Analysis on influencing factors of workers'personal protective equipment usage in a city

Abstract

Objective To understand influencing factors on workers' personal protective equipment (PPE) usage, and provide a basis for standardizing the 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 use of PPE and were approved by occupational health managers of employing units were included in the correct use group and others in the use group. χ2 test was used to analyze the 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 at full time (51.9%) , and other workers never used or occasionally used PPE. There were statistical difference of usage rate among workers of different sex, industry and wage type (P<0.05) . Occupational health supervisors setting example in usage (β=0.368) , workmates using correctly and reminding 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 (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 usage is influenced by a variety of factors. Comprehensive measures should be taken by employers to ensure using to protect workers' occupational health. Key words: Personal protective equipment; Occupational population; Influencing factors; Correct usage rate