Katharina Engel1, Martin Schaefer2, Anna Stickel3, Hennriette Binder4, Andreas Heinz1, Christoph Richter5. 1. Department of Psychiatry and Psychotherapy, Charité Campus-Mitte, Berlin, Germany. 2. Department of Psychiatry and Psychotherapy, Charité Campus-Mitte, Berlin, Germany Department of Psychiatry, Psychotherapy and Addiction Medicine, Kliniken Essen-Mitte, Essen, Germany. 3. Charité Comprehensive Cancer Center, Charité Campus-Mitte, Berlin, Germany. 4. Oberbaumstrasse 7, Berlin 10997, Germany. 5. Department of Psychiatry and Psychotherapy, Charité Campus-Mitte, Berlin, Germany Department of Psychiatry, Psychotherapy, Psychosomatic/Gerontopsychiatry, Vivantes, Wenckebach-Hospital, Berlin, Germany christoph.richter@vivantes.de.
Abstract
OBJECTIVE: The aim of this study was to identify if psychological distress may contribute to treatment outcome in alcohol-addicted patients during a follow-up period of 5 months after detoxification. METHODS: As part of a prospective, multicenter, randomized study in relapse prevention, patients' levels of psychological distress were assessed using the Symptome Checklist (SCL-90-R). At study inclusion, all patients were detoxified and showed no more withdrawal symptoms. The patients who relapsed during the 5-month follow-up period were compared with those who remained abstinent. Predictors for relapse were investigated in a logistic regression. RESULTS: First, a significant difference in initial psychological distress between patients who stayed abstinent and patients who relapsed was found: following detoxification, patients who relapsed scored significantly higher on the SCL-90-R at study inclusion. In addition, psychological distress differed over time in both groups. Second, patients without relapse showed a larger decrease in some SCL-90-R scales between the beginning and the end of the observation period than patients who relapsed. Third, the logistic regression analyses showed that high scores on the overall score GSI (Global Severity Index) of the SCL-90-R can be seen as a predictor for future relapse. CONCLUSION: The SCL-90-R may be a useful instrument to predict relapse. As our study indicates that high levels of psychological distress increases the risk of relapse, specific interventions may be targeted at this risk factor.
RCT Entities:
OBJECTIVE: The aim of this study was to identify if psychological distress may contribute to treatment outcome in alcohol-addictedpatients during a follow-up period of 5 months after detoxification. METHODS: As part of a prospective, multicenter, randomized study in relapse prevention, patients' levels of psychological distress were assessed using the Symptome Checklist (SCL-90-R). At study inclusion, all patients were detoxified and showed no more withdrawal symptoms. The patients who relapsed during the 5-month follow-up period were compared with those who remained abstinent. Predictors for relapse were investigated in a logistic regression. RESULTS: First, a significant difference in initial psychological distress between patients who stayed abstinent and patients who relapsed was found: following detoxification, patients who relapsed scored significantly higher on the SCL-90-R at study inclusion. In addition, psychological distress differed over time in both groups. Second, patients without relapse showed a larger decrease in some SCL-90-R scales between the beginning and the end of the observation period than patients who relapsed. Third, the logistic regression analyses showed that high scores on the overall score GSI (Global Severity Index) of the SCL-90-R can be seen as a predictor for future relapse. CONCLUSION: The SCL-90-R may be a useful instrument to predict relapse. As our study indicates that high levels of psychological distress increases the risk of relapse, specific interventions may be targeted at this risk factor.
Authors: Lucy Albertella; Mike E Le Pelley; Samuel R Chamberlain; Fred Westbrook; Leonardo F Fontenelle; Rebecca Segrave; Rico Lee; Daniel Pearson; Murat Yücel Journal: Psychol Addict Behav Date: 2019-06-20
Authors: Jon E Grant; Murat Yücel; Lucy Albertella; Samuel R Chamberlain; Mike E Le Pelley; Lisa-Marie Greenwood; Rico Sc Lee; Lauren Den Ouden; Rebecca A Segrave Journal: CNS Spectr Date: 2019-10-24 Impact factor: 3.790
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