Background: Data describing the potential relationship between chronic obstructive pulmonary disease (COPD) and body mass index (BMI) are limited within the Middle East and North Africa (MENA) region.
Objective: To evaluate the distribution of BMI among subjects with COPD in the general population of the MENA region.
Methods: This study was a subanalysis of the BREATHE study, a cross-sectional survey of COPD conducted in the general population of ten countries in the MENA region and Pakistan.
Data on COPD-related healthcare resources use are rarely documented in developing countries. This article presents data on COPD-related healthcare resource consumption in the Middle East, North Africa and Pakistan and addresses the association of this variable with illness severity. A large survey of COPD was conducted in eleven countries of the region, namely Algeria, Egypt, Jordan, Lebanon, Morocco, Pakistan, Saudi-Arabia, Syria, Tunisia, Turkey and United Arab Emirates, using a standardised methodology.
View Article and Find Full Text PDFChronic obstructive pulmonary disease (COPD) is a potentially severe chronic progressive respiratory condition requiring long-term treatment and frequently involving episodic hospitalisations to manage exacerbations. The objective of this analysis was to document diagnosis, evaluation, treatment and management of COPD-related respiratory symptoms in 1,392 subjects fulfilling an epidemiological definition of COPD identified in a general population sample of 62,086 individuals aged ≥ 40 years in ten countries in the Middle East and North Africa region (Algeria, Egypt, Jordan, Lebanon, Morocco, Saudi Arabia, Syria, Tunisia, Turkey and United Arab Emirates), together with Pakistan. 442 subjects (31.
View Article and Find Full Text PDFFew recent comparative data exist on smoking habits in the Middle East and North Africa (MENA) region. The objective of this analysis was to evaluate smoking patterns in a large general population sample of individuals aged ≥ 40 years in ten countries in the region (Algeria, Egypt, Jordan, Lebanon, Morocco, Saudi Arabia, Syria, Tunisia, Turkey and United Arab Emirates), together with Pakistan, using a standardised methodology. A random sample of 457,258 telephone numbers was generated and called.
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