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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2022.855016</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quality of life among patients with chronic non-communicable diseases during COVID-19 pandemic in Southern Ethiopia: A cross-sectional analytical study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Ayalew</surname> <given-names>Mohammed</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/869704/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Deribe</surname> <given-names>Bedilu</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hussen</surname> <given-names>Siraj</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1925377/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Defar</surname> <given-names>Semira</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Gedefaw</surname> <given-names>Abel</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>School of Nursing, College of Medicine and Health Sciences, Hawassa University</institution>, <addr-line>Hawassa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff2"><sup>2</sup><institution>School of Medical Laboratory, College of Medicine and Health Sciences, Hawassa University</institution>, <addr-line>Hawassa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Midwifery, College of Medicine and Health Sciences, Hawassa University</institution>, <addr-line>Hawassa</addr-line>, <country>Ethiopia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Department of Obstetrics and Gynecology, School of Medicine, College of Medicine and Health Sciences, Hawassa University</institution>, <addr-line>Hawassa</addr-line>, <country>Ethiopia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Jerome T. Galea, University of South Florida, United States</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Ehsan Sarbazi, Tabriz University of Medical Sciences, Iran; Aleksandra Ko&#x0142;tuniuk, Wroclaw Medical University, Poland</p></fn>
<corresp id="c001">&#x002A;Correspondence: Mohammed Ayalew, <email>mameayale@gmail.com</email></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Public Mental Health, a section of the journal Frontiers in Psychiatry</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>21</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>855016</elocation-id>
<history>
<date date-type="received">
<day>14</day>
<month>01</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2022 Ayalew, Deribe, Hussen, Defar and Gedefaw.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ayalew, Deribe, Hussen, Defar and Gedefaw</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The COVID-19 outbreak became a continuing global health agenda. It has a significant impact on individuals&#x2019; quality of life (QOL). Patients with preexisting medical conditions may have severely reduced QOL. The aim of this study was to assess QOL and its associated factors among patients with chronic non-communicable diseases (NCDs) during COVID-19 pandemic at Sidama Regional State, southern Ethiopia.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a multicenter, cross-sectional study from 1 June to 1 September 2021. A total of 633 participants took part in the study, using an interviewer-administered structured questionnaire. The QOL was measured using the World Health Organization Quality of Life (WHOQOL-BREF) Scale, which has 12 items. To describe different variables, descriptive statistics were employed. To find independent factors associated with QOL, we used multivariable linear regression analysis. <italic>P</italic>-value of &#x003C; 0.05 was declared statistically significant at 95% confidence interval (CI).</p>
</sec>
<sec>
<title>Results</title>
<p>The majority (56.4%) of participants were male and about half (53.1%) had a diagnosis of diabetes mellitus. The multivariable linear regression model showed statistically significant negative association between different independent variables such as age (&#x03B2; = &#x2212;0.188, 95% CI = &#x2212;0.238 to &#x2212;0.139), being female (&#x03B2; = &#x2212;1.942, 95% CI = &#x2212;3.237 to &#x2212;0.647), duration of illness &#x2264; 5 years (&#x03B2; = &#x2212;4.222, 95% CI = &#x2212;6.358 to &#x2212;2.087), alcohol use in the past 3 months (&#x03B2; = &#x2212;4.574, 95% CI = &#x2212;6.905 to &#x2212;2.243), common mental disorder (CMD) (&#x03B2; = &#x2212;1.512, 95% CI = &#x2212;2.924 to &#x2212;0.100), insomnia (&#x03B2; = &#x2212;0.274, 95% CI = &#x2212;0.380 to &#x2212;0.168), and QOL. Also, there is a statistically significant positive association between QOL and being illiterate (&#x03B2; = 3.919, 95% CI = 1.998&#x2013;5.841) and living in the rural area (&#x03B2; = 2.616, 95% CI = 1.242&#x2013;3.990).</p>
</sec>
<sec>
<title>Conclusion</title>
<p>In general, the findings confirmed that the COVID-19 pandemic had a negative impact on patients with chronic NCDs QOL. The QOL was significantly influenced by age, gender, educational status, residence area, duration of illness, alcohol use, CMD, and insomnia during COVID-19 pandemic. Thus, this study suggests that addressing insomnia, co-morbidities of mental disorders, and alcohol use has the potential effect to improve the QOL of patients with chronic medical illnesses.</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>quality of life</kwd>
<kwd>QOL</kwd>
<kwd>predictors</kwd>
<kwd>Ethiopia</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="60"/>
<page-count count="9"/>
<word-count count="6211"/>
</counts>
</article-meta>
</front>
<body>
<sec id="S1" sec-type="intro">
<title>Introduction</title>
