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Updated: Jun 16, 2026

A Randomized, Sham-Controlled Trial of Cranial Electrical Stimulation for Fibromyalgia Pain and Physical Function, Using Brain Imaging Biomarkers
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[Understanding fibromyalgia].

Juan C Restrepo-Medrano1, Elena Ronda-Pérez, Carmen Vives-Cases

  • 1Facultad de Enfermería, Universidad de Antioquia. juance@udea.edu.co

Revista De Salud Publica (Bogota, Colombia)
|February 20, 2010
PubMed
Summary
This summary is machine-generated.

Research on fibromyalgia risk factors is limited and dispersed. More studies are needed to improve patient care, diagnosis, and treatment of this condition.

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Area of Science:

  • Medical research
  • Rheumatology
  • Epidemiology

Background:

  • Fibromyalgia is a complex condition with multifactorial etiology.
  • Understanding risk factors is crucial for effective management and treatment strategies.

Purpose of the Study:

  • To systematically review and describe articles published between 1992 and 2007 that analyze etiological factors of fibromyalgia.
  • To identify trends and gaps in the research on fibromyalgia risk factors.

Main Methods:

  • A systematic review of scientific articles was conducted.
  • Databases searched included Medline, Cinhal, Web of Science, Lilacs, Sociological Abstracts, Embase, Psycoinfo, and ISI Web of Knowledge.
  • Articles published from 1992 to 2007 were included.

Main Results:

  • 21 articles were identified, comprising theoretical reviews, cross-sectional studies, cohort studies, case-control studies, and one systematic review.
  • Identified risk factors included silicone implants, socio-demographic and hormonal factors, stress, hepatitis C, traumatic antecedents, and occupation.
  • The period 2000-2004 showed the highest publication frequency, with broad thematic dispersion.

Conclusions:

  • Empirical evidence on fibromyalgia risk factors remains scarce and fragmented.
  • Further research is essential to expand knowledge on risk factors, thereby enhancing fibromyalgia care, diagnosis, and treatment.
  • Future studies should prioritize generating robust evidence on identified risk factors.