Association of Reactivity of Explanatory Flexibility and Ruminative Brooding in a Mood-Priming Paradigm to Depressive Symptoms: Six Month Follow-Up Michael.

Slides:



Advertisements
Similar presentations
Attributions of Fathering Behaviors Among Adolescents: The Role of Depressive Symptoms, Ethnicity, and Family Structure Andrea K. Finlay 1, Jeffrey T.
Advertisements

Introduction Separation-individuation is a crucial developmental process by which adolescents establish self-other boundaries in the context of mutually-
A Computerized Measure of Regulatory Strength: Relations to Self-Discrepancies and Depressive Symptoms Erin N. Stevens, Nicole J. Holmberg, Christine R.
Initial Psychometric Properties of the Experiences Questionnaire Michael T. Moore, David M. Fresco, & Manfred H. M. van Dulmen, Kent State University,
Results PASAT Mood Manipulation PANAS Outcomes. Results of the ANCOVA with PANAS as the dependent variable revealed a significant main effect for mood.
Depressive Realism: A Meta-Analytic Review Michael T. Moore and David M. Fresco, Kent State University Depressive Realism: A Meta-Analytic Review Michael.
What Makes the Finger Point Internally? Predictors of Self-Blame/Guilt in Sexually Abused Boys and Girls ????? ???????? University of Nebraska-Lincoln.
Optimism in Women Reporting Relationship Abuse Histories Sarah L. Hastings & Trisha Nash Department of Psychology, Radford University, Radford, Virginia.
Relationship of explanatory flexibility and explanatory style to each other and to depression, anxiety, and emotion regulation Daniel Button, Michael T.
Insight into Attributional Style: A Replication and Extension Michael T. Moore & David M. Fresco, Kent State University Insight into Attributional Style:
Insight into Attributional Style: Implications for the Depressive Realism Hypothesis Michael T. Moore, David M. Fresco, & Emily A. P. Haigh, Kent State.
Self-Administered Optimism Training: Evidence for Mechanisms of Change in a Minimally Supervised Psychoeducational Intervention Michael T. Moore & David.
Signature Patterns of Emotion Regulation and Their Relationship to Depression and Anxiety Michael T. Moore & David M. Fresco, Kent State University, Robert.
Self-Administered Optimism Training: Evidence for Modality-Specific Mechanisms of Change in a Minimally Supervised Psychoeducational Intervention Michael.
The Discrepancy-Depression Association: Gender and Grade Differences Erin N. Stevens, M. C. Lovejoy, & Laura D. Pittman Northern Illinois University Introduction:
Does Mindfulness and Psychological Flexibility predict Somatization, Depression, Anxiety and General Psychological Distress in a Non-clinical Asian American.
Mindfulness-based cognitive therapy for generalized anxiety disorder Susan Evans a,,, Stephen Ferrando a, Marianne Findler a, Charles Stowell a, Colette.
TEMPLATE DESIGN © s.com Spirituality and Experiential Avoidance in Social Anxiety Benjamin Ramos, Elizabeth Mejia-Muñoz, Michael.
Social Anxiety and Depression Comorbidity Influences on Positive Alcohol Expectancies Amy K. Bacon, Hilary G. Casner, & Lindsay S. Ham University of Arkansas.
Psychological Explanations of Depression Aim: Can I outline TWO psychological explanations for depression? Can I evaluate TWO psychological explanations.
Click to edit Master subtitle style The Role of Attachment in brief group therapy for depression: An empirical study Dr Jo Wilson Professor Phil Richardson.
Psychometric Characteristics of the Pain Treatment Satisfaction Scale Robyn L. Walker 1, Michael E. Clark 1,2, Ronald J. Gironda 1,2 1 James A. Haley Veteran’s.
Environmentalism and Personality Simon Cohen Jeff Edgar Chris Latham-Warde Sanni Kujala.
RESILIENCE RESOURCES CONTRIBUTE TO BETTER HEALTH OUTCOMES AMONG RHEUMATOIC ARTHRITIS PATIENTS Kate E. Murray, B.A., Brendt P. Parrish, B.S., Mary C. Davis,
POSTER TEMPLATE BY: om Sex Differences in Associations between Fear of Negative Evaluation (FNE) and Substance Use Lesley A.
