A logistic regression analysis of risk factors in ME/CFS pathogenesis

Autor: Eliana M. Lacerda, Keith Geraghty, Caroline C. Kingdon, Luigi Palla, Luis Nacul
Jazyk: angličtina
Rok vydání: 2019
Předmět:
Zdroj: BMC Neurology, Vol 19, Iss 1, Pp 1-12 (2019)
Druh dokumentu: article
ISSN: 1471-2377
DOI: 10.1186/s12883-019-1468-2
Popis: Abstract Background Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) is a complex disease, whose exact cause remains unclear. A wide range of risk factors has been proposed that helps understanding potential disease pathogenesis. However, there is little consistency for many risk factor associations, thus we undertook an exploratory study of risk factors using data from the UK ME/CFS Biobank participants. We report on risk factor associations in ME/CFS compared with multiple sclerosis participants and healthy controls. Methods This was a cross-sectional study of 269 people with ME/CFS, including 214 with mild/moderate and 55 with severe symptoms, 74 people with multiple sclerosis (MS), and 134 healthy controls, who were recruited from primary and secondary health services. Data were collected from participants using a standardised written questionnaire. Data analyses consisted of univariate and multivariable regression analysis (by levels of proximity to disease onset). Results A history of frequent colds (OR = 8.26, P
Databáze: Directory of Open Access Journals
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