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Research
Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.
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Epigenome-Wide Association Studies of Chronic Obstructive Pulmonary Disease and Lung Function: A Systematic ReviewChronic obstructive pulmonary disease (COPD) results from gene-environment interactions over the lifetime. These interactions are captured by epigenetic changes, such as DNA methylation.
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Sensitivity and specificity of Aboriginal-developed items to supplement the adapted PHQ-9 screening measure for depression: results from the Getting it Right studyCitation: Skinner T, Brown A, Teixeira-Pinto A, et al. Sensitivity and specificity of Aboriginal-developed items to supplement the adapted PHQ-9
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Skin health of Aboriginal children living in urban communitiesSkin concerns are frequent among urban-living Aboriginal children, yet specialist dermatology consultations are limited with studies highlighting the need for improved cultural security. Through newly established paediatric dermatology clinics at two urban Aboriginal Community Controlled Health Organisations (ACCHOs), we aimed to describe clinic and patient data, including disease frequencies and associations, to inform dermatology service provision and advocacy.
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Barriers and facilitators to mental health care access and engagement for LGBTQA+ people with psychosis: A scoping reviewLGBTQA+ individuals are at increased risk of experiencing psychosis and face barriers in accessing appropriate and timely mental health support. This scoping review maps the existing literature to identify barriers and facilitators to access and engagement to care for LGBTQA+ people across the psychosis spectrum.
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Aboriginal and Torres Strait Islander community experiences and recommendations for health and medical research: a mixed methods studyTo describe Aboriginal and Torres Strait Islander communities' processes, positioning and experiences of health and medical research and their recommendations.
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Machine learning techniques to predict diabetic ketoacidosis and HbA1c above 7% among individuals with type 1 diabetes — A large multi-centre study in Australia and New ZealandType 1 diabetes and diabetic ketoacidosis (DKA) have a significant impact on individuals and society across a wide spectrum. Our objective was to utilize machine learning techniques to predict DKA and HbA1c>7 %.
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Comparing videolaryngoscopy and flexible bronchoscopy to rescue failed direct laryngoscopy in children: a propensity score matched analysis of the Pediatric Difficult Intubation RegistryFlexible bronchoscopy is the gold standard for difficult airway management. Clinicians are using videolaryngoscopy increasingly because it is perceived to be easier to use with high success rates. We conducted this study to compare the success rates of the two techniques when used after failed direct laryngoscopy in children with difficult tracheal intubations.
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A roadmap for understanding sulfadoxine-pyrimethamine in malaria chemopreventionMelissa Penny PhD, PD, BSc (Hons) Professor Fiona Stanley Chair in Child Health Research melissa.penny@thekids.org.au Professor Fiona Stanley Chair
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Predicting NSSI among trans young people: the role of transphobic experiences, body image, and gender dysphoriaNon-suicidal self-injury (NSSI) is particularly common among trans young people. NSSI is most commonly used as an emotion regulation strategy, which may explain the high prevalence of the behavior among trans young people, who often experience unique stressors. In the current study we test an application of the Pantheoretical Framework of Dehumanization, in which transphobic experiences, body surveillance, body dissatisfaction, and gender dysphoria are all theorized to predict NSSI.