Literature DB >> 24964249

Fibromyalgia characterization in a psychosocial approach.

Barbara Gonzalez1, Telmo M Baptista, Jaime C Branco, Rosa F Novo.   

Abstract

This study aimed to characterize a group of women diagnosed with fibromyalgia, evaluating the relationship between personality and psychopathology, health status (disability, physical health, mental health, and pain), and potentially traumatic life events (PTLE) before the onset of the syndrome. The disability caused by fibromyalgia, physical and mental health status, pain, PTLE in childhood and in the course of life, and personality were assessed in a sample of 50 women with fibromyalgia, age 25-70 years (M = 46.96; SD = 10.96). A multiple correspondence analysis with all the variables identified two types of profiles and a K-Means cluster analysis confirmed two groups of patients: cluster 1 (n = 36), with better health and less psychopathological problems, named "Better adjustment" and cluster 2 (n = 14), with less health and more personality problems, named "Disorder and disability." Pertaining to personality only, a K-Means cluster analysis replicated the three classic personality profiles (normal, neurotic, and psychopathological) identified in chronic pain patients; and the normal profile was the more prevalent (n = 22). The results enhance the importance of recognizing the heterogeneity of fibromyalgia population and the great closeness between personality and physical health, with the PTLE having a less important role than expected.

Entities:  

Keywords:  disability; fibromyalgia; life events; personality; psychopathology

Mesh:

Year:  2014        PMID: 24964249     DOI: 10.1080/13548506.2014.931590

Source DB:  PubMed          Journal:  Psychol Health Med        ISSN: 1354-8506            Impact factor:   2.423


  5 in total

1.  Therapeutic Patient Education for Fibromyalgia during Spa Therapy: The FiETT Randomized Controlled Trial.

Authors:  Philippe Ducamp; Patrick Sichère; Hermine Gayum; Karine Dubourg; Christian-François Roques; Valérie Journot
Journal:  Int J Environ Res Public Health       Date:  2022-04-11       Impact factor: 4.614

2.  Machine learning reveals the most important psychological and social variables predicting the differential diagnosis of rheumatic and musculoskeletal diseases.

Authors:  Germano Vera Cruz; Emilie Bucourt; Christian Réveillère; Virginie Martaillé; Isabelle Joncker-Vannier; Philippe Goupille; Denis Mulleman; Robert Courtois
Journal:  Rheumatol Int       Date:  2021-06-14       Impact factor: 2.631

3.  Harm Avoidance and Self-Directedness Characterize Fibromyalgic Patients and the Symptom Severity.

Authors:  Paolo Leombruni; Francesca Zizzi; Marco Miniotti; Fabrizio Colonna; Lorys Castelli; Enrico Fusaro; Riccardo Torta
Journal:  Front Psychol       Date:  2016-04-25

Review 4.  Personality Traits in Fibromyalgia (FM): Does FM Personality Exists? A Systematic Review.

Authors:  Ciro Conversano; Laura Marchi; Ciacchini Rebecca; Claudia Carmassi; Bastianina Contena; Laura Maria Bazzichi; Angelo Gemignani
Journal:  Clin Pract Epidemiol Ment Health       Date:  2018-09-28

5.  Perfectionism and Pain Intensity in Women with Fibromyalgia: Its Influence on Activity Avoidance from The Contextual Perspective.

Authors:  Blanco Sheila; Luque-Reca Octavio; Catala Patricia; Bedmar Dolores; Velasco Lilian; Peñacoba Cecilia
Journal:  Int J Environ Res Public Health       Date:  2020-11-14       Impact factor: 3.390

  5 in total

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