Background:Doctoral students have much higher risk of anxiety or depression than general population.Doctoral students worldwide are facing varying degrees of mental health risks.Method:Based on the survey data of 6,81...Background:Doctoral students have much higher risk of anxiety or depression than general population.Doctoral students worldwide are facing varying degrees of mental health risks.Method:Based on the survey data of 6,812 doctoral students worldwide in Nature in 2019,Probit and Logit models are used to explore the correlation between thefit of doctoral education and training process and the mental health of doctoral students.Results:(1)The training environmentfit of doctoral students has a significant positive impact on their mental health.(2)The academic professionfit of doctoral students has a significant positive impact on their mental health.(3)The orga-nizational culturefit of doctoral students has a significant positive impact on their mental health.(4)Thefinancial supportfit of doctoral students has a significant positive impact on their mental health.Conclusion:The higher the degree of doctoral students’training environmentfit,academic professionfit,organizational culturefit,andfinancial supportfit,the lower the possibility of anxiety or depression among doctoral students.The current research results can help reveal extensive factors that affect the mental health of doctoral students,facilitate the planning and development of effective intervention measures by universities,improve thefit of the doctoral education and training process,improve the mental health of doctoral students,and boost academic excellence.展开更多
The education of postgraduate students has made substantial progress in China since the inauguration of the academic degree system in 1981. This is true with the University of S&T of China.Up to now,there have bee...The education of postgraduate students has made substantial progress in China since the inauguration of the academic degree system in 1981. This is true with the University of S&T of China.Up to now,there have been 2,476 candidates granted MS degrees and 226 Ph.D degrees at the University,resulting in the emergence of a contingent of top-quality S&T workers,who have become backbone professionals in their working units.展开更多
文摘Background:Doctoral students have much higher risk of anxiety or depression than general population.Doctoral students worldwide are facing varying degrees of mental health risks.Method:Based on the survey data of 6,812 doctoral students worldwide in Nature in 2019,Probit and Logit models are used to explore the correlation between thefit of doctoral education and training process and the mental health of doctoral students.Results:(1)The training environmentfit of doctoral students has a significant positive impact on their mental health.(2)The academic professionfit of doctoral students has a significant positive impact on their mental health.(3)The orga-nizational culturefit of doctoral students has a significant positive impact on their mental health.(4)Thefinancial supportfit of doctoral students has a significant positive impact on their mental health.Conclusion:The higher the degree of doctoral students’training environmentfit,academic professionfit,organizational culturefit,andfinancial supportfit,the lower the possibility of anxiety or depression among doctoral students.The current research results can help reveal extensive factors that affect the mental health of doctoral students,facilitate the planning and development of effective intervention measures by universities,improve thefit of the doctoral education and training process,improve the mental health of doctoral students,and boost academic excellence.
文摘The education of postgraduate students has made substantial progress in China since the inauguration of the academic degree system in 1981. This is true with the University of S&T of China.Up to now,there have been 2,476 candidates granted MS degrees and 226 Ph.D degrees at the University,resulting in the emergence of a contingent of top-quality S&T workers,who have become backbone professionals in their working units.
