Prevalence of mental health conditions and relationship with general health in a whole-country population of people with intellectual disabilities compared with the general population

Background: There are no previous whole-country studies on mental health and relationships with general health in intellectual disability populations; study results vary. Aims: To determine the prevalence of mental health conditions and relationships with general health in a total population with and without intellectual disabilities. Method: Ninety-four per cent completed Scotland’s Census 2011. Data on intellectual disabilities, mental health and general health were extracted, and the association between them was investigated. Results: A total of 26 349/5 295 403 (0.5%) had intellectual disabilities. In total, 12.8% children, 23.4% adults and 27.2% older adults had mental health conditions compared with 0.3, 5.3 and 4.5% of the general population. Intellectual disabilities predicted mental health conditions; odds ratio (OR)=7.1 (95% CI 6.8–7.3). General health was substantially poorer and associated with mental health conditions; fair health OR=1.8 (95% CI 1.7–1.9), bad/very bad health OR=4.2 (95% CI 3.9–4.6). Conclusions: These large-scale, whole-country study findings are important, given the previously stated lack of confidence in comparative prevalence results, and the need to plan services accordingly

Calcium intake and knowledge among white adolescent girls in Gauteng, South Africa

Objectives. To determine the knowledge and intake of calcium among white adolescent girls in Gauteng, South Africa. Design. A quantitative study using a questionnaire interview conducted over 13 months (1 June 2000 - 31 July 2001). Settings. Sixteen randomly selected private and state schools in the Gauteng area. Subjects. Adolescent white girls aged between 15 and 17 years. Outcome measures. Calcium intake and knowledge using a food frequency questionnaire (FFQ) and 7-day weighed records (WRS). Results. Mean calcium intake according to the FFQ was 811 mg/day (adequate intake (AI) 1 300 mg/day). Fiftyone per cent of participants had not been given any information relating to calcium and its benefits. Teachers and parents are the most noted sources of information and 31% of the participants knew that adolescence was the most important period for calcium absorption and bone building. Conclusions. Adolescents have low intakes of calcium compared with what is recommended. It is important to develop intervention programmes that target children, adolescents, teachers and mothers alike. It is also imperative to develop awareness of the importance of calcium consumption during childhood and adolescence in order to minimise the possibility of osteoporosis in later life. South African Journal of Clinical Nutrition Vol.17(3) 2004: 102-10

Creating a longitudinal dataset of care experienced children in Scotland – Administrative Data Research Scotland.

To create a dataset which describes the care experience of children in Scotland data.  To share with analysts in a safe setting to allow linkage, and provide information on the strengths and weaknesses. To gather feedback on its use to inform future collections and improve experience of future users. The dataset was created by combining 11 years of data provided to Scottish Government by local authorities.  The resulting longitudinal dataset includes details of the children, the periods of care including the type of care setting, along with the legal basis for this care, and information on the destination of the child following care.  Detailed information about the dataset is provided along with a background document in how the dataset was constructed.  Data quality flags are provided to highlight situations where there may be inconsistences, and code is shared to create a cleaned dataset for analysis. A longitudinal dataset has been created covering the period 2009 to 2019.  This covers almost 60,000 children with details of the care setting and legal basis.   The dataset has been indexed to a population spine, which enables it to be linked to other data.  Additional derived variables have been added, and improvements made to data quality where possible. In other situations data quality is  highlighted with guidance provided on how to deal with these issues.  The results have been shared extensively with the data providers, and previous users providing valuable input.  This has resulted in improved understanding of the data, and informed the practice of gathering data in future years, and plans for official statistics  on health outcomes of care experienced children. This project has created an enduring resource which will improve evidence for policy making by allowing analysis to consider patterns of care experience and link it to outcomes.  This is particularly relevant given a review of care experience in Scotland, and the commitment by Scottish Government to keep the Promise

The prevalence and general health status of people with intellectual disabilities and autism co-occurring together – a total population study

