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      Autism and Intellectual Disability Are Differentially Related to Sociodemographic Background at Birth

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          Abstract

          Background

          Research findings investigating the sociodemographics of autism spectrum disorder (ASD) have been inconsistent and rarely considered the presence of intellectual disability (ID).

          Methods

          We used population data on Western Australian singletons born from 1984 to 1999 (n = 398,353) to examine the sociodemographic characteristics of children diagnosed with ASD with or without ID, or ID without ASD compared with non-affected children.

          Results

          The profiles for the four categories examined, mild-moderate ID, severe ID, ASD without ID and ASD with ID varied considerably and we often identified a gradient effect where the risk factors for mild-moderate ID and ASD without ID were at opposite extremes while those for ASD with ID were intermediary. This was demonstrated clearly with increased odds of ASD without ID amongst older mothers aged 35 years and over (odds ratio (OR) = 1.69 [CI: 1.18, 2.43]), first born infants (OR = 2.78; [CI: 1.67, 4.54]), male infants (OR = 6.57 [CI: 4.87, 8.87]) and increasing socioeconomic advantage. In contrast, mild-moderate ID was associated with younger mothers aged less than 20 years (OR = 1.88 [CI: 1.57, 2.25]), paternal age greater than 40 years (OR = 1.59 [CI: 1.36, 1.86]), Australian-born and Aboriginal mothers (OR = 1.60 [CI: 1.41, 1.82]), increasing birth order and increasing social disadvantage (OR = 2.56 [CI: 2.27, 2.97]). Mothers of infants residing in regional or remote areas had consistently lower risk of ASD or ID and may be linked to reduced access to services or under-ascertainment rather than a protective effect of location.

          Conclusions

          The different risk profiles observed between groups may be related to aetiological differences or ascertainment factors or both. Untangling these pathways is challenging but an urgent public health priority in view of the supposed autism epidemic.

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          Most cited references61

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          Racial/ethnic disparities in the identification of children with autism spectrum disorders.

          We sought to examine racial and ethnic disparities in the recognition of autism spectrum disorders (ASDs). Within a multisite network, 2568 children aged 8 years were identified as meeting surveillance criteria for ASD through abstraction of evaluation records from multiple sources. Through logistic regression with random effects for site, we estimated the association between race/ethnicity and documented ASD, adjusting for gender, IQ, birthweight, and maternal education. Fifty-eight percent of children had a documented autism spectrum disorder. In adjusted analyses, children who were Black (odds ratio [OR] = 0.79; 95% confidence interval [CI] = 0.64, 0.96), Hispanic (OR = 0.76; CI = 0.56, 0.99), or of other race/ethnicity (OR = 0.65; CI = 0.43, 0.97) were less likely than were White children to have a documented ASD. This disparity persisted for Black children, regardless of IQ, and was concentrated for children of other ethnicities when IQ was lower than 70. Significant racial/ethnic disparities exist in the recognition of ASD. For some children in some racial/ethnic groups, the presence of intellectual disability may affect professionals' further assessment of developmental delay. Our findings suggest the need for continued professional education related to the heterogeneity of the presentation of ASD.
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            A decade of data linkage in Western Australia: strategic design, applications and benefits of the WA data linkage system.

            The report describes the strategic design, steps to full implementation and outcomes achieved by the Western Australian Data Linkage System (WADLS), instigated in 1995 to link up to 40 years of data from over 30 collections for an historical population of 3.7 million. Staged development has seen its expansion, initially from a linkage key to local health data sets, to encompass links to national and local health and welfare data sets, genealogical links and spatial references for mapping applications. The WADLS has supported over 400 studies with over 250 journal publications and 35 graduate research degrees. Applications have occurred in health services utilisation and outcomes, aetiologic research, disease surveillance and needs analysis, and in methodologic research. Longitudinal studies have become cheaper and more complete; deletion of duplicate records and correction of data artifacts have enhanced the quality of information assets; data linkage has conserved patient privacy; community machinery necessary for organised responses to health and social problems has been exercised; and the commercial return on research infrastructure investment has exceeded 1000%. Most importantly, there have been unbiased contributions to medical knowledge and identifiable advances in population health arising from the research.
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              Maternal and paternal age and risk of autism spectrum disorders.

              To explore the association between maternal and paternal age and risk of autism spectrum disorders (ASDs) in offspring. Historical birth cohort study. Kaiser Permanente (KP) in Northern California. All singleton children born at KP from January 1, 1995, to December 31, 1999, were included in the study. We identified 593 children who had ASD diagnoses (International Classification of Diseases, Ninth Revision, Clinical Modification, code 299.0 or 299.8) recorded 2 or more times in KP outpatient databases before May 2005. These children were compared with all 132,251 remaining singleton KP births. Main Exposures Maternal and paternal age at birth of offspring. Relative risks (RRs) estimated from proportional hazards regression models. Risk of ASDs evaluated in relation to maternal and paternal age, adjusted for each other and for the sex, birth date, and birth order of the child, maternal and paternal educational level, and maternal and paternal race/ethnicity. Risk of ASDs increased significantly with each 10-year increase in maternal age (adjusted RR, 1.31; 95% confidence interval [CI], 1.07-1.62) and paternal age (RR, 1.28; 95% CI, 1.09-1.51). Adjusted RRs for both maternal and paternal age were elevated for children with autistic disorder (maternal age: RR, 1.18; 95% CI, 0.87-1.60; paternal age: RR, 1.34; 95% CI, 1.06-1.69) and children with Asperger disorder or pervasive developmental disorder not otherwise specified (maternal age: RR, 1.45; 95% CI, 1.09-1.93; paternal age: RR, 1.24; 95% CI, 0.99-1.55). Associations with parental age were somewhat stronger for girls than for boys, although sex differences were not statistically significant. Advanced maternal and paternal ages are independently associated with ASD risk.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                30 March 2011
                : 6
                : 3
                : e17875
                Affiliations
                [1 ]Telethon Institute for Child Health Research, Centre for Child Health Research, The University of Western Australia, West Perth, Western Australia, Australia
                [2 ]School of Population Health, The University of Western Australia, Perth, Western Australia, Australia
                [3 ]Perinatal Research, Kolling Institute of Medical Research, University of Sydney, Sydney, New South Wales, Australia
                [4 ]National Drug Research Institute, Curtin University, Perth, Western Australia, Australia
                The University of Queensland, Australia
                Author notes

                Conceived and designed the experiments: HL EG NN AW AB JB PJ CB. Analyzed the data: HL AB PJ. Contributed reagents/materials/analysis tools: AB PJ NN JB EM. Wrote the paper: HL EG NN AW AB JB PJ GD EM CB FS. Research project organization: HL EG NN AW AB JB GD CB FS. Research project execution: HL EG NN AW AB JB PJ EM CB.

                Article
                PONE-D-11-01248
                10.1371/journal.pone.0017875
                3068153
                21479223
                6fd6eb40-c12b-42fd-aef2-c94b055c285c
                Leonard et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 8 January 2011
                : 11 February 2011
                Page count
                Pages: 9
                Categories
                Research Article
                Biology
                Computational Biology
                Population Modeling
                Population Biology
                Epidemiology
                Social Epidemiology
                Medicine
                Clinical Research Design
                Epidemiology
                Epidemiology
                Pediatric Epidemiology
                Social Epidemiology
                Non-Clinical Medicine
                Socioeconomic Aspects of Health
                Pediatrics
                Child Development
                Developmental and Pediatric Neurology
                Public Health
                Child Health
                Socioeconomic Aspects of Health

                Uncategorized
                Uncategorized

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