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PRACA ORYGINALNA
Cross-sectional analysis of the associations between fibromyalgia and diabetes mellitus
Data publikacji online: 31-10-2018
Reumatologia 2018;56(5):275-278
SŁOWA KLUCZOWE
STRESZCZENIE
Background:
The fibromyalgia syndrome (FMS) is a chronic condition consisting of widespread musculoskeletal pain and tenderness together with mood and cognitive dysfunction. Diabetes mellitus (DM) is a common condition causing significant and detrimental morbidity and mortality. Data on the association between the two conditions is scarce and mainly based on small populations therefore lack solid evidence.
Objectives:
To evaluate the association of FMS with DM.
Material and methods:
This cross-sectional study used the Clalit Health Services database, the largest Health Maintenance Organization in Israel, serving 4,400,000 members. FMS patients were compared to age- and sex-matched controls regarding chronic comorbid conditions. 2 and student’s t-tests were used for univariate analysis.
Results:
The study included 14,296 FMS patients and 71,324 age- and sex-matched controls. The FMS group had a significantly higher proportion of DM patients compared to non-FMS controls (19.8% and 17.4 respectively; OR 1.17 , 95% CI: 1.12–1.23, p < 0.001).
The fibromyalgia syndrome (FMS) is a chronic condition consisting of widespread musculoskeletal pain and tenderness together with mood and cognitive dysfunction. Diabetes mellitus (DM) is a common condition causing significant and detrimental morbidity and mortality. Data on the association between the two conditions is scarce and mainly based on small populations therefore lack solid evidence.
Objectives:
To evaluate the association of FMS with DM.
Material and methods:
This cross-sectional study used the Clalit Health Services database, the largest Health Maintenance Organization in Israel, serving 4,400,000 members. FMS patients were compared to age- and sex-matched controls regarding chronic comorbid conditions. 2 and student’s t-tests were used for univariate analysis.
Results:
The study included 14,296 FMS patients and 71,324 age- and sex-matched controls. The FMS group had a significantly higher proportion of DM patients compared to non-FMS controls (19.8% and 17.4 respectively; OR 1.17 , 95% CI: 1.12–1.23, p < 0.001).
REFERENCJE (24)
1.
Queiroz LP. Worldwide Epidemiology of Fibromyalgia. Curr Pain Headache Rep 2013; 17: 356.
2.
Grodman I, Buskila D, Arnson Y, et al. Understanding fibromyalgia and its resultant disability. Isr Med Assoc J IMAJ 2011;13: 769-772.
3.
Jones GT, Atzeni F, Beasley M, et al. The prevalence of fibromyalgia in the general population: a comparison of the American College of Rheumatology 1990, 2010, and modified 2010 classification criteria. Arthritis Rheumatol 2015; 67: 568-575.
4.
Wolfe F, Clauw DJ, Fitzcharles M-A, et al. The American College of Rheumatology preliminary diagnostic criteria for fibromyalgia and measurement of symptom severity. Arthritis Care Res 2010; 62: 600-610.
5.
Lichtenstein A, Tiosano S, Amital H. The complexities of fibromyalgia and its comorbidities. Curr Opin Rheumatol 2018; 30: 94-100.
6.
Amital D, Fostick L, Polliack ML, et al. Posttraumatic stress disorder, tenderness, and fibromyalgia syndrome: are they different entities? J Psychosom Res 2006; 61: 663-669.
7.
Yavne Y, Amital D, Watad A, et al. A systematic review of precipitating physical and psychological traumatic events in the development of fibromyalgia. Semin Arthritis Rheum 2018; 48: 121-133.
8.
Yavne Y, Tiosano S, Watad A, et al. Investigating the link between ischemic heart disease and Behcet’s disease: A cross-sectional analysis. Int J Cardiol 2017; 241: 41-45.
9.
Dagan A, Segal G, Tiosano S, et al. Coexistent malignant conditions in rheumatoid arthritis – A population-based cross-sectional study. Int J Clin Pract 2017; 71: e12929.
10.
Merdler-Rabinowicz R, Tiosano S, Comaneshter D, et al. Comorbidity of gout and rheumatoid arthritis in a large population database. Clin Rheumatol 2017; 36: 657-660.
11.
World Health Organization. Global report on diabetes, 2016. Available from: http://apps.who.int/iris/bitst....
12.
Israel Center for Disease Control. Highlights of health in Israel, 2017. Available from: https://www.health.gov.il/publ....
13.
Wolak T, Weitzman S, Harman-Boehm I, et al. Prevalence of fibromyalgia in type 2 diabetes mellitus. Harefuah 2001; 140: 1006-1009, 1119, 1120.
14.
Tishler M, Smorodin T, Vazina-Amit M, et al. Fibromyalgia in diabetes mellitus. Rheumatol Int 2003; 23: 171-173.
15.
Mirghani HO, Elbadawi AS. Are diabetes mellitus, restless syndrome, and fibromyalgia related? Indian J Basic Appl Med Res 2016; 5: 208-215.
16.
Tugrul G, Coskun NC, Sarpel T, et al. THU0559 Frequency of fibromyalgia syndrome in patients with type 2 diabetes mellitus. Ann Rheum Dis 2016; 75 (Suppl 2): 394-394.
17.
Yanmaz MN, Mert M, Korkmaz M. The prevalence of fibromyalgia syndrome in a group of patients with diabetes mellitus. Rheumatol Int 2012; 32: 871-874.
18.
Patucchi E, Fatati G, Puxeddu A, Coaccioli S. Prevalence of fibromyalgia in diabetes mellitus and obesity. Recenti Prog Med 2003; 94: 163-165.
19.
Fava A, Plastino M, Cristiano D, et al. Insulin resistance possible risk factor for cognitive impairment in fibromialgic patients. Metab Brain Dis 2013; 28: 619-627.
20.
Watad A, Bragazzi NL, Tiosano S, et al. Alzheimer’s Disease in Systemic Sclerosis Patients: A Nationwide Population-Based Cohort Study. J Alzheimers Dis 2018; 65: 117-124.
21.
Watad A, Bragazzi NL, Adawi M, et al. Anxiety disorder among rheumatoid arthritis patients: Insights from real-life data. J Affect Disord 2017; 213: 30-34.
22.
Sharif K, Watad A, Tiosano S, et al. The link between COPD and ankylosing spondylitis: A population based study. Eur J Intern Med 2018; 53: 62-65.
23.
Yavne Y, Tiosano S, Ben-Ami D, et al. Giant cell arteritis and inflammatory bowel disease – Is there a connection? Results from a population-based study. Autoimmun Rev 2018; 7: 1134-1137.
24.
Tiosano S, Yavne Y, Gendelman O, et al. Stroke among rheumatoid arthritis patients: Does age matter? A real-life study. Neuroepidemiology 2017; 49: 99-105.
Copyright: © Narodowy Instytut Geriatrii, Reumatologii i Rehabilitacji w Warszawie. This is an Open Access journal, all articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (https://creativecommons.org/licenses/by-nc-sa/4.0/), allowing third parties to copy and redistribute the material in any medium or format and to remix, transform, and build upon the material, provided the original work is properly cited and states its license.
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| eISSN: | 2084-9834 |
| ISSN: | 0034-6233 |
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