Predictors of fibromyalgia: a population-based twin cohort study

BMC Musculoskeletal Disorders
Ritva MarkkulaJaakko Kaprio

Abstract

Fibromyalgia (FM) is a pain syndrome, the mechanisms and predictors of which are still unclear. We have earlier validated a set of FM-symptom questions for detecting possible FM in an epidemiological survey and thereby identified a cluster with "possible FM". This study explores prospectively predictors for membership of that FM-symptom cluster. A population-based sample of 8343 subjects of the older Finnish Twin Cohort replied to health questionnaires in 1975, 1981, and 1990. Their answers to the set of FM-symptom questions in 1990 classified them in three latent classes (LC): LC1 with no or few symptoms, LC2 with some symptoms, and LC3 with many FM symptoms. We analysed putative predictors for these symptom classes using baseline (1975 and 1981) data on regional pain, headache, migraine, sleeping, body mass index (BMI), physical activity, smoking, and zygosity, adjusted for age, gender, and education. Those with a high likelihood of having fibromyalgia at baseline were excluded from the analysis. In the final multivariate regression model, regional pain, sleeping problems, and overweight were all predictors for membership in the class with many FM symptoms. The strongest non-genetic predictor was frequent headache (OR 8.6, CI...Continue Reading

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Citations

Feb 7, 2020·Journal of Clinical Sleep Medicine : JCSM : Official Publication of the American Academy of Sleep Medicine·Alessandro AndreucciJuan R Ordoñana
Jul 23, 2020·Pain·Teemu MiettinenJörn Lötsch
Mar 7, 2021·Seminars in Arthritis and Rheumatism·Martina D'OnghiaFrancesco Ursini
Jul 25, 2021·Journal of Clinical Medicine·Golnaz BarjandiMalin Ernberg
Jan 6, 2021·ACS Chemical Neuroscience·Abdul Haque AnsariSuneel Kumar
Nov 20, 2021·Medicine·Teemu ZettermanEija Kalso

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