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      Effects of Social Media Use for Health Information on COVID-19–Related Risk Perceptions and Mental Health During Pregnancy: Web-Based Survey

      research-article
      , PhD 1 , , MMed 2 , , MMed 1 , , PhD 1 , , MMed 3 , , PhD 2 ,
      (Reviewer), (Reviewer)
      JMIR Medical Informatics
      JMIR Publications
      COVID-19, pregnant, social media use, risk perception, worry, depression

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          Abstract

          Background

          Social media has become an important source of health information during the COVID-19 pandemic. Very little is known about the potential mental impact of social media use on pregnant women.

          Objective

          This study aims to examine the association between using social media for health information and risk perception for COVID-19, worry due to COVID-19, and depression among pregnant women in China.

          Methods

          A total of 4580 pregnant women were recruited from various provinces of China. The participants completed a cross-sectional, web-based survey in March 2020.

          Results

          More than one-third (1794/4580, 39.2%) of the participants reported always using social media for obtaining health information. Results of structural equation modeling showed that the frequency of social media use for health information was positively associated with perceived susceptibility ( β=.05; P<.001) and perceived severity ( β=.12; P<.001) of COVID-19, which, in turn, were positively associated with worry due to COVID-19 ( β=.19 and β=.72, respectively; P<.001). Perceived susceptibility ( β=.09; P<.001), perceived severity ( β=.08; P<.001), and worry due to COVID-19 ( β=.15; P<.001) all had a positive association with depression. Bootstrapping analysis showed that the indirect effects of frequency of social media use for health information on both worry due to COVID-19 ( β=.09, 95% CI 0.07-0.12) and depression ( β=.05, 95% CI 0.02-0.07) were statistically significant.

          Conclusions

          This study provides empirical evidence on how social media use for health information might have a negative impact on the mental health of pregnant women. Interventions are needed to equip this population with the skills to use social media properly and with caution.

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          Most cited references59

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          A Novel Coronavirus from Patients with Pneumonia in China, 2019

          Summary In December 2019, a cluster of patients with pneumonia of unknown cause was linked to a seafood wholesale market in Wuhan, China. A previously unknown betacoronavirus was discovered through the use of unbiased sequencing in samples from patients with pneumonia. Human airway epithelial cells were used to isolate a novel coronavirus, named 2019-nCoV, which formed a clade within the subgenus sarbecovirus, Orthocoronavirinae subfamily. Different from both MERS-CoV and SARS-CoV, 2019-nCoV is the seventh member of the family of coronaviruses that infect humans. Enhanced surveillance and further investigation are ongoing. (Funded by the National Key Research and Development Program of China and the National Major Project for Control and Prevention of Infectious Disease in China.)
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            The psychological impact of quarantine and how to reduce it: rapid review of the evidence

            Summary The December, 2019 coronavirus disease outbreak has seen many countries ask people who have potentially come into contact with the infection to isolate themselves at home or in a dedicated quarantine facility. Decisions on how to apply quarantine should be based on the best available evidence. We did a Review of the psychological impact of quarantine using three electronic databases. Of 3166 papers found, 24 are included in this Review. Most reviewed studies reported negative psychological effects including post-traumatic stress symptoms, confusion, and anger. Stressors included longer quarantine duration, infection fears, frustration, boredom, inadequate supplies, inadequate information, financial loss, and stigma. Some researchers have suggested long-lasting effects. In situations where quarantine is deemed necessary, officials should quarantine individuals for no longer than required, provide clear rationale for quarantine and information about protocols, and ensure sufficient supplies are provided. Appeals to altruism by reminding the public about the benefits of quarantine to wider society can be favourable.
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              Mental health problems and social media exposure during COVID-19 outbreak

              Huge citizens expose to social media during a novel coronavirus disease (COVID-19) outbroke in Wuhan, China. We assess the prevalence of mental health problems and examine their association with social media exposure. A cross-sectional study among Chinese citizens aged≥18 years old was conducted during Jan 31 to Feb 2, 2020. Online survey was used to do rapid assessment. Total of 4872 participants from 31 provinces and autonomous regions were involved in the current study. Besides demographics and social media exposure (SME), depression was assessed by The Chinese version of WHO-Five Well-Being Index (WHO-5) and anxiety was assessed by Chinese version of generalized anxiety disorder scale (GAD-7). multivariable logistic regressions were used to identify associations between social media exposure with mental health problems after controlling for covariates. The prevalence of depression, anxiety and combination of depression and anxiety (CDA) was 48.3% (95%CI: 46.9%-49.7%), 22.6% (95%CI: 21.4%-23.8%) and 19.4% (95%CI: 18.3%-20.6%) during COVID-19 outbroke in Wuhan, China. More than 80% (95%CI:80.9%-83.1%) of participants reported frequently exposed to social media. After controlling for covariates, frequently SME was positively associated with high odds of anxiety (OR = 1.72, 95%CI: 1.31–2.26) and CDA (OR = 1.91, 95%CI: 1.52–2.41) compared with less SME. Our findings show there are high prevalence of mental health problems, which positively associated with frequently SME during the COVID-19 outbreak. These findings implicated the government need pay more attention to mental health problems, especially depression and anxiety among general population and combating with “infodemic” while combating during public health emergency.
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                Author and article information

                Contributors
                Journal
                JMIR Med Inform
                JMIR Med Inform
                JMI
                JMIR Medical Informatics
                JMIR Publications (Toronto, Canada )
                2291-9694
                January 2022
                13 January 2022
                13 January 2022
                : 10
                : 1
                : e28183
                Affiliations
                [1 ] National Center for Women and Children's Health Chinese Center for Disease Control and Prevention Beijing City China
                [2 ] Center for Health Behaviours Research, Faculty of Medicine School of Public Health and Primary Care The Chinese University of Hong Kong, Prince of Wales Hospital Hong Kong Hong Kong
                [3 ] National Center for Chronic and Noncommunicable Disease Control and Prevention Chinese Center for Disease Control and Prevention Beijing City China
                Author notes
                Corresponding Author: Phoenix Kit-Han Mo phoenix.mo@ 123456cuhk.edu.hk
                Author information
                https://orcid.org/0000-0002-9674-4914
                https://orcid.org/0000-0001-5509-3732
                https://orcid.org/0000-0002-0161-1052
                https://orcid.org/0000-0002-5006-1800
                https://orcid.org/0000-0002-9541-3654
                https://orcid.org/0000-0001-9822-5424
                Article
                v10i1e28183
                10.2196/28183
                8796050
                34762065
                ac7b6935-8277-44b9-8e5d-4f4dc2ab110b
                ©Qian Wang, Luyao Xie, Bo Song, Jiangli Di, Linhong Wang, Phoenix Kit-Han Mo. Originally published in JMIR Medical Informatics (https://medinform.jmir.org), 13.01.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Informatics, is properly cited. The complete bibliographic information, a link to the original publication on https://medinform.jmir.org/, as well as this copyright and license information must be included.

                History
                : 24 February 2021
                : 5 April 2021
                : 22 April 2021
                : 12 July 2021
                Categories
                Original Paper
                Original Paper

                covid-19,pregnant,social media use,risk perception,worry,depression

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