The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia
Metadatos
Afficher la notice complèteAuteur
Correa Rodríguez, María; El Mansouri Yachou, Jamal; Casas Barragán, Antonio; Molina, Francisco; Rueda Medina, Blanca María; Aguilar Ferrandiz, María EncarnaciónEditorial
MDPI
Materia
Body mass index Fat mass Tender point counts Visual analog scale Disease severity Fibromyalgia
Date
2019-05-27Referencia bibliográfica
Correa-Rodríguez, M., Mansouri-Yachou, E., Casas-Barragán, A., Molina, F., Rueda-Medina, B., & Aguilar-Ferrándiz, M. E. (2019). The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia. Nutrients, 11(5), 1193.
Résumé
The link between fibromyalgia syndrome (FMS) and obesity has not been thoroughly
investigated. The purpose of this study was to examine the relationships among body mass index
(BMI) and body composition parameters, including fat mass, fat mass percentage, and visceral
fat, as well as FMS features, such as tender point count (TPC), pain, disease activity, fatigue, sleep
quality, and anxiety, in a population of FMS women and healthy controls. A total of seventy-three
women with FMS and seventy-three healthy controls, matched on weight, were included in this
cross-sectional study. We used a body composition analyzer to measure fat mass, fat mass percentage,
and visceral fat. Tender point count (TPC) was measured by algometry pressure. The disease severity
was measured with the Fibromyalgia Impact Questionnaire (FIQ-R) and self-reported global pain was
evaluated with the visual analog scale (VAS). To measure the quality of sleep, fatigue, and anxiety we
used the Pittsburgh Sleep Quality Questionnaire (PSQI), the Spanish version of the multidimensional
fatigue inventory (MFI), and the Beck Anxiety Inventory (BAI), respectively. Of the women in this
study, 38.4% and 31.5% were overweight and obese, respectively. Significant differences in FIQ-R.1
(16.82 +/- 6.86 vs. 20.66 +/- 4.71, p = 0.030), FIQ-R.3 (35.20 +/- 89.02 vs. 40.33 +/- 5.60, p = 0.033), and
FIQ-R total score (63.87 +/- 19.12 vs. 75.94 +/- 12.25, p = 0.017) among normal-weight and overweight
FMS were observed. Linear analysis regression revealed significant associations between FIQ-R.2
( (95% CI) = 0.336, (0.027, 0.645), p = 0.034), FIQ-R.3 ( (95% CI) = 0.235, (0.017, 0.453), p = 0.035), and
FIQ-R total score ( (95% CI) = 0.110, (0.010, 0.209), p = 0.032) and BMI in FMS women after adjusting
for age and menopause status. Associations between sleep latency and fat mass percentage in FMS
women ( (95% CI) = 1.910, (0.078, 3.742), p = 0.041) and sleep quality and visceral fat in healthy
women ( (95% CI) = 2.614, (2.192, 3.036), p = 0.008) adjusted for covariates were also reported. The
higher BMI values are associated with poor FIQ-R scores and overweight and obese women with
FMS have higher symptom severity. The promotion of an optimal BMI might contribute to ameliorate
some of the FMS symptoms.