Effectiveness of Group CBT with Memory Specificity Training and Self-Distancing in Moderately Depressed Adults   Peter John Sabatelli PhD Clinical Psychology.

Slides:



Advertisements
Similar presentations
Heppner et al. Chap 12, 18 Hogg & Deffenbacher (1988)
Advertisements

Staying well after depression (SWAD) CI Professor Mark Williams PI Professor Ian Russell Sholto Radford Research Officer
Age Differences in Autobiographical Memory Specificity: It’s Not Just About Cognition Lisa Emery & Meagan Griffin Reprints may be obtained at agelabs.appstate.edu.
Chapter 9 - Lecture 2 Some more theory and alternative problem formats. (These are problem formats more likely to appear on exams. Most of your time in.
Chapter 9 - Lecture 2 Computing the analysis of variance for simple experiments (single factor, unrelated groups experiments).
Maria Cristina Matteucci, Dina Guglielmi
Chapter 9 - Lecture 2 Computing the analysis of variance for simple experiments (single factor, unrelated groups experiments).
Educational Research by John W. Creswell. Copyright © 2002 by Pearson Education. All rights reserved. Slide 1 Chapter 8 Analyzing and Interpreting Quantitative.
C82MCP Diploma Statistics School of Psychology University of Nottingham 1 Linear Regression and Linear Prediction Predicting the score on one variable.
TEMPLATE DESIGN © s.com Spirituality and Experiential Avoidance in Social Anxiety Benjamin Ramos, Elizabeth Mejia-Muñoz, Michael.
The value in values: Relationships between personal values, and depressed mood and subjective wellbeing Aaron Jarden jarden.co.nz Research Goal.
Inferential Statistics
Researcher Perspective Talk: Modelling developmental processes Vaso Totsika CEDAR.
Client and therapist attachment styles and the working alliance Annily Seymour-Hyde, Katherine Berry and Alison Harris University of Manchester Greater.
Basic Statistics Michael Hylin. Scientific Method Start w/ a question Gather information and resources (observe) Form hypothesis Perform experiment and.
Treatment for Adolescents With Depression Study (TADS)
Which Test Do I Use? Statistics for Two Group Experiments The Chi Square Test The t Test Analyzing Multiple Groups and Factorial Experiments Analysis of.
Tristen Hastings & Wendy Wolfe Method For further information, contact the first author at The Effects of Reflective Processing.
Functional Impairment and Depressive Symptoms: Mitigating Effects of Trait Hope Jameson K. Hirsch, Ph.D. 1,2, S. Kaye, B.S. 1, & Jeffrey M. Lyness, M.D.
Parametric tests (independent t- test and paired t-test & ANOVA) Dr. Omar Al Jadaan.
Background Treatment fidelity in group based parent training: Predicting change in parent and child behaviour Dr. Catrin Eames, Bangor University, UK
Heppner et al. Chap 12, 18 Hogg & Deffenbacher (1988)
Three Broad Purposes of Quantitative Research 1. Description 2. Theory Testing 3. Theory Generation.
CHAPTER OVERVIEW Say Hello to Inferential Statistics The Idea of Statistical Significance Significance Versus Meaningfulness Meta-analysis.
Tristen Hastings & Wendy Wolfe Method For further information, contact the first author undergraduate, Tristen Hastings at
Middle Step An evolving best practice model addressing the emotional needs of people with sight loss Carl Freeman Health and Social Care Policy Manager.
ALISON BOWLING MODERATION AND MEDIATION IN REGRESSION.
Statistics (cont.) Psych 231: Research Methods in Psychology.
Analysis, Interpretation and Reporting Portfolio
Psychology research methods– Analysis Portfolio Taylor Rodgers B
Inferential Statistics Psych 231: Research Methods in Psychology.
Chapter 6 Conducting Research in Clinical Psychology.
Chapter 8 Introducing Inferential Statistics.
The Relationship between Nature Relatedness, Trait Emotional Intelligence and Well-Being Priscilla R. Gerofsky Supervisors: Philip A. Vernon, Ph.D. &
State of the Science in Functional Family Therapy
STUDENT ENGAGEMENT AND READING SCORES IN SOUTH AFRICA
Lecture 8 Complex Experimental Designs
Hypothesis Testing.
TEXILA AMERICAN UNIVERSITY
Blessing Marandure, DeMontfort University
Inferential Statistics
OCD Research in the Lab: A Research Pathway for Psychological Models
Introduction.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Spring 2018 Room 150 Harvill Building 9:00 - 9:50 Mondays, Wednesdays.
Physics- atmospheric Sciences (PAS) - Room 201
Comparing Several Means: ANOVA
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2016 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Last class Tutorial 1 Census Overview
Testing the Attachment Theory of Parent-Child Interaction Therapy Erin Floyd and Sheila Eyberg Department of Clinical and Health Psychology University.
Attachment Dependency
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
UNDERSTANDING RESEARCH RESULTS: STATISTICAL INFERENCE
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2018 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Statistics for the Social Sciences
Inferential Statistics
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Factorial Designs Factorial design: a research design that includes two or more factors (Independent Variables) A two-factor design has two IVs. Example:
Participants, Measurement & Study Design
Analyzing and Interpreting Quantitative Data
Statistical Inference for the Mean: t-test
Misc Internal Validity Scenarios External Validity Construct Validity
The Role of Rumination in Depression
Self-Compassion as a Moderator of the Relationship Between Cognitive Fusion and Anxiety in College Students Shannon B. Underwood, Eric D. Tifft, Glenn.
Presentation transcript:

