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Autism and intellectual disability are differentially related to sociodemographic background at birthWe used population data on Western Australian singletons born from 1984 to 1999 (n = 398,353) to examine the sociodemographic characteristics of children...
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Age at diagnosis of birth defectsMany birth defects surveillance programs ascertain cases of birth defects diagnosed beyond 1 year of age.
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Fortification of flour with folic acidAfter randomized, controlled trials established that consumption of folic acid before pregnancy and during the early weeks of gestation reduces the risk...
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Physical and mental health in mothers of children with Down syndrome.Physical and mental health in mothers of children with Down syndrome.
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Perinatal risk factors for childhood Type 1 diabetes in Western Australia - a population-based study (1980-2002)To investigate perinatal risk factors for childhood Type 1 diabetes in Western Australia, using a complete population-based cohort.
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Precision pathways for young children at risk of Neurodevelopmental Disorders: Early identification and adaptive intervention starting from the prenatal periodAmy Andrew Carol Deborah Gail Helen Jenny Kandice Martyn Videos Finlay-Jones Whitehouse Watch and listen to Andrew Bower Strickland Alvares Leonard
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Associations of prenatal alcohol exposure and offspring harmful alcohol use: findings from the Raine StudyEpidemiological evidence suggests offspring exposed to prenatal alcohol are at increased risk of alcohol use disorders in adulthood. The evidence on the risk of developing harmful alcohol use in adolescence is less clear.
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MatCH (Mothers and their Children’s Health) Profile: offspring of the 1973-78 cohort of the Australian Longitudinal Study on Women’s HealthMatCH is an Australian study to investigate the links between the health, wellbeing and living conditions of mothers and the health and development of their children
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Machine learning vs addiction therapists: A pilot study predicting alcohol dependence treatment outcome from patient data in behavior therapy with adjunctive medicationThe majority of staff and machine learning models were not more accurate than suggested by chance