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<?covid-19-tdm?>
<article xmlns:xlink="http://www.w3.org/1999/xlink" article-type="letter" dtd-version="2.0">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">JMIR</journal-id>
      <journal-id journal-id-type="nlm-ta">J Med Internet Res</journal-id>
      <journal-title>Journal of Medical Internet Research</journal-title>
      <issn pub-type="epub">1438-8871</issn>
      <publisher>
        <publisher-name>JMIR Publications</publisher-name>
        <publisher-loc>Toronto, Canada</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">v24i10e41536</article-id>
      <article-id pub-id-type="pmid">36260401</article-id>
      <article-id pub-id-type="doi">10.2196/41536</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Letter</subject>
        </subj-group>
        <subj-group subj-group-type="article-type">
          <subject>Research Letter</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Impact of Social Isolation, Loneliness, and Technology Use During the COVID-19 Pandemic on Health-Related Quality of Life: Observational Cross-sectional Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Eysenbach</surname>
            <given-names>Gunther</given-names>
          </name>
        </contrib>
        <contrib contrib-type="editor">
          <name>
            <surname>Leung</surname>
            <given-names>Tiffany</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Wang</surname>
            <given-names>Bingyi</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Lum</surname>
            <given-names>Hillary</given-names>
          </name>
        </contrib>
        <contrib contrib-type="reviewer">
          <name>
            <surname>Shah</surname>
            <given-names>Syed  Ghulam Sarwar</given-names>
          </name>
        </contrib>
      </contrib-group>
      <contrib-group>
        <contrib id="contrib1" contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Balki</surname>
            <given-names>Eric</given-names>
          </name>
          <degrees>BSc, MSc, MA, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <address>
            <institution>Division of Health Research</institution>
            <institution>Lancaster University</institution>
            <addr-line>Furness Building</addr-line>
            <addr-line>Hazelrigg Ln</addr-line>
            <addr-line>Lancaster, LA1 4YG</addr-line>
            <country>United Kingdom</country>
            <phone>44 7801972693</phone>
            <email>e.balkhi@lancaster.ac.uk</email>
          </address>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-5404-7187</ext-link>
        </contrib>
        <contrib id="contrib2" contrib-type="author">
          <name name-style="western">
            <surname>Hayes</surname>
            <given-names>Niall</given-names>
          </name>
          <degrees>BSc, MSc, PhD</degrees>
          <xref rid="aff2" ref-type="aff">2</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-8718-4671</ext-link>
        </contrib>
        <contrib id="contrib3" contrib-type="author">
          <name name-style="western">
            <surname>Holland</surname>
            <given-names>Carol</given-names>
          </name>
          <degrees>BSc, PhD</degrees>
          <xref rid="aff1" ref-type="aff">1</xref>
          <ext-link ext-link-type="orcid">https://orcid.org/0000-0001-7109-6554</ext-link>
        </contrib>
      </contrib-group>
      <aff id="aff1">
        <label>1</label>
        <institution>Division of Health Research</institution>
        <institution>Lancaster University</institution>
        <addr-line>Lancaster</addr-line>
        <country>United Kingdom</country>
      </aff>
      <aff id="aff2">
        <label>2</label>
        <institution>Directorate</institution>
        <institution>Nottingham Trent University</institution>
        <addr-line>Nottingham</addr-line>
        <country>United Kingdom</country>
      </aff>
      <author-notes>
        <corresp>Corresponding Author: Eric Balki <email>e.balkhi@lancaster.ac.uk</email></corresp>
      </author-notes>
      <pub-date pub-type="collection">
        <month>10</month>
        <year>2022</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>19</day>
        <month>10</month>
        <year>2022</year>
      </pub-date>
      <volume>24</volume>
      <issue>10</issue>
      <elocation-id>e41536</elocation-id>
      <history>
        <date date-type="received">
          <day>29</day>
          <month>7</month>
          <year>2022</year>
        </date>
        <date date-type="rev-request">
          <day>23</day>
          <month>8</month>
          <year>2022</year>
        </date>
        <date date-type="rev-recd">
          <day>15</day>
          <month>9</month>
          <year>2022</year>
        </date>
        <date date-type="accepted">
          <day>8</day>
          <month>10</month>
          <year>2022</year>
        </date>
      </history>
      <copyright-statement>©Eric Balki, Niall Hayes, Carol Holland. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.10.2022.</copyright-statement>
      <copyright-year>2022</copyright-year>
      <license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
        <p>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.</p>
