Background Work is an aspiration for many people with intellectual disability and is regarded as a vital goal by policy-makers in pursuit of social inclusion. The aim of this study was to consider the impact of supported employment on the socio-emotional well-being of people with intellectual disabilities. Method A systematic search was conducted. The review included case-controlled and longitudinal studies measuring outcomes for: (1) quality of life (QOL), (2) social life and (3) autonomy.
ResultsWhile results for QOL, well-being and autonomy were largely positive, there was a lack of perceived social acceptance. The findings are interpreted in the light of methodological strengths and weaknesses. Conclusions Implications for the socio-emotional support required by some individuals in employment, and directions for future research are discussed.
Disruptive behaviour disorders (DBDs), including attention-deficit/hyperactivity disorder (ADHD), oppositional defiant disorder (ODD) and conduct disorder (CD) are chronic disorders with significant overlap in aetiology and presentation. An integrative examination of environmental risk factors is lacking. Six literature searches of web-based bibliographic databases were completed to identify literature on DBDs in general and five disorders in particular: CD, ODD, ADHD, deficits of attention, motor control and perception, and reactive attachment disorder. Searches were filtered to focus on studies including diagnostic assessment, focussing on environmental risk and protective factors in the first 4 years of life. The database searches generated 9806 papers of which 47 were reviewed after filters had been applied. The evidence suggests links between a number of early life risk factors and DBDs, including prenatal cigarette smoking and alcohol use, prenatal viral illness, maternal stress and anxiety, low birthweight, peri-partum and early neonatal complications, parental stress and parenting styles in infancy, early deprivation, adoption and separation. Despite the understanding that there is sharing of risk factors between the DBDs, there has been a disproportionate focus on the role of certain risk factors at the expense of others and the field is weakened by difficulties in controlling for all potential confounding variables.
Background: Increased understanding of early neurobehavioural development is needed to prevent, identify and treat childhood psychopathology most effectively at the earliest possible stage. Prospective birth cohorts can elucidate the association of genes, environment and their interactions with neurobehavioural development.
Methods:We conducted a systematic review of the birth cohort literature. On the basis of internet searches and 6,248 peer-reviewed references, 105 longitudinal epidemiological studies were identified. Twenty studies met inclusion criteria (prospectively recruited, population-based cohort studies including at least one assessment before the end of the perinatal period and at least one assessment of behaviour, temperament/personality, neuropsychiatric or psychiatric status before age 19 years) and their methodologies were reviewed in full.Results: While the birth cohort studies did study some aspects of behaviour and neurodevelopment, observations in the early months and years were rare. Furthermore, aspects of sampling method, sample size, data collection, design and breadth and depth of measurement in some studies made research questions about neurodevelopment difficult to answer. Existing birth cohort studies have yielded limited information on how pre-and perinatal factors and early neurodevelopment relate to child psychopathology.
Conclusions:Further epidemiological research is required with a specific focus on early neurodevelopment. Studies are needed which include measures of early childhood psychopathology and involve long term follow up.
There are numerous measures available demonstrating characteristics, which make them suitable for continued use. Future research is needed to examine the more holistic measurement of family functioning using integration of multi-informant data.
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