Abstract: Objective To understand the quality of life of workers in the thermal power industry in Shanxi Province and its influencing factors,and to provide a scientific basis for further improving the quality of workers' living and carrying out intervention activities. Methods From 2023 to 2024,according to the multi-stage sampling method,899 front-line workers in 19 thermal power generation industries in Shanxi Province were randomly selected using the self-made general situation questionnaire and the quality of life scale（WHOQOL-BREF Chinese version）,and the quality of life of thermal workers was evaluated from four dimensions：physiological,psychological,social and environmental,along with self-assessment scores. Results Among the 899 respondents,420（46.7%） felt that their survival quality was good or very good,and 541（60.2%） were satisfied or very satisfied with their health. The quality of life physiology,psychology,social relations,environment and self-assessment scores M（P₂₅,P₇₅） were 71.43（60.71,78.57）,66.67（58.33,79.17）,75.00（58.33,75.00）,59.38（53.12,68.75） and 89.00（80.00,90.00）points,respectively. The four dimensions of quality of life were positively correlated with self-assessment scores（r=0.487-0.542,all P<0.01）. Gender,education level,average monthly income,weekly physical exercise frequency,whether there were respiratory diseases,whether to actively acquire health knowledge,types of exposure to harmful factors,satisfaction with unit welfare and other factors were related to one or more areas or self-assessment scores of the quality of life,and the differences in scores in each dimension were statistically significant（all P<0.05）. Conclusion The quality of life of workers in the thermal power generation industry in Shanxi Province needs to be further improved,and the quality of life of workers can be improved by improving the income level of workers and enterprise welfare,improving the working environment,and arranging working hours reasonably.

Key words: Quality of life, Thermal power generation industry, WHOQOL-BREF scale, Influencing factors