<p>The coronavirus disease (COVID-19) pandemic, which began in China in December 2019, is still posing a global health risk (<xref ref-type="bibr" rid="B1">1</xref>). Over 304 million confirmed cases and 5.4 million deaths had been reported globally in the 2 years since its emergence, as of the first week of January 2022 (<xref ref-type="bibr" rid="B2">2</xref>). As of 2 January 2022, there were over 400 thousand COVID-19 confirmed cases in Ethiopia, and the virus was responsible for about 7,000 fatalities. Risk communication and awareness campaigns are being used to address worries about the alarming rise in COVID-19 cases and the widespread dissemination of flu-like symptoms among Ethiopians. Additionally, the COVID-19 vaccine has been given in doses totaling close to 11 million up to January 2022 (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<p>The severity and mortality of COVID-19 infections are thought to be increased in patients with preexisting medical conditions like diabetes mellitus (DM), hypertension, and malignancies (<xref ref-type="bibr" rid="B4">4</xref>). The case-fatality ratio was higher in patients with cardiovascular diseases (10.5%), diabetes (7.3%), and hypertension (6%) compared to the general population (2.3%) (<xref ref-type="bibr" rid="B5">5</xref>). Aside from physical health, COVID-19 has had a negative impact on mental health, causing significant anxiety and depression in people (<xref ref-type="bibr" rid="B6">6</xref>), and interfering with daily lives, jobs, and relationships. People are afraid of infection, dying, and losing family members during the COVID-19 outbreak. At the same time, many people have lost or are in danger of losing their jobs, have become socially isolated and separated from loved ones, and have seen stay-at-home orders implemented in some countries in drastic ways (<xref ref-type="bibr" rid="B7">7</xref>).</p>
<p>As a result, whether infected or not, COVID-19 has had a significant impact on people&#x2019;s quality of life (QOL) (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). The COVID-19 outbreak is regarded as an unforeseen traumatic life event that has harmed individuals&#x2019; QOL in general and particularly their health-related quality of life (HRQOL). HRQOL is a multidimensional concept that describes how an individual assesses his or her mental, physical, emotional, and social wellbeing (<xref ref-type="bibr" rid="B10">10</xref>). Many studies have been conducted to investigate the QOL of recovered COVID-19 cases in the general population, hospitalized patients, and chronic illness patients (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B13">13</xref>).</p>
<p>The COVID-19 pandemic has a significant negative impact on QOL, especially in terms of physical, mental, social, and spiritual wellbeing (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>). A recent study in Bangladesh found a link between chronic diseases such as hypertension (HTN), diabetes mellitus (DM), heart disease, asthma, kidney diseases, and cancer and significantly lower QOL in all domains (<xref ref-type="bibr" rid="B18">18</xref>). According to a recent Egyptian study, 64% and 62% of diabetic patients reported poor physical and mental QOL, respectively. (<xref ref-type="bibr" rid="B19">19</xref>). In a similar study conducted in the Netherlands, 43% of patients with chronic kidney disease reported that the COVID19 pandemic had reduced their QOL (<xref ref-type="bibr" rid="B20">20</xref>).</p>
<p>People with non-communicable chronic diseases (NCDs) found it challenging to see a doctor and have their prescriptions filled (<xref ref-type="bibr" rid="B21">21</xref>) during the COVID-19 pandemic. During the peak of the COVID-19 pandemic, movement restrictions and social isolation became the new normal, contributing to a substantial reduction in people&#x2019; activities, which is associated with a significant decline in overall QOL (<xref ref-type="bibr" rid="B22">22</xref>). As a result, it is essential to look into how the COVID-19 pandemic affected the QOL of individuals living with chronic NCDs.</p>
<p>The unbearable impact of the COVID-19 pandemic may have had a significant impact on the QOL of patients with chronic medical conditions. To the best of our knowledge, data on QOL assessment among chronic disease patients in response to the COVID-19 pandemic are scarce, particularly in low-income countries like Ethiopia. Furthermore, there is a scarcity of data on the relationship between COVID-19-related psychological complications (such as depression, anxiety, and stress) and QOL among chronic disease patients during the COVID-19 pandemic. Therefore, this study fills a research gap by (1) describing QOL among patients with chronic medical conditions and (2) identifying the association between various socio-demographic, clinical, and psychological factors and QOL to identify significant predictors of QOL among patients with chronic medical conditions during the era of COVID-19 pandemic.</p>
</sec>
<sec id="S2">
<title>Methods and materials</title>
<sec id="S2.SS1">
<title>Study design, area, and period</title>
<p>We conducted a cross-sectional study between 1 June and 1 September 2021 at four selected hospitals [Hawassa University Comprehensive Specialized Hospital (HUCSH), Adare General Hospital (AGH), Yirgalem General Hospital (YGH), and Leku Primary Hospital (LPH)] in Sidama National Regional State, southern Ethiopia.</p>
</sec>
<sec id="S2.SS2">
<title>Study participants</title>
