Tsukasa Ueno
Biographic Data
| ID | 9008314 |
|---|---|
| NAME | Tsukasa Ueno |
| GIVEN NAMES | Tsukasa |
| FAMILY NAME | Ueno |
| SIGNATURE | UENO T |
| AFFILIATIONS | Kyoto University |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Association between maternal overprotection and premenstrual disorder
BACKGROUND: Premenstrual disorder (PMD), which includes premenstrual syndrome and premenstrual dysphoric disorder, has a complex pathogenesis and may be closely related to emotional cognition and memory. However, the mechanisms underlying these associations remain unclear. Therefore, this study used machine learning to explore the roles of various factors that are not typically considered risk-factors for PMD. METHODS: A predictive model for PMD …
Mental Health Problems and Their Association With Internet Use in Medical Residents
Objectives: Mental health problems (MHP) among medical residents are often found in clinical settings, and it sometimes leads to professional lapses. Evidence suggests that excessive Internet use (IU) is associated with MHP. We investigated residents' MHP assessing depression, anxiety, and self-esteem and their association with IU in a longitudinal design. Methods: A total of 208 residents participated in the study. The General Health Questionnai…
No prominent works on this page.
Mental Health Problems and Their Association With Internet Use in Medical Residents
Objectives: Mental health problems (MHP) among medical residents are often found in clinical settings, and it sometimes leads to professional lapses. Evidence suggests that excessive Internet use (IU) is associated with MHP. We investigated residents' MHP assessing depression, anxiety, and self-esteem and their association with IU in a longitudinal design. Methods: A total of 208 residents participated in the study. The General Health Questionnai…
Association between maternal overprotection and premenstrual disorder
BACKGROUND: Premenstrual disorder (PMD), which includes premenstrual syndrome and premenstrual dysphoric disorder, has a complex pathogenesis and may be closely related to emotional cognition and memory. However, the mechanisms underlying these associations remain unclear. Therefore, this study used machine learning to explore the roles of various factors that are not typically considered risk-factors for PMD. METHODS: A predictive model for PMD …
Medicine (2 works) · Psychology (2 works) · Clinical Psychology (1 work) · Computer Science (1 work) · Confidence interval (1 work) · COVID-19 and Mental Health (1 work) · Developmental psychology (1 work) · Digital Mental Health Interventions (1 work) · Family medicine (1 work) · Follicular phase (1 work)