Effectiveness of Group CBT with Memory Specificity Training and Self-Distancing in Moderately Depressed Adults   Peter John Sabatelli PhD Clinical Psychology Student Texila American University psabatelli@btinternet.com

Group A v Group B: main findings Summary Group A v Group B: main findings Statistically significant with large effect sizes Clinically significant Rumination : mediator for memory specificity Mood improved by AMS via rumination SD enhanced both CBT and MEST Limitations Future research

So What? Stagnation in CBT outcomes for depression (Johnsen & Friborg, 2015) Neshat-Doost et al, 2013, p 7 and Dalgleish et al, 2014, p 8, suggested using MEST as an adjunct with CBT. Kross and Ayduk, 2011, p 189; Kross et al, 2012, p566, suggested using SD with depressed adults, under a ‘’variety of conditions’’ UK participants, not done.

Background OGM: recurrence, increased severity and duration of depression (Williams et al.,2007) AMS: improves depression; reduces vulnerability to relapse (Raes et al., 2009) Self-memory system & CarFAX model MEST studies: Raes et al., 2009; Neshat-Doost et al., 2013; Eigenhuis et al., 2015 Limitations and suggestions

Background cont. FA Knowledge e.g problem solving Capture & Rumination AMS OGM Capture & Rumination Conway, & Playdell-Pearce, 2000) Functional Avoidance-FA FA Suppression (Williams et al., 2007)

Background cont Step back, observer perspective in recalling memories Distancing Step back, observer perspective in recalling memories Memories broad, less detailed Emotions dulled (Williams & Moulds, 2008) Reconstrue Distancing allows broader perspective to be taken Reflection led to active coping( Marroquin et al., 2010) Adaptive explanation, understanding, meaning, insight and sense of closure (Kross et al., 2012; 2014; Kross & Ayduk, 2008, 209, 2011). Emotional Regulation Current & future distress reduced less rumination (Kross & Ayduk, 2008) more problem-solving behaviour (Ayduk & Kross, 2010) and improved mood (Kross, Gard, Deldin, Clifton and Ayduk, 2012).

Psychological Distance Background cont. Psychological Distance Small (Spatial & Temporal) Large Low Construal Level High Concrete, superficial, Abstract, simple, complicated, unrelated primary, neutral, to goals, corresponds related to high to ‘’how’’ questions, goals, correspond contextual to ‘’why’’ type questions; out of context (Trope & Liberman, 2010)

Methodology Ethical approval (BPS, 2014) Mixed group design: 2 x 3 Independent variables : Treatments & Time Dependent variables: AMS, BDI-II, RRS, PSI & WBSI Inclusion and exclusion criteria Recruited via advertisements plus screening Consent obtained & 120 randomised

