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Regular peaks and troughs in the Australian incidence of childhood type 1 diabetes mellitus (2000–2011).This study aimed to determine the incidence and incidence rate trends of type 1 diabetes mellitus in children aged 0–14 years...
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Linked data research: a valuable tool in the ART fieldThis letter to the editor endorses data linkage studies and cites their potential value over other types of epidemiological studies within the field of...
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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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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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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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Resilience, renewal and hope in Australian Indigenous-led primary health care initiativesCitation: Marriott R, Reibel T. Resilience, renewal and hope in Australian Indigenous-led primary health care initiatives. Prim Health Care Res Dev.
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Understanding Current Staff Experiences, Practices and Needs in Supporting Young People with Neurodevelopmental Disorders in the Queensland Youth Justice SystemYoung people with neurodevelopmental disorders are overrepresented in the youth justice system and face many disadvantages due to their impairments. The current study investigated what factors predict and contribute to the behavior of youth justice professionals working in the Queensland (QLD) youth justice system, utilizing a behavior change wheel framework.
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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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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