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      Media Use During the COVID-19 Pandemic: Cross-sectional Study

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          Abstract

          Background

          Throughout the pandemic, the general population was encouraged to use media to be kept informed about sanitary measures while staying connected with others to obtain social support. However, due to mixed findings in the literature, it is not clear whether media use in such a context would be pathogenic or salutogenic.

          Objective

          Therefore, the associations between COVID-19–related stressors and frequency of media use for information-seeking on trauma- and stressor-related (TSR) symptoms were examined while also investigating how social media use for support-seeking and peritraumatic distress interact with those variables.

          Methods

          A path model was tested in a sample of 5913 adults who completed an online survey.

          Results

          The number of COVID-19–related stressors (β=.25; P<.001) and extent of information-seeking through media (β=.24; P=.006) were significantly associated with the severity of TSR symptoms in bivariate comparisons. Associations between levels of peritraumatic distress and both COVID-19–related stressors and information-seeking through media, and social media use for support- and information-seeking through media were found (β COVID-19 stressors: Peritraumatic Distress Inventory=.49, P<.001; β seeking information: Peritraumatic Distress Inventory=.70, P<.001; β seeking information–seeking support=.04, P<.001).

          Conclusions

          Results suggest that exposure to COVID-19–related stressors and seeking COVID-19–related information through the media are associated with higher levels of peritraumatic distress that, in turn, lead to higher levels of TSR symptoms. Although exposure to the stress of the COVID-19 pandemic may be unavoidable, the frequency of COVID-19–related information consumption through various media should be approached with caution.

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          Most cited references54

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          Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives

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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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              A Test of Missing Completely at Random for Multivariate Data with Missing Values

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                June 2022
                7 June 2022
                7 June 2022
                : 24
                : 6
                : e33011
                Affiliations
                [1 ] Department of Psychiatry McGill University Montréal, QC Canada
                [2 ] Division of Psychosocial Research Douglas Mental Health University Institute Montréal, QC Canada
                [3 ] Department of Psychology University of Québec in Montréal Montréal, QC Canada
                [4 ] Department of Psychology University of Padua Padua Italy
                [5 ] School of Psychology University of Ottawa Ottawa, ON Canada
                Author notes
                Corresponding Author: Marjolaine Rivest-Beauregard marjolaine.rivest-beauregard@ 123456mail.mcgill.ca
                Author information
                https://orcid.org/0000-0001-7427-1178
                https://orcid.org/0000-0002-7536-7363
                https://orcid.org/0000-0003-1499-5283
                https://orcid.org/0000-0001-9886-5683
                https://orcid.org/0000-0002-3547-3188
                https://orcid.org/0000-0003-4529-8042
                https://orcid.org/0000-0003-2185-1704
                Article
                v24i6e33011
                10.2196/33011
                9177167
                3553703
                c4a5eb5b-4acb-458a-9a0a-8d79887023f5
                ©Marjolaine Rivest-Beauregard, Justine Fortin, Connie Guo, Sabrina Cipolletta, Ram P Sapkota, Michelle Lonergan, Alain Brunet. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 07.06.2022.

                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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 18 August 2021
                : 8 December 2021
                : 24 March 2022
                : 18 April 2022
                Categories
                Original Paper
                Original Paper

                Medicine
                media use,support,information-seeking behaviors,trauma- and stressor-related symptoms,covid-19,media,information-seeking,behavior,trauma,stress,symptom,frequency,risk,distress

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