<p>This study was conducted among patients with chronic non-communicable diseases such as diabetes mellitus, hypertension, chronic cardiovascular diseases, and respiratory diseases (e.g., asthma) that have regular follow-up visits. Patients receiving follow-up care in the outpatient departments of the four hospitals were consecutively requested to participate in the study, if they met the following criteria: (I) age &#x2265;18 years with chronic NCDs confirmed by physicians; (II) clinically stable and able to understand the purpose of the study; and (III) patients without any known psychiatric and neurocognitive disorders. However, patients with chronic NCDs who were admitted to the emergency/inpatient department for any reason were excluded from the study. We were planning to include 650 patients with chronic NCDs from the four hospitals based on the monthly patient flow (250 from HUCSH, 150 from AGH, 125 from YGH, and 125 from LPH). We used a consecutive sampling technique, and patients with chronic NCDs who visited hospitals during the study period and met the inclusion criteria were included in the study until the final study sample size was reached.</p>
</sec>
<sec id="S2.SS3">
<title>Data collection methods</title>
<p>A structured self-administered questionnaire was used to gather data. The questionnaire is divided into various sections, such as the socio-demographic and clinical characteristics of the patient, the Oslo Social Support Scale (OSSS), the Self-Reporting Questionnaire-20 (SRQ-20) to evaluate common mental disorders (CMD), the Insomnia Severity Index (ISI) to evaluate insomnia, and the World Health Organization Quality of Life Instruments (WHOQOL-BREF) to evaluate QOL. The questionnaire was prepared in English and translated to the local language Amharic. The Amharic version of the questionnaire was used to collect the data.</p>
<sec id="S2.SS3.SSS1">
<title>Social support</title>
<p>The level of social support among patients with chronic NCDs was assessed using the 3-item Oslo Social Support Scale (OSSS), and the scores range from 3 to 14. It is categorized as poor [3&#x2013;8], moderate [9&#x2013;11], and strong [12&#x2013;14] social support (<xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="S2.SS3.SSS2">
<title>Common mental disorder</title>
<p>A 20-item (SRQ-20) WHO screening tool was used to assess CMDs (<xref ref-type="bibr" rid="B24">24</xref>). Only binary (yes/no) questions are included, with &#x201C;1&#x201D; indicating the presence of a symptom and &#x201C;0&#x201D; indicating the absence of a symptom. The SRQ-20 item questions cover depression, anxiety, and psychosomatic complaints, which are all classified as CMD (<xref ref-type="bibr" rid="B25">25</xref>). The SRQ-20&#x2032;s validity, reliability, and cutoff score vary by population (culture, language, setting, and gender) in different settings (<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B28">28</xref>). With a sensitivity of 78.6% and specificity of 81.5%, the SRQ-20 had good internal reliability (&#x03B1; = 0.78) and an optimal cutoff score of 5/6 (<xref ref-type="bibr" rid="B29">29</xref>). The SRQ-20 measure demonstrated good internal consistency (Cronbach&#x2019;s &#x03B1; = 0.89) in our study.</p>
</sec>
<sec id="S2.SS3.SSS3">
<title>Insomnia</title>
<p>The ISI is a 7-item self-assessment questionnaire that assesses the nature, severity, and impact of insomnia (<xref ref-type="bibr" rid="B30">30</xref>). The dimensions evaluated are severity of sleep onset, sleep maintenance, early morning awakening problems, sleep dissatisfaction, interference of sleep difficulties with daytime functioning, noticeability of sleep problems by others, and distress caused by the sleep difficulties in the last month. Each item is rated on a 5-point Likert scale (e.g., 0 = no problem; 4 = very severe problem), yielding a total score ranging from 0 to 28. The total score is divided into four categories, namely, no insomnia [0&#x2013;7], sub-threshold insomnia [8&#x2013;14], moderate insomnia [15&#x2013;21], and severe insomnia [22&#x2013;28]. A higher score indicates a severe insomnia (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). The ISI measure demonstrated very good internal consistency (Cronbach&#x2019;s &#x03B1; = 0.96) in our study.</p>
</sec>
<sec id="S2.SS3.SSS4">
<title>Quality of life</title>
<p>We used the adapted version of 12 items (<xref ref-type="bibr" rid="B9">9</xref>), from the WHOQOL-BREF Scale to assess the impact of the COVID-19 pandemic on QOL (<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>). The adapted WHOQOL-BREF Scale had 12 items, each with a five-point rating from 1 = very low to 5 = very high; thus, the lowest possible score was 12, and the highest possible score was 60 for the total scale. Low scores indicate a lower QOL as a result of the COVID-19 pandemic&#x2019;s negative effects. The QOL measure demonstrated good internal consistency in the previous study (Cronbach&#x2019;s &#x03B1; = 0.81) (<xref ref-type="bibr" rid="B9">9</xref>). The WHOQOL-BRIEF 12 items (<xref ref-type="supplementary-material" rid="TS1">Supplementary File 1</xref>) used in our study demonstrated good internal consistency (Cronbach&#x2019;s &#x03B1; = 0.82).</p>
</sec>
</sec>
<sec id="S2.SS4">
<title>Data analysis</title>
<p>Collected data were entered to Epi-data version 3.1 and exported to SPSS (Statistical Package for Social Sciences) version 24 for analysis. Descriptive statistics such as frequency, percentage, mean, standard deviation, and median were used to describe different variables. Assumptions such as normality, lack of multi-collinearity among explanatory variables, presence of linearity relationship, independence, and homoscedasticity of the errors were checked. Simple and multivariable linear regressions were performed to identify independent predictors of QOL. <italic>P</italic>-values of &#x003C; 0.05 were declared statistically significant at 95% confidence interval (CI).</p>
