Literature DB >> 20660470

Posttraumatic maladaptive beliefs scale: evolution of the personal beliefs and reactions scale.

Dawne S Vogt1, Jillian C Shipherd, Patricia A Resick.   

Abstract

The posttraumatic maladaptive beliefs scale (PMBS) was developed to measure maladaptive beliefs about current life circumstances that may occur following trauma exposure. This scale assesses maladaptive beliefs within three domains: (a) threat of harm, (b) self-worth and judgment, and (c) reliability and trustworthiness of others. Items for the PMBS were drawn from a larger preexisting measure that assesses a wide range of personal beliefs and reactions associated with trauma exposure. The construct validity of the PMBS was assessed in two independent samples of interpersonal trauma survivors. This article provides data to support the reliability and validity of the PMBS as an instrument to assess general, rather than trauma-specific, maladaptive beliefs that have relevance for functioning in the aftermath of a traumatic event. Moreover, the measure is sensitive to changes that occur in treatment, and the length of the measure (15 items) is practical for use in clinical settings.

Entities:  

Mesh:

Year:  2010        PMID: 20660470     DOI: 10.1177/1073191110376161

Source DB:  PubMed          Journal:  Assessment        ISSN: 1073-1911


  10 in total

1.  Risk for Revictimization Following Interpersonal and Noninterpersonal Trauma: Clarifying the Role of Posttraumatic Stress Symptoms and Trauma-Related Cognitions.

Authors:  Anna E Jaffe; David DiLillo; Kim L Gratz; Terri L Messman-Moore
Journal:  J Trauma Stress       Date:  2019-02-12

2.  Trauma cognitions are related to symptoms up to 10 years after cognitive behavioral treatment for posttraumatic stress disorder.

Authors:  Christine D Scher; Michael K Suvak; Patricia A Resick
Journal:  Psychol Trauma       Date:  2017-02-09

Review 3.  Psychological mechanisms of effective cognitive-behavioral treatments for PTSD.

Authors:  Alyson K Zalta
Journal:  Curr Psychiatry Rep       Date:  2015-04       Impact factor: 5.285

4.  Personalized normative feedback for hazardous drinking among college women: Differential outcomes by history of incapacitated rape.

Authors:  Anna E Jaffe; Jessica A Blayney; Scott Graupensperger; Cynthia A Stappenbeck; Michele Bedard-Gilligan; Mary Larimer
Journal:  Psychol Addict Behav       Date:  2021-08-26

5.  Cognitive change predicts symptom reduction with cognitive therapy for posttraumatic stress disorder.

Authors:  Birgit Kleim; Nick Grey; Jennifer Wild; Fridtjof W Nussbeck; Richard Stott; Ann Hackmann; David M Clark; Anke Ehlers
Journal:  J Consult Clin Psychol       Date:  2012-12-31

6.  Study protocol for a randomised controlled trial of cognitive processing therapy for post-traumatic stress disorder among Japanese patients: the Safety, Power, Intimacy, Esteem, Trust (SPINET) study.

Authors:  Masaya Ito; Masaru Horikoshi; Patricia A Resick; Akiko Katayanagi; Mitsuhiro Miyamae; Yuriko Takagishi; Yoshitake Takebayashi; Ayako Kanie; Naotsugu Hirabayashi; Toshiaki A Furukawa
Journal:  BMJ Open       Date:  2017-06-30       Impact factor: 2.692

7.  Leveraging routine clinical materials and mobile technology to assess CBT fidelity: the Innovative Methods to Assess Psychotherapy Practices (imAPP) study.

Authors:  Shannon Wiltsey Stirman; Luana Marques; Torrey A Creed; Cassidy A Gutner; Robert DeRubeis; Paul G Barnett; Eric Kuhn; Michael Suvak; Jason Owen; Dawne Vogt; Booil Jo; Sonja Schoenwald; Clara Johnson; Kera Mallard; Matthew Beristianos; Heidi La Bash
Journal:  Implement Sci       Date:  2018-05-22       Impact factor: 7.327

8.  Development and validation of the Trauma-Related Cognitions Scale.

Authors:  Christine E Valdez; Melissa J London; Steven E Gregorich; Michelle M Lilly
Journal:  PLoS One       Date:  2021-04-15       Impact factor: 3.240

9.  Maternal Mental Health and Child Adjustment Problems in Response to the COVID-19 Pandemic in Families Experiencing Economic Disadvantage.

Authors:  Stephanie F Thompson; Lisa Shimomaeda; Rebecca Calhoun; Natasha Moini; Michele R Smith; Liliana J Lengua
Journal:  Res Child Adolesc Psychopathol       Date:  2022-01-18

10.  A machine-learning model to predict suicide risk in Japan based on national survey data.

Authors:  Po-Han Chou; Shao-Cheng Wang; Chi-Shin Wu; Masaru Horikoshi; Masaya Ito
Journal:  Front Psychiatry       Date:  2022-08-04       Impact factor: 5.435

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.