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Understanding the Temporal Dynamics of Problem Anger Using Sequence Analysis
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DOI：10.1037/emo0001240.png)
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摘要
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Problem anger is a common, and potentially destructive mental health issue in trauma-affected populations, affecting up to 30% of veteran and military populations. Problem anger is associated with a range of psychosocial and functional difficulties and elevated risk of harm to self and others. Increasingly, ecological momentary assessment (EMA) is being used to understand the microlevel dynamics of emotions, and this information is valuable to inform treatment approaches. Using a data-driven approach, we used sequence analysis to determine whether heterogeneity exists amongst veterans with problem anger using EMA-recorded experiences of anger intensity. Veterans with problem anger (N = 60; M-age = 40.28) completed 10 days of EMA with four prompts per day. We identified four subtypes of veterans within the data, whose anger intensity dynamics differed significantly, and the subtypes mapped onto macrolevel indicators of anger and well-being. Taken together, these results highlight the importance of microlevel investigations of mood states in clinical populations, and in some instances, the novel use of sequence analysis may be appropriate.
Keyword:
sequence analysis
anger
veteran
ecological momentary assessment
subtyping
