OBJECTIVE: To estimate the prevalence of rheumatic diseases in rural and urban populations using the WHO-ILAR COPCORD questionnaire. METHODS: We conducted a cross-sectional home survey in subjects > 18 years of age in the Mexican state of Nuevo Leon. Results were validated locally against physical examination in positive cases according to an operational definition by 2 rheumatologists. We used a random, balanced, and stratified sample by region of representative subjects. RESULTS: We surveyed 4713 individuals with a mean age of 43.6 years (SD 17.3); 55.9% were women and 87.1% were from urban areas. Excluding trauma, 1278 individuals (27.1%, 95% CI 25.8%-28.4%) reported musculoskeletal pain in the last 7 days; the prevalence of this variable was almost twice as frequent in women (33% vs 17% in men); 529 (11.2%) had pain associated with trauma. The global prevalence of pain was 38.3%. Mean pain score was 2.4 (SD 3.4) on a pain scale of 0-10. Most subjects classified as positive according to case definition (99%) were evaluated by a rheumatologist. Main diagnoses were osteoarthritis in 17.3% (95% CI 16.2-18.4), back pain in 9.8% (95% CI 9.0-10.7), undifferentiated arthritis in 2.4% (95% CI 2.0-2.9), rheumatoid arthritis in 0.4% (95% CI 0.2-0.6), fibromyalgia in 0.8% (95% CI 0.6-1.1), and gout in 0.3% (95% CI 0.1-0.5). CONCLUSION: This is the first regional COPCORD study in Mexico performed with a systematic sampling, showing a high prevalence of pain. COPCORD is a useful tool for the early detection of rheumatic diseases as well as for accurately referring patients to different medical care centers and to reduce underreporting of rheumatic diseases.
OBJECTIVE: To estimate the prevalence of rheumatic diseases in rural and urban populations using the WHO-ILAR COPCORD questionnaire. METHODS: We conducted a cross-sectional home survey in subjects > 18 years of age in the Mexican state of Nuevo Leon. Results were validated locally against physical examination in positive cases according to an operational definition by 2 rheumatologists. We used a random, balanced, and stratified sample by region of representative subjects. RESULTS: We surveyed 4713 individuals with a mean age of 43.6 years (SD 17.3); 55.9% were women and 87.1% were from urban areas. Excluding trauma, 1278 individuals (27.1%, 95% CI 25.8%-28.4%) reported musculoskeletal pain in the last 7 days; the prevalence of this variable was almost twice as frequent in women (33% vs 17% in men); 529 (11.2%) had pain associated with trauma. The global prevalence of pain was 38.3%. Mean pain score was 2.4 (SD 3.4) on a pain scale of 0-10. Most subjects classified as positive according to case definition (99%) were evaluated by a rheumatologist. Main diagnoses were osteoarthritis in 17.3% (95% CI 16.2-18.4), back pain in 9.8% (95% CI 9.0-10.7), undifferentiated arthritis in 2.4% (95% CI 2.0-2.9), rheumatoid arthritis in 0.4% (95% CI 0.2-0.6), fibromyalgia in 0.8% (95% CI 0.6-1.1), and gout in 0.3% (95% CI 0.1-0.5). CONCLUSION: This is the first regional COPCORD study in Mexico performed with a systematic sampling, showing a high prevalence of pain. COPCORD is a useful tool for the early detection of rheumatic diseases as well as for accurately referring patients to different medical care centers and to reduce underreporting of rheumatic diseases.
Authors: Susana Aideé González-Chávez; César Pacheco-Tena; Teresita de Jesús Caraveo-Frescas; Celia María Quiñonez-Flores; Greta Reyes-Cordero; Rosa María Campos-Torres Journal: Rheumatol Int Date: 2019-09-17 Impact factor: 2.631
Authors: Gustavo Citera; Wilson Bautista-Molano; Ingris Peláez-Ballestas; Valderilio F Azevedo; Risto A Perich; José A Méndez-Rodríguez; Mariel S Cutri; Cecilia E Borlenghi Journal: Adv Rheumatol Date: 2021-01-08
Authors: Sergio Guevara-Pacheco; Astrid Feicán-Alvarado; Luz Helena Sanín; Jaime Vintimilla-Ugalde; Fernando Vintimilla-Moscoso; Jorge Delgado-Pauta; Angelita Lliguisaca-Segarra; Holger Dután-Erráez; Daniel Guevara-Mosquera; Verónica Ochoa-Robles; Mario H Cardiel; Ingris Peláez-Ballestas Journal: Rheumatol Int Date: 2016-03-29 Impact factor: 2.631
Authors: Maria de la Vega; Hellen M da Silveira de Carvalho; Lucio Ventura Ríos; Maria V Goycochea Robles; Gustavo C Casado Journal: Rheumatol Int Date: 2012-12-23 Impact factor: 2.631
Authors: Adalberto Loyola Sánchez; Julie Richardson; Ingris Peláez-Ballestas; John N Lavis; Seanne Wilkins; Michael G Wilson; Jacqueline Rodríguez-Amado; José Alvarez-Nemegyei; Rebeca T Martínez-Villarreal; Dora J Onofre-Rodríguez; Raquel Benavides-Torres Journal: JMIR Res Protoc Date: 2014-11-21