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Sarah M. Goodday
Researcher at University of Oxford
Publications - 44
Citations - 653
Sarah M. Goodday is an academic researcher from University of Oxford. The author has contributed to research in topics: Bipolar disorder & Offspring. The author has an hindex of 11, co-authored 38 publications receiving 395 citations. Previous affiliations of Sarah M. Goodday include University of Toronto.
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Journal ArticleDOI
Antecedents and sex/gender differences in youth suicidal behavior
Anne E. Rhodes,Michael H. Boyle,Jeffrey A. Bridge,Mark Sinyor,Paul S. Links,Lil Tonmyr,Robin Skinner,Jennifer Bethell,Corine Carlisle,Sarah M. Goodday,Travis S. Hottes,Amanda S Newton,Katherine Bennett,Purnima Sundar,Amy Cheung,Peter Szatmari +15 more
TL;DR: These proposed antecedents to youth suicide highlight the importance of interventions that alter early environment(s) and/or one's ability to adapt to them, and may have more enduring protective effects, for the individual and for future generations, if implemented in youth.
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The Emergent Course of Bipolar Disorder: Observations Over Two Decades From the Canadian High-Risk Offspring Cohort
TL;DR: Bipolar disorder in individuals at familial risk typically unfolds in a progressive clinical sequence, and childhood sleep and anxiety disorders are important predictors, as are clinically significant mood symptoms and psychotic symptoms in depressive episodes.
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Candidate Risks Indicators for Bipolar Disorder: Early Intervention Opportunities in High-Risk Youth
TL;DR: A selective review of findings from studies of high-risk children of affected parents that inform the knowledge of illness risk and development markers of bipolar disorder to identify candidate clinical, biological, and psychological risk indicators that could serve as targets for future early intervention and prevention studies.
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Predictors of mental health and academic outcomes in first-year university students: Identifying prevention and early-intervention targets.
Anne Duffy,Charles Donald George Keown-Stoneman,Sarah M. Goodday,Julie Horrocks,M Lowe,Nathan King,William Pickett,Steven H. McNevin,Simone Cunningham,Daniel Rivera,Lampros Bisdounis,Christopher R. Bowie,Kate L. Harkness,Kate E. A. Saunders +13 more
TL;DR: Clinically significant mental health symptoms are common and persistent among first-year university students and have a negative impact on academic performance and well-being, and a comprehensive mental health strategy that includes a whole university approach to prevention and targeted early-intervention measures is justified.
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Unlocking stress and forecasting its consequences with digital technology.
TL;DR: The growth and availability of digital technologies involving wearable devices and mobile phone apps afford the opportunity to dramatically improve measurement of the biological stress response in real time, and the marriage of artificial intelligence (AI) and machine learning could dramatically enhance the field of stress research.