</sec>
</sec>
<sec id="S3" sec-type="results">
<title>Results</title>
<p>This study included 633 participants. The majority of study participants (56.4%) were male, and 64.8% were married. About half (55.6%) were Protestant religious followers, followed by Orthodox Christians (25.9%), and about one-fourth (27.6%) were illiterate. More than one-fifth (22.7%) worked as a farmer, while 55.8% lived in urban. The mean age of the respondents was 46.49 &#x00B1; 17.71 years as described in <xref ref-type="table" rid="T1">Table 1</xref>.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Socio-demographic characteristics of study participants at Sidama National Regional State, southern Ethiopia, 2021 (<italic>n</italic> = 633).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td valign="top" align="center">Categories</td>
<td valign="top" align="center">Frequency</td>
<td valign="top" align="center">Percentage (%)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Age (mean &#x00B1; SD)</td>
<td valign="top" align="left" colspan="3">46.49 &#x00B1; 17.71</td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">Male</td>
<td valign="top" align="center">357</td>
<td valign="top" align="center">56.4</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="center">276</td>
<td valign="top" align="center">43.6</td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center">Single</td>
<td valign="top" align="center">135</td>
<td valign="top" align="center">21.3</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Married</td>
<td valign="top" align="center">410</td>
<td valign="top" align="center">64.8</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Divorced</td>
<td valign="top" align="center">36</td>
<td valign="top" align="center">5.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Widowed</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">8.2</td>
</tr>
<tr>
<td valign="top" align="left">Religion</td>
<td valign="top" align="center">Protestant</td>
<td valign="top" align="center">352</td>
<td valign="top" align="center">55.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Orthodox</td>
<td valign="top" align="center">164</td>
<td valign="top" align="center">25.9</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Muslim</td>
<td valign="top" align="center">103</td>
<td valign="top" align="center">16.3</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Others</td>
<td valign="top" align="center">14</td>
<td valign="top" align="center">2.2</td>
</tr>
<tr>
<td valign="top" align="left">Educational status</td>
<td valign="top" align="center">Illiterate</td>
<td valign="top" align="center">175</td>
<td valign="top" align="center">27.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Primary</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">25.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Secondary</td>
<td valign="top" align="center">131</td>
<td valign="top" align="center">20.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">College and above</td>
<td valign="top" align="center">165</td>
<td valign="top" align="center">26.1</td>
</tr>
<tr>
<td valign="top" align="left">Occupation</td>
<td valign="top" align="center">Gov&#x2019;t employee</td>
<td valign="top" align="center">121</td>
<td valign="top" align="center">19.1</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Private employee</td>
<td valign="top" align="center">67</td>
<td valign="top" align="center">10.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Merchant</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">14.2</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Student</td>
<td valign="top" align="center">68</td>
<td valign="top" align="center">10.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">House wife</td>
<td valign="top" align="center">102</td>
<td valign="top" align="center">16.1</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Farmer</td>
<td valign="top" align="center">144</td>
<td valign="top" align="center">22.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Jobless</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">3.3</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Other</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">3.2</td>
</tr>
<tr>
<td valign="top" align="left">Place of residence</td>
<td valign="top" align="center">Rural</td>
<td valign="top" align="center">280</td>
<td valign="top" align="center">44.2</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Urban</td>
<td valign="top" align="center">353</td>
<td valign="top" align="center">55.8</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>About half of the participants (53.1%) had diabetes mellitus, followed by hypertension (17.5%), and nearly one-third (31.6%) had a comorbid diagnosis. The majority of participants (57.5%) had been sick for 5 years, and 9.6% and 7.7% had used alcohol and khat in the previous 3 months, respectively. More than one-third (35.4%) of all participants had poor social support, while about half (52.4%) had moderate social support. The mean SRQ-20 and ISI scores were 6.06 &#x00B1; 5.09 and 6.62 &#x00B1; 6.89, respectively (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Clinical characteristics of study participants at Sidama National Regional State, southern Ethiopia, 2021 (<italic>n</italic> = 633).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left">Variable</td>
<td valign="top" align="center">Categories</td>
<td valign="top" align="center">Frequency</td>
<td valign="top" align="center">Percentage (%)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">Diagnosis</td>
