7 research outputs found

    Gestational Age in Autistic Children and Adolescents: Prevalence and Effects on Autism Phenotype

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    Pre- and post-term children show increased autism risk. Little is known about gestational age (GA) prevalence among autistic children, and their respective autism phenotype. We compared prevalence of pre-, full- and post-term birth between a population-derived sample of N = 606 (137 females, 22.61%) autistic children and adolescents (mean age = 14.01, SD = 3.63, range 3–24) from the Netherlands Autism Register, and matched controls from the Dutch birth register. Autism phenotype and comorbid symptoms were assessed with the AQ-short and SDQ questionnaires. Using logistic regression, we found higher prevalence of pre- and post-term birth among autistic individuals but no phenotypical differences across GA groups. Autism risk was particularly elevated for post-term children, highlighting the need for closer investigation of autism on the whole GA range

    Gestational Age in Autistic Children and Adolescents: Prevalence and Effects on Autism Phenotype

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    Pre- and post-term children show increased autism risk. Little is known about gestational age (GA) prevalence among autistic children, and their respective autism phenotype. We compared prevalence of pre-, full- and post-term birth between a population-derived sample of N = 606 (137 females, 22.61%) autistic children and adolescents (mean age = 14.01, SD = 3.63, range 3-24) from the Netherlands Autism Register, and matched controls from the Dutch birth register. Autism phenotype and comorbid symptoms were assessed with the AQ-short and SDQ questionnaires. Using logistic regression, we found higher prevalence of pre- and post-term birth among autistic individuals but no phenotypical differences across GA groups. Autism risk was particularly elevated for post-term children, highlighting the need for closer investigation of autism on the whole GA range

    Committing to Keep Clean

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    Illegal garbage disposals are a persistent urban problem, resulting in high clean-up costs, and nuisance and decreased satisfaction with the neighborhood among residents. We compared three adjacent city-areas in Rotterdam in the Netherlands which, for 2 weeks, either: (1) no action to decrease illegal garbage disposals was taken; (2) standard door-to-door canvassing was carried out; or (3) door-to-door canvassing was enriched with several nudges, most importantly a commitment-nudge. The nudge treatment proved highly effective, reducing illegal disposals at post-test and follow-up (2 months later) with two-thirds, resulting in a very large effect size (d = 2.60). At post-test, standard door-to-door canvassing did not differ from the control treatment, but at follow-up results were comparable to the nudging-treatment. This could, however, be due to spill-over effects. Using a commitment nudge thus proved highly effective in decreasing illegal garbage disposals, however, effects might be specific to neighborhoods with strong social cohesion.</p

    The Functioning of Behavioural Units

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    Comprehensive Evaluation of the Behavioral Insights Group Rotterdam

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    Behavioral insights teams (BITs) employ behavioral experts and policy professionals to collaboratively improve public policy. Most evaluations of BITs focus on the interventions that BITs develop, but not the functioning of BITs. Here, we report the first comprehensive evaluation of a BIT, the Behavioral Insights Group Rotterdam. We investigate how its resources were used, for what activities, with what outputs, and to which effects. Using quantitative and qualitative methods, we derive nine propositions to describe and improve the integration of behavioral insights into public policy and administration
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