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A text mining approach to characterizing interpersonal stress among individuals with a nonsuicidal self-injury history

Current Psychology(2024)

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Abstract
Interpersonal difficulties are salient among those with a history of NSSI, preceding NSSI urges and behaviors. Yet, limited research has focused on identifying which aspects of interpersonal stress may confer risk for NSSI. The current study aimed to leverage data from two samples (combined n = 206; n = 114 with NSSI history) of participant-driven interviews regarding a recent interpersonal stressor to enhance the field’s knowledge of interpersonal difficulties in relation to NSSI risk. Using topic modeling to extract thematic information, analyses identified four main topics: daily difficulties; family members; adjectives/verbal fillers; and friendship/romantic relationships. Relationships between the topics and three predictors (i.e., NSSI history, emotion dysregulation, sample) were examined. In one sample, the proportion of ‘adjectives/verbal fillers’ was greater for participants with a NSSI history and at higher levels of emotion dysregulation. Across samples, for participants with a NSSI history, ‘adjectives/verbal fillers’ and ‘friendship/romantic partners’ increased with levels of emotion dysregulation. Findings highlight a greater use of adjectives and verbal fillers among individuals with a history of NSSI and higher levels of emotion dysregulation. This pattern of language may serve as an indicator of a specific aspect of emotion regulation difficulties that confers risk for NSSI.
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Key words
Interpersonal difficulties,Emotion dysregulation,Text mining,Topic modeling
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