      </license>
      <self-uri xlink:href="https://www.jmir.org/2022/10/e41536" xlink:type="simple"/>
      <kwd-group>
        <kwd>health-related quality of life</kwd>
        <kwd>healthy aging</kwd>
        <kwd>older adult</kwd>
        <kwd>elder</kwd>
        <kwd>older person</kwd>
        <kwd>older population</kwd>
        <kwd>geriatric</kwd>
        <kwd>gerontology</kwd>
        <kwd>technology intervention</kwd>
        <kwd>COVID-19</kwd>
        <kwd>pandemic</kwd>
        <kwd>loneliness</kwd>
        <kwd>social isolation</kwd>
        <kwd>isolation</kwd>
        <kwd>isolated</kwd>
        <kwd>lonely</kwd>
        <kwd>cross-sectional</kwd>
        <kwd>technology use</kwd>
        <kwd>digital literacy</kwd>
        <kwd>acceptance</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="introduction">
      <title>Introduction</title>
      <p>Health-related quality of life (HRQoL), defined as a person’s self-perceived health status in relation to their social, cultural, and environmental context, is linked to better health and the ability to deal with adverse life events [<xref ref-type="bibr" rid="ref1">1</xref>]. Social factors such as loneliness are known to influence HRQoL negatively [<xref ref-type="bibr" rid="ref2">2</xref>]. The COVID-19 pandemic has disproportionately impacted older adults, with social distancing measures worsening isolation levels [<xref ref-type="bibr" rid="ref3">3</xref>], which we hypothesize has resulted in lower levels of HRQoL (hypothesis 1).</p>
      <p>Further, technology use is linked to improved self-rated health and psychological well-being, alleviating loneliness among older adults, and encouraging behaviors that may lead to better levels of HRQoL [<xref ref-type="bibr" rid="ref4">4</xref>]. Digital communication tools became critical during the pandemic to remain socially connected and helped prevent social health risks [<xref ref-type="bibr" rid="ref5">5</xref>], potentially benefiting those with lower HRQoL [<xref ref-type="bibr" rid="ref6">6</xref>]. We hypothesized that technology use could predict higher HRQoL (hypothesis 2). Moreover, disease containment measures resulted in increased isolation and loneliness among older adults [<xref ref-type="bibr" rid="ref3">3</xref>], which could impact HRQoL (hypothesis 3). Increased knowledge about how HRQoL was impacted by pandemic loneliness, isolation, and technology use may better inform health care workers, policy makers, and the public.</p>
    </sec>
    <sec sec-type="methods">
      <title>Methods</title>
      <p>This was an observational cross-sectional study from March 16, 2020, to June 21, 2021, when social distancing mandates were in force. Participants were recruited in England.</p>
      <sec>
        <title>Ethics Approval</title>
        <p>The study received ethical approval from the University Research Ethics Committee (Ref FHMREC19121).</p>
      </sec>
      <sec>
        <title>Participants</title>
        <p>Eligible participants were living in their own homes, proficient in English, and aged ≥65 years. The sample (G*Power confirmed effect size of 87) consisted of 89 people aged 65 to 92 (mean 73.2, SD 7.46) years.</p>
      </sec>
      <sec>
        <title>Variables and Measures</title>
        <p>Participants completed a background questionnaire capturing age, gender, and ethnicity. We used the following standardized measures: UCLA Loneliness Scale [<xref ref-type="bibr" rid="ref7">7</xref>], Technology Experience Questionnaire [<xref ref-type="bibr" rid="ref8">8</xref>], Lubben’s Social Isolation Scale, and Short-Form 36 [<xref ref-type="bibr" rid="ref9">9</xref>], a measure of HRQoL comprising eight health scales (physical/mental).</p>
      </sec>
      <sec>
        <title>Procedure</title>
        <p>Surveys were conducted via telephone, with further analysis done using SPSS Ver 28 (IBM Corp).</p>
      </sec>
      <sec>
        <title>Statistical Methods</title>
        <p>Higher scores on the UCLA Loneliness Scale and technology use measures indicated greater loneliness and technology use; lower scores on Lubben’s scale indicated greater isolation. Pearson correlation determined whether lower social isolation (hypothesis 1) and greater technology use (hypothesis 2) were associated with higher HRQoL. Multiple linear regression models were built to evaluate whether loneliness predicted HRQoL after controlling for social isolation and technology use (hypothesis 3).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>Results</title>
      <p>Low social isolation (hypothesis 1) and higher technology use (hypothesis 2) were significantly associated with higher HRQoL (<xref ref-type="table" rid="table1">Table 1</xref>).</p>
      <p>Multiple linear regression was calculated (<xref ref-type="table" rid="table2">Table 2</xref>) for hypothesis 3. Model 1, incorporating loneliness, explained 24.9% of the variance in HRQoL. Model 2, incorporating social isolation, explained an additional nonsignificant 0.1% of the variance (<italic>F</italic><sub>1,89</sub>=0.112; <italic>P</italic>=.74). Model 3, adding technology use, explained an additional 5.5% of the variance (<italic>F</italic><sub>1,88</sub>=6.93; <italic>P</italic>=.01).</p>
