No retraction, correction or concern found when last checked on Oct 18, 2026.
Mental Health, Risk Factors, and Social Media Use During the COVID-19 Epidemic and Cordon Sanitaire Among the Community and Health Professionals in Wuhan, China: Cross-Sectional Survey
Michael Y Ni, Lin Yang, Candi M C Leung and 6 more
JMIR Mental Health · 2020
Abstract
Background. The mental health consequences of the coronavirus disease (COVID-19) pandemic, community-wide interventions, and social media use during a pandemic are unclear. The first and most draconian interventions have been implemented in Wuhan, China, and these countermeasures have been increasingly deployed by countries around the world.
Objective. The aim of this study was to examine risk factors, including the use of social media, for probable anxiety and depression in the community and among health professionals in the epicenter, Wuhan, China.
Methods. We conducted an online survey via WeChat, the most widely used social media platform in China, which was administered to 1577 community-based adults and 214 health professionals in Wuhan. Probable anxiety and probable depression were assessed by the validated Generalized Anxiety Disorder-2 (cutoff ≥3) and Patient Health Questionnaire-2 (cutoff ≥3), respectively. A multivariable logistic regression analysis was used to examine factors associated with probable anxiety and probable depression.
Results. Of the 1577 community-based adults, about one-fifth of respondents reported probable anxiety (n=376, 23.84%, 95% CI 21.8-26.0) and probable depression (n=303, 19.21%, 95% CI 17.3-21.2). Similarly, of the 214 health professionals, about one-fifth of surveyed health professionals reported probable anxiety (n=47, 22.0%, 95% CI 16.6-28.1) or probable depression (n=41, 19.2%, 95% CI 14.1-25.1). Around one-third of community-based adults and health professionals spent ≥2 hours daily on COVID-19 news via social media. Close contact with individuals with COVID-19 and spending ≥2 hours daily on COVID-19 news via social media were associated with probable anxiety and depression in community-based adults. Social support was associated with less probable anxiety and depression in both health professionals and community-based adults.
Conclusions. The internet could be harnessed for telemedicine and restoring daily routines, yet caution is warranted toward spending excessive time searching for COVID-19 news on social media given the infodemic and emotional contagion through online social networks. Online platforms may be used to monitor the toll of the pandemic on mental health.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 18, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
The World Health Organization (WHO) has raised its global risk assessment of the coronavirus disease (COVID-19) to the highest level. The WHO-China Joint Mission on Coronavirus Disease 2019 has called for a worldwide response to draw on China’s extensive experience of nonpharmaceutical interventions (NPIs). NPIs aim to modify behavior to reduce the spread of infectious diseases. The first and most draconian NPIs to date have been implemented in Wuhan, China. Countries around the world including France, Germany, Iran, Italy, Philippines, Kenya, Spain, the United Kingdom, and the United States have since deployed stringent interventions used in Wuhan.
The widespread lockdowns and stringent measures that require or encourage people to stay at home could result in more time spent on social media, particularly on searching for news or information about the pandemic. Although the psychological impact of quarantine has been documented, the mental health consequences of the COVID-19 pandemic, community-wide NPIs, and social media use during a pandemic are unclear. Social media could mitigate the mental health impact of COVID-19 and lockdowns by maintaining social support during physical distancing, as well as providing health information, telemedicine, and online psychological counseling. Yet social media can also spread negative emotions, rumors, and fake news during an epidemic. In this paper, we examined risk factors including the use of social media for probable anxiety and depression in the original epicenter, Wuhan, China, and during the first month of the cordon sanitaire (Figure 1).
Study Design and Participants
We conducted an online survey via WeChat, the most widely used social media platform with a prevalence reaching over 90% in major cities in China. We selected WeChat as the lockdown and enrollment of health professionals precluded in-person surveys and random digit dialing, respectively. Adults 18 years or older in Wuhan City during the cordon sanitaire were recruited for this study. Participants who were diagnosed with COVID-19 infections were excluded. Two sociodemographic groups, community-based adults and health professionals in Wuhan, were purposively sampled. We conducted the survey shortly after the neighborhood-level lockdown on February 16, 2020, and during the first month of the cordon sanitaire (Figure 1).
