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      The relationship between burden caused by coronavirus (Covid-19), addictive social media use, sense of control and anxiety

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          Abstract

          The outbreak of Covid-19 has significantly restricted people's everyday life and contributed to enhanced social media use (SMU). The present study investigated the relationship of burden caused by Covid-19 and addictive SMU. Data were assessed in a sample of 550 users of social media (age: M ( SD) = 27.08 (6.74)) from Germany via online surveys in spring 2020. In a moderated mediation analysis, the positive association between burden and addictive SMU was significantly mediated by the level of perceived sense of control. Anxiety symptoms significantly moderated the relationship between sense of control and addictive SMU. Specifically, the link between both variables was significant only for medium and high levels of anxiety symptoms. The present findings disclose the mechanisms that can contribute to the development of addictive tendencies during the pandemic outbreak. Potential practical implications and ways of how the negative consequences of burden caused by Covid-19 might be prevented are discussed.

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          Statistical power analyses using G*Power 3.1: tests for correlation and regression analyses.

          Franz Faul, Edgar Erdfelder, Axel Buchner … (2009)
          G*Power is a free power analysis program for a variety of statistical tests. We present extensions and improvements of the version introduced by Faul, Erdfelder, Lang, and Buchner (2007) in the domain of correlation and regression analyses. In the new version, we have added procedures to analyze the power of tests based on (1) single-sample tetrachoric correlations, (2) comparisons of dependent correlations, (3) bivariate linear regression, (4) multiple linear regression based on the random predictor model, (5) logistic regression, and (6) Poisson regression. We describe these new features and provide a brief introduction to their scope and handling.
          Article 0 comments Cited 4886 times – based on 0 reviews     Review now
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            The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

            P.F. Lovibond, S.H. Lovibond (1995)
            The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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              World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19)

              Catrin Sohrabi, Zaid Alsafi, Niamh O'Neill … (2020)
              An unprecedented outbreak of pneumonia of unknown aetiology in Wuhan City, Hubei province in China emerged in December 2019. A novel coronavirus was identified as the causative agent and was subsequently termed COVID-19 by the World Health Organization (WHO). Considered a relative of severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), COVID-19 is caused by a betacoronavirus named SARS-CoV-2 that affects the lower respiratory tract and manifests as pneumonia in humans. Despite rigorous global containment and quarantine efforts, the incidence of COVID-19 continues to rise, with 90,870 laboratory-confirmed cases and over 3,000 deaths worldwide. In response to this global outbreak, we summarise the current state of knowledge surrounding COVID-19.
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                Author and article information

                Journal
                Journal ID (nlm-ta): Comput Human Behav
                Journal ID (iso-abbrev): Comput Human Behav
                Title: Computers in Human Behavior
                Publisher: Elsevier Ltd.
                ISSN (Print): 0747-5632
                ISSN (Electronic): 0747-5632
                Publication date PMC-release: 28 January 2021
                Publication date (Print): June 2021
                Publication date (Electronic): 28 January 2021
                Volume: 119
                Page: 106720
                Affiliations
                [1]Mental Health Research and Treatment Center, Department of Clinical Psychology and Psychotherapy, Ruhr-Universität Bochum, Bochum, Germany
                Author notes
                [∗ ]Corresponding author. Mental Health Research and Treatment Center of Ruhr-Universität Bochum, Massenbergstr. 9-13, 44787, Bochum, Germany.
                Article
                Publisher Item ID: S0747-5632(21)00042-X Publisher ID: 106720
                DOI: 10.1016/j.chb.2021.106720
                PMC ID: 7994028
                PubMed ID: 33785982
                SO-VID: 888fae2d-c208-4067-a107-5dc1a7ef2a9d
                Copyright © © 2021 Elsevier Ltd. All rights reserved.
                License:

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                Date received : 2 October 2020
                Date revision received : 26 November 2020
                Date accepted : 24 January 2021
                Categories
                Subject: Article

                Keywords: covid-19,burden,sense of control,anxiety symptoms,addictive social media use
                Data availability:
                Keywords: covid-19, burden, sense of control, anxiety symptoms, addictive social media use

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