      <p>Semipartial correlations squared showed unique amount of variance; only technology use predicted a significant unique amount of the variance in HRQoL (sr<sup>2</sup>=0.0547; <italic>P</italic>=.01), followed by loneliness (sr<sup>2</sup>=0.0179; <italic>P</italic>=.14) and social isolation (sr<sup>2</sup>=0.0004; <italic>P</italic>=.82).</p>
      <table-wrap position="float" id="table1">
        <label>Table 1</label>
        <caption>
          <p>Correlational analysis between variables (N=89).</p>
        </caption>
        <table border="1" cellspacing="0" cellpadding="5" rules="groups" frame="hsides" width="1000">
          <col width="30"/>
          <col width="260"/>
          <col width="200"/>
          <col width="140"/>
          <col width="170"/>
          <col width="200"/>
          <thead>
            <tr valign="top">
              <td colspan="2">
                <break/>
              </td>
              <td>UCLA Loneliness score</td>
              <td>HRQoL<sup>a</sup></td>
              <td>Technology use</td>
              <td>Social isolation</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td colspan="6">
                <bold>UCLA Loneliness score</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Pearson correlation</td>
              <td>—<sup>b</sup></td>
              <td>—0.499</td>
              <td>–0.631</td>
              <td>–0.853</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td><italic>P</italic> value</td>
              <td>—</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>HRQoL</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Pearson correlation</td>
              <td>−0.499</td>
              <td>—</td>
              <td>0.497</td>
              <td>0.442</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td><italic>P</italic> value</td>
              <td>&#60;.001</td>
              <td>—</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Technology use</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Pearson correlation</td>
              <td>−0.631</td>
              <td>0.497</td>
              <td>—</td>
              <td>0.577</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td><italic>P</italic> value</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
              <td>—</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td colspan="6">
                <bold>Social isolation</bold>
              </td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>Pearson correlation</td>
              <td>−0.853</td>
              <td>0.442</td>
              <td>0.557</td>
              <td>—</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td><italic>P</italic> value</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
              <td>&#60;.001</td>
              <td>—</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table1fn1">
            <p><sup>a</sup>HRQoL: health-related quality of life.</p>
          </fn>
          <fn id="table1fn2">
            <p><sup>b</sup>Not applicable.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
      <table-wrap position="float" id="table2">
        <label>Table 2</label>
        <caption>
          <p>Model output and coefficients of multiple linear regression models for health-related quality of life (N=89).</p>
        </caption>
        <table border="1" cellspacing="0" cellpadding="5" rules="groups" frame="hsides" width="1000">
          <col width="160"/>
          <col width="130"/>
          <col width="70"/>
          <col width="80"/>
          <col width="130"/>
          <col width="70"/>
          <col width="80"/>
          <col width="130"/>
          <col width="70"/>
          <col width="80"/>
          <thead>
            <tr valign="top">
              <td>Independent variables</td>
              <td colspan="3">Model 1</td>
              <td colspan="3">Model 2</td>
              <td colspan="3">Model 3</td>
            </tr>
            <tr valign="top">
              <td>
                <break/>
              </td>
              <td>b (SE)</td>
              <td>B</td>
              <td><italic>P</italic> value</td>
              <td>b (SE)</td>
              <td>B</td>
              <td><italic>P</italic> value</td>
              <td>b (SE)</td>
              <td>B</td>
              <td><italic>P</italic> value</td>
            </tr>
          </thead>
          <tbody>
            <tr valign="top">
              <td>Loneliness</td>
              <td>−4.07 (0.745)</td>
              <td>−0.499</td>
              <td>&#60;.001</td>
              <td>−3.66 (1.436)</td>
              <td>−0.449</td>
              <td>.01</td>
              <td>−2.246 (1.490)</td>
              <td>−0.275</td>
              <td>.14</td>
            </tr>
            <tr valign="top">
              <td>Social isolation</td>
              <td>N/A<sup>a</sup></td>
              <td>N/A</td>
              <td>N/A</td>
              <td>0.559 (1.671)</td>
              <td>0.059</td>
              <td>.74</td>
              <td>0.369 (1.62)</td>
              <td>0.039</td>
              <td>.82</td>
            </tr>
            <tr valign="top">
              <td>Technology use</td>
              <td>N/A</td>
              <td>N/A</td>
              <td>N/A</td>
              <td>N/A</td>
              <td>N/A</td>
              <td>N/A</td>
              <td>1.071 (0.407)</td>
