Yajuan Yang
Biographic Data
| ID | 7756297 |
|---|---|
| NAME | Yajuan Yang |
| GIVEN NAMES | Yajuan |
| FAMILY NAME | Yang |
| SIGNATURE | YANG Y |
| AFFILIATIONS | Anhui Medical University |
| ORCID | 0000-0001-6630-3707 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2019 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Leveraging Cooperative Learning Algorithms for Early Detection of Mental Health Issues Using Intelligence of Social Things Data
The exponential proliferation of social media and Internet of Things (IoT) technologies has paved the way for transformative applications in public health, particularly for the early detection of mental health concerns. This study introduces an innovative framework leveraging cooperative learning algorithms combined with intelligence of social things (IoST) data to enhance mental health issue detection. By integrating multimodal user data from so…
Moderating effects of insomnia on the association between urinary phthalate metabolites and depressive symptoms in Chinese college students
This study suggests that there is a positive association of phthalate metabolites with depressive symptoms among Chinese college students, as well as insomnia plays a positive moderating role in this association
Moderating Effects of Per3 Gene Dna Methylation on the Association Between Problematic Mobile Phone Use and Chronotype Among Chinese Young Adults
Exploring the relationship between depressive symptoms, problematic smartphone use, and cumulative risk factors in nursing students
BACKGROUND: No single risk factor is decisive in shaping an individual's healthy development. This study aimed to analyze the relationship between depressive symptoms and a cumulative risk index comprising individual, family, and social variables among nursing students. METHODS: tests were used to examine the relationship between the different clusters and the level of depressive symptoms. RESULTS: The mean scores of depressive symptoms increased…
Patterns of smartphone usage associated with depressive symptoms in nursing students
This study provides insights into how the patterns of smartphone usage are associated with the severity of depressive symptoms in nursing students. It indicates that it may primarily be how we use our smartphones rather than how much we use them that poses a risk for depression
Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
Evening chronotype was significantly correlated with higher CM risk among young adults. Our findings suggest that biologically and socially affected sleep timing misalignment is a contributing factor to cardiovascular disease risk
Functional connectivity between the parahippocampal gyrus and the middle temporal gyrus moderates the relationship between problematic mobile phone use and depressive symptoms
Interaction between physical activity and outdoor time on allostatic load in Chinese college students
There were the significant independent and interaction effects between PA and outdoor time on AL. In the future, college students' physical education can be arranged reasonably to reduce the health risks
Breastfeeding Supportive Services in Baby-Friendly Hospitals Positively Influenced Exclusive Breastfeeding Practice at Hospitalization Discharge and Six Months Postpartum
Better breastfeeding supportive services during hospitalization were significantly associated with higher rate of exclusive breastfeeding at discharge and six months postpartum. More effective measures should be adopted to improve the implementation of the breastfeeding supportive services in Baby-Friendly Hospitals to promote exclusive breastfeeding and better maternal and child health
Mediating Effect of Sleep Quality on the Relationship Between Problematic Mobile Phone Use and Depressive Symptoms in College Students
Background and Aim: Problematic mobile phone use (PMPU) and depression are great public health concerns among adolescents. The aim of this study was to determine the association between PMPU and symptoms of depression, as well as the mediating role of sleep quality. Methods: A total of 4,624 college students participated in this study. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU), Pittsburgh Sleep Quality In…
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Mediating Effect of Sleep Quality on the Relationship Between Problematic Mobile Phone Use and Depressive Symptoms in College Students
Background and Aim: Problematic mobile phone use (PMPU) and depression are great public health concerns among adolescents. The aim of this study was to determine the association between PMPU and symptoms of depression, as well as the mediating role of sleep quality. Methods: A total of 4,624 college students participated in this study. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU), Pittsburgh Sleep Quality In…
Breastfeeding Supportive Services in Baby-Friendly Hospitals Positively Influenced Exclusive Breastfeeding Practice at Hospitalization Discharge and Six Months Postpartum
Better breastfeeding supportive services during hospitalization were significantly associated with higher rate of exclusive breastfeeding at discharge and six months postpartum. More effective measures should be adopted to improve the implementation of the breastfeeding supportive services in Baby-Friendly Hospitals to promote exclusive breastfeeding and better maternal and child health
Functional connectivity between the parahippocampal gyrus and the middle temporal gyrus moderates the relationship between problematic mobile phone use and depressive symptoms
Interaction between physical activity and outdoor time on allostatic load in Chinese college students
There were the significant independent and interaction effects between PA and outdoor time on AL. In the future, college students' physical education can be arranged reasonably to reduce the health risks
Patterns of smartphone usage associated with depressive symptoms in nursing students
This study provides insights into how the patterns of smartphone usage are associated with the severity of depressive symptoms in nursing students. It indicates that it may primarily be how we use our smartphones rather than how much we use them that poses a risk for depression
Prospective study of the association between chronotype and cardiometabolic risk among Chinese young adults
Evening chronotype was significantly correlated with higher CM risk among young adults. Our findings suggest that biologically and socially affected sleep timing misalignment is a contributing factor to cardiovascular disease risk
Moderating Effects of Per3 Gene Dna Methylation on the Association Between Problematic Mobile Phone Use and Chronotype Among Chinese Young Adults
Exploring the relationship between depressive symptoms, problematic smartphone use, and cumulative risk factors in nursing students
BACKGROUND: No single risk factor is decisive in shaping an individual's healthy development. This study aimed to analyze the relationship between depressive symptoms and a cumulative risk index comprising individual, family, and social variables among nursing students. METHODS: tests were used to examine the relationship between the different clusters and the level of depressive symptoms. RESULTS: The mean scores of depressive symptoms increased…
Moderating effects of insomnia on the association between urinary phthalate metabolites and depressive symptoms in Chinese college students
This study suggests that there is a positive association of phthalate metabolites with depressive symptoms among Chinese college students, as well as insomnia plays a positive moderating role in this association
Leveraging Cooperative Learning Algorithms for Early Detection of Mental Health Issues Using Intelligence of Social Things Data
The exponential proliferation of social media and Internet of Things (IoT) technologies has paved the way for transformative applications in public health, particularly for the early detection of mental health concerns. This study introduces an innovative framework leveraging cooperative learning algorithms combined with intelligence of social things (IoST) data to enhance mental health issue detection. By integrating multimodal user data from so…
Medicine (9 works) · Clinical Psychology (6 works) · Psychology (6 works) · Impact of Technology on Adolescents (5 works) · Psychiatry (5 works) · Depressive symptoms (4 works) · Internal Medicine (4 works) · Sleep and related disorders (4 works) · Anxiety (3 works) · Association (psychology (3 works)