Di Liu

Di Liu


Research Focus & Metrics

Academic Career Length

4Years (2023-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2023 in BMC Medical Education
Verified
Journal Article
Open access
PDF file
ZLZheng Liu
Zheng Liu
YXYujin Xie
Yujin Xie
ZSZhuhong Sun
Zhuhong Sun
DLDi Liu
Di Liu
HYHang Yin
Hang Yin
LSLei Shi
Lei Shi
Background: This study aimed to evaluate the current state of academic burnout among Chinese college students and its influencing factors. Methods: A cross-sectional study of 22,983 students was conducted using structured questionnaires and the Maslach Burnout Inventory General Survey on sociodemographic characteristics, educational process, and personal aspects. Multiple variables were statistically evaluated using logistic regression analysis. Results: The total score of the students’ academic burnout was 40.73 (± 10.12) points. The scores for the reduced personal accomplishment, emotional exhaustion, and cynicism were 23.63 (± 6.55), 11.20 (± 6.05), and 5.91 (± 5.31), respectively. Students with academic burnout accounted for 59.9% (13,753/22,983). Male students had higher burnout scores than female students, upper-grade students had higher burnout scores than lower-grade students, and students who smoked had higher burnout than non-smokers during the school day. Conclusions: More than half of students experienced academic burnout. Gender, grade, monthly living expenses, smoking, parents’ education level, study and life pressures, and the current degree of professional knowledge interest significantly impacted academic burnout. An effective wellness program and an annual long-term burnout assessment may sufficiently reduce student burnout.

19 September 2024 in Journal of Affective Disorders
Verified
Journal Article
Closed access
CLChenglu Li
Chenglu Li
CLChunxiao Long
Chunxiao Long
HWHaiyang Wu
Haiyang Wu
GZGuanyun Zhu
Guanyun Zhu
DLDi Liu
Di Liu
LSLei Shi
Lei Shi

6 November 2024 in Molecular Neurobiology
Verified
Journal Article
Closed access
PDF file
MZmingyang zou
mingyang zou
YZYujue Zhang
Yujue Zhang
CDCaiyao Du
Caiyao Du
BYBilin Yang
Bilin Yang
PGPeiwen Guo
Peiwen Guo
CSCaihong Sun
Caihong Sun

28 April 2026 in Acta Psychologica
Verified
Journal Article
Open access
YMYuxin Ma
Yuxin Ma
JWJiaqi Wei
Jiaqi Wei
DLDebao Li
Debao Li
YHYunhao He
Yunhao He
DLDi Liu
Di Liu
LSLei Shi
Lei Shi
The aims of this study was to explore the current condition of burnout, perceived organizational support and turnover intention among medical staff in Shenzhen, the impact of burnout and organizational support on turnover intention is explored to provide data reference and proposal support for hospital managers and related policy makers to take targeted decisions. Selecting medical staff from different hospitals and community health centers in Shenzhen for the questionnaire survey. The independent sample t-test, Pearson correlation analysis and the process plug-in Boostsrap method were used to analyze trends in data. A total of 800 completed questionnaires had 774 valid outcomes and the effective recovery rate was 89.58%. The questionnaire content includes a general information questionnaire, Chinese Maslach Burnout Inventory General Survey, Perceived Organizational Support-Simplified Version scale, and turnover intention scale. There are significant correlation between occupational burnout, turnover intention and perceived organizational support (P < 0.01). Organizational support plays a partial mediating role in the impact of occupational burnout on turnover intention (OR = 0.09, 95% CI:0.06-0.13). There is currently a intention for medical staff to leave their jobs in some degree. Perceived organizational support plays a partial mediating role in the impact of occupational burnout on turnover intention.

17 August 2026 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
LHLinxuan Huang
Linxuan Huang
MYMengyao Yan
Mengyao Yan
WSWendi Sun
Wendi Sun
LDLinsen Dai
Linsen Dai
YGYuxuan Gou
Yuxuan Gou
DLDi Liu
Di Liu
Background: Bedtime procrastination is common among university students and is associated with insufficient sleep and a range of adverse physical and psychological health outcomes. Previous studies have primarily focused on individual factors, such as self-control, mobile phone addiction, and negative emotions, while the interrelationships among future career clarity, learning experiences, exercise, and bedtime procrastination remain largely unexplored. Objective: Based on self-regulation theory, this study aimed to examine the association between future career clarity and bedtime procrastination among university students. It further examined whether learning satisfaction and learning stress statistically mediated this association in sequence, and whether exercise moderated the association between learning satisfaction and bedtime procrastination. Methods: A survey was conducted among 22,983 college students in Northeast China using an online questionnaire combined with respondent-driven sampling. Data were analyzed using partial correlation analysis, mediation effect testing, and moderation effect testing, with effect sizes and confidence intervals (CIs) estimated using the bootstrap method. Results: Partial correlation analysis revealed a significant negative correlation between future career clarity and bedtime procrastination ( r = −0.282, p < 0.001). Mediation effect testing showed that the total indirect effect of future career clarity on bedtime procrastination was significant (effect = −0.1024, 95% CI [−0.1092, −0.0958]), with learning satisfaction and learning stress serving as mediators individually and jointly constituting a chain mediation pathway. Moderation effect analysis indicated that exercise significantly moderated the relationship between learning satisfaction and bedtime procrastination ( β = −0.0135, p < 0.05). The mediation effects were significant for both the low exercise group (simple slopes = −0.1816, LLCI = −0.1966, ULCI = −0.1667) and the high exercise group (simple slopes = −0.2177, LLCI = −0.2467, ULCI = −0.1887), with the negative predictive effect being stronger in the high exercise group. Conclusion: Future career clarity not only negatively predicts bedtime procrastination among college students directly but also exerts an indirect influence through the serial mediating effects of learning satisfaction and learning stress. Exercise plays a positive moderating role in this pathway. Grounded in self-regulation theory, these findings elucidates the relationships among goal setting, emotional monitoring, and behavioral adjustment, providing both a theoretical foundation and practical guidance for universities to reduce college students’ bedtime procrastination through multidimensional approaches such as career planning education, stress management, and the promotion of physical exercise.