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      Smartphone Use during the COVID-19 Pandemic: Social Versus Physical Distancing

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          Abstract

          The COVID-19 pandemic continues to wreak havoc across the globe. According to the Centers for Disease Control and Prevention, limiting face-to-face interaction is the best strategy for reducing the spread of COVID-19. We investigate the impact of social distancing on social connection and well-being, while also considering the moderating influence of smartphone use. In a survey of 400 students, the study presented herein finds that smartphone use attenuates the negative impact of social distancing on social connection and well-being. Contrary to popular sentiments regarding the influence of smartphone use on well-being, increased smartphone use during the pandemic may foster social connection and well-being. Overall, the research presented provides evidence that the perceived loss of social connection with others is not a de facto outcome of social distancing. The study’s findings have important implications for public policymakers, government officials, and others, including consumer researchers. These implications include stressing the important role technology can play in staying socially connected during the current pandemic and the importance of reframing “social distancing” as “physical distancing with social connectedness”.

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          Most cited references38

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          Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models

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            The Mental Health Consequences of COVID-19 and Physical Distancing: The Need for Prevention and Early Intervention

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              An Index and Test of Linear Moderated Mediation.

              I describe a test of linear moderated mediation in path analysis based on an interval estimate of the parameter of a function linking the indirect effect to values of a moderator-a parameter that I call the index of moderated mediation. This test can be used for models that integrate moderation and mediation in which the relationship between the indirect effect and the moderator is estimated as linear, including many of the models described by Edwards and Lambert ( 2007 ) and Preacher, Rucker, and Hayes ( 2007 ) as well as extensions of these models to processes involving multiple mediators operating in parallel or in serial. Generalization of the method to latent variable models is straightforward. Three empirical examples describe the computation of the index and the test, and its implementation is illustrated using Mplus and the PROCESS macro for SPSS and SAS.
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                Author and article information

                Contributors
                Role: Academic Editor
                Role: Academic Editor
                Role: Academic Editor
                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                25 January 2021
                February 2021
                : 18
                : 3
                : 1034
                Affiliations
                Department of Marketing, Hankamer School of Business, Baylor University, Waco, TX 76798, USA; jim_roberts@ 123456baylor.edu
                Author notes
                Article
                ijerph-18-01034
                10.3390/ijerph18031034
                7908126
                33503907
                e9b174d9-185c-43e7-91ba-0fc06dcfe95d
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 16 December 2020
                : 19 January 2021
                Categories
                Article

                Public health
                social distancing,physical distancing,covid-19,social connection,smartphone use,pandemics,well-being

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