              <td>0.302</td>
              <td>.01</td>
            </tr>
            <tr valign="top">
              <td>Intercept</td>
              <td>757.851 (37.75)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
              <td>723.318 (109.926)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
              <td>536.117 (128.009)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
            </tr>
            <tr valign="top">
              <td><italic>R</italic><sup>2</sup> (Δ<italic>R</italic><sup>2</sup>)</td>
              <td>0.249</td>
              <td>N/A</td>
              <td>&#60;.001</td>
              <td>0.250 (0.001)</td>
              <td>N/A</td>
              <td>.74</td>
              <td>0.305 (0.055)</td>
              <td>N/A</td>
              <td>.01</td>
            </tr>
            <tr valign="top">
              <td><italic>F</italic> test (<italic>df</italic>)</td>
              <td>29.871 (1,90)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
              <td>14.844 (2,89)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
              <td>12.865 (3,88)</td>
              <td>N/A</td>
              <td>&#60;.001</td>
            </tr>
          </tbody>
        </table>
        <table-wrap-foot>
          <fn id="table2fn1">
            <p><sup>a</sup>N/A: not applicable.</p>
          </fn>
        </table-wrap-foot>
      </table-wrap>
    </sec>
    <sec sec-type="discussion">
      <title>Discussion</title>
      <p>Few studies to date have examined the impact of social isolation, loneliness, and technology use together on HRQoL in older adults in England during the pandemic. We found that loneliness negatively impacts HRQoL, and technology use positively impacts it. Although social isolation has been linked to HRQoL, it had a low impact when loneliness was accounted for. Technology use was related to higher HRQoL, aligning our findings with the results of previous studies [<xref ref-type="bibr" rid="ref9">9</xref>]. However, the magnitude of the positive effect was notable when considering prepandemic studies [<xref ref-type="bibr" rid="ref10">10</xref>]. Loneliness impacted HRQoL even when social isolation and technology use were accounted for, in agreement with previous literature [<xref ref-type="bibr" rid="ref10">10</xref>]. The cross-sectional design prevented us from determining causality and was the main limitation of this study. Our study has relevant implications for health professionals such as health psychologists seeking to improve the HRQoL of older adults, especially through adverse life events like the pandemic or other circumstances that would put older adults in a similar situation where their mobility has been restricted. Our study informs that loneliness should be addressed, in conjunction with increasing technology use, in interventions. The absence of longitudinal studies examining the same cohort before and after the pandemic makes this interpretation speculative. Further research is needed to determine causes, and future studies need to examine pandemic-linked long-term impacts on the mental health and well-being of older adults.</p>
    </sec>
  </body>
  <back>
    <app-group/>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term id="abb1">HRQoL</term>
          <def>
            <p>health-related quality of life.</p>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <fn-group>
      <fn fn-type="conflict">
        <p>None declared.</p>
      </fn>
    </fn-group>
    <ref-list>
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              <given-names>B</given-names>
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              <surname>Ware</surname>
              <given-names>JE</given-names>
            </name>
            <name name-style="western">
              <surname>Aaronson</surname>
              <given-names>NK</given-names>
            </name>
            <name name-style="western">
              <surname>Apolone</surname>
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              <surname>Bjorner</surname>
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            </name>
            <name name-style="western">
              <surname>Prieto</surname>
              <given-names>L</given-names>
            </name>
            <name name-style="western">
              <surname>Sullivan</surname>
              <given-names>M</given-names>
            </name>
          </person-group>
          <article-title>Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment</article-title>
          <source>J Clin Epidemiol</source>
          <year>1998</year>
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          <fpage>1171</fpage>
          <lpage>8</lpage>
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          <pub-id pub-id-type="pii">S0895435698001097</pub-id>
        </nlm-citation>
      </ref>
      <ref id="ref2">
        <label>2</label>
        <nlm-citation citation-type="journal">
          <person-group person-group-type="author">
            <name name-style="western">
              <surname>Salihu</surname>
              <given-names>HM</given-names>
            </name>
            <name name-style="western">
              <surname>Adegoke</surname>
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