Remote Communication and Loneliness During the COVID-19 Pandemic: Cross-Sectional Study
Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigati...
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Published in | Journal of medical Internet research Vol. 25; no. 1; p. e45338 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Canada
Gunther Eysenbach MD MPH, Associate Professor
11.07.2023
JMIR Publications |
Subjects | |
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Abstract | Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness.
This study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender.
We used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender.
A total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women.
In this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research. |
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AbstractList | Background:Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness.Objective:This study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender.Methods:We used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender.Results:A total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women.Conclusions:In this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research. BackgroundAlthough remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness. ObjectiveThis study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender. MethodsWe used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender. ResultsA total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women. ConclusionsIn this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research. Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness.BACKGROUNDAlthough remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness.This study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender.OBJECTIVEThis study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender.We used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender.METHODSWe used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender.A total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women.RESULTSA total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women.In this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research.CONCLUSIONSIn this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research. Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated loneliness during the COVID-19 pandemic, it is unclear whether and what types of remote communication technologies are effective in mitigating loneliness. This study aimed to investigate the association between remote communication and loneliness when face-to-face meetings with others were strongly prohibited and whether this association varied across types of communication tools, age, and gender. We used cross-sectional data from the Japan COVID-19 and Society Internet Survey conducted from August to September 2020. From registered panelists of the research agency, 28,000 randomly sampled participants completed the survey on the website. We created 2 study cohorts who stopped meeting with family members living apart and friends during the pandemic. We categorized whether participants had technology-based remote communication (voice calling, text messaging, and video calling) with family and friends. Loneliness was assessed using the 3-item University of California, Los Angeles Loneliness Scale. We used a modified Poisson regression model to investigate the association between loneliness and remote communication with family members living apart or friends. We also conducted subgroup analyses based on age and gender. A total of 4483 participants stopped meeting with family members living apart, and 6783 participants stopped meeting with friends during the COVID-19 pandemic. Remote communication with family members living apart did not show an association with loneliness, whereas remote communication with friends was associated with a low prevalence of loneliness (family: adjusted prevalence ratio [aPR]=0.89, 95% CI 0.74-1.08; P=.24 and friends: aPR=0.82, 95% CI 0.73-0.91; P<.001). From analyses by tools, voice calling was associated with low loneliness (family: aPR=0.88, 95% CI 0.78-0.98; P=.03 and friends: aPR=0.87, 95% CI 0.80-0.95; P=.003). Similarly, text messaging was associated with low loneliness (family: aPR=0.82, 95% CI 0.69-0.97; P=.02 and friends: aPR=0.81, 95% CI 0.73-0.89; P<.001). However, we did not find an association between video calling and loneliness (family: aPR=0.88, 95% CI 0.75-1.02; P=.09 and friends: aPR=0.94, 95% CI 0.85-1.04; P=.25). Text messaging with friends was associated with low loneliness regardless of age, whereas voice calling with family or friends was associated with low loneliness only among participants aged ≥65 years. An association between remote communication with friends and low loneliness was found regardless of the type of remote communication tool among men, whereas it was found only for text messaging with friends among women. In this cross-sectional study of adults in Japan, remote communication, especially via voice calling and text messaging, was associated with low loneliness. Promoting remote communication may reduce loneliness when face-to-face contact is restricted, which should be the subject of future research. |
