SESSION TITLE: Wednesday Abstract Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: 10/23/2019 09:45 AM - 10:45 AM PURPOSE: To study the predictors of respiratory diseases in workers in high and low exposure areas in cement factories. METHODS: Cross sectional study was done including 86 workers recruited from main 4 departments: 32 technicians, 23 workers,17 supervisors , 10 engineers and 4 drivers. All subjects filled a structured questionnaire (including occupational history, allergic and respiratory symptoms, physical activity and job stress scores and nutritional habits) and anthropometric measurements, pulmonary function test results were recorded. RESULTS: Although 97% of workers used personal protective equipments, nearly half of workers (47.7%) were complaining of chest symptoms (26% had of cough, 31.5% had sputum and 20% had dyspnea). Chronic bronchitis was recorded in 19.8% of workers, asthma in 15.1% and 12.2 % of respiratory symptoms were related to work. Allergic conjunctivitis was most common among workers (26.7%) followed by allergic rhinitis (20.9%). The most important risk factors as predictors of chronic respiratory symptoms in multivariate logistic regression were age, smoking and areas of high dust exposure. Also, years of experience had negative correlation with FEV1 and FVC% (r= -0.3 ,p= < 0.001), as well as low fruits and vegetables intake and high esinophilic count (r=-0.24, p=0.02) CONCLUSIONS: Age, smoking, high exposure to dust and high eosinophilic count are predictors of chronic respiratory symptoms in cement factory workers. CLINICAL IMPLICATIONS: Smoking cessation programs, frequent work shift from high to low exposure ares and adding fruits and vegetables in their meals must applied to industrial workers in cement factories to reduce the hazard of chronic respiratory illnesses. DISCLOSURES: no disclosure on file for Mariam Elkhayat; no disclosure on file for Hussein Elzayet; no disclosure on file for Azza Ezzeldin; no disclosure on file for Ahmed Khair; No relevant relationships by Aliae Mohamed-Hussein, source=Web Response