AIM: To estimate the prevalence of rheumatic diseases in Lebanon and to explore their distribution by geographic location, age, and gender. METHOD: Using the Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) methodology, a random sample of 3530 individuals aged 15 and above was interviewed from the six Lebanese governorates. Positive respondents were evaluated by rheumatologists using the internationally accepted classification criterion of the American College of Rheumatology for the diagnosis of rheumatic diseases. RESULTS: Prevalence rates of current and past musculoskeletal problems were 24.4% and 8.4%, respectively. Shoulder (14.3%), knee (14.2%) and back (13.6%) were the most common pain sites. Point prevalence of rheumatic diseases was 15.0%. The most frequent types of rheumatic diseases were of mechanical origin, namely soft tissue rheumatism (5.8%) and osteoarthritis (4.0%). Rheumatoid arthritis (1.0%) and spondylathropathies (0.3%) constituted the most common inflammatory diseases. Coastal areas had the lowest prevalence of all diseases except for fibromyalgia. All diseases showed an increasing prevalence pattern with age and a higher prevalence among women than men. CONCLUSION: This is the first study to give population-based estimates of rheumatic diseases in Lebanon. The high burden calls for public health attention for early detection, control and prevention of these conditions. Point prevalence of individual diseases was within the range of results from other COPCORD surveys with some variations that can be attributed to differences in methodology and geo-ethnic factors.
AIM: To estimate the prevalence of rheumatic diseases in Lebanon and to explore their distribution by geographic location, age, and gender. METHOD: Using the Community Oriented Program for the Control of Rheumatic Diseases (COPCORD) methodology, a random sample of 3530 individuals aged 15 and above was interviewed from the six Lebanese governorates. Positive respondents were evaluated by rheumatologists using the internationally accepted classification criterion of the American College of Rheumatology for the diagnosis of rheumatic diseases. RESULTS: Prevalence rates of current and past musculoskeletal problems were 24.4% and 8.4%, respectively. Shoulder (14.3%), knee (14.2%) and back (13.6%) were the most common pain sites. Point prevalence of rheumatic diseases was 15.0%. The most frequent types of rheumatic diseases were of mechanical origin, namely soft tissue rheumatism (5.8%) and osteoarthritis (4.0%). Rheumatoid arthritis (1.0%) and spondylathropathies (0.3%) constituted the most common inflammatory diseases. Coastal areas had the lowest prevalence of all diseases except for fibromyalgia. All diseases showed an increasing prevalence pattern with age and a higher prevalence among women than men. CONCLUSION: This is the first study to give population-based estimates of rheumatic diseases in Lebanon. The high burden calls for public health attention for early detection, control and prevention of these conditions. Point prevalence of individual diseases was within the range of results from other COPCORD surveys with some variations that can be attributed to differences in methodology and geo-ethnic factors.
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: Maziar Moradi-Lakeh; Mohammad H Forouzanfar; Stein Emil Vollset; Charbel El Bcheraoui; Farah Daoud; Ashkan Afshin; Raghid Charara; Ibrahim Khalil; Hideki Higashi; Mohamed Magdy Abd El Razek; Aliasghar Ahmad Kiadaliri; Khurshid Alam; Nadia Akseer; Nawal Al-Hamad; Raghib Ali; Mohammad AbdulAziz AlMazroa; Mahmoud A Alomari; Abdullah A Al-Rabeeah; Ubai Alsharif; Khalid A Altirkawi; Suleman Atique; Alaa Badawi; Lope H Barrero; Mohammed Basulaiman; Shahrzad Bazargan-Hejazi; Neeraj Bedi; Isabela M Bensenor; Rachelle Buchbinder; Hadi Danawi; Samath D Dharmaratne; Faiez Zannad; Maryam S Farvid; Seyed-Mohammad Fereshtehnejad; Farshad Farzadfar; Florian Fischer; Rahul Gupta; Randah Ribhi Hamadeh; Samer Hamidi; Masako Horino; Damian G Hoy; Mohamed Hsairi; Abdullatif Husseini; Mehdi Javanbakht; Jost B Jonas; Amir Kasaeian; Ejaz Ahmad Khan; Jagdish Khubchandani; Ann Kristin Knudsen; Jacek A Kopec; Raimundas Lunevicius; Hassan Magdy Abd El Razek; Azeem Majeed; Reza Malekzadeh; Kedar Mate; Alem Mehari; Michele Meltzer; Ziad A Memish; Mojde Mirarefin; Shafiu Mohammed; Aliya Naheed; Carla Makhlouf Obermeyer; In-Hwan Oh; Eun-Kee Park; Emmanuel Kwame Peprah; Farshad Pourmalek; Mostafa Qorbani; Anwar Rafay; Vafa Rahimi-Movaghar; Rahman Shiri; Sajjad Ur Rahman; Rajesh Kumar Rai; Saleem M Rana; Sadaf G Sepanlou; Masood Ali Shaikh; Ivy Shiue; Abla Mehio Sibai; Diego Augusto Santos Silva; Jasvinder A Singh; Jens Christoffer Skogen; Abdullah Sulieman Terkawi; Kingsley N Ukwaja; Ronny Westerman; Naohiro Yonemoto; Seok-Jun Yoon; Mustafa Z Younis; Zoubida Zaidi; Maysaa El Sayed Zaki; Stephen S Lim; Haidong Wang; Theo Vos; Mohsen Naghavi; Alan D Lopez; Christopher J L Murray; Ali H Mokdad Journal: Ann Rheum Dis Date: 2017-02-16 Impact factor: 19.103
Authors: Samar Al Emadi; Mohammed Hammoudeh; Mohamed Mounir; Ruediger B Mueller; Alvin F Wells; Housam Aldeen Sarakbi Journal: J Int Med Res Date: 2017-03-07 Impact factor: 1.671