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Journal of Consulting and Clinical Psychology
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4.36
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7279
Papers 7249
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#1Tom L. Osborn (Harvard University)
#2Micaela Rodriguez (Harvard University)
Last. Christine Wasanga (KU: Kenyatta University)
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BACKGROUND: Adolescent depression and anxiety symptoms are prevalent in sub-Saharan African countries, yet treatment options are scarce, and stigma limits help-seeking. Brief, computerized single-session interventions (SSIs) that contain empirically supported stigma-reducing elements may help expand access to treatment. We developed and evaluated such an intervention for Kenyan adolescents. METHOD: High school students (N = 103, age 13-18) were randomized to a digital SSI Shamiri-Digital (Shamir...
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#1Jaime Delgadillo (University of Sheffield)H-Index: 12
#2Julian A. Rubel (University of Giessen)H-Index: 14
Last. Michael Barkham (University of Sheffield)H-Index: 63
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OBJECTIVE: Psychotherapy outcomes vary between therapists, but it is unclear how such information can be used for treatment planning or practice development. This proof-of-concept study aimed to develop a data-driven method to match patients to therapists. METHOD: We analyzed data from N = 4,849 patients who accessed cognitive-behavioral therapy in U.K. primary care services. The main outcome was posttreatment reliable and clinically significant improvement (RCSI) on the Patient Health Questionn...
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#1John E. Pachankis (Yale University)H-Index: 24
#2Stacey L. Williams (ETSU: East Tennessee State University)H-Index: 13
Last. Stephenie R. Chaudoir (College of the Holy Cross)H-Index: 17
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OBJECTIVE: To identify scalable interventions for improving sexual minority mental health and health-risk behavior, this study tested the efficacy of two self-guided online writing interventions-expressive writing and self-affirmation. To reach sexual minority young adults living in high-stigma, low-resource settings, we developed and tested these interventions in Appalachian Tennessee. METHOD: In consultation with sexual minority young adults (n = 10) and stakeholders (n = 10) living in Appalac...
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#1Paulo A. Graziano (FIU: Florida International University)H-Index: 20
#2Rosmary Ros-Demarize (MUSC: Medical University of South Carolina)
Last. Megan M. Hare (FIU: Florida International University)H-Index: 1
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OBJECTIVE: The current study examined the comparative efficacy of a more intensive version of Parent-Child Interaction Therapy (I-PCIT; 5 days/week over 2 weeks) versus a time-limited weekly PCIT format (1 day/week over 10 weeks) in treating early childhood externalizing behavior problems. METHOD: Using a randomized trial design, 60 young children (mean age [Mage] = 4.33 years; 65% male; 85% Latinx) with clinically elevated levels of externalizing behavior problems and their parents were assigne...
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#1Juan Martín Gómez Penedo (University of Bern)H-Index: 3
#2Alice E. Coyne (UMass: University of Massachusetts Amherst)H-Index: 5
Last. Martin Grosse Holtforth (University of Bern)H-Index: 50
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OBJECTIVE: This study aimed to identify differential patient change processes and mechanisms associated with long-term outcome in exposure-based cognitive therapy (EBCT) and cognitive-behavioral therapy (CBT) for depression. METHOD: We drew on a randomized controlled trial in which 149 patients were randomly assigned to either EBCT or CBT, with the treatments showing comparable efficacy at 12-month follow-up (grosse Holtforth et al., 2019). Based on Doss's (2004) 4-step model of psychotherapy ch...
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#1Lisa M. Anderson (UMN: University of Minnesota)H-Index: 8
#2Kathryn M Smith (SC: University of Southern California)
Last. Carol B. Peterson (UMN: University of Minnesota)H-Index: 31
view all 9 authors...
OBJECTIVE: The current study examined predictors and moderators of two interventions for binge-eating disorder (BED). METHOD: Participants were 112 adults with BED (Mage = 39.7 +/- 13.4 years; MBMI = 35.1 +/- 13.4 kg/m(2); 82% female; 91% Caucasian) randomly assigned to integrative cognitive-affective therapy for BED (ICAT-BED) or guided self-help cognitive-behavioral therapy (CBTgsh). Generalized linear models examined predictors and moderators of objective binge-eating episode (OBE) frequency ...
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#1Erik Forsell (KI: Karolinska Institutet)H-Index: 5
#2Nils Isacsson (KI: Karolinska Institutet)H-Index: 1
Last. Viktor Kaldo (KI: Karolinska Institutet)H-Index: 28
view all 8 authors...
OBJECTIVE: Therapist guided Internet-Delivered Cognitive Behavior Therapy (ICBT) is effective, but as in traditional CBT, not all patients improve, and clinicians generally fail to identify them early enough. We predict treatment failure in 12-week regular care ICBT for Depression, Panic disorder and Social anxiety disorder, using only patients' weekly symptom ratings to identify when the accuracy of predictions exceed 2 benchmarks: (a) chance, and (b) empirically derived clinician preferences f...
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OBJECTIVE: Irritable bowel syndrome (IBS) is a chronic disorder of brain-gut interaction. Previous studies suggest that mindfulness could be therapeutic for IBS patients, however no study has evaluated the effects of mindfulness-based cognitive therapy adapted for patients with IBS (MBCT-IBS). A 6-week MBCT-IBS course was designed to reduce symptoms and increase quality of life. This study aimed to evaluate the effects of MBCT-IBS and to investigate its therapeutic mechanisms in a randomized con...
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OBJECTIVE: Although low-income couples experience greater relationship challenges, they have limited access to effective relationship interventions. Furthermore, most previous efforts to improve low-income couples' relationships have yielded very small effects (Hawkins & Erickson, 2015). In an effort to overcome these limitations, this study investigated the effectiveness of 2 web-based interventions for low-income couples. METHOD: In total, 742 low-income couples (N = 1,484 individuals; mean [M...
2 CitationsSource
#1Andy P. SiddawayH-Index: 6
#1Andy P. Siddaway (Glas.: University of Glasgow)
Last. Derek de BeursH-Index: 12
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Machine learning (ML) is an increasingly popular approach/technique for analyzing “Big Data” and predicting risk behaviors and psychological problems. However, few published critiques of ML as an approach currently exist. We discuss some fundamental cautions and concerns with ML that are relevant when attempting to predict all clinical and forensic risk behaviors (risk to self, risk to others, risk from others) and mental health problems. We hope to provoke a healthy scientific debate to ensure ...
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