Bu Zhong

Dr. Bu Zhong

Donald P. Bellisario College of Communications, Pennsylvania State University, 7 Carnegie, University Park, PA 16802, USA
orcid

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

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

Representative Publications

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1 May 2011 in Computers in Human Behavior
Verified
Journal Article
Closed access
Bu ZhongBu Zhong
Bu Zhong
MHMarie Hardin
Marie Hardin
TSTao Sun
Tao Sun

9 April 2022 in Computers in Human Behavior
Verified
Journal Article
Closed access
LXLola Xie
Lola Xie
JPJuliet Pinto
Juliet Pinto
Bu ZhongBu Zhong
Bu Zhong

1 September 2018 in Computers in Human Behavior
Verified
Journal Article
Closed access
YZYue Zheng
Yue Zheng
Bu ZhongBu Zhong
Bu Zhong
FYFan Yang
Fan Yang

1 July 2013 in Computers in Human Behavior
Verified
Journal Article
Closed access
Bu ZhongBu Zhong
Bu Zhong

31 December 2020 in Journal of Medical Internet Research
Verified
Journal Article
Open access
Bu ZhongBu Zhong
Bu Zhong
ZJZhibin Jiang
Zhibin Jiang
WXWenjing Xie
Wenjing Xie
XQXuebing Qin
Xuebing Qin
Background: Considerable research has been devoted to examining the mental health conditions of patients with COVID-19 and medical staff attending to these patients during the COVID-19 pandemic. However, there are few insights concerning how the pandemic may take a toll on the mental health of the general population, and especially of nonpatients (ie, individuals who have not contracted COVID-19). Objective: This study aimed to investigate the association between social media use and mental health conditions in the general population based on a national representative sample during the peak of the COVID-19 outbreak in China. Methods: We formed a national representative sample (N=2185) comprising participants from 30 provinces across China, who were the first to experience the COVID-19 outbreak in the world. We administered a web-based survey to these participants to analyze social media use, health information support received via social media, and possible psychiatric disorders, including secondary traumatic stress (STS) and vicarious trauma (VT). Results: Social media use did not cause mental health issues, but it mediated the levels of traumatic emotions among nonpatients. Participants received health information support via social media, but excessive social media use led to elevated levels of stress (β=.175; P<.001), anxiety (β=.224; P<.001), depression (β=.201; P<.001), STS (β=.307; P<.001), and VT (β=.688; P<.001). Geographic location (or geolocation) and lockdown conditions also contributed to more instances of traumatic disorders. Participants living in big cities were more stressed than those living in rural areas (P=.02). Furthermore, participants from small cities or towns were more anxious (P=.01), stressed (P<.001), and depressed (P=.008) than those from rural areas. Obtaining more informational support (β=.165; P<.001) and emotional support (β=.144; P<.001) via social media increased their VT levels. Peer support received via social media increased both VT (β=.332; P<.001) and STS (β=.130; P<.001) levels. Moreover, geolocation moderated the relationships between emotional support on social media and VT (F2=3.549; P=.029) and the association between peer support and STS (F2=5.059; P=.006). Geolocation also interacted with health information support in predicting STS (F2=5.093; P=.006). Conclusions: COVID-19 has taken a severe toll on the mental health of the general population, including individuals who have no history of psychiatric disorders or coronavirus infection. This study contributes to the literature by establishing the association between social media use and psychiatric disorders among the general public during the COVID-19 outbreak. The study findings suggest that the causes of such psychiatric disorders are complex and multifactorial, and social media use is a potential factor. The findings also highlight the experiences of people in China and can help global citizens and health policymakers to mitigate the effects of psychiatric disorders during this and other public health crises, which should be regarded as a key component of a global pandemic response.

28 September 2017 in Journalism & Mass Communication Quarterly
Verified
Journal Article
Open access
FYFan Yang
Fan Yang
Bu ZhongBu Zhong
Bu Zhong
AKAkhil Kumar
Akhil Kumar
SCSy-Miin Chow
Sy-Miin Chow
AOAnn Ouyang
Ann Ouyang
Longitudinal social network analyses were conducted to examine social support exchange among patients with irritable bowel syndrome (IBS) on an online health forum. The analyses of 90,965 messages posted by 9,369 patients from 2008 to 2012 suggest that both receiving and offering support significantly encourage continuous social support exchange. Patients, however, were less likely to offer further social support when they kept reciprocating support only with certain individuals on the forum. Sentiment analysis indicates that self-disclosing one’s emotions during support seeking serves as a significant predictor for the amount of social support the support-seeker could obtain. Theoretical and practical implications are discussed.