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Showing results for "early lung health"

Research

Selection of appropriate spirometry reference values in Aboriginal Australians

The Global Lung Function ‘Caucasian’ and ‘Other’ spirometry equations do not match healthy Aboriginal FEV1 and FVC data

Aboriginal Respiratory Health

Respiratory illness accounts for 12% of the age-standardised gap in mortality between Indigenous and non-Indigenous Australians.

Research

Associations between respiratory and vascular function in early childhood

The link between respiratory and vascular health is well documented in adult populations. Impaired lung function is consistently associated with thicker arteries and higher incidence of cardiovascular disease. However, there are limited data on this relationship in young children and the studies that exist have focussed on populations at high risk of cardiorespiratory morbidity.

Research

The impact of respiratory viruses on lung health after preterm birth

The aim of this review is to highlight the risk factors that may contribute to increased susceptibility to viral respiratory infections among preterm infants

Research

Effect of posture on lung ventilation distribution and associations with structure in children with cystic fibrosis

Background: We assessed the effect of posture on ventilation distribution and the impact on associations with structural lung disease.

Research

KINDEE: Kids INfections and Day care’s Effects on the lungs in those born Early

Over the last 40 years medical advances in the care of newborn babies has resulted in more children surviving very early “preterm” birth than ever before.

Research

Prevalence of chronic wet cough, protracted bacterial bronchitis (PBB) and middle ear disease in the Kimberley

This project aims to determine the prevalence of chronic wet cough, PBB and middle ear disease in Aboriginal children in Aboriginal communities in the Kimberley.

Research

Increasing diversity within the Global Lung Function Initiative

The Global Lung Function Initiative has worked to develop all‐age, multi‐ethnic reference equations for the major clinical lung function tests

Research

Does machine learning have a role in the prediction of asthma in children?

Asthma is the most common chronic lung disease in childhood. There has been a significant worldwide effort to develop tools/methods to identify children's risk for asthma as early as possible for preventative and early management strategies. Unfortunately, most childhood asthma prediction tools using conventional statistical models have modest accuracy, sensitivity, and positive predictive value.

Research

Altered lung structure and function in mid-childhood survivors of very preterm birth

To obtain comprehensive data on lung structure and function in mid-childhood from survivors of preterm birth.