Background: Little is known about the population prevalence of co-occurring intellectual disabilities and autism, and its impact on general health status. This study aimed to investigate this, in comparison with the general population. Method: Whole country data from Scotland's Census, 2011 were analysed. Descriptive statistics were generated, 2 tests undertaken, and logistic regressions undertaken both with the whole general population data, adjusted for age and gender, and within the population with co-occurring intellectual disabilities and autism. Results: 5,709/5,295,403 (1.08/1,000) people had co-occurring intellectual disabilities and autism; 2.58/1,000 children/young people and 0.74/1,000 adults. The peak reported prevalence was at age 10 years (3.78/1,000). 66.0% were male. Their general health status was substantially poorer than for the rest of the population, more so for children/young people, and they had more limitations in their day-to-day activities. Co-occurring intellectual disabilities and autism had odds ratio=48.8 (45.0-53.0) in statistically predicting poor health. Conclusion: This is the first study to report the population prevalence of co-existing intellectual disabilities and autism, and the substantial influence this double-disadvantage has on general health status, apparent across the entire life-course. This highlights a group in need of wider recognition for whom resources should be focused on and planned for, informed by evidence. Staff in services for people with either of these conditions need to be trained, equipped, resourced and prepared to address the challenge of working for people with this duality. This is essential, to address these substantial health inequalities

Infants born into care in Scotland: Initial Findings

This report is one of the first outputs that uses linked data from the Looked after Children in Scotland data (LAC-S) to examine looked after children’s journeys. These data were made available to the research team in a secure environment that protects the privacy of all subjects. The report describes the patterns of care for infants who first became looked after in Scotland when under 1 year of age between 1st April 2008 and 31st July 2017. It includes details of all episodes of care up to the end of follow-up (31st July 2017)

Age at identification, prevalence and general health of children with autism: observational study of a whole country population

No abstract available

Prevalence of long-term health conditions in adults with autism: observational study of a whole country population

Objectives: To investigate the prevalence of comorbid mental health conditions and physical disabilities in a whole country population of adults aged 25+ with and without reported autism. Design: Secondary analysis of Scotland’s Census, 2011 data. Cross-sectional study. Setting: General population. Participants: 94% of Scotland’s population, including 6649/3 746 584 adults aged 25+ reported to have autism. Main outcome measures: Prevalence of six comorbidities: deafness or partial hearing loss, blindness or partial sight loss, intellectual disabilities, mental health conditions, physical disability and other condition; ORs (95% CI) of autism predicting these comorbidities, adjusted for age and gender; and OR for age and gender in predicting comorbidities within the population with reported autism. Results: Comorbidities were common: deafness/hearing loss—17.5%; blindness/sight loss—12.1%; intellectual disabilities—29.4%; mental health conditions—33.0%; physical disability—30.7%; other condition—34.1%. Autism statistically predicted all of the conditions: OR 3.3 (95% CI 3.1 to 3.6) for deafness or partial hearing loss, OR 8.5 (95% CI 7.9 to 9.2) for blindness or partial sight loss, OR 94.6 (95% CI 89.4 to 100.0) for intellectual disabilities, OR 8.6 (95% CI 8.2 to 9.0) for mental health conditions, OR 6.2 (95% CI 5.8 to 6.6) for physical disability and OR 2.6 (95% CI 2.5 to 2.8) for other condition. Contrary to findings within the general population, female gender predicted all conditions within the population with reported autism, including intellectual disabilities (OR=1.4). Conclusions: Clinicians need heightened awareness of comorbidities in adults with autism to improve detection and suitable care, especially given the added complexity of assessment in this population and the fact that hearing and visual impairments may cause additional difficulties with reciprocal communication which are also a feature of autism; hence posing further challenges in assessment

Prevalence of long-term health conditions in adults with autism:Observational study of a whole country population

