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The effect of Body Mass Index on Pain Levels of Patients with Fibromyalgia
Author(s) -
TorresGutiérrez César J.,
Merriwether Ericka,
Rakel Barbara,
Dailey Dana,
Muenters Li Alemo,
Abdelhamid Ramy,
Darghosian Leon,
Vance Carol,
Crofford Leslie,
Sluka Kathleen
Publication year - 2016
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.30.1_supplement.1179.10
Subject(s) - fibromyalgia , body mass index , medicine , brief pain inventory , leptin , overweight , chronic pain , physical therapy , mood , pathogenesis , analysis of variance , obesity , psychiatry
Fibromyalgia (FM) is a chronic pain syndrome characterized by widespread pain, depression, and mood and sleep disturbances. There is currently no consensus on the pathogenesis of FM. Overweight women are 60–70% more likely to develop fibromyalgia and experience more severe pain symptoms than normal women. Adipose cells release pro‐inflammatory cytokines (IL‐6, TNF‐α, Leptin) that are linked to pain pathogenesis. This study aims to determine the relationship between weight or body mass index (BMI) and pain in fibromyalgia. A sample of 93 women was recruited for participation in a set of tests which classify the pain felt by the participants. Pearson Product Moment Correlation (r) analyses were done between BMI and the pain levels. One‐way analysis of variance (ANOVA) was used to determine group differences in pain measures. For a sub‐analysis consisting of 27 patients, blood samples were acquired from the participants. The Peripheral Blood Mononuclear Cell layer (PBMC) was isolated. Monocyte phenotype was determined using fluorescence‐activated cell sorting (FACS) and a Pearson Product Moment Correlation (r) analysis was done. We found that there is no relationship between BMI, Pain levels and Monocyte phenotype. Support or Funding Information This study was supported in part by the National Institutes of Health (NIAMS) AR063381 and AR063381S1, and the Carver College of Medicine Institutional funds. We thank the FAST study team for their assistance with scheduling and data collection.