Trends in the use of psychotropic medications among adolescents, 1994 to 2001

Objectives: Few psychotropic medications are approved for use among children younger than 18 years. Yet previous studies have shown an increase in the use of psychotropic medications among school-age children and adolescents. Most previous studies examined data only up to 1997; therefore, the results predate any impact of changing federal policies and newly marketed medications. This study examined trends in the prescription of psychotropic medications to adolescents aged 14 to 18 years in office-based care in the United States from 1994 to 2001. Methods: Data from the National Ambulatory Medical Care Survey (NAMCS) were used to determine visit rates and prescribing patterns from 1994 to 2001 for psychotropics that were prescribed in office-based treatment settings to adolescents aged 14 to 18 years. Rates of visits that resulted in a prescription for psychotropic medication were calculated for two-year periods. Analyses were conducted by type of medication, gender, and the prescribing physician's specialty. Results: Rates of visits that resulted in a psychotropic prescription increased from 3.4 percent in 1994-1995 to 8.3 percent in 2000-2001. These trends were evident for males and females. The average annual growth rates for psychotropic prescriptions were much higher after 1999. Trends were also significant across drug classes. By 2001, one out of ten office visits by adolescent males resulted in a prescription for a psychotropic medication. Conclusions: Average annual growth rates for the prescription of psychotropics to adolescents increased from 1994 to 2001, with especially rapid acceleration after 1999. This increase may be associated with changing thresholds of diagnosis and treatment, availability of new medications, and changes in federal regulatory policies concerning promotion of medications by the pharmaceutical industry.

A review of glaucoma treatment in Scotland 1994-2004

Objective: This study evaluated the changing trends in glaucoma management in Scotland between 1994 and 2004. Methods: A retrospective analysis of national health statistics in Scotland from 1994 to 2004. The Scottish morbidity record was used to collect information on all episodes of trabeculectomy. Data on number of prescriptions were gathered for individual drugs and also for groups of active ingredient. The population likely to have glaucoma (PLG) was calculated from estimates of prevalence in individuals aged 40 years and older, based on published epidemiological studies. The outcome measures were trabeculectomy rates, corrected for population likely to be at risk of glaucoma (PLG), and prescribing volume and cost for glaucoma medications. Results: Trabeculectomy rates have fallen by 67% from 46 per 1000 PLG in 1994 to 15.4 per 1000 PLG in 2004. Over the same time period, the population likely to be at risk of glaucoma (PLG) increased by 16.6%. The cost of prescribing has increased by 122% over 11 years compared with an increase in number of items per 1000 PLG by 27.5%. In 1994, ß-blockers accounted for 65.2% of prescribed drugs but by 2004 this had dropped to 33%. Since their introduction, the prescribing of prostaglandin analogues has increased rapidly and in 2004, they accounted for 39.4% of prescribed drugs. Conclusion: The increasing useof prostaglandin analogues has led to an increase in prescribing rates and a rapid increase in cost. At the same time, prescribing of ß-blockers has declined and trabeculectomy rates have fallen.

Review of Castleden, R. 1994. The making of Stonehenge. London, Routledge

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Provisional Report of the 1994 season of the Gozo Project.

Stoddart, S. and C. Malone, PPrivate Circulation to sponsors. 1994.

Defining the role of common variation in the genomic and biological architecture of adult human height

Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated 1/42,000, 1/43,700 and 1/49,500 SNPs explained 1/421%, 1/424% and 1/429% of phenotypic variance. Furthermore, all common variants together captured 60% of heritability. The 697 variants clustered in 423 loci were enriched for genes, pathways and tissue types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/I 2-catenin and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

New genetic loci link adipose and insulin biology to body fat distribution

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

Genetic studies of body mass index yield new insights for obesity biology

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10(-8)), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ∼2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.