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Research

“Our culture, how it is to be us” — Listening to Aboriginal women about on Country urban birthing

The Birthing on Noongar Boodjar project Aboriginal women's data represents four generations of women's stories, experiences and expressions of childbearing

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Congenital Anomalies in Children With Cerebral Palsy: A Systematic Review

This systematic review aimed to address gaps in our understanding of the association between congenital anomalies and cerebral palsy

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Maternal smoking and low family income during pregnancy as predictors of the relationship between depression and adiposity in young adults

We aimed to investigate the influence of antenatal and postnatal factors on the increasing incidence of overweight/obesity and mental health disorders in young adults

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Excess stroke incidence in young Aboriginal people in South Australia: Pooled results from two population-based studies

The excess stroke incidence in Aboriginal South Australians appears substantial, especially in those aged <55 years

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Construct validity and responsiveness of the functional Tactile Object Recognition Test for children with cerebral palsy

The functional Tactile Object Recognition Test demonstrated preliminary construct validity, and was positively associated with an upper limb activity measure

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Age at menarche and childhood body mass index as predictors of cardio-metabolic risk in young adulthood: A prospective cohort study

Earlier age at menarche may be indicative of a higher risk profile for cardiovascular disease in young adulthood

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Are children more vulnerable to mesothelioma than adults?

We found no greater susceptibility to mesothelioma among those first exposed to asbestos as children than those first exposed as adults

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Elucidating the genetic architecture of Adams-Oliver syndrome in a large European cohort

The purpose of this study was therefore to comprehensively examine the genetic architecture of Adams-Oliver syndrome in an extensive cohort

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Predicting disease progression in cystic fibrosis

Comprehensive scores incorporating clinical, lung function, imaging and laboratory data will become essential in the future for predicting disease progression and for use in clinical trials