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Catherine R. Glenn

Researcher at Old Dominion University

Publications -  73
Citations -  5282

Catherine R. Glenn is an academic researcher from Old Dominion University. The author has contributed to research in topics: Poison control & Suicidal ideation. The author has an hindex of 30, co-authored 65 publications receiving 4095 citations. Previous affiliations of Catherine R. Glenn include Harvard University & Stony Brook University.

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Assessing the Functions of Non-suicidal Self-injury: Psychometric Properties of the Inventory of Statements About Self-injury (ISAS)

TL;DR: The psychometric properties of the Inventory of Statements About Self-injury (ISAS), a measure designed to comprehensively assess the functions of non-suicidal self-in injury (NSSI), support the reliability and validity of the ISAS.
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The relationship between nonsuicidal self-injury and attempted suicide: converging evidence from four samples.

TL;DR: NSSI may be a uniquely important risk factor for suicide because its presence is associated with both increased desire and capability for suicide.
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Emotion dysregulation as a core feature of borderline personality disorder

TL;DR: Examination of the relationship between BPD symptomatology and emotion dysregulation using the Difficulties in Emotion Regulation Scale (DERS) in two college samples suggests that emotion Dysregulation accounts for unique variance in BPD even after controlling for traditional indicators of negative emotionality.
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Annual Research Review: Suicide among youth - epidemiology, (potential) etiology, and treatment.

TL;DR: There is much work to be done to better understand suicidal thoughts and behaviors among youth, and future research is strongly encouraged to improve the scientific approach, knowledge base, and ultimately prevention of suicidal thought and behaviors in youth.
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Improving the Short-Term Prediction of Suicidal Behavior

TL;DR: It is proposed that the next generation of research on the assessment and prediction of suicidal behavior should shift, from cross-sectional studies of bivariate risk and protective factors, to prospective studies aimed at identifying multivariate, short-term prediction indices.