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The impact of universal mental health screening on stigma in primary schools
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Series Resistance Analysis of Passivated Emitter Rear Contact Cells Patterned Using Inkjet Printing
Published 2012-01-01Get full text
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Penicillium psychrofluorescens sp. nov., a naturally autofluorescent Antarctic fungus
Published 2025-01-01Get full text
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Adenoid Cystic Carcinoma of the Bartholin’s Gland: A Diagnostic Dilemma
Published 2019-01-01Get full text
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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
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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Detection of Antibody against Helicobacter pylori in the Saliva of Patients with Dyspepsia
Published 1994-01-01Get full text
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Treatment of Sarcoptic Mange in Wombats With Topical Moxidectin
Published 2024-11-01Get full text
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Saffron therapy for the ongoing treatment of age-related macular degeneration
Published 2024-07-01Get full text
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Lifestyle risk behaviours among adolescents: a two-year longitudinal study of the impact of the COVID-19 pandemic
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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