolar disorder prevalence: a systematic review and meta-analysis of the literature

Objective:Bipolar disorder (BD) is common in clinical psychiatric practice, and several studies have estimated its prevalence to range from 0.5 to 5% in community-based samples. However, no systematic review and meta-analysis of the prevalence of BD type 1 and type 2 has been published in the literature. We carried out a systematic review and meta-analysis of the lifetime and 1-year prevalence of BD type 1 and type 2 and assessed whether the prevalence of BD changed according to the diagnostic criteria adopted (DSM-III, DSM-III-R vs. DSM-IV).Methods:We searched MEDLINE, Scopus, Web of Science, PsycINFO, and the reference lists of identified studies. The analyses included 25 population- or community-based studies and 276,221 participants.Results:The pooled lifetime prevalence of BD type 1 was 1.06% (95% confidence interval [95%CI] 0.81-1.31) and that of BD type 2 was 1.57% (95%CI 1.15-1.99). The pooled 1-year prevalence was 0.71% (95%CI 0.56-0.86) for BD type 1 and 0.50% (95%CI 0.35-0.64) for BD type 2. Subgroup analysis showed a significantly higher lifetime prevalence of BD type 1 according to the DSM-IV criteria compared to the DSM-III and DSM-IIIR criteria (p < 0.001).Conclusion:This meta-analysis confirms that estimates of BD type 1 and type 2 prevalence are low in the general population. The increase in prevalence from DSM-III and DSM-III-R to DSM-IV may reflect different factors, such as minor changes in diagnostic operationalization, use of different assessment instruments, or even a genuine increase in the prevalence of BD

Nonprescription Drugs Therapy

xviii;ill.;1302hal.;25c

Non Presciption Drug Therapy

xviii;ill.;1298hal.;25c

INVITED PAPER Probing the Uniqueness and Randomness of IrisCodes: Results From 200 Billion

Chances are assessed of making false matches using iris recognition when huge numbers of individuals are enrolled and massive database searches are performed. By John Daugman ABSTRACT | Recent large-scale deployments of iris recognition for border-crossing controls enable critical assessment of the robustness of this technology against making false matches, since vast numbers of cross comparisons become possible within large databases. This paper presents results from the 200 billion iris cross comparisons that could be performed within a database of 632 500 different iris images, spanning 152 nationalities. Each iris pattern was encoded into a phase sequence of 2048 bits using the Daugman algorithms. Empirically analyzing the tail of the resulting distribution of similarity scores enables specification of decision thresholds, and prediction of performance, of the iris recognition algorithms if deployed in identification mode on national scales

Foundry plant and equipment ICC financial survey and directory: turnover, profits, assets, liabilities

SIGLELD:f83/1184 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

Departmental stores ICC financial survey: turnover, profits, assets, liabilities

SIGLELD:f82/2585. / BLDSC - British Library Document Supply CentreGBUnited Kingdo