Trial reportPsychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors2012
The moderating effects of group cognitive-behavioral therapy for depression among substance users.
Trial report in Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
3 citing papers in PubMed, 12 citations in OpenAlex.
- The effects of cognitive behavioural therapy on depression, anxiety, stress, and self-esteem in public health students, Thailand.Journal of education and health promotion · 2023Article
- A Multi-Site Cross-Sectional Study of Anxiety Symptoms and the Associated Factors Among Chinese Drug Users Undergoing Compulsory Detoxification Treatment.Frontiers in public health · 2021Article
- Association between physical pain and alcohol treatment outcomes: The mediating role of negative affect.Journal of consulting and clinical psychology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
This study examined the prospective longitudinal relationship between changes in depressive symptoms on alcohol and/or drug (i.e., substance) use among addiction participants in treatment, and whether group cognitive-behavioral therapy for depression (GCBT-D) moderated the relationship. Using a quasi-experimental intent-to-treat design, 299 residential addiction treatment clients with depressive symptoms (Beck Depression Inventory-II, BDI-II scores > 17; Beck, Steer, & Brown, 1996) were assigned to either usual care (n = 159) or usual care plus a 16-session GCBT-D intervention (n = 140). Two follow-up interviews were conducted, one 3 months after the baseline interview corresponding to the end of the intervention, and then one 3 months later. Parallel-process growth modeling was used to examine changes in depressive symptoms and the associated changes in abstinence and negative consequences from substance use over time. Treatment group was included as a moderator of the association. Participants in the GCBT-D condition showed a greater increase in abstinence and greater decreases in depressive symptoms and negative consequences over time. There were significant interaction effects, such that the associations between depressive symptoms, negative consequences, and abstinence changes were larger in the usual-care condition than in the GCBT-D condition. The results suggest that the intervention may be effective by attenuating the association between depressive symptoms and substance use outcomes. These findings contribute to the emerging literature on the prospective longitudinal associations between depressive symptoms and substance use changes by being the first to examine them among a sample receiving GCBT-D in an addiction treatment setting.
Indexed as
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.