New Tool Developed to Address Suicide Risk in Premenstrual Dysphoric Disorder
Premenstrual dysphoric disorder is associated with higher risk of suicide – here’s how we hope our new tool will help
The Conversation
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Premenstrual dysphoric disorder (PMDD) affects 3-8% of women and those assigned female at birth, leading to severe emotional and cognitive symptoms and a significantly heightened risk of suicide. A new model aims to help healthcare professionals better understand and manage suicide risk in PMDD patients by tracking menstrual cycles and identifying risk patterns.
- 01Research indicates that individuals with PMDD are seven times more likely to attempt suicide than those without the disorder.
- 02Around one in three individuals with PMDD have attempted suicide, and more than half engage in self-harm.
- 03The new model developed by researchers incorporates menstrual cycle tracking to enhance risk assessment and patient discussions.
- 04Many patients report feelings of helplessness and exhaustion, often describing their suicide attempts as impulsive rather than planned.
- 05Current PMDD treatments may not effectively address suicidality, highlighting the need for targeted interventions.
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Premenstrual dysphoric disorder (PMDD) is a severe mood disorder affecting 3-8% of women and individuals assigned female at birth, leading to debilitating symptoms before menstruation. Those with PMDD are at a significantly increased risk of suicide, with studies showing they are seven times more likely to attempt suicide compared to those without the disorder. The majority experience suicidal thoughts, and one in three have attempted suicide. Despite the serious implications, PMDD often goes under-diagnosed and mismanaged. To address this, researchers from the University of St Andrews, University of Glasgow, and University of the West of Scotland have developed a new model to aid healthcare professionals in understanding the relationship between PMDD and suicide risk. This model emphasizes the importance of menstrual cycle tracking, allowing for better risk assessment and patient interaction. The aim is to identify patterns of suicidality linked to hormonal fluctuations and improve care for those suffering from PMDD. The need for dedicated PMDD-specific suicide prevention interventions remains critical, as existing treatments may not adequately address the unique challenges faced by these individuals.
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The new model aims to enhance the understanding and management of PMDD in healthcare settings, potentially reducing suicide risk among affected individuals.
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