Zhe-Ming Tu
Biographic Data
| ID | 7977762 |
|---|---|
| NAME | Zhe-Ming Tu |
| GIVEN NAMES | Zhe-Ming |
| FAMILY NAME | Tu |
| SIGNATURE | TU Z |
| AFFILIATIONS | Yangtze University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Network analysis of comorbid internet addiction, anxiety, and depression symptoms among Chinese junior high school students
Background Internet addiction (IA) frequently co-occurs with anxiety and depression during adolescence. However, traditional latent variable models based on total scores often mask specific symptom-level interactions. This study utilized network analysis to elucidate the fine-grained associations between IA, anxiety, and depression symptoms among Chinese adolescents and to explore potential gender differences in these network structures. Methods …
Network analysis of mental health knowledge and stigma among high school students in Sichuan, China
This network analysis highlights MHKQ10 and MHKQ11 as pivotal targets for stigma reduction, with misconceptions about treatment adherence linking knowledge deficits to devaluation perceptions. Gender-invariant structures suggest universal applicability for school-based interventions, aligning with China's mental health initiatives to enhance literacy and promote equity
No prominent works on this page.
Network analysis of comorbid internet addiction, anxiety, and depression symptoms among Chinese junior high school students
Background Internet addiction (IA) frequently co-occurs with anxiety and depression during adolescence. However, traditional latent variable models based on total scores often mask specific symptom-level interactions. This study utilized network analysis to elucidate the fine-grained associations between IA, anxiety, and depression symptoms among Chinese adolescents and to explore potential gender differences in these network structures. Methods …
Network analysis of mental health knowledge and stigma among high school students in Sichuan, China
This network analysis highlights MHKQ10 and MHKQ11 as pivotal targets for stigma reduction, with misconceptions about treatment adherence linking knowledge deficits to devaluation perceptions. Gender-invariant structures suggest universal applicability for school-based interventions, aligning with China's mental health initiatives to enhance literacy and promote equity
Mental Health Research Topics (2 works) · Addiction (1 works) · Advanced Graph Neural Networks (1 works) · Anhedonia (1 works) · Anxiety (1 works) · China (1 works) · Comorbidity (1 works) · Digital Mental Health Interventions (1 works) · Escapism (1 works) · Impact of Technology on Adolescents (1 works)