'Chocolate makes you autism': impairment, disability and childhood identities

This paper discusses perceptions and experiences of impairment and disability from the perspectives of learning disabled children, their parents and their social workers. The author reports on findings from her doctoral study that adults often fail to take into account the views and experiences of learning disabled chidren. As a result, these children developed their own interpretations of impairment and disability based on their experiences and interactions with others. Whilst this indicates that they are active social interpreters, it also suggests that adults should make greater efforts to inform and consult learning disabled children. The author concludes by reflecting on the relevance of these findings to contemporary theories of disability and childhood.

Substance Use Behaviours of Young People with A Moderate Learning Disability: A longitudinal analysis

Substance use behaviours of young people attending a special school are reported over a four year period from the age of 12-16 years. The paper investigated these behaviours by surveying a cohort of young people with a statement for moderate learning disabilities annually during the last four years of compulsory schooling. The findings show that these young people consistently reported lower levels of tobacco, alcohol and cannabis use compared with those attending mainstream school. No other illicit drug use was reported. The potential implications of these findings are discussed in relation to the context and timing of targeted substance education and prevention initiatives for young people with moderate learning disability attending a special school.

Demographics and landscape features determine intrariver population structure in Atlantic salmon (Salmo salar L.): the case of the River Moy in Ireland

Contemporary genetic structure of Atlantic salmon (Salmo salar L.) in the River Moy in Ireland is shown here to be strongly related to landscape features and population demographics, with populations being defined largely by their degree of physical isolation and their size. Samples of juvenile salmon were collected from the 17 major spawning areas on the river Moy and from one spawning area in each of five smaller nearby rivers. No temporal allele frequency differences were observed within locations for 12 microsatellite loci, whereas nearly all spatial samples differed significantly, suggesting that each was a separate population. Bayesian clustering and landscape genetic analyses suggest that these populations can be combined hierarchically into five genetically informative larger groupings. Lakes were found to be the single most important determinant of the observed population structure. Spawning area size was also an important factor. The salmon population of the closest nearby river resembled genetically the largest Moy population grouping. In addition, we showed that anthropogenic influences on spawning habitats, in this case arterial drainage, can affect relationships between populations. Our results show that Atlantic salmon biodiversity can be largely defined by geography, and thus, knowledge of landscape features (for example, as characterized within Geographical Information Systems) has the potential to predict population structure in other rivers without an intensive genetic survey, or at least to help direct sampling. This approach of combining genetics and geography, for sampling and in subsequent statistical analyses, has wider application to the investigation of population structure in other freshwater/anadromous fish species and possibly in marine fish and other organisms.