Moderation & Mediation
Introduction Neuropsychological Symptoms Scale The Neuropsychological Symptoms Scale (NSS; Dean, 2010) was designed for use in the clinical interview to.
OBJECTIVE These two studies were conducted to determine 1) in which settings optimistic AS helps and in which it impedes academic achievement (performance),
WHAT WE LEARNED In a clinically-referred, assisted living sample: 1.NAB Judgment (NAB-JDG) scores displayed good internal consistency reliability. 2.NAB-JDG.
Mindfulness as Predictor of Treatment Outcome in Cognitive Behavioral and Acceptance and Commitment Therapies Ethan Moitra, Maria del Mar Cabiya, Evan.
Purpose The present study examined the psychometric properties of the SCARED in order to begin establishing an evidence base for using the SCARED in pediatric.
Trends in Locus of Control Beliefs and Biosystemic Levels of Functioning in Inpatients with Serious Mental Illness Introduction Method Results Discussion.
Introduction The Coding subtests from the Wechsler scales are a commonly used portion of the Processing Speed Index. They are widely understood to measure.
The Effect of Negative Mood on Constructs Related to Compulsions By Gary Britton & Graham Davey.
Introduction Disordered eating continues to be a significant health concern for college women. Recent research shows it is on the rise among men. Media.
Psychological Distress and Recurrent Pain: Results from the 2002 NHIS Psychological Distress and Recurrent Pain: Results from the 2002 NHIS Loren Toussaint,
METHODS Sample: The Institute for Survey Research of Temple University conducted face-to-face interviews for the 1995 National Alcohol Survey (NAS). The.
Posttraumatic Stress Disorder and Body Image Distress in Victims of Physical and Sexual Assault Terri L. Weaver 1, Ph.D., Michael G. Griffin 2, Ph.D. and.
Gender differences in symptom reporting: the influence of psychological traits. Laura Goodwin Dr Stephen Fairclough Liverpool John Moores University BACKGROUND.
Self-Discrepancies and Depression: Abstract Reasoning Skills as a Moderator Erin N. Stevens, Christine Keeports, Nicole J. Holmberg, M. C. Lovejoy, Laura.
MethodIntroductionResults Discussion Factors Affecting Psychosocial Functioning in Serious Mental Illness and Implications for Treatment Jason E. Vogler,
1 Psychology 320: Gender Psychology Lecture Mental Health: 1. Are there sex differences in: (a) depression, (b) eating disorders, (c) personality.
Personally Important Posttraumatic Growth as a Predictor of Self-Esteem in Adolescents Leah McDiarmid, Kanako Taku Ph.D., & Aundreah Walenski Presented.
Tristen Hastings & Wendy Wolfe Method For further information, contact the first author undergraduate, Tristen Hastings at
The construct of effortful control encompasses an individual’s ability to focus and shift attention, inhibit undesirable approach behaviors, and perform.
 1,001 adolescent boys (47%) and girls (53%)  Fairly diverse: 58% Caucasian; 23% African American,12% Hispanic, 2% Asian, 5% Other  Age Range:
Table 1 Hierarchical Regression Predicting Drinking to Cope Note. Model 1: R 2 =.169, p
Borderline Personality Disorder
Two sides of optimism: The positive and negative consequences of dispositional optimism and optimistic attributional style Evgeny Osin (Higher School of.
The Role of Close Family Relationships in Predicting Multisystemic Therapy Outcome: An Investigation of Sex Differences ABSTRACT BACKGROUND: Multisystemic.
General and Feeding Specific Behavior Problems in a Community Sample of Children Amy J. Majewski, Kathryn S. Holman & W. Hobart Davies University of Wisconsin-Milwaukee.
1 Psychology 320: Gender Psychology Lecture Mental Health: 1. Are there sex differences in depression? (continued)
Perceived Risk and Emergency Preparedness: The Role of Self-Efficacy Jennifer E. Marceron, Cynthia A. Rohrbeck Department of Psychology, The George Washington.
Method Introduction Results Discussion Mean Negative Cigarette Systoli Previous research has reported that across the nation 29% of college students engage.
