Showing 21 - 40 results of 394 for search '"New South Wales"', query time: 0.07s Refine Results
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    A surveillance study to determine the accuracy of mild traumatic brain injury diagnosis in an emergency department: protocol for a retrospective cohort study by Ian D Cameron, Ilaria Pozzato, Ashley Craig, Bamini Gopinath, Mark Gillett, Annette Kifley, Kim Van Vu, Susanne Meares, Anthony Liang

    Published 2017-08-01
    “…This project will advance existing research findings by estimating the occurrence of mTBI among those attending an ED and quantifying the accuracy of mTBI diagnoses recorded by ED staff through a comprehensive audit of ED records.Methods and analysis Retrospective chart reviews (between June 2015 and June 2016) of electronic clinical records from an ED in Sydney (New South Wales, Australia) will be conducted. The study population will include persons aged 18–65 years who attended the ED with any clinical features potentially indicative of mTBI. …”
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    Lifestyle risk behaviours among adolescents: a two-year longitudinal study of the impact of the COVID-19 pandemic by Nicola Clare Newton, Maree Teesson, Jennifer Debenham, Cath Chapman, Bridie Osman, Lauren Anne Gardner, Fiona Elizabeth Wylie, Katrina Elizabeth Champion

    Published 2022-06-01
    “…Objective To examine changes in the prevalence of six key chronic disease risk factors (the “Big 6”), from before (2019) to during (2021) the COVID-19 pandemic, among a large and geographically diverse sample of adolescents, and whether differences over time are associated with lockdown status and gender.Design Prospective cohort study.Setting Three Australian states (New South Wales, Queensland and Western Australia) spanning over 3000 km.Participants 983 adolescents (baseline Mage=12.6, SD=0.5, 54.8% girl) drawn from the control group of the Health4Life Study.Primary outcomes The prevalence of physical inactivity, poor diet (insufficient fruit and vegetable intake, high sugar-sweetened beverage intake, high discretionary food intake), poor sleep, excessive recreational screen time, alcohol use and tobacco use.Results The prevalence of excessive recreational screen time (prevalence ratios (PR)=1.06, 95% CI=1.03 to 1.11), insufficient fruit intake (PR=1.50, 95% CI=1.26 to 1.79), and alcohol (PR=4.34, 95% CI=2.82 to 6.67) and tobacco use (PR=4.05 95% CI=1.86 to 8.84) increased over the 2-year period, with alcohol use increasing more among girls (PR=2.34, 95% CI=1.19 to 4.62). …”
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