Author | Nakagomi, Atsushi Inoue, Kosuke Nishioka, Daisuke Tabuchi, Takahiro Arakawa, Yuki Kondo, Naoki |
AuthorAffiliation | 2 Department of Social Epidemiology Graduate School of Medicine Kyoto University Kyoto Japan 3 Department of Medical Statistics Research & Development Center Osaka Medical and Pharmaceutical University Osaka Japan 4 Department of Social Preventive Medical Sciences Center for Preventive Medical Sciences Chiba University Chiba Japan 5 Cancer Control Center Osaka International Cancer Institute Osaka Japan 1 Department of Social Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan |
AuthorAffiliation_xml | – name: 1 Department of Social Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan – name: 3 Department of Medical Statistics Research & Development Center Osaka Medical and Pharmaceutical University Osaka Japan – name: 5 Cancer Control Center Osaka International Cancer Institute Osaka Japan – name: 2 Department of Social Epidemiology Graduate School of Medicine Kyoto University Kyoto Japan – name: 4 Department of Social Preventive Medical Sciences Center for Preventive Medical Sciences Chiba University Chiba Japan |
Author_xml | – sequence: 1 givenname: Yuki orcidid: 0000-0003-4571-9206 surname: Arakawa fullname: Arakawa, Yuki – sequence: 2 givenname: Kosuke orcidid: 0000-0001-9614-8103 surname: Inoue fullname: Inoue, Kosuke – sequence: 3 givenname: Daisuke orcidid: 0000-0002-3116-1195 surname: Nishioka fullname: Nishioka, Daisuke – sequence: 4 givenname: Atsushi orcidid: 0000-0002-3908-696X surname: Nakagomi fullname: Nakagomi, Atsushi – sequence: 5 givenname: Takahiro orcidid: 0000-0002-1050-3125 surname: Tabuchi fullname: Tabuchi, Takahiro – sequence: 6 givenname: Naoki orcidid: 0000-0002-6425-6844 surname: Kondo fullname: Kondo, Naoki |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37432730$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.2196/jmir.2306 10.1016/j.chb.2013.10.053 10.1007/s11136-021-02949-4 10.1037/amp0001005 10.1186/s40359-019-0285-0 10.1177/1088868310377394 10.1007/s00127-020-02002-8 10.1016/j.psychres.2021.114318 10.1093/geront/gnaa040 10.1136/heartjnl-2015-308790 10.1016/j.psychres.2020.113267 10.1093/jurban/78.3.458 10.2196/21845 10.1093/aje/kwh090 10.1177/0164027504268574 10.1080/01494920903224269 10.1136/bmj.326.7382.219 10.1111/j.1447-0594.2006.00341.x 10.1177/1745691614568352 10.1111/j.1468-2958.2003.tb00842.x 10.1177/1745691615570616 10.1037/dev0000117 10.1186/s40064-015-1307-x 10.1093/geront/gnaa197 10.1016/j.socscimed.2021.113779 10.1177/02654075211043296 10.1016/j.jad.2016.02.054 10.1001/jamapsychiatry.2021.0113 10.1111/ggi.13758 10.1177/00027640121957204 10.1111/asj.13837 10.1016/j.socscimed.2020.113467 10.1177/0022022113509881 10.1093/geronb/gbaa133 10.1037/a0017216 10.1002/14651858.CD013632 10.3389/fsoc.2021.714626 10.1136/bmj-2021-067068 10.1177/0164027517698965 10.5817/CP2013-2-3 |
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Copyright | Yuki Arakawa, Kosuke Inoue, Daisuke Nishioka, Atsushi Nakagomi, Takahiro Tabuchi, Naoki Kondo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.07.2023. 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. Yuki Arakawa, Kosuke Inoue, Daisuke Nishioka, Atsushi Nakagomi, Takahiro Tabuchi, Naoki Kondo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.07.2023. 2023 |
Copyright_xml | – notice: Yuki Arakawa, Kosuke Inoue, Daisuke Nishioka, Atsushi Nakagomi, Takahiro Tabuchi, Naoki Kondo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.07.2023. – notice: 2023. This work is licensed under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. – notice: Yuki Arakawa, Kosuke Inoue, Daisuke Nishioka, Atsushi Nakagomi, Takahiro Tabuchi, Naoki Kondo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.07.2023. 2023 |
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License | Yuki Arakawa, Kosuke Inoue, Daisuke Nishioka, Atsushi Nakagomi, Takahiro Tabuchi, Naoki Kondo. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 11.07.2023. 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. |
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Snippet | Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and exacerbated... Background:Although remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and... BackgroundAlthough remote communication technologies have been widely used to maintain connections with others against interpersonal contact restrictions and... |
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SubjectTerms | Adult Age Aged Communication Communications technology COVID-19 COVID-19 - epidemiology Cross-Sectional Studies Female Friendship Gender Humans Internet Loneliness Male Multimedia Original Paper Pandemics Polls & surveys Questionnaires Relatives Text messaging Women |
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Title | Remote Communication and Loneliness During the COVID-19 Pandemic: Cross-Sectional Study |
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