The association of total and central body fat with pain, fatigue and the impact of fibromyalgia in women; role of physical fitness

Segura‐Jiménez, Víctor; Castro‐Piñero, José; Soriano‐Maldonado, Alberto; Álvarez‐Gallardo, Inmaculada C.; Estévez‐López, Fernando; Fernández, Manuel Delgado; Carbonell‐Baeza, Ana

doi:10.1002/ejp.807

Cited by 19 publications

(17 citation statements)

References 46 publications

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“…Some authors have shown the relationship between obesity and FMS symptom severity, and thus suggest that FMS symptoms may be more severe in patients with increased BMI [22]. In our study, no significant correlation was found between increased BMI values and FIQ.…”

Section: Discussioncontrasting

confidence: 74%

Fibromyalji klinik ve laboratuar parametreleri ile obezite ilişkisi

Devecı¹

2020

Pamukkale Medical Journal

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Purpose: Fibromyalgia syndrome (FMS) is a common disease characterized by diffuse pain. Obesity is also a common disease characterized by excessive fat accumulation in adipose tissue. Obese individuals are known to have more musculoskeletal pain than normal people. In this study, we aimed to evaluate the relationship between obesity and fibromyalgia clinical and laboratory parameters. Materials and methods: The study included 50 FMS patients and 35 healthy control groups. FMS patients were divided into two subgroups according to their BMI: obese (BMI≥30) and non-obese (BMI<30). Clinical comparisons were made with Visual Analogue Scale (VAS), Fibromyalgia Impact Questionnaire (FIQ, Short Form-36 (SF-36), and Beck Depression Inventory (BDI). In addition, serum CRP, vitamin B12, folate, TSH levels were compared. Results: BDI, SF-36 physical function score was significantly higher in the obese group compared to the nonobese and healthy control group (p<0.001). Paresthesia and restless sleep symptoms were also significantly higher in the obese group than the non-obese group (p<0.05). Serum vitamin B12 levels were significantly lower and serum CRP values were significantly higher in the obese FMS group than the non-obese FMS group (p<0.001 and p<0.05, respectively). There was no statistically significant difference between groups in terms of VAS, FIQ score, pain duration, tender point count, serum TSH and folate levels. Conclusion: Obesity is thought to have an impact on the pathogenesis and prognosis of the disease in patients with FMS. The findings of our study partially support the FMS-obesity relationship in the literature. To clarify this relationship, prospective studies involving more patient groups and using better homogenized patients and control groups are needed.Deveci H. Fibromyalji klinik ve laboratuar parametreleri ile obezite ilişkisi. Pam Tıp Derg 2020;13:207-214 Özet Amaç: Fibromiyalji sendromu (FMS) yaygın ağrı ile karakterize sık görülen bir hastalıktır. Adipoz dokuda aşırı yağ birikimi ile karakterize olan obezite de sık görülen bir hastalıktır. Obez bireylerde normal kişilere göre daha fazla kas iskelet sistemi ağrıları olduğu bilinmektedir. Biz de bu çalışmamızda obezite ile fibromyalji klinik ve laboratuar parametreleri arasındaki ilişkiyi değerlendirmeyi amaçladık. Gereç ve yöntemler: Çalışmaya 50 FMS hastası ve 35 sağlıklı kontrol grubu alındı. FMS hastaları VKİ'lerine göre obez (VKİ≥30) ve non-obez (VKİ<30) olarak iki alt gruba ayrıldı. Gruplar arasında Vizual Analog Skalası (VAS), Fibromyalji Etki Anketi (FEA), Kısa Form-36 (KF-36), Beck Depresyon ölçeği (BDÖ) ile klinik olarak, serum CRP, vitamin B12, folat, TSH düzeyleri ile laboratuar olarak karşılaştırmalar yapıldı. Bulgular: BDÖ, KF-36'nın fiziksel fonksiyon skoru obez grupta non-obez ve sağlıklı kontrol grubuna göre anlamlı olarak daha yüksekti (p<0.001). Parestezi ve dinlendirmeyen uyku semptomları da obez grupta nonobez gruptan anlamlı derecede daha yüksekti (p<0.05). Obez FMS grupta serum vitamin B12 değerleri nonobez FMS gruptan anl...

