Yao Sun

Ms. Yao Sun

The Education University of Hong Kong
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

View All Publications
Yao SunYao Sun
Yao Sun
SLShiang-Yi Lin
Shiang-Yi Lin
Kevin Kien Hoa ChungKevin Kien Hoa Chung
Kevin Kien Hoa Chung
The coronavirus (COVID-19) pandemic has adversely affected individuals’ mental health. Social isolation as a result of social distancing during the pandemic potentially affects the associations among perceived available peer support, emotional well-being, and depression in university students. The present study examined the associations among university students’ perceived available peer support, emotional well-being (as indicated negatively by loneliness and negative affects and positively by positive affects and hope), and depressive symptoms. During the third wave of the COVID-19 outbreak in July, 2020, 255 students at a public university in Hong Kong participated in an online-based survey that assessed their perceived available peer support, emotional well-being, and depressive symptoms. Results showed that perceived available peer support negatively contributed to depressive symptoms; both negative and positive indicators of emotional well-being mediated the association between perceived available peer support and depressive symptoms. Our results also suggested that university students showed signs of elevated depressive symptoms during the pandemic. Thus, our study advanced the theoretical understanding of university students’ mental health in the time of a global pandemic. Our study also highlighted the practical needs for preventive efforts and accessible care to support the psychological and emotional needs of young people during the COVID-19 pandemic.

6 April 2021 in Current Psychology
Verified
Journal Article
Closed access
PDF file
JLJian-bin Li
Jian-bin Li
YWYing-Shuang Wang
Ying-Shuang Wang
Yao SunYao Sun
Yao Sun
YLYue Liang
Yue Liang
KDKai Dou
Kai Dou

17 August 2021 in Journal of Child and Family Studies
Verified
Journal Article
Closed access
PDF file
Yao SunYao Sun
Yao Sun
JLJian-Bin Li
Jian-Bin Li
MOMaulia Pijarhati M. Oktaufik
Maulia Pijarhati M. Oktaufik
AVAlexander T. Vazsonyi
Alexander T. Vazsonyi



18 December 2018 in Frontiers in Public Health
Verified
Journal Article
Open access
PDF file
LZLeonardo Zaninotto
Leonardo Zaninotto
JQJia Qian
Jia Qian
Yao SunYao Sun
Yao Sun
GBGiulia Bassi
Giulia Bassi
MSMarco Solmi
Marco Solmi
SSSilvia Salcuni
Silvia Salcuni
A sample of undergraduate Psychology students (n = 1005), prevalently females (82.4%), mean age 20.5 (sd 2.5), was examined regarding their attitudes toward people suffering from mental illness. The survey instrument included a brief form for demographic variables, the Attribution Questionnaire-9 (AQ-9), the Ten Items Personality Inventory (TIPI), and two questions exploring attitudes toward open-door and restraint-free policies in Psychiatry. Higher levels of stigmatizing attitudes were found in males (Pity, Blame, Help, and Avoidance) and in those (76.5%) who had never had any experience with psychiatric patients (Danger, Fear, Blame, Segregation, Help, Avoidance and Coercion). A similar trend was also found in those who don't share the policy of no seclusion/restraint, while subjects who are favorable to open-door policies reported higher Coercion scores. No correlations were found between dimensions of stigma and personality traits. A machine learning approach was then used to explore the role of demographic, academic and personality variables as predictors of stigmatizing attitudes. Agreeableness and Extraversion emerged as the most relevant predictors for blaming attitudes, while Emotional Stability and Openness appeared to be the most effective contributors to Anger. Our results confirmed that a training experience in Psychiatry might successfully reduce stigma in Psychology students. Further research, with increased generalizability of samples and more reliable instruments, should address the role of personality traits and gender on attitudes toward people suffering from mental illness.