目的:了解沐浴场所从业人员呼吸系统症状自报率，分析东、中和西部地区差异及影响因素。方法:2017年4月至12月，采用多阶段随机抽样法，选取全国部分地区沐浴场所从业人员3 865人作为调查对象，调查其人口学特征、文化程度、家庭收入、生活习惯、自评环境因素和呼吸系统症状自报率等内容，应用logistic回归模型分析其影响因素及地区差异。结果:东、中和西部地区从业人员呼吸系统症状自报率分别为17.86%（269/1 506）、10.66%（126/1 182）和31.01%（365/1 177）。东部地区影响因素为年龄、家庭收入、饮酒、忽冷忽热、空气中有灰尘（n P<0.05）；中部地区影响因素为饮酒、忽冷忽热、通风不好、空气中有灰尘（n P<0.05）；西部地区影响因素为性别、饮酒、忽冷忽热、通风不好（n P<0.05），东、中、西部地区呼吸系统症状自报率存在差异，差异有统计学意义（n P<0.01）。n 结论:我国沐浴场所从业人员呼吸系统症状自报率具有地区差异，经济状况、生活习惯和环境因素是主要影响因素。“,”Objective:To understand the self-reporting rate of respiratory symptoms in bathing staff, and analyze the differences and influencing factors in the eastern, central and western regions.Methods:From April to December 2017, adopt the method of multistage random sampling, the selection of the national 3865 effective questionnaires were bathing places practitioners, survey from personnel of course of demographic characteristics, cultural degree, family income, living habits, since the evaluation of environmental factors and respiratory symptoms such as self-reported rate content, using logistic regression model to analyze its influencing factors and regional differences.Results:The prevalence of self-reported respiratory symptoms among employees in the eastern, central, and western regions was 17.86% (269/1 506) , 10.66% (126/1 182) , and 31.01% (365/1 177) respectively. The influencing factors in the eastern region are “age”, “family income”, “whether drinking”, “environment is suddenly cold and hot”, “dust in the air” (n P<0.05) ; the influencing factors in the central region are “whether drinking”, “environment suddenly cold and hot”, “ poor ventilation”, “dust in the air” (n P<0.05) . The influencing factors in the western region are “gender”, “whether drinking”, “environment suddenly cold and hot”, “poor ventilation” (n P<0.05) . There are statistically significant differences in eastern, central and western regions (n P<0.01) .n Conclusion:The prevalence of respiratory symptoms among bathing practitioners in China varies from region to region. Economic conditions, living habits, and environmental factors are the main influencing factors.