Pipat LuksamijarulkulSumawadee KornkrerkkiatChayaporn SaranpuettiDusit Sujiraratพิพัฒน์ ลักษมีจรัลกุลชญาภรณ์ ศรัณพฤติดุสิต สุจิรารัตน์Mahidol university. Faculty of Public Health. Department of Microbiology.2014-04-212017-06-272014-04-212017-06-272014-04-21Soil and Water Research. Vol.7, 2014, 11-17https://repository.li.mahidol.ac.th/handle/20.500.14594/2185A cross-sectional study of 160 water samples collected from 72 cooling towers in 4 hospitals, 7 department stores, and 3 hotels in Bangkok was carried out to investigate Legionella pneumophila contamination and its predictive factors. All water samples were cultured for Legionella spp. and tested for L. pneumophila by real-time polymerase chain reaction (PCR). Some cooling tower parameters were measured and recorded. Data were analyzed using χ2-test, odds ratio and stepwise logistic regression analysis at the significant level of a = 0.05. Results revealed that the Legionella spp. contamination was 20.0% (32/160) and for L. pneumophila was 61.3% (98/160). The sensitivity of real-time PCR was higher than that of the culture. Factors significantly asso-ciated with L. pneumophila contamination by χ2-test were: the cooling tower model, size, use duration, pH, water temperature, use of ozone, and residual free chlorine (95% CI of OR  1.0, P  0.05). After stepwise logistic regression analysis, four predictive factors remained. These included the cooling tower model being a cross-flow type (adjusted OR = 3.1, 95% CI = 1.2–7.8, P = 0.017), use duration 5 years (adjusted OR = 3.6, 95% CI = 1.3–10.1, P = 0.016), water temperature 29.4°C (adjusted OR = 7.9, 95% CI = 2.1–29.6, P = 0.002), and residual free chlorine 0.2 ppm (adjusted OR = 8.5, 95% CI = 2.1–34.9, P = 0.003). Additionally, the risk probability for L. pneumophila contamination was estimated to be 13.9–97.1%, depending on the combination of predictive factors.engMahidol University.Cooling towerLegionella pneumophilaRisk of contaminationReal-time PcrOpen Access articleArticle10.4137/ASWR.S12972