<td valign="top" align="center">Diabetes mellitus</td>
<td valign="top" align="center">336</td>
<td valign="top" align="center">53.1</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Hypertension</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">17.5</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Asthma</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">7.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CVD</td>
<td valign="top" align="center">82</td>
<td valign="top" align="center">13.0</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Others<xref ref-type="table-fn" rid="t2fns1">&#x002A;</xref></td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">8.7</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid diagnosis</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">31.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">433</td>
<td valign="top" align="center">68.4</td>
</tr>
<tr>
<td valign="top" align="left">Duration of illness</td>
<td valign="top" align="center">&#x2264;5 years</td>
<td valign="top" align="center">364</td>
<td valign="top" align="center">57.5</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">6&#x2013;10 years</td>
<td valign="top" align="center">210</td>
<td valign="top" align="center">33.2</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2265;11 years</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">9.3</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol Use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">9.6</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">572</td>
<td valign="top" align="center">90.4</td>
</tr>
<tr>
<td valign="top" align="left">Cigarette Use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">17</td>
<td valign="top" align="center">2.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">616</td>
<td valign="top" align="center">97.3</td>
</tr>
<tr>
<td valign="top" align="left">Khat Use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">49</td>
<td valign="top" align="center">7.7</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">584</td>
<td valign="top" align="center">92.3</td>
</tr>
<tr>
<td valign="top" align="left">Social support</td>
<td valign="top" align="center">Poor</td>
<td valign="top" align="center">224</td>
<td valign="top" align="center">35.4</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Moderate</td>
<td valign="top" align="center">332</td>
<td valign="top" align="center">52.4</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Strong</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">12.2</td>
</tr>
<tr>
<td valign="top" align="left">Common mental disorders</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">209</td>
<td valign="top" align="center">33.0</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">424</td>
<td valign="top" align="center">67.0</td>
</tr>
<tr>
<td valign="top" align="left">Insomnia</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="center">249</td>
<td valign="top" align="center">39.3</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="center">384</td>
<td valign="top" align="center">60.7</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p>CVD, Cardiovascular disorders.</p></fn>
<fn id="t2fns1"><p>&#x002A;Epilepsy, stroke, neurological, renal, or hepatologic disorders.</p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3.SS1">
<title>Quality of life of participants</title>
<p>According to the WHOQOL-Brief (12-items) scale score, the mean QOL score of the participants was 33.07 &#x00B1; 8.90 with a minimum score of 12 and a maximum score of 53.</p>
</sec>
<sec id="S3.SS2">
<title>Independent factors associated with quality of life</title>
<p>Estimates of the multivariable linear regression model showed a statistically significant and negative association between different independent variables such as age (&#x03B2; = &#x2212;0.188, 95% CI = &#x2212;0.238 to &#x2212;0.139), CMD (SRQ-20 scale) (&#x03B2; = &#x2212;1.512, 95% CI = &#x2212;2.924 to &#x2212;0.100), insomnia (ISI scale) (&#x03B2; = &#x2212;0.274, 95% CI = &#x2212;0.380 to &#x2212;0.168), being female (&#x03B2; = &#x2212;1.942, 95% CI = &#x2212;3.237 to &#x2212;0.647), duration of illness &#x2264;5 years (&#x03B2; = &#x2212;4.222, 95% CI = &#x2212;6.358 to &#x2212;2.087), alcohol use in the past 3 months (&#x03B2; = &#x2212;4.574, 95% CI = &#x2212;6.905 to &#x2212;2.243), and the outcome variable QOL during COVID-19 pandemic. On the contrary, there is a statistically significant and positive association between QOL and being illiterate (&#x03B2; = 3.919, 95% CI = 1.998&#x2013;5.841) and living in the rural area (&#x03B2; = 2.616, 95% CI = 1.242&#x2013;3.990) (see <xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Simple and multiple linear regression for quality of life among patients with chronic medical illness during COVID-19 pandemic at southern Ethiopia, 2021 (<italic>n</italic> = 633).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left" colspan="2">Variables</td>
<td valign="top" align="left">Simple linear regression<hr/></td>
<td valign="top" align="center">Multiple linear regression<xref ref-type="table-fn" rid="t3fnd1"><sup>&#x2020;</sup></xref><hr/></td>
</tr>
<tr>
<td valign="top" colspan="2"/>
<td valign="top" align="center">&#x03B2; (95% CI)</td>
<td valign="top" align="center">&#x03B2; (95% CI)</td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left" colspan="2">Age</td>
<td valign="top" align="left">&#x2212;1.158 (&#x2212;0.195, &#x2212;0.121)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.188(&#x2212;0.238, &#x2212;0.139)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">CMD (SRQ&#x2212;20 scale)</td>
