For estimating the prevalence of tobacco and alcohol use, a cross sectional study was carried out among the male migrant worker aged above 18 years in Azhikode, an industrial area in Kannur district, Kerala in March 2013. These migrants were working in different plywood and tile factories. Since the location of these workers were scattered in different parts of the study area, the study participants were recruited from a routine medical check-up camp organized by the labor department for the migrants. A sample size of 225 was estimated after considering the prevalence of tobacco use among adult males in India (47 %) as per Global Adult tobacco survey with 15 % relative precision and 10 % non response rate (
9).
Participants were assessed for the use of tobacco and alcohol, type, frequency, and duration of use by a semi-structured questionnaire after obtaining verbal consent for participating in the study. The use of tobacco and alcohol were classified into current user, ex- user and non -user. Those who had used tobacco or alcohol within last one year were termed as current user. Those users, who had used tobacco or alcohol in their lifetime, but have abstained from the use in past one year, were classified as ex -user. The trained dental interns conducted oral cavity examination for detecting oral mucosal lesions associated with tobacco use. Intra-oral examination was conducted to detect white and red mucosal lesions, ulcers, and abnormal growths. The lesion in the mouth like leukoplakia, keratosis, leucoedema, candidiasis, lichen planus, linea alba, erythroplakia etc., can be classified as white and red oral mucosal lesions lesions (
10,
11). The examination was done using spatula for tissue retraction, mouth mirror for indirect vision, and gauze for drying the oral mucosa under adequate illumination using natural and artificial light. The lesions were reported as oral white mucosal lesion, oral red mucosal lesions and oral ulcers. The identified cases were referred to a tertiary care center for confirmation and management.
The data were inserted into Microsoft excel sheet 2007 and analyzed using EpiInfo 7.1.1.14 (CDC, Atlanta). The descriptive statistics like proportion were used to present prevalence. Inferential statistics like chi square were used to test association of different factors with oral mucosal lesion. Logistic regression was used to estimate the effect of various variables on prevalence of oral mucosal lesions.