Results RMANOVA significant result Table 1   Univariate ANOVA: between group results for each dependent variable at post-treatment  ---------------------------------------------------------------------------------------------------------- Hypothesis DV df = F p partial η2 ---------------------------------------------------------------------------------------------------------- One AMS (1, 108) = 16.251, < .0001 .131 Two BDI-II (1, 108) = 406.635 < .0001 .790 Three RRS, (1, 108) = 167.380 < .0001 .608 Four PSI (1, 108) = 258.547 < .0001 .705 Five WBSI (1, 108) = 280.693 < .0001 .722 -----------------------------------------------------------------------------------------------------------  DV=dependent variable; df= degrees of freedom; F= distribution; p = significance level

Results cont. Table 2   Univariate ANOVA: between group results for each dependent variable at three month FU -------------------------------------------------------------------------------------------------------------  Hypothesis DV df = F p partial η2 One AMS (1, 108) = 44.619 < .0001 .292 Two BDI-II (1, 108) = 472.582 < .0001 .879 Three RRS, (1, 108) = 516.389 < .0001 .789 Four PSI (1, 108) = 1101.846 < .0001 .911 Five WBSI (1, 108) = 617.685 < .0001 .851  DV=dependent variable; df= degrees of freedom; F= distribution; p = significance level Independent t-test results: group A significant on all DV’s

Results cont. Multiple regression analysis: the overall model was significant, F (3, 106) = 22.139, p < .001, R2 = .385, accounting for 38.5% of the variance Multiple regression analysis: The overall model was significant, F (4, 105) = 301.059, p < .001, R2 = .920, accounting for 92% of the variance.   Clinical significant for group A- see table 3 Group Pre: BDI-II Post: BDI-II 3mth FU Change 99%CI:Clinical Significance -------------------------------------------------------------------------------------------------------------- A 26.3 8.2 18.1 13.59 (achieved) 3.7 22.6 13.59 (achieved) B 26 14 12 13.59 (not achieved) 10.6 15.4 13.59 (achieved) ---------------------------------------------------------------------------------------------------------------  Note: input used- SD=11.8, test-retest=0.90 (Steer et al., 1999); (Devilly, 2004) . http://www.swin.edu.au/victims

Discussion Hypothesis one to six: null rejected, alternative accepted Confirmed Raes et al., 2009 findings for AMS Greater AMS scores achieved in Group A compared to previous MEST studies. SD may have facilitated AMS recall in MEST. Greater improved BDI-II and RRS, PSI, WBSI scores achieved in Group A compared group B. SD may have enhanced cognitive reframing in CBT and enhanced CBT overall. Clarifies that mood improvement found in previous MEST studies, may have been due to a AMS reciprocal relationship with RRS  

Conclusion Addressed need to enhance contemporary CBT by expanding the work of previous researchers in the area of MEST for depression and self-distancing (SD) Group CBT with MEST and SD is feasible and more effective than group CBT with MEST and possibly group CBT for depression over seven sessions with three month follow-up The treatment was ‘’scalable’’, cost effective may reduce one risk factor OGM’s that is associated depression relapse Limitations and future research

Key references Conway, M.A. & Pleydell-Pearce, C.W. (2000). The construction of autobiographical   memories in the self-memory system. Psychological Review, 107, 261–88. doi: 10.1037//0033-295X. 107.2.261 Johnsen, T. J., & Friborg, O. (2015, May 11). The Effects of Cognitive Behavioral Therapy As an Anti-Depressive Treatment is Falling: A Meta-Analysis. Psychological Bulletin. Advance online publication. doi:org/10.1037/bul Sumner, J.A., Griffith, J.W., & Mineka, S. (2010). Overgeneral autobiographical memory as a predictor of the course of depression: A meta-analysis. Behaviour Research Therapy, 48, 614–625. doi: 10.1016/j.brat.2010.03.013 Williams, J.M.G., Barnhofer, T., Crane, C., Herman, D., Raes, F., Watkins, E., & Dalgleish, T. (2007). Autobiographical memory specificity and emotional disorder. Psychological Bulletin, 133,:122–148. doi:  10.1037/0033-2909.133.1.122