Cigarette smoking is a leading cause of preventable death. Over the past decades, hundreds of epidemiological researches have been found strong associations between smoking and a variety of diseases. Currently, the majority of research on the adverse effects of smoking and on smoking behavior relies on the collection of questionnaire data. The aims of this study were to evaluate of the accuracy of self-reported smoking questionnaire and correlation among different smoking models. A total of 155 male workers who agreed to participate in this smoking questionnaire survey were recruited. This study determines the cut-off point for smoking as cotinine concentration in urine of 300 ng/ml. The results revealed relative sensitivity and specificity of 96.7% and 90.5% respectively. The Chi-square test showed that cotinine concentration in urine was significantly related to the smoking behavior. The results of this study clearly revealed that the concentration of cotinine in urine was consistent with the results of smoking behavior, degree of nicotine dependence and degree of smoke inhalation into the lungs, as a result, the cotinine concentration in the urine was a good biomarker.