Association of Body Mass Index with Pain Perception, Anxiety, Depression, and Disability in Fibromyalgia Patients
Exercise in Post-Coronary Revascularization Patients
Keywords:
Body Mass Index, Fibromyalgia, Pain, ObesityAbstract
Background: A disorder of uncertain origin, Fibromyalgia (FM) is accompanied by pervasive pain, tiredness, disturbed sleep, and cognitive deficit. It has been related to depression, manic-depressive illness, and chronic fatigue. FM is negatively affected by obesity on both clinical and biological parameters.
Methods: A total of n=150 FM patients (132 Female and 18 Male) were included in the study. Initially, informed consent and demographic data were gathered from the participants. Afterwards, each patient's Body Mass Index (BMI) was calculated and classified into average weight, overweight, and obese categories. The Numeric Pain Rating Scale (NPRS) was used to quantify the intensity of pain, the Hamilton Anxiety Scale (HAM-A) was used to determine the participants’ anxiety levels, the Hamilton Rating Scale for Depression (HAM-D) was used to examine their depression levels, and Health Assessment Questionnaire Disability Index (HAQ-DI) was used to measure their functional status. All these questionnaires were self-administered by the participants.
Results: In the NPRS, HAM-A, HAM-D, and HAQ-DI categories, no significant differences were found (p>0.05). However, between the BMI level and anxiety, a weak positive correlation was detected (r=0.195, p=0.017). BMI levels were not statistically significantly correlated with pain, depression, or disability (r=0.011, p=0.0897; r=0.048, p=0.562; r=0.072, p=0.383).
Conclusion: The results of the study revealed that there is no significant association of pain perception, anxiety, depression and disability with increasing BMI among FM patients except for a weak positive correlation with anxiety.
References
Koçyiğit BF, Okyay RA. The relationship between body mass index and pain, disease activity, depression and anxiety in women with fibromyalgia. PeerJ. 2018 May 28;6:e4917.
Chong YY, Ng BY. Clinical aspects and management of fibromyalgia syndrome. Ann Acad Med Singap. 2009 Nov;38(11):967-73. PMID: 19956819.
Mease PJ. Assessment of patients with fibromyalgia syndrome. Journal of Musculoskeletal Pain. 2008 Jan 1;16(1-2):75-83.
Schmidt-Wilcke T, Clauw DJ. Fibromyalgia: from pathophysiology to therapy. Nature Reviews Rheumatology. 2011 Sep;7(9):518-27.
Senna MK, Sallam RA, Ashour HS, Elarman M. Effect of weight reduction on the quality of life in obese patients with fibromyalgia syndrome: a randomized controlled trial. Clinical rheumatology. 2012 Nov;31:1591-7.
Queiroz LP. Worldwide epidemiology of fibromyalgia. Current pain and headache reports. 2013 Aug;17:1-6.
Granados Y, Cedeño L, Rosillo C, Berbin S, Azocar M, Molina ME, Lara O, Sanchez G, Peláez-Ballestas I. Prevalence of musculoskeletal disorders and rheumatic diseases in an urban community in Monagas State, Venezuela: a COPCORD study. Clinical rheumatology. 2015 May;34:871-7.
Scudds RA, Li EK, Scudds RJ. The prevalence of fibromyalgia syndrome in Chinese people in Hong Kong. Journal of Musculoskeletal Pain. 2006 Jan 1;14(2):3-11.
Sandoughi M, Zakeri Z, Tehrani Banihashemi A, Davatchi F, Narouie B, Shikhzadeh A, Mohammadi M, Jahantigh M, Shakiba M, Moulaei NA, Yousefi S. Prevalence of musculoskeletal disorders in southeastern I ran: a WHO‐ILAR COPCORD study (stage 1, urban study). International journal of rheumatic diseases. 2013 Oct;16(5):509-17.
Joshi VL, Chopra A. Is there an urban-rural divide? Population surveys of rheumatic musculoskeletal disorders in the Pune region of India using the COPCORD Bhigwan model. The Journal of rheumatology. 2009 Mar 1;36(3):614-22.
Farooqi A, Gibson T. Prevalence of the major rheumatic disorders in the adult population of north Pakistan. British journal of rheumatology. 1998 May 1;37(5):491-5.
Neumann L, Lerner E, Glazer Y, Bolotin A, Shefer A, Buskila D. A cross-sectional study of the relationship between body mass index and clinical characteristics, tenderness measures, quality of life, and physical functioning in fibromyalgia patients. Clin Rheumatol. 2008;27(12):1543–1547.
Okifuji A, Bradshaw DH, Olson C. Evaluating obesity in fibromyalgia: neuroendocrine biomarkers, symptoms, and functions. Clin Rheumatol. 2009;28(4):475–478.
Ian A. Young PT, DSc, James Dunning PT, DPT, Raymond Butts PT, PhD, Firas Mourad PT, DPT & Joshua A. Cleland PT, PhD (2018): Reliability, construct validity,and responsiveness of the neck disability index and numeric pain rating scale in patients with mechanical neck pain without upper extremity symptoms, Physiotherapy Theory and Practice, DOI:10.1080/09593985.2018.1471763
Hamilton MA. The assessment of anxiety states by rating. British journal of medical psychology. 1959.
Hamilton MA (1960). A rating scale for depression. Journal of neurology, Neurosurgery, and Psychiatry, 23(1),56-62
Bruce B, Fries JF. The health assessment questionnaire (HAQ). Clinical and experimental rheumatology. 2005 Oct;23(5):S14.
Correa-Rodríguez M, El Mansouri-Yachou J, Casas-Barragán A, Molina F, Rueda-Medina B, Aguilar-Ferrándiz ME. The association of body mass index and body composition with pain, disease activity, fatigue, sleep and anxiety in women with fibromyalgia. Nutrients. 2019 May 27;11(5):1193.
Yunus MB, Arslan S, Aldag JC. Relationship between body mass index and fibromyalgia features. Scandinavian journal of rheumatology. 2002 Jan 1;31(1):27-31.
Gota CE, Kaouk S, Wilke WS. Fibromyalgia and obesity: the association between body mass index and disability, depression, history of abuse, medications, and comorbidities. JCR: Journal of Clinical Rheumatology. 2015 Sep 1;21(6):289-95.
Kim CH, Luedtke CA, Vincent A, Thompson JM, Oh TH. Association of body mass index with symptom severity and quality of life in patients with fibromyalgia. Arthritis care & research. 2012 Feb;64(2):222-8.
Timmerman GM, Calfa NA, Stuifbergen AK. Correlates of body mass index in women with fibromyalgia. Orthopaedic nursing. 2013 Mar 1;32(2):113-9.
Capodaglio P, Faintuch J, Liuzzi A, editors. Disabling obesity: from determinants to health care models. Heidelberg: Springer; 2013 Apr 4.
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