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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychol.</journal-id>
<journal-title>Frontiers in Psychology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychol.</abbrev-journal-title>
<issn pub-type="epub">1664-1078</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyg.2021.755965</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Emotional Distress in Cancer Patients During the First Wave of the COVID-19 Pandemic</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Toquero</surname> <given-names>Patricia</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/1424435/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Blanco Fern&#x00E1;ndez</surname> <given-names>Carmen</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>L&#x00F3;pez Mart&#x00ED;</surname> <given-names>Mar&#x00ED;a Pilar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hern&#x00E1;ndez Mar&#x00ED;n</surname> <given-names>Berta</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Vera Cea</surname> <given-names>E. Beatriz</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1317068/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Garrido Garc&#x00ED;a</surname> <given-names>Ana</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>M&#x00E9;ndez Carrascosa</surname> <given-names>Elena</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ba&#x00F1;&#x00F3;n Torres</surname> <given-names>Dulce</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Donnay Candil</surname> <given-names>Olga</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Ballesteros Garc&#x00ED;a</surname> <given-names>Ana Isabel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>S&#x00E1;nchez-Torres</surname> <given-names>Jos&#x00E9; Miguel</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Costas Rojo</surname> <given-names>Pablo</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Mond&#x00E9;jar</surname> <given-names>Rebeca</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Colomer</surname> <given-names>Ramon</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1099169/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Romero-Laorden</surname> <given-names>Nuria</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1271467/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Medical Oncology, Hospital Universitario de La Princesa</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff2"><sup>2</sup><institution>Spanish Association Against Cancer (Asociaci&#x00F3;n Espa&#x00F1;ola Contra el C&#x00E1;ncer, or &#x201C;AECC&#x201D;)</institution>, <addr-line>Madrid</addr-line>, <country>Spain</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Medical Oncology, Hospital General Nuestra Sra. Del Prado</institution>, <addr-line>Talavera de la Reina</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Nazanin Derakhshan, Birkbeck, University of London, United Kingdom</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Bethany Chapman, Birkbeck, University of London, United Kingdom; Agata Benfante, University of Turin, Italy</p></fn>
<corresp id="c001">&#x002A;Correspondence: Patricia Toquero, <email>kiku.toquero@gmail.com</email>; <ext-link ext-link-type="uri" xlink:href="http://orcid.org/0000-0002-8352-1519">orcid.org/0000-0002-8352-1519</ext-link></corresp>
<fn fn-type="other" id="fn004"><p>This article was submitted to Psycho-Oncology, a section of the journal Frontiers in Psychology</p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>05</day>
<month>11</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>755965</elocation-id>
<history>
<date date-type="received">
<day>09</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>10</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2021 Toquero, Blanco Fern&#x00E1;ndez, L&#x00F3;pez Mart&#x00ED;, Hern&#x00E1;ndez Mar&#x00ED;n, Vera Cea, Garrido Garc&#x00ED;a, M&#x00E9;ndez Carrascosa, Ba&#x00F1;&#x00F3;n Torres, Donnay Candil, Ballesteros Garc&#x00ED;a, S&#x00E1;nchez-Torres, Costas Rojo, Mond&#x00E9;jar, Colomer and Romero-Laorden.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Toquero, Blanco Fern&#x00E1;ndez, L&#x00F3;pez Mart&#x00ED;, Hern&#x00E1;ndez Mar&#x00ED;n, Vera Cea, Garrido Garc&#x00ED;a, M&#x00E9;ndez Carrascosa, Ba&#x00F1;&#x00F3;n Torres, Donnay Candil, Ballesteros Garc&#x00ED;a, S&#x00E1;nchez-Torres, Costas Rojo, Mond&#x00E9;jar, Colomer and Romero-Laorden</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>
<p><bold>Background:</bold> The COVID-19 pandemic has caused mental health problems worldwide. The psychopathological implications of COVID-19 in cancer patients have rarely been addressed. Considering the increased vulnerability of oncology patients, this issue needs to be addressed to improve the long-term mental health status of these patients.</p>
<p><bold>Methods:</bold> We conducted a prospective study in outpatients under active cancer treatment during the first wave of the COVID-19 pandemic. A semi-structured 24-question survey was designed to measure baseline sociodemographic, psychosocial and COVID-19 exposure characteristics. The Hospital Anxiety and Depression Scale was used to measure psychological symptoms. A descriptive and analytical univariate analysis of the variables studied was performed. We used the <italic>Z</italic>-score to compare different populations (experimental and historical control cohort).</p>
<p><bold>Results:</bold> 104 patients were included, the majority of which were women (64.4%), were above 65 years of age (57.7%), had either lung and breast cancer (56.7%), had advanced disease (64%) and were undergoing chemotherapy (63.5%). 51% of them expressed greater fear of cancer than of COVID-19 infection or both.</p>
<p>In relation to HADS, 52.8% of emotional distress, 42.3% of anxiety and 58.6% of depression rates were detected. The main factors related with higher rates of psychological symptomatology were history of previous psychotropic drug consumption and the adoption of additional infection prevention measures because they considered themselves at risk of severe COVID-19 infection (<italic>p</italic> = 0.008; <italic>p</italic> = 0.003 for emotional distress, <italic>p</italic> = 0.026; <italic>p</italic> = 0.004 for anxiety, and <italic>p</italic> = 0.013; <italic>p</italic> = 0.008 for depression). Tumor type, stage, oncologic treatment or rescheduling of cancer treatments were not related to higher levels of psychological symptomatology.</p>
<p>Comparison of our results with another population of similar characteristics was not significant (<italic>Z</italic> score = &#x2212;1.88; <italic>p</italic> = 0.060).</p>
<p><bold>Conclusions:</bold> We detected high rates of emotional distress during the first wave of the COVID-19 pandemic among cancer patients in active treatment (52.8%). This was higher and clinically relevant than observed in a comparable population (42.5%), although not significant. Cancer itself is the main factor of concern for cancer patients, above and beyond the emotional distress generated by COVID-19 pandemic.</p>
</abstract>
<kwd-group>
<kwd>emotional distress</kwd>
<kwd>cancer</kwd>
<kwd>HADS &#x2013; Hospital Anxiety and Depression Scale</kwd>
<kwd>COVID-19</kwd>
<kwd>anxiety</kwd>
<kwd>depression</kwd>
</kwd-group>
<counts>
<fig-count count="0"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="42"/>
<page-count count="12"/>
<word-count count="9708"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="S1">
<title>Introduction</title>
<p>Since the COVID-19 pandemic showed up, the therapeutic and prognostic impact of COVID-19 infection on cancer patients has been evaluated (<xref ref-type="bibr" rid="B8">Curigliano et al., 2020</xref>; <xref ref-type="bibr" rid="B18">Liang et al., 2020</xref>; <xref ref-type="bibr" rid="B32">Sociedad Espa&#x00F1;ola de Oncolog&#x00ED;a M&#x00E9;dica [SEOM], 2020</xref>; <xref ref-type="bibr" rid="B36">Trilla, 2020</xref>; <xref ref-type="bibr" rid="B40">World Health Organization [WHO], 2020</xref>), suggesting a higher mortality and higher risk of developing complications (<xref ref-type="bibr" rid="B30">Saini et al., 2020</xref>). The greater physical vulnerability of cancer patients infected with Sars-Cov-2 seems to be related to the state of immunosuppression associated, caused by the tumor process itself and by the administration of antineoplastic treatments, the presence of comorbidities, and the need to regularly visit a hospital (<xref ref-type="bibr" rid="B23">Miyashita et al., 2020</xref>; <xref ref-type="bibr" rid="B27">Petrova et al., 2020</xref>; <xref ref-type="bibr" rid="B42">Zhang et al., 2020</xref>). At Hospital Universitario de La Princesa we recently published a mortality rate for COVID-19 disease in cancer patients of 33% (<xref ref-type="bibr" rid="B35">Toquero Diez et al., 2020</xref>), similar to that reported in other national and international centers (<xref ref-type="bibr" rid="B16">Lee et al., 2020</xref>).</p>
<p>Most studies in cancer patients infected with COVID-19 have focused on the clinical course and treatment of the infection (<xref ref-type="bibr" rid="B38">Wang and Zhang, 2020</xref>; <xref ref-type="bibr" rid="B42">Zhang et al., 2020</xref>). However, we do not have studies addressing the emotional impact that the first wave of the pandemic has had on oncology patients who were under active treatment, and who, therefore, regularly attended a hospital center during Spain&#x2019;s strictest months of lockdown and worst epidemiological situation of the pandemic.</p>
<p>Psychopathological disorders (emotional distress, anxiety, and depression) in cancer patients are frequent and exceed those observed in the general population (<xref ref-type="bibr" rid="B29">Pitman et al., 2018</xref>). Moreover, they differ widely according to the stage of the oncological disease, type of patient (ambulatory or hospitalized), treatment received, and various social, psychological, and physical factors (<xref ref-type="bibr" rid="B12">Hern&#x00E1;ndez et al., 2013</xref>). Several studies have been carried out in the oncologic population evaluating psychopathological symptomatology (<xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>; <xref ref-type="bibr" rid="B11">Hern&#x00E1;ndez and Antonio Cruzado, 2013</xref>; <xref ref-type="bibr" rid="B12">Hern&#x00E1;ndez et al., 2013</xref>). Despite differences in the development and interpretation of the results, all have shown the importance of the psychological approach in the comprehensive treatment of cancer patients, especially in the most vulnerable. This has also been demonstrated in the context of other epidemics. Studies evaluating the emotional impact of the SARS epidemic in 2004 or Ebola in 2014 have shown a worsening in psychological symptomatology rates in the global population, and to a greater extent, among the most vulnerable groups such as cancer patients (<xref ref-type="bibr" rid="B5">Brooks et al., 2020</xref>). Therefore, the COVID-19 pandemic is likely to magnify mental health problems in cancer patients (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>).</p>
<p>The studies published to date about the emotional impact caused by the COVID-19 pandemic in oncology patients are scarce, and the different studies have important methodological differences, mainly due to the use of different scales for measuring psychopathological symptomatology (HADS, CES-D, GSDS, etc.)&#x2014;some of which are not clearly validated in this type of population&#x2014;and also because they used different cut-off points. The studied populations are heterogeneous (patients with cancer under active treatment or follow-up, long survivors, different types of tumors or tumor stage, etc.), which make it difficult to compare or extrapolate conclusions (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref>; <xref ref-type="bibr" rid="B21">Miaskowski et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>). In this regard, rates of depression and anxiety in cancer patients reported during the COVID-19 pandemic vary widely between 11.8&#x2013;35.3 and 9.9&#x2013;69.2%, respectively (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Lou et al., 2020</xref>; <xref ref-type="bibr" rid="B37">van de Poll-Franse et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Gultekin et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Mogami et al., 2021</xref>).</p>
<p>In our knowledge, this is the first prospective study to evaluate the emotional and social implications of the COVID-19 pandemic in cancer outpatients who were on active treatment exclusively, and who regularly attended a hospital center during the first and arguably most impactful wave of the COVID-19 pandemic. Thus, the main objective of this study is to explore the level of emotional distress and anxious and/or depressive symptomatology of oncology patients during the first wave of the COVID-19 pandemic, and subsequently, to study the relationship between psychological symptomatology of these patients and a range of sociodemographic, clinical, economic, and spiritual factors.</p>
</sec>
<sec id="S2" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="S2.SS1">
<title>Study Design and Patients</title>
<p>We conducted a prospective descriptive correlational study, including (a) adult patients (b) with a diagnosis of solid tumor (c) who were undergoing active oncologic treatment, and who (d) regularly attended to the oncohematologic Day Hospital (DH) at Hospital Universitario de La Princesa (HULP) (e) between May 18th and June 5th, 2020. All patients who were treated in the medical oncology service during this period, and consequently attended face-to-face consultations, were offered the possibility of participating in this study voluntarily. No payment was received for their contribution to this study.</p>
</sec>
<sec id="S2.SS2">
<title>Ethical Approval Statement</title>
<p>The study was developed in accordance with the fundamental principles of Good Clinical Practice established in the Declaration of Helsinki. It was approved by the Drug Research Ethical Committee (CEIm) of the <italic>Hospital Universitario de La Princesa</italic> (<italic>registration number &#x201C;4122,&#x201D; approved 22-05-20, CEIm 12/20</italic>). All patients signed an informed consent (IC) form prior to their participation in the study, and the questionnaire responses were anonymized.</p>
</sec>
<sec id="S2.SS3">
<title>Data Collection</title>
<p>Data collection was performed using two types of questionnaires. A 24-question semi-structured questionnaire was designed to measure clinical and sociodemographic variables and the exposure level to COVID-19. This questionnaire was designed considering possible risk factors related to elevated rates of emotional distress in cancer patients and based on previous clinical evidence (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Lou et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>; <xref ref-type="bibr" rid="B37">van de Poll-Franse et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Gultekin et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Mogami et al., 2021</xref>). The HADS (Hospital Anxiety and Depression Scale) questionnaire was used to measure variables related to psychological symptomatology. Both surveys were completed individually by the patients during their stay at the oncohematologic DH, only the items related to oncologic disease were recorded by the researchers to ensure reliability. A complete copy of the questionnaire (general questionnaire and HADS) can be found in the <xref ref-type="supplementary-material" rid="DS1">Supplementary Material</xref>.</p>
<list list-type="simple">
<list-item>
<label>(A)</label>
<p>General Questionnaire:</p>
</list-item>
</list>
<list list-type="simple">
<list-item><p>It consisted of 24 questions including the variables below:</p>
</list-item>
</list>
<list list-type="simple">
<list-item>
<label>&#x2022;</label>
<p>Sociodemographic and comorbidity: age, sex (male/female), marital status (single/married/divorced/widowed), educational level (high school graduate/University education/no education), etc.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>Related to oncologic disease: tumor type, tumor stage (localized/metastatic), type of treatment administered (chemotherapy/immunotherapy/other), etc.</p>
</list-item>
<list-item>
<label>&#x2022;</label>
<p>COVID-19-related: presence of active COVID-19 infection (yes/no), living with COVID-19-positive patients (yes/no), number of visits to HULP during the first wave of the pandemic, level of information received about COVID-19 (a lot to some/little to none), COVID-19-caused death of family member or close contact (yes/no), etc.</p>
</list-item>
</list>
<list list-type="simple">
<list-item>
<label>(B)</label>
<p>HADS (Hospital Anxiety and Depression Scale):</p>
</list-item>
</list>
<list list-type="simple">
<list-item>
<p>The HADS scale is a well-known emotional distress self-report questionnaire, and one of the most frequently used in oncology. It was selected as the optimum method for measuring psychological symptomatology in this study. This scale has been widely validated and used as a reliable self-assessment instrument for screening for depression and anxiety in the hospital setting in the general population (<xref ref-type="bibr" rid="B13">Herrero et al., 2003</xref>), and also in cancer patients (<xref ref-type="bibr" rid="B31">Snaith, 2003</xref>; <xref ref-type="bibr" rid="B9">Grassi et al., 2004</xref>; <xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>; <xref ref-type="bibr" rid="B22">Mitchell et al., 2010</xref>). Unlike other screening methods, it does not include references to somatic symptoms derived from emotional stress, such as weight loss or insomnia, which could be caused directly by the disease itself or related to the oncological treatment (<xref ref-type="bibr" rid="B22">Mitchell et al., 2010</xref>). It is composed of two subscales (HADS-A: anxiety, and HADS-D: depression) of seven items each, answered using a 4-point Likert scale (from 0 to 3) (<xref ref-type="bibr" rid="B12">Hern&#x00E1;ndez et al., 2013</xref>). The scores for each subscale are 0&#x2013;21 and 0&#x2013;42 for the full scale. Both subscales are broadly correlated with each other [Cronbach&#x2019;s alpha, a measure of scale reliability, for HADS-A varies between 0.68 and 0.93 (mean 0.83) and for HADS-D between 0.67 and 0.90 (mean 0.82) (<xref ref-type="bibr" rid="B4">Bjelland et al., 2002</xref>)].</p>
</list-item>
<list-item><p>According to the available evidence for cancer outpatient population, a cut-off point of 10 (0&#x2013;9 vs. 10&#x2013;42) was used for emotional distress screening, 7 for anxiety screening (0&#x2013;6 vs. 7&#x2013;21) and 4 (0&#x2013;3 vs. 4&#x2013;21) for depression, both with a sensitivity and specificity of more than 70&#x2013;80% (<xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>). Higher scores above the established cut-off point were associated with higher rates of psychopathological symptomatology.</p>
</list-item>
</list>
</sec>
<sec id="S2.SS4">
<title>Statistical Analysis</title>
<p>An initial descriptive analysis of the sociodemographic, clinicopathological, and psychological variables of the surveyed patients was performed. For quantitative variables, measures of central tendency and dispersion were used (arithmetic mean and standard deviation, median and interquartile range). For qualitative variables absolute and relative frequencies in percent. The possible association between the principal variables (emotional distress, anxiety, and depression) and the secondary sociodemographic variables collected was studied using Pearson&#x2019;s chi-square (&#x03C7;<sup>2</sup>) for qualitative variables (Fisher&#x2019;s exact test, if both variables were dichotomous) and the Student&#x2019;s <italic>t</italic>-test for quantitative variables. All p tests were two-tailed (two tails) and a value of &#x003C;0.05 was considered statistically significant due to exploratory nature of the study. The IBM SPSS Statistics 25 program was used for the statistical analysis.</p>
<p>To compare results of psychopathological symptomatology in a different population with similar characteristics we used the &#x201C;<italic>Z</italic> score&#x201D; (Population A; the experimental cohort, and population B; the control group &#x2013; historical control subject). This value enables us to compare two scores that are from different samples (which may have different means and standard deviations). Questionaries with incomplete data were excluded from the final analysis (<italic>N</italic> = 26).</p>
<sec id="S2.SS4.SSS1">
<title>Sample Size</title>
<p>As an exploratory study, there was not enough previous evidence available to estimate an adequate sample size. The prevalence of psychological disorders in cancer patients reported is higher compared with the general population (<xref ref-type="bibr" rid="B11">Hern&#x00E1;ndez and Antonio Cruzado, 2013</xref>), however, the variability among studies makes it difficult to know the real prevalence of these types of disorders. In our study, due to the impossibility to guarantee a correct randomization of patients during the first wave of the pandemic, we decided to use a historical cohort like control group. In this sense, for the comparison of our results we used those reported in the study by <xref ref-type="bibr" rid="B25">Moncayo et al. (2008)</xref>, which used a methodology and patient sample very similar to ours, considering a prevalence of emotional distress of 42.5% (<xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>) in the reference group. Accepting an alpha risk of 0.05 and a beta risk of 0.2 in bilateral contrast, we estimated the need for a minimum of 95 subjects to detect a difference equal to or greater than 15%. A 10% of losses rate was also considered.</p>
</sec>
</sec>
</sec>
<sec sec-type="results" id="S3">
<title>Results</title>
<sec id="S3.SS1">
<title>Baseline Characteristics (Sociodemographic, Psychosocial and Clinical Characteristics Related to Oncologic Disease)</title>
<p>The main baseline characteristics of the studied population (<italic>N</italic> = 104) are shown in <xref ref-type="table" rid="T1">Table 1</xref>. The mean age was 62 years (29&#x2013;87) 64.4% were women, 53.8% were married, and 57.7% had a high school diploma. Ten patients (9.6%) were smokers and 57.7% occasionally consumed alcohol. Seven patients (6.7%) had a previous diagnosis of major psychiatric disorder, although 70% affirmed that they were treated with benzodiazepines or antidepressants at the time of the study.</p>
<table-wrap position="float" id="T1">
<label>TABLE 1</label>
<caption><p>Baseline characteristics of the surveyed population (<italic>n</italic> = 104).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Sociodemographic characteristics</bold></td>
<td valign="top" align="center"><bold>Patients under active treatment at HULP</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Age</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Under 65 years of age</td>
<td valign="top" align="center">60 (57.7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Over 65 years of age</td>
<td valign="top" align="center">44 (42.3%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Gender</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Female</td>
<td valign="top" align="center">67 (64.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Male</td>
<td valign="top" align="center">37 (35.6%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Married</td>
<td valign="top" align="center">56 (53.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Single</td>
<td valign="top" align="center">28 (26.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Divorced/separated</td>
<td valign="top" align="center">12 (11.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Widowed</td>
<td valign="top" align="center">8 (7.7%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Level of education</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; University education</td>
<td valign="top" align="center">40 (38.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; High school graduate</td>
<td valign="top" align="center">60 (57.7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; None</td>
<td valign="top" align="center">4 (3.8%)</td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Psychosocial characteristic</bold></td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left"><bold>Psychiatric disease (DSM-V)</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No</td>
<td valign="top" align="center">95 (91.3%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes</td>
<td valign="top" align="center">7 (6.7%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Used of psychotropic drugs (BZD/AD)</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No</td>
<td valign="top" align="center">72 (70.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes</td>
<td valign="top" align="center">30 (29.4%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Smoker</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No</td>
<td valign="top" align="center">93 (89.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes</td>
<td valign="top" align="center">10 (9.6%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Alcohol consumption <xref ref-type="table-fn" rid="tfna">&#x002A;</xref>1</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; None</td>
<td valign="top" align="center">39 (37.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Occasional (1&#x2013;2 alcoholic beverages/week)</td>
<td valign="top" align="center">60 (57.7%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Frequent (almost every day)</td>
<td valign="top" align="center">5 (4.8%)</td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Clinical characteristics (oncologic disease)</bold></td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left"><bold>Type of tumor <xref ref-type="table-fn" rid="tfnb">&#x002A;</xref>2</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Lung cancer</td>
<td valign="top" align="center">31 (29.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Breast cancer</td>
<td valign="top" align="center">28 (26.9%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Colorectal cancer</td>
<td valign="top" align="center">12 (11.5%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Tumor stage</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Metastatic</td>
<td valign="top" align="center">66 (63.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Localized</td>
<td valign="top" align="center">38 (36.5%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Anti-cancer treatment</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Chemotherapy</td>
<td valign="top" align="center">66 (63.5%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Immunotherapy</td>
<td valign="top" align="center">21 (20.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Other</td>
<td valign="top" align="center">15 (14.4%)</td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left" colspan="2"><bold>Number of visits oncohematologic DH during the first wave of the COVID-19 Pandemic</bold></td>
</tr>
<tr><td colspan="2"><hr/></td></tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Median</td>
<td valign="top" align="center">5 (1&#x2013;30)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Up to 4</td>
<td valign="top" align="center">37 (35.6%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; More (&#x2265;) than 5</td>
<td valign="top" align="center">67 (64.4%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Rescheduling of oncologic treatment:</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No</td>
<td valign="top" align="center">76 (73%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes</td>
<td valign="top" align="center">28 (27%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfna"><p><italic>&#x002A;<sup>1</sup>None had an excessive consumption.</italic></p></fn>
<fn id="tfnb"><p><italic>&#x002A;<sup>2</sup>Others type of tumor: digestive cancer (non-colorectal) 16 (15.4%), Genitourinary.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The most frequently diagnosed tumor was lung cancer (29.8%), followed by breast cancer (26.9%). Most of the patients surveyed (63.5%) had metastatic cancer, with 63.5% undergoing chemotherapy. 51% of the patients expressed greater concern about their tumor compared with the risk of COVID-19 infection, 18% had COVID-19 as main concern, and 31% were equally concerned about both.</p>
</sec>
<sec id="S3.SS2">
<title>Characteristics Related to Exposure to COVID-19</title>
<p>The mean number of visits to HULP during the first wave of the COVID-19 pandemic was 5 (1&#x2013;30), and 27.9% of the patients visited the hospital more than 10 times. 94% of the patients had not been diagnosed of COVID-19. Six percent (6%) lived with COVID-19-positive patients. The financial situation of 24% patients worsened since the start of the pandemic. 40% of the patients used religion as a method of reflection and relief, and 10% resorted to different types of relaxation therapies (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap position="float" id="T2">
<label>TABLE 2</label>
<caption><p>Baseline characteristics of the surveyed population (<italic>n</italic> = 104).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Characteristics related to exposure to COVID-19</bold></td>
<td valign="top" align="center"><bold>Patients under active treatment at HULP</bold></td>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Previous COVID-19 infection:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (98)</td>
<td valign="top" align="center">98 (94.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (6)</td>
<td valign="top" align="center">6 (5.8%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Living with a COVID-19-positive patient:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (98)</td>
<td valign="top" align="center">98 (94.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (6)</td>
<td valign="top" align="center">6 (5.8%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Information level on COVID-19:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (77)</td>
<td valign="top" align="center">77 (74%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (27)</td>