Objectives: To investigate the prevalence of comorbid mental health conditions and physical disabilities in a whole country population of adults aged 25+ with and without reported autism. Design: Secondary analysis of Scotland’s Census, 2011 data. Cross-sectional study. Setting: General population. Participants: 94% of Scotland’s population, including 6649/3 746 584 adults aged 25+ reported to have autism. Main outcome measures: Prevalence of six comorbidities: deafness or partial hearing loss, blindness or partial sight loss, intellectual disabilities, mental health conditions, physical disability and other condition; ORs (95% CI) of autism predicting these comorbidities, adjusted for age and gender; and OR for age and gender in predicting comorbidities within the population with reported autism. Results: Comorbidities were common: deafness/hearing loss—17.5%; blindness/sight loss—12.1%; intellectual disabilities—29.4%; mental health conditions—33.0%; physical disability—30.7%; other condition—34.1%. Autism statistically predicted all of the conditions: OR 3.3 (95% CI 3.1 to 3.6) for deafness or partial hearing loss, OR 8.5 (95% CI 7.9 to 9.2) for blindness or partial sight loss, OR 94.6 (95% CI 89.4 to 100.0) for intellectual disabilities, OR 8.6 (95% CI 8.2 to 9.0) for mental health conditions, OR 6.2 (95% CI 5.8 to 6.6) for physical disability and OR 2.6 (95% CI 2.5 to 2.8) for other condition. Contrary to findings within the general population, female gender predicted all conditions within the population with reported autism, including intellectual disabilities (OR=1.4). Conclusions: Clinicians need heightened awareness of comorbidities in adults with autism to improve detection and suitable care, especially given the added complexity of assessment in this population and the fact that hearing and visual impairments may cause additional difficulties with reciprocal communication which are also a feature of autism; hence posing further challenges in assessment

Prevalence of sensory impairments, physical and intellectual disabilities, and mental health in children and young people with self/proxy-reported autism: observational study of a whole country population

This study investigated the comorbid conditions in a whole country population of children/young people aged 0–24 years with and without autism. Data were drawn from Scotland’s Census 2011. We calculated the percentage with autism, their extent of comorbid conditions, odds ratio (with 95% confidence intervals) of autism predicting comorbidities, adjusted for age and gender, and odds ratio for age and gender predicting comorbidities within the cohort with autism. A total of 25,063/1,548,819 (1.6%) had autism: 19,880 (79.3%) males and 5183 (20.7%) females. Autism had an odds ratio of 5.4 (5.1–5.6) for predicting deafness/partial hearing loss, odds ratio of 8.9 (8.1–9.7) for blindness/partial sight loss, odds ratio of 49.7 (38.1–64.9) for intellectual disabilities, odds ratio of 15.7 (13.4–18.5) for mental health conditions, odds ratio of 15.8 (14.1–17.8) for physical disability and odds ratio of 3.9 (3.8–4.0) for other conditions. Females with autism were more likely to have each additional condition than males, including intellectual disabilities, suggesting they may have more severe autism than males and adding evidence that autism may be currently underdiagnosed in more intellectually able females. These conditions are disabling and have a significant impact on long-term quality of life; their coexistence with autism adds extra complexity. It is important to raise clinicians’ awareness of this extent of comorbidity, and to have accurate prevalence data to plan prevention and intervention measures, and to follow health inequality trends

Cohort profile : The 'Children's Health in Care in Scotland' (CHiCS) study-a longitudinal dataset to compare health outcomes for care experienced children and general population children

Purpose: The Children’s Health in Care in Scotland Cohorts were set up to provide first population-wide evidence on the health outcomes of care experienced children (CEC) compared with children in the general population (CGP). To date, there are no data on how objective health outcomes, mortality and pregnancies for CEC are different from CGP in Scotland. Participants: The CEC cohort includes school-aged children who were on the 2009/2010 Scottish Government’s Children Looked After Statistics (CLAS) return and on the 2009 Pupil Census (PC). The children in the general population cohort includes those who were on the 2009 PC and not on any of the CLAS returns between 1 April 2007 and 31 July 2016. Findings to date: Data on a variety of health outcomes, including mortality, prescriptions, hospitalisations, pregnancies, and Accident & Emergency attendances, were obtained for the period 1 August 2009 to 31 July 2016 for both cohorts. Data on socioeconomic status (SES) for both cohorts were available from the Birth Registrations and a small area deprivation measure was available from the PC. CEC have, on average, lower SES at birth and live in areas of higher deprivation compared with CGP. A higher proportion of CEC have recorded events across all health data sets, and they experienced higher average rates of mortality, prescriptions and hospitalisations during the study period. The reasons for contacting health services vary between cohorts. Future plans: Age-standardised rates for the two cohorts by sex and area deprivation will be calculated to provide evidence on population-wide prevalence of main causes of death, reasons for hospitalisation and types of prescription. Event history analysis will be used on matched cohorts to investigate the impact of placement histories and socioeconomic factors on health