Abstract: By downloading the National Natural Science Foundation of China （NSFC） application form of a specialized hospital in Tianjin in 2021,and extracting the basic information,research history and previous achievements of the applicants from the application form,the influencing factors of NSFC project approval are analyzed by single-factor and multi-factor logistic regression. The application of NSFC of the specialized hospital in 2021 is sorted out,the factors affecting the approval of NSFC are identified,and countermeasures are proposed from the management perspective,so as to provide a decision-making basis for the future application of NSFC projects. The single-factor logistic results suggest that five indicators,namely the title of talent,the number of representative SCI publications,the cumulative impact factor of representative publications,the highest impact factor of representative publications,and the cumulative other achievements in the past five years,are significantly associated with the improvement of the odds of receiving funding for science foundation projects. The variables with no co-linearity are selected among those with statistical significance in the univariate analysis,and the variables are introduced by multi-factor unconditional logistic regression （stepwise method）,and the results show that the main factors affecting the funding of NSFC are the title of talent,the cumulative impact factor of representative publications,and other achievements in the last five years. In the fund application work,it should focus on people with PhD degree and certain prior foundation,and do a good job in the application counseling;at the same time,it should strictly grasp the effectiveness of project progress,and focus on the young people after the completion of the study;in addition,it should broaden the scope of performance recognition and strengthen the importance of other achievements.

Key words: National Natural Science Foundation of China （NSFC）, influencing factors, quantitative analysis