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Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients

There is growing concern that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital...

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Autores principales: Norbury, Agnes, Liu, Shelley H., Campaña-Montes, Juan José, Romero-Medrano, Lorena, Barrigón, María Luisa, Smith, Emma, Artés-Rodríguez, Antonio, Baca-García, Enrique, Perez-Rodriguez, M. Mercedes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734389/
https://www.ncbi.nlm.nih.gov/pubmed/33318619
http://dx.doi.org/10.1038/s41380-020-00963-5
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author Norbury, Agnes
Liu, Shelley H.
Campaña-Montes, Juan José
Romero-Medrano, Lorena
Barrigón, María Luisa
Smith, Emma
Artés-Rodríguez, Antonio
Baca-García, Enrique
Perez-Rodriguez, M. Mercedes
author_facet Norbury, Agnes
Liu, Shelley H.
Campaña-Montes, Juan José
Romero-Medrano, Lorena
Barrigón, María Luisa
Smith, Emma
Artés-Rodríguez, Antonio
Baca-García, Enrique
Perez-Rodriguez, M. Mercedes
author_sort Norbury, Agnes
collection PubMed
description There is growing concern that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital social tools may help mitigate effects of enforced isolation on physical activity and mood, in a naturalistic study of at-risk individuals. Passively sensed smartphone app use and actigraphy data were collected from a group of psychiatric outpatients before and during imposition of strict Covid-19 lockdown measures. Data were analysed using Gaussian graphical models: a form of network analysis which gives insight into the predictive relationships between measures across timepoints. Within-individuals, we found evidence of a positive predictive path between digital social engagement, general smartphone use, and physical activity—selectively under lockdown conditions (N = 127 individual users, M = 6201 daily observations). Further, we observed a positive relationship between social media use and total daily steps across individuals during (but not prior to) lockdown. Although there are important limitations on the validity of drawing causal conclusions from observational data, a plausible explanation for our findings is that, during lockdown, individuals use their smartphones to access social support, which may help guard against negative effects of in-person social deprivation and other pandemic-related stress. Importantly, passive monitoring of smartphone app usage is low burden and non-intrusive. Given appropriate consent, this could help identify people who are failing to engage in usual patterns of digital social interaction, providing a route to early intervention.
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spelling pubmed-77343892020-12-14 Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients Norbury, Agnes Liu, Shelley H. Campaña-Montes, Juan José Romero-Medrano, Lorena Barrigón, María Luisa Smith, Emma Artés-Rodríguez, Antonio Baca-García, Enrique Perez-Rodriguez, M. Mercedes Mol Psychiatry Article There is growing concern that the social and physical distancing measures implemented in response to the Covid-19 pandemic may negatively impact health in other areas, via both decreased physical activity and increased social isolation. Here, we investigated whether increased engagement with digital social tools may help mitigate effects of enforced isolation on physical activity and mood, in a naturalistic study of at-risk individuals. Passively sensed smartphone app use and actigraphy data were collected from a group of psychiatric outpatients before and during imposition of strict Covid-19 lockdown measures. Data were analysed using Gaussian graphical models: a form of network analysis which gives insight into the predictive relationships between measures across timepoints. Within-individuals, we found evidence of a positive predictive path between digital social engagement, general smartphone use, and physical activity—selectively under lockdown conditions (N = 127 individual users, M = 6201 daily observations). Further, we observed a positive relationship between social media use and total daily steps across individuals during (but not prior to) lockdown. Although there are important limitations on the validity of drawing causal conclusions from observational data, a plausible explanation for our findings is that, during lockdown, individuals use their smartphones to access social support, which may help guard against negative effects of in-person social deprivation and other pandemic-related stress. Importantly, passive monitoring of smartphone app usage is low burden and non-intrusive. Given appropriate consent, this could help identify people who are failing to engage in usual patterns of digital social interaction, providing a route to early intervention. Nature Publishing Group UK 2020-12-14 2021 /pmc/articles/PMC7734389/ /pubmed/33318619 http://dx.doi.org/10.1038/s41380-020-00963-5 Text en © The Author(s), under exclusive licence to Springer Nature Limited 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Norbury, Agnes
Liu, Shelley H.
Campaña-Montes, Juan José
Romero-Medrano, Lorena
Barrigón, María Luisa
Smith, Emma
Artés-Rodríguez, Antonio
Baca-García, Enrique
Perez-Rodriguez, M. Mercedes
Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title_full Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title_fullStr Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title_full_unstemmed Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title_short Social media and smartphone app use predicts maintenance of physical activity during Covid-19 enforced isolation in psychiatric outpatients
title_sort social media and smartphone app use predicts maintenance of physical activity during covid-19 enforced isolation in psychiatric outpatients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734389/
https://www.ncbi.nlm.nih.gov/pubmed/33318619
http://dx.doi.org/10.1038/s41380-020-00963-5
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