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doi: 10.1002/jclp.22095
pmid: 24752837
This study investigated predictors of therapeutic outcomes for veterans who received treatment for dysregulated anger.Data are from a randomized controlled trial investigating the effectiveness of video teleconferencing compared to in-person delivery of anger management therapy (AMT) among 125 military veterans. Multilevel modeling was used to assess 2 types of predictors (demographic characteristics and mental health factors) of changes in anger symptoms after treatment.Results showed that while veterans benefited similarly from treatment across modalities, veterans who received two or more additional mental health services and who had longer commutes to care showed the greatest improvement on a composite measure of self-reported anger symptoms.Results highlight that veterans with a range of psychosocial and mental health characteristics benefited from AMT, while those receiving the most additional concurrent mental health services had better outcomes.
Adult, Male, Cognitive Behavioral Therapy, Anger, Middle Aged, Causality, Stress Disorders, Post-Traumatic, Treatment Outcome, Outcome Assessment, Health Care, Humans, Veterans
Adult, Male, Cognitive Behavioral Therapy, Anger, Middle Aged, Causality, Stress Disorders, Post-Traumatic, Treatment Outcome, Outcome Assessment, Health Care, Humans, Veterans
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |