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ANZAED Eating disorder treatment principles and general clinical practice and training standards

Eating disorders are complex to manage, and there is limited guidance around the depth and breadth of knowledge, skills and experience required by treatment providers. The Australia & New Zealand Academy for Eating Disorders (ANZAED) convened an expert group of eating disorder researchers and clinicians to define the clinical practice and training standards recommended for mental health professionals and dietitians providing treatment for individuals with an eating disorder. Implementing these standards aims to bring treatment closer to best practice, and consequently improve treatment outcomes, reduce financial cost to patients and services and improve patient quality of life.

Evidence-based prevention of Alzheimer's disease

An epic new systematic review and meta-analysis pooled evidence from 44,676 reports on the prevention of Alzheimer's disease. 243 observational prospective studies and 153 randomised controlled trials were eligible for analysis. Twenty-one suggestions are proposed based on the consolidated evidence, with Class I suggestions targeting 19 factors: 10 with Level A strong evidence (education, cognitive activity, high body mass index in late life, hyperhomocysteinaemia, depression, stress, diabetes, head trauma, hypertension in midlife and orthostatic hypotension) and 9 with Level B weaker evidence (obesity in midlife, weight loss in late life, physical exercise, smoking, sleep, cerebrovascular disease, frailty, atrial fibrillation and vitamin C). In contrast, two interventions are not recommended: oestrogen replacement therapy (Level A2) and acetylcholinesterase inhibitors (Level B).

MJA RESEARCH SKILLS – De-confounding confounding Part 3: controlling for confounding in statistical analyses

This MJA series – co-edited by HNELHD staff John Attia – aims to make statistics accessible for clinicians. The latest instalment – after a period of limbo – returns to the topic of confounding, offering an alternative method of control.

Part 2: Discusses the emergence of directed acyclic graphs (DAGs) to identify confounding
Part 1: Provides traditional explanations of confounding

Saliva as a candidate for COVID-19 diagnostic testing

The present gold standard for sampling is the nasopharyngeal swab method. However, several recent papers suggested that saliva-based testing is a promising alternative that could simplify and accelerate COVID-19 diagnosis.

Rapid review...
Practical challenges...

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