<td valign="top" align="left">&#x2212;0.524 (&#x2212;0.655, &#x2212;0.394)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;1.512(&#x2212;2.924, &#x2212;0.100)<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left" colspan="2">Insomnia (ISI scale)</td>
<td valign="top" align="left">&#x2212;0.490 (&#x2212;0.583, &#x2212;0.396)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.274(&#x2212;0.380, &#x2212;0.168)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Sex</td>
<td valign="top" align="center">Male</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Female</td>
<td valign="top" align="left">&#x2212;0.563 (&#x2212;1.964, 0.839)</td>
<td valign="top" align="center">&#x2212;1.942(&#x2212;3.237, &#x2212;0.647)<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left">Marital status</td>
<td valign="top" align="center">Single</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Married</td>
<td valign="top" align="left">1.958 (0.275, 3.641)<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.654 (&#x2212;1.105, 2.413)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Divorced</td>
<td valign="top" align="left">&#x2212;7.438 (&#x2212;10.386, &#x2212;4.491)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;2.543 (&#x2212;5.430, 0.345)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Widowed</td>
<td valign="top" align="left">&#x2212;3.729 (&#x2212;6.225, &#x2212;1.233)<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.163 (&#x2212;2.874, 3.200)</td>
</tr>
<tr>
<td valign="top" align="left">Educational status</td>
<td valign="top" align="center">Illiterate</td>
<td valign="top" align="left">5.302 (3.450, 7.154)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">3.919(1.998, 5.841) <xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Primary</td>
<td valign="top" align="left">3.646 (1.758, 5.534)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.913 (0.194, 3.632)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Secondary</td>
<td valign="top" align="left">2.223 (0.225, 4.221)<xref ref-type="table-fn" rid="t3fns1">&#x002A;&#x002A;&#x002A;</xref></td>
<td valign="top" align="center">0.698 (&#x2212;1.051, 2.448)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Tertiary</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Residence</td>
<td valign="top" align="center">Rural</td>
<td valign="top" align="left">4.106 (2.743, 5.468)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">2.616 (1.242, 3.990) <xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Urban</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Diagnosis</td>
<td valign="top" align="center">Asthma</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Hypertension</td>
<td valign="top" align="left">1.631 (&#x2212;1.249, 4.511)</td>
<td valign="top" align="center">2.007 (&#x2212;0.431, 4.445)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Diabetes</td>
<td valign="top" align="left">&#x2212;0.473 (&#x2212;3.014, 2.067)</td>
<td valign="top" align="center">&#x2212;0.084 (&#x2212;2.241, 2.073)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">CVD</td>
<td valign="top" align="left">&#x2212;0.388 (&#x2212;3.819, 3.043)</td>
<td valign="top" align="center">0.865 (&#x2212;2.029, 3.758)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">Others<xref ref-type="table-fn" rid="t3fna"><sup>a</sup></xref></td>
<td valign="top" align="left">0.512 (&#x2212;2.532, 3.556)</td>
<td valign="top" align="center">1.538 (&#x2212;0.987, 4.063)</td>
</tr>
<tr>
<td valign="top" align="left">Duration of illness</td>
<td valign="top" align="center">&#x2264;5 years</td>
<td valign="top" align="left">&#x2212;1.770 (&#x2212;4.223, 0.6684)</td>
<td valign="top" align="center">&#x2212;4.222 (&#x2212;6.358, &#x2212;2.087)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">6&#x2013;10 years</td>
<td valign="top" align="left">&#x2212;1.572 (&#x2212;4.148, 1.004)</td>
<td valign="top" align="center">&#x2212;2.087 (&#x2212;4.206, 0.031)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">&#x2265;11 years</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Comorbid diagnosis</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">&#x2212;3.649 (&#x2212;5.117, &#x2212;2.181)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">1.107 (&#x2212;0.352, 2.565)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Alcohol use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">&#x2212;9.567 (&#x2212;11.801, &#x2212;7.332)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;4.574 (&#x2212;6.905, &#x2212;2.243)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Cigarette use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">&#x2212;10.168 (&#x2212;14.395, &#x2212;5.941)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;3.890 (&#x2212;7.972, 0.192)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
<tr>
<td valign="top" align="left">Khat Use in the past 3 months</td>
<td valign="top" align="center">Yes</td>
<td valign="top" align="left">&#x2212;6.005 (&#x2212;8.564, &#x2212;3.446)<xref ref-type="table-fn" rid="t3fns1">&#x002A;</xref></td>
<td valign="top" align="center">&#x2212;0.386 (&#x2212;3.062, 2.291)</td>
</tr>
<tr>
<td valign="top" align="left"/>
<td valign="top" align="center">No</td>
<td valign="top" align="left" colspan="2">Reference</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="t3fns1"><p>&#x002A;<italic>p</italic> &#x003C; 0.001; &#x002A;&#x002A;<italic>p</italic> &#x003C; 0.01; &#x002A;&#x002A;&#x002A;<italic>p</italic> &#x003C; 0.05.</p></fn>
<fn><p>CVD, cardiovascular disorders; CMD, common mental disorders; ISI, Insomnia Severity Index; SRQ-20, Self-Reported Questionaire-20.</p></fn>
