Abstract: Objective Taking manufacturing workers in Shenzhen City as the survey object，to analyze the impact of demographic characteristics and different shift conditions on their sleep quality，so as to provide empirical basis for industrial enterprises to reasonably formulate shift system. Methods The general data questionnaire and Pittsburgh sleep quality index（PSQI） were used to investigate 926 manufacturing workers in Shenzhen City by random sampling from January 2020 to January 2021，and the data were analyzed. Results The total PSQI score of 926 manufacturing workers in Shenzhen City was（5.07±3.48）points. The seven component scores were as follows：subjective sleep quality（0.98±0.83）points，sleep latency（0.98±0.93）points，sleep time（0.90±0.70）points，sleep efficiency（0.44±0.83）points，sleep disorder（0.78±0.67）points，hypnotic drugs（0.02±0.22）points and daytime dysfunction（0.97±0.96）points.The total score of PSQI and scores of each dimension were significantly different from the domestic norms（all P<0.05）.Except for hypnotic drugs，other scores were higher than the domestic norms. There were statistically significantdifferences in the subjective sleep quality scores among workers in different gender，age，marital status，family per capita monthly income，smoking and drinking，and basic health status（all P<0.05）.There were statistically significantdifferences in sleep latencyscores among workers in different marital status，smoking and drinking，and basic health status（all P<0.05）.There were statistically significantdifferences in sleep timescores among workers in different marital status，smoking and drinking（all P<0.05）.There were statistically significantdifferences in sleep efficiencyscores among workers in different gender and drinking（all P<0.05）.There were statistically significantdifferences in sleep disorderscores among workers in education level and basic health status（both P<0.05）.There were statistically significantdifferences in daytime dysfunctionscores among workers in different gender，age，educational level，marital status，family per capita monthly income，smoking and drinking，drinking tea，and basic health status（all P<0.05）.There were statistically significantdifferences in total score of PSQI among workers in different gender，age，educational level，marital status，smoking and drinking，and basic health status（all P<0.05）.There were statistically significantdifferences in scores of subjective sleep quality，sleep disorder，daytime dysfunction and the total score of PSQI among workers in different types of work，shift types and shift frequencies（all P<0.05）.There were statistically significantdifferences in sleep efficiencyscores among workers in different shift types and shift frequencies （all P<0.05）.There were statistically significantdifferences inscores of sleep time and sleep efficiency among workers in different shift types （all P<0.05）. The shift type，education level，basic health status，drinking，shift frequency，age，marital status and type of work entered the regression equation. Conclusions The demographic characteristics，such as different educational level，basic health status，drinking，age and marital status，have a significant impact on sleep quality among manufacturing workers in ShenzhenCity，while shift types，shift frequencies and types of work have a significant impact on sleep quality. The industrial enterprisescan establish employee sleep quality files，reasonably arrange jobs，optimize shift system，improve the sleep quality of employees，and promote the health of employees.

Key words: Sleep quality, Shenzhen City, Manufacturing workers, Influencing factors