HYPOTHESES RESULTS CONT. Psychological Resilience: The Impact of Affectivity and Coping on State Anxiety and Positive Emotions During and After the Washington,
Fran Hite with Dr. Matt Gray Psychology Department University of Wyoming Honors Program.
Anxiety Sensitivity and Pain Catastrophizing: Distinct Factors in Predicting Pain Susan T. Heinze, Jamie L. Elftman, W. Hobart Davies University of Wisconsin-Milwaukee.
First year York University students responded to online questionnaires. In Study 1 (n = 285), their feelings about their financial situation, as well as.
Interaction of Time and Children on Distress (Fig. 2) After controlling for baseline IESR, the main effect of children on IESR at 5-month follow up was.
Wendy L. Wolfe, Kaitlyn Patterson, & Hannah Towhey
Kaitlyn Patterson & Wendy Wolfe
Optimism is Weakly and Not Significantly Related to Decision Making
Wendy Wolfe & Kaitlyn Patterson
Frank L. Gardner PhD, Meredith Story MA and Justine Benedicks BA
Discussion and Next Steps
Evaluation of Ethiology
Brittney L. Assavedo, B.S. & Michael D. Anestis, Ph.D.
2University of Virginia
The Resiliency Scale for Young Adults Revisited
Purpose and Hypothesis
Presentation transcript:

Association of Reactivity of Explanatory Flexibility and Ruminative Brooding in a Mood-Priming Paradigm to Depressive Symptoms: Six Month Follow-Up Michael T. Moore & David M. Fresco, Kent State University ABSTRACT Current thinking in the area of depressogenic attributional style posits that this class of cognitive vulnerability factor is latent until activated by stressful life events or temporary negative mood states (Persons & Miranda, 1992). Research has shown that attributional style, measured when primed, and negative life events are better predictors of depressed mood several days later than either alone, or unprimed attributional style (Abela & Brozina, 20034). The current investigation sought to evaluate the hypothesis of whether the interaction between both cognitive reactivity (of explanatory flexibility and ruminative brooding) after a mood priming challenge and intervening negative life events can predict depressed mood assessed six months after the mood prime. Participants were given measures of depressive symptoms both before and after a negative mood prime that prior research has shown capable of inducing temporary negative affect (Segal, et al., 1998). These same participants were then followed-up six months later and given the same measures of depressive symptoms. The interaction of the reactivity of explanatory flexibility to the mood prime and negative life events significantly predicted depressive symptoms at follow-up, and approached Cohen’s (1992) convention for a large effect ( f2 =.28). The interaction of the reactivity of ruminative brooding did not significantly predict depressive symptoms, however this finding corresponded to a medium effect ( f2 =.11). INTRODUCTION Explanatory flexibility and pessimistic brooding represent recent advancements from two well-established cognitive behavioral theories of depression. Explanatory flexibility refers to how flexible or rigid individuals are at assigning causes to events (Fresco & Craighead, 2003). Individuals who view each situation separately and contextually are regarded as flexible. Fresco and Craighead (2003) operationalized explanatory flexibility as the standard deviation of an individual’s responses to the stable and global items for negative events from the Attributional Style Questionnaire (ASQ; Peterson et al., 1982). A large standard deviation represents flexibility whereas a small standard deviation represents rigidity. In this way, explanatory flexibility arises from the theoretical tradition of the learned helplessness and hopelessness theories of depression (Abramson et al., 1978; 1989) and is conceptually related to–but statistically distinct from explanatory style (the tendency to see negative events arising from internal, stable and global causes). Depressive rumination is the tendency to focus attention perseveratively on the causes, experience, and consequences of depressed mood and has been associated with the onset (Just & Alloy, 1997), course (Kuehner & Weber, 1999), and duration of depressed mood (Just & Alloy, 1997). Brooding represents a psychometric refinement of depressive rumination to address concerns that earlier factor solutions were confounded with the measurement of depressive symptomatology. Treynor, Gonzalez, and Nolen-Hoeksema (2003) eliminated items from the rumination subscale of the Response Styles Questionnaire related to the symptoms of depression and developed a non-affectively confounded two-factor (brooding and pondering) solution for the RSQ in which brooding was shown to be