<fn id="t3fna"><p><sup>a</sup>Epilepsy, stroke, neurological, renal, and hepatologic disorders.</p></fn>
<fn id="t3fnd1"><p><sup>&#x2020;</sup>Multiple linear regression model reported that <italic>F</italic>(21, 621) = 17.811, <italic>p</italic> &#x003C; 0.001, with <italic>R</italic><sup>2</sup> = 0.380.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="S4" sec-type="discussion">
<title>Discussion</title>
<p>The global COVID-19 outbreak has wreaked havoc. Millions of lives were lost, and billions of people suffered psychologically and economically as a result. This study was used to assess the QOL of people who had chronic medical illnesses, as well as factors that were found to be significantly associated with QOL during the COVID-19 pandemic.</p>
<p>When the total WHOQOL-BRIEF score was compared to the sample socio-demographic characteristics, age was found to be a significant predictor, with QOL decreasing as age increased. This result was consistent with recent follow-up studies that found out older age was a risk factor for poor QOL (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B35">35</xref>). This association can be explained by the fact that older age is associated with lower levels of overall health and physical function (<xref ref-type="bibr" rid="B12">12</xref>). QOL is projected to decline as people age, as they are more likely to suffer from many health problems (<xref ref-type="bibr" rid="B36">36</xref>). Another explanation could be that when people become older, the risk of COVID-19 infection increases severely (<xref ref-type="bibr" rid="B37">37</xref>). This suggests that during the COVID-19 pandemic, aging had a detrimental impact on QOL scores among chronic medical ill individuals.</p>
<p>In our study, the QOL scores of female patients were significantly lower than that of male patients, indicating that their QOL was significantly worse. Similar associations have been discovered in earlier studies, which supports our conclusion (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B35">35</xref>). During the COVID-19 outbreak, women were shown to be more vulnerable to a variety of psychological problems (such as anxiety and depression) as compared to men (<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>). Moreover, it is a known fact that females are more likely to have a lower income, more hurdles to healthcare access, and more domestic task obligations. All of these reasons may have contributed to the poor QOL in females.</p>
<p>We found out that educational status is significantly associated with QOL, i.e., lower educational attainment has better QOL scores. This is supported by a recent study, which found that QOL scores were shown to be lower in patients with a higher degree of education (<xref ref-type="bibr" rid="B8">8</xref>), due to a higher level of awareness and concern about COVID-19 and its negative effect on QOL. In addition, according to Nguyen et al. those with a high level of education had a higher prevalence of depression during the pandemic, resulting in a stress burden that adversely affects their health-related QOL (<xref ref-type="bibr" rid="B40">40</xref>). On the contrary, previous studies also found that, with higher levels of education, there was a general increment in QOL scores (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Higher educational attainment is often associated with greater career prospects and higher earnings, hence improving an individual&#x2019;s QOL (<xref ref-type="bibr" rid="B41">41</xref>). However, uneducated participants claimed that their QOL was barely adequate in terms of thinking capacity, perceived physical safety and security, and vitality (<xref ref-type="bibr" rid="B41">41</xref>). Another rationale is that highly educated people may have a lot of wants and requirements in their daily lives, which may be jeopardized by the COVID-19 pandemic.</p>
<p>In our study, rural resident participants had higher QOL scores as compared to their counterparts. This is in line with previous study conducted by Hawlader et al. in Bangladesh (<xref ref-type="bibr" rid="B18">18</xref>). In urban areas, high population density and pollution levels may also have a negative impact on subjective QOL (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>Duration of illness is another significant predictor of QOL in our study. Those patients with &#x2264;5 years duration of illness have lower QOL score as compared to those with &#x2265;11 years. This may be because of the fact that QOL can improve over time as patients adjust to chronic illness, symptoms stabilize, and more effective treatment alternatives become available over the course of long-term illness (<xref ref-type="bibr" rid="B43">43</xref>&#x2013;<xref ref-type="bibr" rid="B45">45</xref>).</p>
<p>Our study showed that the QOL score was found to be lower among alcohol users when compared to non-alcohol users. Similar findings were reported in previous studies such that alcoholism is related to a reduced QOL (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Alcohol use has been shown to rise during stressful times such as pandemics (<xref ref-type="bibr" rid="B48">48</xref>). Alcohol consumption has a variety of intangible negative consequences, such as suffering, loss of healthy living, and deterioration of social and familial bonding, all of which contribute to a decrease in the individual&#x2019;s QOL (<xref ref-type="bibr" rid="B49">49</xref>). In addition, alcohol is related to an increased risk of weakening the immune system, making people more susceptible to infectious disorders such as COVID-19 (<xref ref-type="bibr" rid="B50">50</xref>). Individuals use alcohol