During the lockdown, residential complexes in Wuhan had established WeChat groups where at least one member from each household joins the online group to facilitate communication, support, and organize bulk purchases for daily necessities. We recruited community-based adults from 16 WeChat groups of residential complexes located in the Jianghan, Wuchang, and Jiangxia districts of Wuhan. The recruited health professionals were from 8 WeChat groups covering four main hospitals of Wuhan. We used the Tencent questionnaire system, which can collect data via WeChat and includes a built-in function to provide incentives to participants. Participants received CNY 10 (~US $1.5) via their WeChat accounts upon completion of the survey.
Outcomes and Covariables
Probable anxiety was assessed using the validated Generalized Anxiety Disorder (GAD)-2. Total score of the GAD-2 ranges from 0 to 6 with a cut-off score ≥3, indicating probable anxiety.
Probable depression was assessed using the validated Patient Health Questionnaire (PHQ)-2. Total score of the PHQ-2 ranges from 0 to 6 with a cut-off score ≥3, indicating probable depression. We use the term probable anxiety or probable depression as GAD-2 and PHQ-2 are brief, validated screening instruments but not diagnostic interviews.
Perceived social support was assessed using the Medical Outcomes Study Social Support Survey (MOS-SSS). The total score of the six items of the MOS-SSS ranges from 6 to 30, with a score ≤15 indicating low social support. We further categorized medium and high support using a score of 16-23 and ≥24, respectively.
Demographic characteristics, exposure to COVID-19 (eg, whether they were close contacts of known cases of COVID-19 or if there were known cases of COVID-19 infections in their residential complexes), and time spent on COVID-19 news via social media and television were assessed in the survey. The study was approved by the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster.
Statistical Analysis
We estimated the prevalence of probable anxiety and probable depression in the community and health professionals with the proportion and 95% CI reported. We used multivariable logistic regression analysis to examine factors associated with probable anxiety and probable depression for these two demographic groups, giving results as adjusted odds ratios. All analyses were conducted using Stata 15.1 (StataCorp LLC).
Results
A total of 1577 community-based adults and 214 health professionals in Wuhan completed the online survey. Among the total 1791 participants, 1341 (74.87%) were members of the selected WeChat groups. The remaining participants also reported that they were currently in Wuhan and enrolled via links of the survey forwarded by WeChat group members. Participants’ demographics are shown in Multimedia Appendix 1. As expected, a higher proportion of health professionals (n=55, 25.7%) reported being close contacts of patients with COVID-19 compared to community-based adults (n=70, 4.44%). The majority of community-based adults (n=1110, 70.39%) and health professionals (n=131, 61.2%) reported that they live in neighborhoods with COVID-19 cases. Among community-based adults, 37.16% (n=586) and 18.64% (n=294) of them spent 2 hours or more per day on COVID-19 news via social media and television, respectively. Similarly, 33.2% (n=71) and 16.4% (n=35) of health professionals spent 2 hours or more per day on COVID-19 news via social media and television, respectively.
Of the 1577 community-based adults, around one-fifth of respondents reported probable anxiety (n=376, 23.84%, 95% CI 21.8-26.0) and probable depression (n=303, 19.21%, 95% CI 17.3-21.2). Similarly, of the 214 health professionals, about one-fifth of surveyed health professionals reported probable anxiety (n=47, 22.0%, 95% CI 16.6-28.1) or probable depression (n=41, 19.2%, 95% CI 14.1-25.1). The multivariable logistic regression analysis showed that close contact with individuals with COVID-19 and spending ≥2 hours daily on COVID-19 news via social media were associated with probable anxiety and depression in community-based adults (Figure 1). In contrast, social support was associated with less probable anxiety and depression in both health professionals and community-based adults (Figure 1). Time spent on COVID-19 news via television was not associated with either probable anxiety or probable depression (Multimedia Appendices 2 and 3).
Discussion
Our study shows that online platforms such as WeChat can be leveraged to survey community-based adults and health professionals during an epidemic and lockdown. Although our samples are not representative, in-person surveys would not be appropriate or possible during the increasingly widespread lockdowns and the COVID-19 pandemic. Random digit dialing could provide random samples in affected regions but are often associated with low response rates and would not be suitable for the enrollment of health professionals. Future studies could address these limitations by nesting follow-ups in existing random samples where available, as this could provide timely access to longitudinal population-representative data.