more strongly associated with depressed mood than was pondering. The factor structure was subsequently replicated using exploratory and confirmatory factor analysis in both general college student and a college student sample of individuals endorsing cognitive vulnerability to depression (Fresco et al., 2004). Support for the brooding and pondering solution was also found in a sample of currently and previously depressed adults (Haigh et al., 2004). A preliminary version of the current study (Fresco et al., 2003) examined the effects of an emotion evocation challenge on these two constructs before and immediately after mood induction and six weeks later. The sample consisted of 59 college students, 18 of whom met diagnostic criteria for major depressive disorder or generalized anxiety disorder. Findings revealed that mood reactivity irrespective of diagnostic status was associated with reduced explanatory flexibility but not with higher brooding scores following the emotion evocation challenge. Rather, brooding scores remained stable as a function of the mood priming challenge. Further, residual change in explanatory flexibility and post-induction brooding significantly predicted subsequent levels of depression symptoms. Also, residual change in explanatory flexibility moderated the association of intervening negative life events and subsequent depression. The current investigation sought to further extend the findings of Fresco, Moore et al. (2003) by assessing the association between reactivity in explanatory flexibility and brooding to mood in this six-month follow-up. METHODS Participants 59 undergraduate students 31% male, 69% female Participants ranged from years of age (M = 19.23, SD = 1.73) Measures Attributional Style Questionnaire (ASQ; Peterson, et al., 1982) Beck Depression Inventory (BDI; Beck, Rush, Shaw, & Emery, 1979) Life Experiences Survey (LES; Sarason, Johnson, & Siegel, 1978) Response Styles Questionnaire (RSQ; Nolen-Hoeksema & Morrow, 1991) DISCUSSION These findings support our hypothesis that reactivity in explanatory flexibility and brooding following an emotion evocation challenge is predictive of subsequent depressive symptoms: Individuals who become rigid in their ability to explain causes to events in their lives in response to negative mood are more likely to develop more long- term depressive symptoms when faced with negative life events Individuals who tend to maladaptively ruminate in response to negative mood are also more likely to develop depressive symptoms when faced with negative life events Use of emotion evocation challenges may represent a psychological “stress test” useful in identifying individuals vulnerable to future emotional upheaval Limitations Participants consisted of relatively high- functioning college students, resulting in uncertain generalizability to the general public Attrition between the mood induction and follow-up assessment resulted in small sample size and questionable external validity Future Studies Replicating the current study utilizing a more representative population RESULTS A series of two hierarchical, set-wise regression analysis were conducted to assess the relationship of explanatory and brooding reactivity, intervening negative life events, and their interaction, to levels of depressive symptoms at follow-up. In regression 1, depressive symptoms at follow-up served as the dependent variable, while pre-induction depressive symptoms (entered in Step 1), residual change in explanatory flexibility from pre- to post-mood induction (Step 2), intervening negative life events (Step 3), and the interaction between flexibility and negative life events (Step 4) served as predictors. The residual flexibility x negative life events interaction significantly added to the prediction of depressive symptoms, ΔF(1,19) = 5.37, p =.03, f 2 =.28, and approached the convention for a large effect In regression 2, depressive symptoms at follow-up again served as the dependent variable, while pre-induction depressive symptoms (Step 1), post-induction brooding (Step 2), intervening negative life events (Step 3), and the interaction between brooding and negative life events (Step 4) served as predictors. The results are as follows: Although the post-induction brooding x negative life events interaction did not significantly add to the prediction of depressive symptoms, ΔF(1,19) = 1.41, ns, f 2 =.10, the effect size approached the convention for a medium effect Analysis of Partial Variance was again utilized to interpret the post-induction brooding x negative life events interaction, again examining residual change in depression as the criterion and High and Low Brooding and Negative Life Events as the predictor