Literature DB >> 26112398

Emphasizing Malleability in the biology of depression: Durable effects on perceived agency and prognostic pessimism.

Matthew S Lebowitz1, Woo-kyoung Ahn2.   

Abstract

Biological attributions for depression, which are currently ascendant, can lead to prognostic pessimism-the perception that symptoms are relatively immutable and unlikely to abate (Kvaale, Haslam, & Gottdiener, 2013; Lebowitz, Ahn, & Nolen-Hoeksema, 2013). Among symptomatic individuals, this may have important clinical ramifications, as reduced confidence in one's own ability to overcome depression carries the risk of becoming a self-fulfilling prophecy. Previous research (Lebowitz, Ahn, et al., 2013) has demonstrated that educational interventions teaching symptomatic individuals about how the effects of genetic and neurobiological factors involved in depression are malleable and can be modified by experiences and environmental factors can reduce prognostic pessimism. While previous research demonstrated such effects only in the immediate term, the present research extends these findings by testing whether such benefits persist six weeks after the intervention. Indeed, among individuals who initially considered biological factors to play a major role in influencing their levels of depression, exposure to malleability-focused psychoeducation reduced levels of depression-related prognostic pessimism and stronger belief in their ability to regulate their moods. Critically, this benefit persisted six weeks after the intervention. Clinical implications of the findings are discussed.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Agency; Biological explanations; Depression; Prognostic pessimism; Psychoeducation

Mesh:

Year:  2015        PMID: 26112398      PMCID: PMC4501891          DOI: 10.1016/j.brat.2015.06.005

Source DB:  PubMed          Journal:  Behav Res Ther        ISSN: 0005-7967


  20 in total

1.  Measuring generalized expectancies for negative mood regulation: initial scale development and implications.

Authors:  S J Catanzaro; J Mearns
Journal:  J Pers Assess       Date:  1990

2.  Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations.

Authors:  Andrew F Hayes; Jörg Matthes
Journal:  Behav Res Methods       Date:  2009-08

3.  Genetic essentialism, neuroessentialism, and stigma: commentary on Dar-Nimrod and Heine (2011).

Authors:  Nick Haslam
Journal:  Psychol Bull       Date:  2011-09       Impact factor: 17.737

Review 4.  Are patient expectations still relevant for psychotherapy process and outcome?

Authors:  Roger P Greenberg; Michael J Constantino; Noah Bruce
Journal:  Clin Psychol Rev       Date:  2006-10

Review 5.  Does how you do depend on how you think you'll do? A systematic review of the evidence for a relation between patients' recovery expectations and health outcomes.

Authors:  M V Mondloch; D C Cole; J W Frank
Journal:  CMAJ       Date:  2001-07-24       Impact factor: 8.262

6.  Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?

Authors:  Michael Buhrmester; Tracy Kwang; Samuel D Gosling
Journal:  Perspect Psychol Sci       Date:  2011-02-03

7.  Fixable or fate? Perceptions of the biology of depression.

Authors:  Matthew S Lebowitz; Woo-Kyoung Ahn; Susan Nolen-Hoeksema
Journal:  J Consult Clin Psychol       Date:  2013-02-04

Review 8.  The biomedical model of mental disorder: a critical analysis of its validity, utility, and effects on psychotherapy research.

Authors:  Brett J Deacon
Journal:  Clin Psychol Rev       Date:  2013-04-08

Review 9.  How psychotherapy changes the brain--the contribution of functional neuroimaging.

Authors:  D E J Linden
Journal:  Mol Psychiatry       Date:  2006-06       Impact factor: 15.992

10.  The effects of learning about one's own genetic susceptibility to alcoholism: a randomized experiment.

Authors:  Ilan Dar-Nimrod; Miron Zuckerman; Paul R Duberstein
Journal:  Genet Med       Date:  2012-08-30       Impact factor: 8.822

View more
  7 in total

1.  The desire to belong: Social identification as a predictor of treatment outcome in social anxiety disorder.

Authors:  Alicia E Meuret; Michael Chmielewski; Ashton M Steele; David Rosenfield; Sibylle Petersen; Jasper A J Smits; Naomi M Simon; Michael W Otto; Luana Marques; Mark H Pollack; Stefan G Hofmann
Journal:  Behav Res Ther       Date:  2016-04-02

2.  Testing positive for a genetic predisposition to depression magnifies retrospective memory for depressive symptoms.

Authors:  Matthew S Lebowitz; Woo-Kyoung Ahn
Journal:  J Consult Clin Psychol       Date:  2017-11

3.  An experiment assessing effects of personalized feedback about genetic susceptibility to obesity on attitudes towards diet and exercise.

Authors:  Woo-Kyoung Ahn; Matthew S Lebowitz
Journal:  Appetite       Date:  2017-08-31       Impact factor: 3.868

4.  Blue Genes? Understanding and Mitigating Negative Consequences of Personalized Information about Genetic Risk for Depression.

Authors:  Matthew S Lebowitz; Woo-Kyoung Ahn
Journal:  J Genet Couns       Date:  2017-08-07       Impact factor: 2.537

Review 5.  Biomedical Explanations of Psychopathology and Their Implications for Attitudes and Beliefs About Mental Disorders.

Authors:  Matthew S Lebowitz; Paul S Appelbaum
Journal:  Annu Rev Clin Psychol       Date:  2018-11-16       Impact factor: 18.561

6.  Expectations and Preferences for Psychotherapy Among African American and White Young Adults.

Authors:  Nora E Charles; Taylor R Rodriguez; Margaret R Bullerjahn; LaQuitta Simpson; Latisha M Swygert; Jacob A Finn; Joye C Anestis
Journal:  J Racial Ethn Health Disparities       Date:  2020-07-29

7.  Relationships of biomedical beliefs about depression to treatment-related expectancies in a treatment-seeking sample.

Authors:  Matthew S Lebowitz; Tohar Dolev-Amit; Sigal Zilcha-Mano
Journal:  Psychotherapy (Chic)       Date:  2021-02-04
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.