to cope with COVID-19&#x2032;s stressful adaptive challenges (<xref ref-type="bibr" rid="B51">51</xref>). Some studies have revealed that those who drink have a much lower QOL, particularly in terms of their mental health and social functioning (<xref ref-type="bibr" rid="B52">52</xref>, <xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Our study also showed that participants who had CMD had a higher probability of having lower QOL scores. The findings were consistent with a prior study, which found lower QOL scores in those who reported higher levels of anxiety, depression, and stress (<xref ref-type="bibr" rid="B9">9</xref>). Depression and anxiety have been linked to cognitive dysfunction (<xref ref-type="bibr" rid="B54">54</xref>), physical distress (<xref ref-type="bibr" rid="B55">55</xref>), and poor social functioning (<xref ref-type="bibr" rid="B56">56</xref>), all of which have been associated with a reduction in patients&#x2019; QOL. Previous studies well established that there is an inverse association between QOL and mental health problems such as depression and anxiety (<xref ref-type="bibr" rid="B57">57</xref>). As a result, it is not surprising that having more perceived CMDs lowers the QOL of patients with chronic medical illness, as found by this study.</p>
<p>This study found a statistically significant negative association between the insomnia severity index scale and the QOL scale. Similarly, recent studies indicated that impaired QOL was found to be independently associated with lower sleep quality and insomnia (<xref ref-type="bibr" rid="B58">58</xref>, <xref ref-type="bibr" rid="B59">59</xref>). Insomnia&#x2019;s impact on QOL could be due to physical or mental health comorbidities, medications, and/or a variety of psychosocial issues, or it could be a symptom of a primary disease. Furthermore, insomnia causes significant impairments in occupational and social functioning, as evidenced by decreased productivity of work, recurrent absenteeism, decreased cognition and mood, and increased physical and psychological morbidity (<xref ref-type="bibr" rid="B60">60</xref>). These directly or indirectly affects QOL of individuals.</p>
<p>This study has some limitations. First, we recognize that a cross-sectional study could not detect the continuing impact of the COVID-19 pandemic on different dimensions of QOL; thus, future research could be done using data based on a longitudinal design. Second, we did not use preferred tools to assess QOL such as SF-6D that was primarily designed to measure QOL in clinical populations. Third, because only participants from south Ethiopia were included in the study, the results cannot be applied to all Ethiopians who have chronic NCDs. These results need to be verified by additional research using a larger sample size and perhaps even a qualitative assessment. Additionally, the use of the non-probability consecutive sampling method could be viewed as a limitation. Fourth, there is a potential for social desirability bias. For instance, when data were collected using an interviewer-administered method, participants may have over- or underreported their responses for a variety of reasons.</p>
</sec>
<sec id="S5" sec-type="conclusion">
<title>Conclusion</title>
<p>In general, increase in age, higher SRQ-20 score (having CMD), increased ISI score (insomnia), being female, shorter duration of illness (&#x003C;5 years), and alcohol use have a significant negative association with high QOL in patients with chronic medical condition during COVID-19 pandemic, whereas being illiterate and living in rural residence have a positive association with high QOL. Overall, the findings confirmed that the COVID-19 pandemic had a negative impact on an individual&#x2019;s QOL in a variety of ways. Thus, this study suggests that addressing insomnia, co-morbidities of mental disorders, and alcohol use has the potential effect to improve the QOL of patients with chronic medical illnesses.</p>
</sec>
<sec id="S6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in this study are included in the article/<xref ref-type="supplementary-material" rid="TS1">Supplementary material</xref>, further inquiries can be directed to the corresponding author/s.</p>
</sec>
<sec id="S7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by Hawassa University, College of Medicine and Health Sciences, Institutional Review Board (IRB) with reference number: IRB/076/13. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author contributions</title>
<p>MA, BD, AG, and SH participated in the conception, designed the study, and were involved in the data collection. MA, BD, and SD performed the analysis of the study. MA and SD prepared the manuscript for publication. BD, AG, SH, and SD critically reviewed the manuscript. All authors read and approved the final manuscript.</p>
</sec>
</body>
<back>
<sec id="S9" sec-type="funding-information">
<title>Funding</title>
<p>Hawassa University was funding this research to be conducted.</p>
</sec>
<ack>
<p>We would like to thank Hawassa University for providing fund to conduct this study. Our heartfelt gratitude also to the data collectors and participants for their valuable contributions to the study process.</p>
</ack>
<sec id="S10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="S11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="S12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fpsyt.2022.855016/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyt.2022.855016/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.DOCX" id="TS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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