Lei Han

Prof. Dr. Lei Han


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

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

Representative Publications

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1 November 2017 in Computers in Human Behavior
Verified
Journal Article
Closed access
LHLei Han
Lei Han
JGJingyu Geng
Jingyu Geng
MJMin Jou
Min Jou
FGFengqiang Gao
Fengqiang Gao
HYHuayong Yang
Huayong Yang

1 July 2018 in Computers in Human Behavior
Verified
Journal Article
Closed access
JGJingyu Geng
Jingyu Geng
LHLei Han
Lei Han
FGFengqiang Gao
Fengqiang Gao
MJMin Jou
Min Jou
CHChun-Chiang Huang
Chun-Chiang Huang

7 October 2019 in Current Psychology
Verified
Journal Article
Closed access
PDF file
JZJinzhe Zhao
Jinzhe Zhao
GMGuangteng Meng
Guangteng Meng
YSYue Sun
Yue Sun
YXYuqing Xu
Yuqing Xu
JGJingyu Geng
Jingyu Geng
LHLei Han
Lei Han

16 September 2021 in JMIR Public Health and Surveillance
Verified
Journal Article
Open access
LHLei Han
Lei Han
YZYanru Zhan
Yanru Zhan
WLWeizi Li
Weizi Li
YXYuqing Xu
Yuqing Xu
YXYan Xu
Yan Xu
JZJinzhe Zhao
Jinzhe Zhao
Background: The outbreak of the COVID-19 pandemic has caused great panic among the public, with many people suffering from adverse stress reactions. To control the spread of the pandemic, governments in many countries have imposed lockdown policies. In this unique pandemic context, people can obtain information about pandemic dynamics on the internet. However, searching for health-related information on the internet frequently increases the possibility of individuals being troubled by the information that they find, and consequently, experiencing symptoms of cyberchondria. Objective: We aimed to examine the relationships between people’s perceived severity of the COVID-19 pandemic and their depression, anxiety, and stress to explore the role of cyberchondria, which, in these relationship mechanisms, is closely related to using the internet. In addition, we also examined the moderating role of lockdown experiences. Methods: In February 2020, a total of 486 participants were recruited through a web-based platform from areas in China with a large number of infections. We used questionnaires to measure participants’ perceived severity of the COVID-19 pandemic, to measure the severity of their cyberchondria, depression, anxiety, and stress symptoms, and to assess their lockdown experiences. Confirmatory factor analysis, exploratory factor analysis, common method bias, descriptive statistical analysis, and correlation analysis were performed, and moderated mediation models were examined. Results: There was a positive association between perceived severity of the COVID-19 pandemic and depression (β=0.36, t=8.51, P<.001), anxiety (β=0.41, t=9.84, P<.001), and stress (β=0.46, t=11.45, P<.001), which were mediated by cyberchondria (β=0.36, t=8.59, P<.001). The direct effects of perceived severity of the COVID-19 pandemic on anxiety (β=0.07, t=2.01, P=.045) and stress (β=0.09, t=2.75, P=.006) and the indirect effects of cyberchondria on depression (β=0.10, t=2.59, P=.009) and anxiety (β=0.10, t=2.50, P=.01) were moderated by lockdown experience. Conclusions: The higher the perceived severity of the COVID-19 pandemic, the more serious individuals’ symptoms of depression, anxiety, and stress. In addition, the associations were partially mediated by cyberchondria. Individuals with higher perceived severity of the COVID-19 pandemic were more likely to develop cyberchondria, which aggravated individuals’ depression, anxiety, and stress symptoms. Negative lockdown experiences exacerbated the COVID-19 pandemic’s impact on mental health.

1 April 2020 in Personality and Individual Differences
Verified
Journal Article
Closed access
JZJinzhe Zhao
Jinzhe Zhao
FGFengqiang Gao
Fengqiang Gao
YXYuqing Xu
Yuqing Xu
YSYue Sun
Yue Sun
LHLei Han
Lei Han

1 May 2020 in Computers in Human Behavior
Verified
Journal Article
Closed access
LHLei Han
Lei Han
MXMengshi Xiao
Mengshi Xiao
MJMin Jou
Min Jou
LHLixia Hu
Lixia Hu
RSRui Sun
Rui Sun
ZZZhijin Zhou
Zhijin Zhou