Dialectical behavior therapy (DBT) is an empirically supported behavioral treatment for individuals with borderline personality disorder who frequently exhibit life-threatening behavior, such as suicide attempts, nonsuicidal self-injury urges and actions, and suicidal ideation. We provide an overview of the theoretical framework by which DBT conceptualizes these life-threatening behaviors and the principles by which safety planning measures are implemented and maintained throughout treatment. The importance of orienting clients to treatment and obtaining their commitment to decrease life-threatening behavior is reviewed. Relevant strategies associated with risk management and assessment, such as the diary card, chain analysis, solution analysis, phone coaching, and consultation team, are described. The overview concludes with a case example to illustrate the application of these techniques with a DBT client with a long-standing history of engaging in life-threatening behaviors. Clinical Impact StatementQuestion: This article addresses how therapists engage clients in safety planning procedures for suicidal behavior in dialectical behavior therapy (DBT). Findings: Clinicians will learn about risk assessment and management strategies unique to DBT. Meaning: As a complex, evidence-and principle-based treatment, DBT is well-suited to reduce suicide attempts, self-injury, and suicidal ideation. Next Steps: Challenges to safety planning in DBT should be further explored in research and clinical practice.
Introduction: The prediction of affective experiences, also known as affective forecasting, is an integral component of individuals’ decision-making processes. Yet, research consistently demonstrates that affective forecasts (AF) and recollections (AR) are generally inaccurate. Recent research has demonstrated distinct patterns of AF/R bias related to psychopathology. This study examined the relationship between AF/R and features of Borderline Personality Disorder (BPD), anxiety, and depression using Valentine's Day as the target event. Methods: Undergraduate students (N=263; 33% white; 63% female; Mage=19.08) predicted their affective states a week before, and then reported their actual affective states on Valentine's Day and the two days after, and recalled Valentine's Day affect two days later. Results: Results indicate that higher BPD symptomatology predicted a significant overestimation of negative affect (B=.17, p=.02), even after controlling for anxiety and depression. Additionally, individuals’ levels of depressive, anxious, and BPD symptomatology were significant predictors of AF of positive affect when entered into regression analyses separately, however when entered together, only depressive symptoms remained significant. Specifically, higher depressive symptoms predicted a significant underestimation of positive affect (B= −.21, p=.01). Discussion: Results were in line with prior research indicating that unique patterns of AF biases are associated with symptoms of psychopathology. However, results failed to support prior research linking AR biases to symptoms of psychopathology. Implications for future studies of affective biases and psychopathology more generally are discussed.
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