variables. RESULTS A series of two hierarchical, set-wise regression analysis were conducted to assess the relationship of explanatory and brooding reactivity, intervening negative life events, and their interaction, to levels of depressive symptoms at follow-up. In regression 1, depressive symptoms at follow-up served as the dependent variable, while pre-induction depressive symptoms (entered in Step 1), residual change in explanatory flexibility from pre- to post-mood induction (Step 2), intervening negative life events (Step 3), and the interaction between flexibility and negative life events (Step 4) served as predictors. The residual flexibility x negative life events interaction significantly added to the prediction of depressive symptoms, ΔF(1,19) = 5.37, p =.03, f 2 =.28, and approached the convention for a large effect In regression 2, depressive symptoms at follow-up again served as the dependent variable, while pre-induction depressive symptoms (Step 1), post-induction brooding (Step 2), intervening negative life events (Step 3), and the interaction between brooding and negative life events (Step 4) served as predictors. The results are as follows: Although the post-induction brooding x negative life events interaction did not significantly add to the prediction of depressive symptoms, ΔF(1,19) = 1.41, ns, f 2 =.10, the effect size approached the convention for a medium effect Analysis of Partial Variance was again utilized to interpret the post-induction brooding x negative life events interaction, again examining residual change in depression as the criterion and High and Low Brooding and Negative Life Events as the predictor variables. REFERENCES Abela, J. R. Z. & Brozina, K. (2004). The use of negative events to prime cognitive vulnerability to depression. Cognitive Therapy and Research, 28, Abramson, L. Y., Seligman, M. E. P., & Teasdale, J. D. (1978). Learned helplessness in humans: Critique and reformulation. Journal of Abnormal Psychology, 87, Abramson, L. Y., Metalsky, G. I., & Alloy, L. B. (1989). Hopelessness depression: A theory-based subtype of depression. Psychological Bulletin, 96, Beck, A. T., Rush, A. J., Shaw, B. F., & Emery, G. (1979). Cognitive therapy of depression. New York: Guilford. Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences. Mahwah, NJ: Erlbaum. Cohen, J. (1992). A power primer. Psychological Bulletin, 112, Fresco, D. M., Armey, M., Menin, D. S., Turk, C. L., Heimberg, R. G., Alloy, L. B., & Spasojevic, J. (2004). Brooding and pondering: Isolating the active ingredients of depressive rumination with Confirmatory Factor Analysis and Structural Equation Modeling. Unpublished manuscript, Kent State University, Kent, OH. Fresco, D. M. & Craighead, L. W. (2003). Explanatory flexibility: A cognitive process counterpart to explanatory style. Manuscript under review. Fresco, D. M., Moore, M. T., Ostrowski, S., & Armey, M. (2003, October). Association of explanatory flexibility and ruminative brooding to generalized anxiety disorder and major depressive disorder in a mood-priming paradigm. A poster presented at the annual meeting of the Society for Research in Psychopathology, Toronto, Ontario, CA. Haigh, E. A. P., Armey, M., Fresco, D. M., Auerbach, R., Abela, J. R. Z. (2004, November). Brooding and Pondering: Isolating the Active Ingredients of Depressive Rumination with Confirmatory Factor Analysis in an Adult Clinical Sample. A poster presented at the annual meeting of the Association for Advancement of Behavior Therapy, New Orleans, LA. Just, N. & Alloy, L. B. (1997). The response styles theory of depression: Tests and an extension of the theory. Journal of Abnormal Psychology, 106, Kuehner, C. & Weber, I. (1999). Responses to depression in unipolar depressed patients: An investigation of Nolen-Hoeksema’s response styles theory. Psychological Medecine, 29, Nolen-Hoeksema, S., & Morrow, J. (1991). A prospective study of depression and posttraumatic stress symptoms after a natural disaster: The 1989 Loma Prieta earthquake. Journal of Personality and Social Psychology, 61, Persons, J. B. & Miranda, J. (1992). Cognitive theories of vulnerability to depression: Reconciling negative evidence. Cognitive Therapy and Research, 16, Peterson, C., Semmel, A., Von Baeyer, C., Abramson, L. Y., Metalsky, G. I., & Seligman, M. E. P. (1982). The Attributional Style Questionnaire. Cognitive Therapy and Research, 6, Sarason, I. G., Johnson, J. H., & Siegal, J. M. (1978). Assessing the impact of life changes: Development of the Life Experience Survey. Journal of Consulting and Clinical Psychology, 46, Treynor, W. F. C., Gonzalez, R., & Nolen-Hoeksema, S. (2003). Rumination reconsidered: A psychometric analysis. Cognitive Therapy and Research, 27,