Our study showed that social support was associated with less probable anxiety and depression in both the community and health professionals. Although physical distancing is recommended to reduce the spread of COVID-19, social support should be maintained, as it is a key source of emotional support. Mitigating the mental health impact of both the pandemic and physical distancing measures is, therefore, important. The internet could be harnessed for online consultation or counseling (eg, Ali Health, Ping An Good Doctor, WeChat implemented in China) and restoring daily routines (eg, online learning, telework, exercise). Yet caution is warranted toward spending excessive time searching for COVID-19 news on social media given the infodemic and emotional contagion through online social networks. Our findings are susceptible to reverse causality, whereby anxiety or depression could lead to rumination on social media. However, the null association between time spent on television viewing and mental health suggests social media might have a specific role in adverse mental health during epidemics. Further, our findings are consistent with longitudinal studies on social media use and mental health during major population events.
Stress and psychiatric sequelae among health professionals requires urgent redress. This includes ensuring adequate personal protective equipment, allaying anxiety, and strengthening psychosocial support. Clinicians in turn need to be vigilant of psychiatric sequelae among patients given the potential for anxiety and depression during an epidemic. COVID-19 will exact a substantial toll on the population’s well-being beyond the acute respiratory illnesses and pneumonia hospitalizations associated with infections. To mitigate the long-term impact on the populations’ physical, mental, and social well-being, monitoring the broad consequences of infections and interventions (eg, psychological, social, and economic costs), which may increasingly need to be conducted online due to widespread lockdowns and physical distancing measures, is of paramount importance. Building community resilience and, where appropriate, harnessing the social media while reducing the adverse impact should also be incorporated into global preparedness and response to pandemics.
References 18
- 1.
The New York Times. 2020.
Not in our library
- 2.
Merchant RM, Lurie N. Social media and emergency preparedness in response to novel coronavirus. JAMA. 2020.
Not in our library10.1001/jama.2020.4469
- 3.
Brooks SK, Webster RK, Smith LE, Woodland L, Wessely S, Greenberg N, Rubin GJ. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet. 2020;395(10227):912-920.
Not in our library10.1016/s0140-6736(20)30460-8
- 4.
Liu S, Yang L, Zhang C, Xiang Y, Liu Z, Hu S, Zhang B. Online mental health services in China during the COVID-19 outbreak. Lancet Psychiatry. 2020;7(4):e17-e18.
Not in our library10.1016/s2215-0366(20)30077-8
- 5.
Liu B, Kim S. How organizations framed the 2009 H1N1 pandemic via social and traditional media: implications for U.S. health communicators. Public Relations Rev. 2011;37(3):233-244.
Not in our library10.1016/j.pubrev.2011.03.005
- 6.
Fung IC, Tse ZTH, Cheung C, Miu AS, Fu K. Ebola and the social media. Lancet. 2014;384(9961):2207.
Not in our library10.1016/s0140-6736(14)62418-1
- 7.
Depoux A, Martin S, Karafillakis E, Preet R, Wilder-Smith A, Larson H. The pandemic of social media panic travels faster than the COVID-19 outbreak. J Travel Med. 2020.
Not in our library10.1093/jtm/taaa031
- 8.
Kramer ADI, Guillory JE, Hancock JT. Experimental evidence of massive-scale emotional contagion through social networks. Proc Natl Acad Sci U S A. 2014;111(24):8788-90.
Not in our library10.1073/pnas.1320040111
- 9.
China Channel. 2015.
Not in our library
- 10.
Kroenke K, Spitzer RL, Williams JBW, Monahan PO, Löwe B. Anxiety disorders in primary care: prevalence, impairment, comorbidity, and detection. Ann Intern Med. 2007;146(5):317-25.
Not in our library10.7326/0003-4819-146-5-200703060-00004
- 11.
Kroenke K, Spitzer RL, Williams JBW. The Patient Health Questionnaire-2: validity of a two-item depression screener. Med Care. 2003;41(11):1284-92.
Not in our library10.1097/01.mlr.0000093487.78664.3c
- 12.
