Objective:To investigate epidemiological characteristics and influencing factors on dust-exposed working years of pneumoconiosis cases in Yantai.Methods:In January 2020, By Cluster sampling way, Using descriptive statistics to analyze dust-exposed working years of the reported 3307 new cases of pneumoconiosis from 2009 to 2019 in Yantai. Analyzing the variation trends by the chi-square trend test. Analyzing single fator by chi-square test. Using multiple classification Logistic Regression analysis to analyze multiple influencing factors.Results:The dust-exposed working age of pneumoconiosis cases decreased by years ( P<0.05) . The starting age of dust exposure of cases increased year by year, while positively correlated with the dust-exposed working age ( r=-0.217, P<0.05) . The years of dust exposure, starting age of dust exposure, industry, type of economy and scale of enterprise were main influence factors on the dust-exposed working age of pneumoconiosis cases. Conclusion:We should strengthen the management on prevention and control condition of pneumoconiosis in metal smelting and processing industry and privately-owned, small and micro enterprises, and pay attention to workers starting exposed to dust in the age of ≥28 years old.

Objective:To investigate epidemiological characteristics and influencing factors on dust-exposed working years of pneumoconiosis cases in Yantai.Methods:In January 2020, By Cluster sampling way, Using descriptive statistics to analyze dust-exposed working years of the reported 3307 new cases of pneumoconiosis from 2009 to 2019 in Yantai. Analyzing the variation trends by the chi-square trend test. Analyzing single fator by chi-square test. Using multiple classification Logistic Regression analysis to analyze multiple influencing factors.Results:The dust-exposed working age of pneumoconiosis cases decreased by years ( P<0.05) . The starting age of dust exposure of cases increased year by year, while positively correlated with the dust-exposed working age ( r=-0.217, P<0.05) . The years of dust exposure, starting age of dust exposure, industry, type of economy and scale of enterprise were main influence factors on the dust-exposed working age of pneumoconiosis cases. Conclusion:We should strengthen the management on prevention and control condition of pneumoconiosis in metal smelting and processing industry and privately-owned, small and micro enterprises, and pay attention to workers starting exposed to dust in the age of ≥28 years old.

Objective: To understand influencing factors on workers' personal protective equipment (PPE) usage, and provide a basis for standardizing the PPE use in the city. Methods: The basic information of workers exposed to occupational hazards in a municipal area was imported into SPSS 18.0 and numbered sequentially in May 2018. A simple random sampling method was used to select 1 678 workers as the research object, and then a questionnaire survey was conducted from June to July 2018. In the valid questionnaires collected, workers who self-rated as "full-time correct use of PPE" and were approved by occupational health managers of employing units were included in the "correct use group" and others in the "incorrect use group". χ² test was used to analyze the PPE use of different factors, and binary unconditional logistic regression analysis was used to analyze the influencing factors. Results: 1547 valid questionnaires were collected in this study, including 803 workers correctly used PPE at full time (51.9%) , and other workers never used or occasionally used PPE. There were statistical difference of PPE usage rate among workers of different sex, industry and wage type (P<0.05) . Occupational health supervisors setting example in PPE usage (β=0.368) , workmates using PPE correctly and reminding PPE usage (β=0.891) , posting warning specifications of occupational hazards (β=0.361) , setting up "safe man" at the entrance of workshop (β=0.585) , WeChat and other new media on occupational health knowledge propaganda (β=0.536) , punishing incorrect usage of PPE (β=0.252) 、sex (β=-0.512) and wage type (β=-0.203) are influencing factors affecting the usage of PPE. Conclusion PPE usage rate of the occupational population in the city is still fairly low, and the PPE usage is influenced by a variety of factors. Comprehensive measures should be taken by employers to ensure using PPE to protect workers' occupational health.