Xiayong Wang
Biographic Data
| ID | 7856617 |
|---|---|
| NAME | Xiayong Wang |
| GIVEN NAMES | Xiayong |
| FAMILY NAME | Wang |
| SIGNATURE | WANG X |
| AFFILIATIONS | Southern Medical University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Subgroups of depressive symptoms determined by a latent class analysis in a Chinese college students population during Covid-19
Prevalence and associated factors of depression, anxiety and suicidality among Chinese high school E-learning students during the Covid-19 lockdown
An Unusual College Experience
Most participants showed a stable mental health status, while others experienced deteriorating or chronic mental health problems, especially those who had sleep disturbances, less social support before the pandemic, or conflicts with parents during the pandemic. These students may need additional support and monitoring from college mental health providers to improve their wellbeing
Trajectories of Job Burnout among Bus Drivers in China
This study aimed to characterize job burnout in longitudinal trajectories among bus drivers and examine the impact of variables related to job burnout for trajectories. A longitudinal study was conducted in 12,793 bus drivers in Guangdong province, China, at 3-year follow-up assessments. Growth mixture modeling (GMM) was used to estimate latent classes of burnout trajectories and multinomial logistic regression models were applied to predict memb…
No prominent works on this page.
Trajectories of Job Burnout among Bus Drivers in China
This study aimed to characterize job burnout in longitudinal trajectories among bus drivers and examine the impact of variables related to job burnout for trajectories. A longitudinal study was conducted in 12,793 bus drivers in Guangdong province, China, at 3-year follow-up assessments. Growth mixture modeling (GMM) was used to estimate latent classes of burnout trajectories and multinomial logistic regression models were applied to predict memb…
Prevalence and associated factors of depression, anxiety and suicidality among Chinese high school E-learning students during the Covid-19 lockdown
An Unusual College Experience
Most participants showed a stable mental health status, while others experienced deteriorating or chronic mental health problems, especially those who had sleep disturbances, less social support before the pandemic, or conflicts with parents during the pandemic. These students may need additional support and monitoring from college mental health providers to improve their wellbeing
Subgroups of depressive symptoms determined by a latent class analysis in a Chinese college students population during Covid-19
Logistic regression (4 works) · Anxiety (3 works) · Clinical Psychology (3 works) · COVID-19 and Mental Health (3 works) · Medicine (3 works) · Multinomial logistic regression (3 works) · Psychiatry (3 works) · Psychology (3 works) · Clinical Psychology (2 works) · Depression (economics (2 works)