H
Helen Christensen
Researcher at University of New South Wales
Publications - 629
Citations - 58443
Helen Christensen is an academic researcher from University of New South Wales. The author has contributed to research in topics: Mental health & Psychological intervention. The author has an hindex of 116, co-authored 596 publications receiving 48002 citations. Previous affiliations of Helen Christensen include Centre for Mental Health & Arcadia University.
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Journal ArticleDOI
People Who Die by Suicide Without Receiving Mental Health Services: A Systematic Review
Samantha Tang,Natalie M. Reily,Andrew Arena,Philip J. Batterham,Alison L. Calear,Gregory Carter,Andrew Mackinnon,Helen Christensen +7 more
TL;DR: People who die by suicide without receiving mental health services are likely to have diverse profiles, indicating the need for multifaceted approaches to effectively support people at risk of suicide.
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Community-Based Validation of the Social Phobia Screener (SOPHS).
TL;DR: The Social Phobia Screener was validated in two samples and is a valid and reliable screener for social anxiety that is freely available for use in research and clinical settings.
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Commentary on ‘The relationship between public causal beliefs and social distance toward mentally ill people’
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Universal depression prevention: An umbrella review of meta-analyses.
Erin Hoare,Sam Collins,Wolfgang Marx,Edward Callaly,Ryan Moxham-Smith,Pim Cuijpers,Arne Holte,Andrew A. Nierenberg,Nicola J. Reavley,Helen Christensen,Charles F. Reynolds,André F. Carvalho,André F. Carvalho,André F. Carvalho,Felice N. Jacka,Felice N. Jacka,Michael Berk +16 more
TL;DR: A systematic umbrella review of universally delivered preventive interventions for depression is presented in this article, where the authors identify meta-analyses that investigated the prevention of depression through intervention studies that were universal, in that they were designed to be delivered to entire populations.
We Feel: Taking the emotional pulse of the world
TL;DR: The authors Feel is an online tool that passively analyses a ‘massive pipe’ of Tweets, using language processing to look at the English words people use and mapping them to a hierarchy or ‘wheel of emotions’, which enables researchers to examine the emotional state of the world at any time, including during or after specific events.