2014 Asian Pacific journal of canc…

Prevalence of potentially malignant oral mucosal lesions among tobacco users in Jeddah, Saudi Arabia.

, , , ,

Asian Pacific journal of cancer prevention : APJCP Vol. 15 (2) : 757-62 • Jan 2014

Smoking is recognized as a health problem worldwide and there is an established tobacco epidemic in Saudi Arabia as in many other countries, with tobacco users at increased risk of developing many diseases. This cross sectional study was conducted to assess the prevalence of oral mucosal, potentially malignant or malignant, lesions associated with tobacco use among a stratified cluster sample of adults in Jeddah, Saudi Arabia. A sample size of 599 was collected and each participant underwent clinical conventional oral examination and filled a questionnaire providing information on demographics, tobacco use and other relevant habits. The most common form of tobacco used was cigarette smoking (65.6 %) followed by Shisha or Moasel (38.1%), while chewing tobacco, betel nuts and gat accounted for 21-2%, 7.7%, and 5% respectively. A high prevalence (88.8%) of soft tissue lesions was found among the tobacco users examined, and a wide range of lesions were detected, about 50% having hairy tongue, 36% smoker's melanosis, 28.9% stomatitis nicotina, 27% frictional keratosis, 26.7% fissured tongue, 26% gingival or periodontal inflammation and finally 20% leukodema. Suspicious potentially malignant lesions affected 10.5% of the subjects, most prevalent being keratosis (6.3%), leukoplakia (2.3%), erythroplakia (0.7%), oral submucous fibrosis (0.5%) and lichenoid lesions (0.4%), these being associated with male gender, lower level of education, presence of diabetes and a chewing tobacco habit. It is concluded that smoking was associated with a wide range of oral mucosal lesions , those suspicious for malignancy being linked with chewable forms, indicating serious effects.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
+1 more
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.