Literature DB >> 21196592

Epidemiology of the rheumatic diseases in Mexico. A study of 5 regions based on the COPCORD methodology.

Ingris Peláez-Ballestas1, Luz Helena Sanin, José Moreno-Montoya, José Alvarez-Nemegyei, Rubén Burgos-Vargas, Mario Garza-Elizondo, Jacqueline Rodríguez-Amado, Maria-Victoria Goycochea-Robles, Marco Madariaga, Jorge Zamudio, Natalia Santana, Mario H Cardiel.   

Abstract

OBJECTIVE: To estimate the prevalence of musculoskeletal (MSK) disorders and to describe predicting variables associated with rheumatic diseases in 5 regions of México.
METHODS: This was a cross-sectional, community-based study performed in 5 regions in México. The methodology followed the guidelines proposed by the Community Oriented Program for the Control of the Rheumatic Diseases (COPCORD). A standardized methodology was used at all sites, with trained personnel following a common protocol of interviewing adult subjects in their household. A "positive case" was defined as an individual with nontraumatic MSK pain of > 1 on a visual analog pain scale (0 to 10) during the last 7 days. All positive cases were referred to internists or rheumatologists for further clinical evaluation, diagnosis, and proper treatment.
RESULTS: The study included 19,213 individuals; 11,602 (68.8%) were female, and their mean age was 42.8 (SD 17.9) years. The prevalence of MSK pain was 25.5%, but significant variations (7.1% to 43.5%) across geographical regions occurred. The prevalence of osteoarthritis was 10.5%, back pain 5.8%, rheumatic regional pain syndromes 3.8%, rheumatoid arthritis 1.6%, fibromyalgia 0.7%, and gout 0.3%. The prevalence of MSK manifestations was associated with older age and female gender.
CONCLUSION: The prevalence of MSK pain in our study was 25.5%. Geographic variations in the prevalence of MSK pain and specific diagnoses suggested a role for geographic factors in the prevalence of rheumatic diseases.

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Year:  2011        PMID: 21196592     DOI: 10.3899/jrheum.100951

Source DB:  PubMed          Journal:  J Rheumatol Suppl        ISSN: 0380-0903


  72 in total

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Journal:  Clin Rheumatol       Date:  2019-06-25       Impact factor: 2.980

Review 3.  Global epidemiology of gout: prevalence, incidence and risk factors.

Authors:  Chang-Fu Kuo; Matthew J Grainge; Weiya Zhang; Michael Doherty
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Review 4.  Determinants of the prevalence of gout in the general population: a systematic review and meta-regression.

Authors:  José M A Wijnands; Wolfgang Viechtbauer; Kristof Thevissen; Ilja C W Arts; Pieter C Dagnelie; Coen D A Stehouwer; Sjef van der Linden; Annelies Boonen
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5.  Mexican rheumatology: where do we stand?

Authors:  Carlos Pineda; Hugo Sandoval; Antonio Fraga-Mouret
Journal:  Rheumatol Int       Date:  2018-11-12       Impact factor: 2.631

6.  Gene-gene interactions of the Wnt/β-catenin signaling pathway in knee osteoarthritis.

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Journal:  Mol Biol Rep       Date:  2018-08-06       Impact factor: 2.316

7.  Prevalence of musculoskeletal diseases in a semi-urban Nigerian community: results of a cross-sectional survey using COPCORD methodology.

Authors:  Uhunmwangho U Courage; Dungwom P Stephen; Imoh C Lucius; Charles Ani; Agbaji O Oche; Agaba I Emmanuel; Adelowo O Olufemi
Journal:  Clin Rheumatol       Date:  2017-04-26       Impact factor: 2.980

8.  The incidence and prevalence of systemic lupus erythematosus, 2002-2004: The Georgia Lupus Registry.

Authors:  S Sam Lim; A Rana Bayakly; Charles G Helmick; Caroline Gordon; Kirk A Easley; Cristina Drenkard
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9.  The Social Gap Index and the prevalence of osteoarthritis in the community: a cross-sectional multilevel study in Mexico.

Authors:  Jacqueline Rodriguez-Amado; Jose Moreno-Montoya; Jose Alvarez-Nemegyei; Maria Victoria Goycochea-Robles; Luz Helena Sanin; Ruben Burgos-Vargas; Mario Humberto Cardiel; Mario Alberto Garza-Elizondo; Marco Maradiaga; Ingris Pelaez-Ballestas
Journal:  Clin Rheumatol       Date:  2014-09-18       Impact factor: 2.980

10.  WHO-ILAR COPCORD study (stage 1, urban study) in Sanandaj, Iran.

Authors:  Nasrin Moghimi; Fereydoun Davatchi; Ezat Rahimi; Afshin Saidi; Naser Rashadmanesh; Solmaz Moghimi; Hoshyar Ghafori; Peiman Zandi; Negin Ahmadi; Hamed Ghafori; Mohsen Moghimi; Marjan hajiheshmati
Journal:  Clin Rheumatol       Date:  2013-11-09       Impact factor: 2.980

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