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Section: Discussioncontrasting

confidence: 74%

Fibromyalji klinik ve laboratuar parametreleri ile obezite ilişkisi

Devecı¹

2020

Pamukkale Medical Journal

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“…Moreover, obese patients were reported to have poor quality of life and high sensitivity for pain. Likewise, Segura-Jiménez et al 13 reported that total and central body fat were positively associated with pain, fatigue, and the FIQ total score. In accordance with those studies, in our study, TMS and BMI values were higher in severe FM patients when compared to moderate FM patients.…”

Section: Discussionmentioning

confidence: 93%

Handgrip Strength in Fibromyalgia

Köklü

2016

Arch Rheumatol

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Objectives:This study aims to compare the handgrip strength values of fibromyalgia (FM) patients and healthy individuals and to demonstrate the relationship between clinical factors and FM disease severity. Patients and methods: Twenty-five female patients (mean age 34±9.2 years; range 20 to 50 years) with FM and 23 age-and body mass index-similar healthy females (mean age 35.3±9.2 years; range 26 to 46) were included. Demographic characteristics of the subjects were recorded. Tender point count was noted in the patient group. Also; total myalgia score and fibromyalgia impact questionnaire scores were calculated. Handgrip strength was measured with Jamar® dynamometer. Patients who had fibromyalgia impact questionnaire scores ≥70 out of 100 were considered to have severe FM, while those who had scores <70 were considered to have moderate FM. Results: There were no significant differences between the patient and control groups in terms of age, height, weight, and body mass index. However, patients' handgrip strength values were lower than those of the control group (p=0.011). In the patient group, positive correlation was only present between handgrip strength and body mass index values (r= -0.510, p=0.037). There was no significant difference between moderate and severe FM patients in terms of handgrip strength values. Conclusion: Fibromyalgia patients had decreased handgrip strength when compared to healthy subjects. Handgrip strength values of moderate and severe FM patients were similar. FM severity was correlated with body mass index and severity of myalgia.

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“…Although increased BMI has been associated with multiple pain measures, symptom severity, disease activity, fatigue, anxiety, or quality of life in FMS patients, the results are still controversial [8,15,16,17,18,19,20,21,22,23,24]. Whereas, in some studies, obesity has been related to numerous FMS-related symptoms, other authors have reported a lack of association [8,16,17,18,20,25,26]. These contradictory results observed may be explained by the differences in sample characteristics, such as age range or ethnicity, and methodological differences in the assessment of FMS symptoms.…”

Section: Introductionmentioning

confidence: 99%

The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia

et al. 2019

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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 (β(95% CI) = 0.336, (0.027, 0.645), p = 0.034), FIQ-R.3 (β(95% CI) = 0.235, (0.017, 0.453), p = 0.035), and FIQ-R total score (β(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 (β(95% CI) = 1.910, (0.078, 3.742), p = 0.041) and sleep quality and visceral fat in healthy women (β(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.

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The association of total and central body fat with pain, fatigue and the impact of fibromyalgia in women; role of physical fitness

Abstract: Physical fitness might potentially explain the association between obesity and fibromyalgia symptoms.

Cited by 19 publications

References 46 publications

Fibromyalji klinik ve laboratuar parametreleri ile obezite ilişkisi

Fibromyalji klinik ve laboratuar parametreleri ile obezite ilişkisi

Handgrip Strength in Fibromyalgia

The Association of Body Mass Index and Body Composition with Pain, Disease Activity, Fatigue, Sleep and Anxiety in Women with Fibromyalgia

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