Holden L, Lee C, Hockey R, Ware RS, Dobson AJ. Validation of the MOS Social Support Survey 6-item (MOS-SSS-6) measure with two large population-based samples of Australian women. Qual Life Res. 2014;23(10):2849-53.
Not in our library10.1007/s11136-014-0741-5
- 13.
Kilpatrick DG, Koenen KC, Ruggiero KJ, Acierno R, Galea S, Resnick HS, Roitzsch J, Boyle J, Gelernter J. The serotonin transporter genotype and social support and moderation of posttraumatic stress disorder and depression in hurricane-exposed adults. Am J Psychiatry. 2007;164(11):1693-9.
Not in our library10.1176/appi.ajp.2007.06122007
- 14.
Ni MY, Yao XI, Leung KSM, Yau C, Leung CMC, Lun P, Flores FP, Chang WC, Cowling BJ, Leung GM. Depression and post-traumatic stress during major social unrest in Hong Kong: a 10-year prospective cohort study. Lancet. 2020;395(10220):273-284.
Not in our library10.1016/s0140-6736(19)33160-5
- 15.
Bao Y, Sun Y, Meng S, Shi J, Lu L. 2019-nCoV epidemic: address mental health care to empower society. Lancet. 2020;395(10224):e37-e38.
Not in our library10.1016/s0140-6736(20)30309-3
- 16.
Ni MY, Kim Y, McDowell I, Wong S, Qiu H, Wong IO, Galea S, Leung GM. Mental health during and after protests, riots and revolutions: a systematic review. Aust N Z J Psychiatry. 2020;54(3):232-243.
Not in our library10.1177/0004867419899165
- 17.
Ni MY, Li TK, Pang H, Chan BHY, Yuan BY, Kawachi I, Schooling CM, Leung GM. Direct participation in and indirect exposure to the Occupy Central Movement and depressive symptoms: a longitudinal study of Hong Kong adults. Am J Epidemiol. 2016;184(9):636-643.
Not in our library10.1093/aje/kww103
- 18.
Jalloh MF, Li W, Bunnell RE, Ethier KA, O'Leary A, Hageman KM, Sengeh P, Jalloh MB, Morgan O, Hersey S, Marston BJ, Dafae F, Redd JT. Impact of Ebola experiences and risk perceptions on mental health in Sierra Leone, July 2015. BMJ Glob Health. 2018;3(2):e000471.
Not in our library10.1136/bmjgh-2017-000471
Cited by papers we hold 13
- Physical and mental health outcomes including behavior and attitudes in people having social contacts with COVID-19 patients. · 2021Not checked
- Pattern of dental needs and advice on Twitter during the COVID-19 pandemic in Saudi Arabia · 2021Not checked
- Mental health status and quality of life in close contacts of COVID-19 patients in the post-COVID-19 era: a comparative study · 2021Not checked
- Psychological distress among healthcare providers during COVID-19 in Asia: Systematic review and meta-analysis. · 2021Not checked
- Prevalence of depression, anxiety and post-traumatic stress disorder in health care workers during the COVID-19 pandemic: A systematic review and meta-analysis · 2021No notice
- The Psychological Impact of COVID-19 Pandemic on Health Care Workers: A Systematic Review and Meta-Analysis · 2021No notice
- Global prevalence of mental health issues among the general population during the coronavirus disease-2019 pandemic: a systematic review and meta-analysis · 2021No notice
- Factors associated with psychological distress during the coronavirus disease 2019 (COVID-19) pandemic on the predominantly general population: A systematic review and meta-analysis · 2020No notice
- Epidemiology of mental health problems in COVID-19: a review · 2020No notice
- Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers · 2020No notice
- Emotional, Behavioral, and Psychological Impact of the COVID-19 Pandemic · 2020No notice
- Impact of the COVID-19 Pandemic on Partner Relationships and Sexual and Reproductive Health: Cross-Sectional, Online Survey Study · 2020No notice
- Impact of COVID-19 on Economic Well-Being and Quality of Life of the Vietnamese During the National Social Distancing · 2020No notice
Reads
Read by people on this page
None yet.
Checked or read by AI through naulon
None yet.
A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.
Are you an author?
Is this your paper?
Claim it to add your note and be paid when agents cite it. Free.