Mobini M, Mohammad pour R A, Hoseini A, Elyasi F. Comparison of the frequency of metabolic syndrome between patients with fibromyalgia and the control group:
a case-control study. J Mazandaran Univ Med Sci 2025; 35 (250) :96-105
URL:
http://jmums.mazums.ac.ir/article-1-21635-en.html
Abstract: (53 Views)
Background and purpose: Fibromyalgia is a common syndrome characterized by chronic pain, fatigue, and insomnia. The aim of this study was to investigate the prevalence of metabolic syndrome and its components in patients with fibromyalgia.
Materials and methods: The present study is a case-control study conducted in 100 female patients with fibromyalgia and 100 controls in 2021-22. Patients information were recorded, including demographic data, underlying diseases, and information related to fibromyalgia, including the Persian FIQR questionnaire. The control group consisted of clients from government clinics and were selected based on a pre-determined age range. The results were calculated from descriptive statistics, Chi-square test and T-test using SPSS software. P<0.05 was considered significant.
Results: The mean age of patients was 45.62±10.3 years and in control subjects it was 41.51±11.7 years (P=0.011). Metabolic syndrome according to NCEP was 44% in patients with fibromyalgia and 24% in the control group (P=0.003). Body mass index in the fibromyalgia group was 30.06 ± 5 and in the control group was 27.6 ± 0.4 kg/m2 (P=0.000), low HDL was 64% in the case group and 33% in the control group (P=0.000), family history of myocardial infarction/stroke was 28% in the fibromyalgia group and 15% in the control group (P=0.025), and history of hypothyroidism was 21% in patients with fibromyalgia compared to 7% in the control group (P=0.004).
Conclusion: The frequency of metabolic syndrome in female patients with fibromyalgia was nearly twice as high as in those without fibromyalgia. In addition to metabolic syndrome, patients with fibromyalgia had a higher family history of heart attack and stroke, and hypothyroidism was more common. Therefore, identifying and controlling components of metabolic syndrome in these patients may help improve their survival and quality of life.