<td valign="top" align="center">27 (26%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Increased concern for/fear of:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Tumor (53)</td>
<td valign="top" align="center">53 (51%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; COVID-19 (19)</td>
<td valign="top" align="center">19 (18.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Both equally (32)</td>
<td valign="top" align="center">32 (30.8%)</td>
</tr>
<tr>
<td valign="top" align="left"><bold>Death or admission of family member/close friend:</bold></td>
<td valign="top" align="justify"/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (68)</td>
<td valign="top" align="center">68 (65,4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (36)</td>
<td valign="top" align="center">36 (34.6%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Increased prevention of COVID-19 infection as an oncology patient:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (83)</td>
<td valign="top" align="center">83 (79.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (21)</td>
<td valign="top" align="center">21 (20.2%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Family/social support:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (98)</td>
<td valign="top" align="center">98 (94.2%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (6)</td>
<td valign="top" align="center">6 (5.8%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Worsened financial situation:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (79)</td>
<td valign="top" align="center">79 (76%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (25)</td>
<td valign="top" align="center">25 (24%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Support provided by religion:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (62)</td>
<td valign="top" align="center">62 (60%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (42)</td>
<td valign="top" align="center">42 (40%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Support provided by relaxing therapies:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (10)</td>
<td valign="top" align="center">94 (90.4%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (94)</td>
<td valign="top" align="center">10 (9.6%)</td>
</tr>
<tr>
<td valign="top" align="justify" colspan="2"><bold>Media exposure</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (&#x003E;2 times per day) (57)</td>
<td valign="top" align="center">57 (54.8%)</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (&#x2264;1 time per day) (47)</td>
<td valign="top" align="center">47 (54.2%)</td>
</tr>
</tbody>
</table></table-wrap>
</sec>
<sec id="S3.SS3">
<title>Psychopathological Symptomatology</title>
<p>The results obtained from the study of psychopathological symptomatology (emotional distress, anxiety, and depression) are presented in <xref ref-type="table" rid="T3">Tables 3</xref>, <xref ref-type="table" rid="T4">4</xref>, according to the presence of patient baseline characteristics or COVID-19-related variables.</p>
<table-wrap position="float" id="T3">
<label>TABLE 3</label>
<caption><p>Baseline characteristics (sociodemographic, comorbidity, and oncologic disease) and existence of emotional distress, anxiety, and depression (HADS scale).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Variables</bold></td>
<td valign="top" align="center"><bold>HADS-T</bold></td>
<td valign="top" align="center"><bold>HADS-A</bold></td>
<td valign="top" align="center"><bold>HADS-D</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-T</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-A</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-D</bold></td>
</tr>
<tr>
<td></td>
<td colspan="3"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>Case</bold></td>
<td valign="top" align="center"><bold>Case</bold></td>
<td valign="top" align="center"><bold>Case</bold></td>
<td/>
<td/>
<td/>
</tr>
<tr><td colspan="7"><hr/></td></tr>
<tr>
<td valign="top" align="left"><bold>TOTAL (104 patients)</bold></td>
<td valign="top" align="center"><bold>55 (52.8%)</bold></td>
<td valign="top" align="center"><bold>44 (42.3%)</bold></td>
<td valign="top" align="center"><bold>61 (58.6%)</bold></td>
<td valign="top" colspan="3"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Age:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; &#x003C;65 years old (60)</td>
<td valign="top" align="center">36 (60%)</td>
<td valign="top" align="center">29 (48.3%)</td>
<td valign="top" align="center">37 (61.7%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; &#x2265;65 years old (44)</td>
<td valign="top" align="center">19 (43.2%)</td>
<td valign="top" align="center">15 (34.1%)</td>
<td valign="top" align="center">24 (54.5%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Gender:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Female (67)</td>
<td valign="top" align="center">38 (56.7%)</td>
<td valign="top" align="center">31 (46.3%)</td>
<td valign="top" align="center">42 (62.7%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Male (37)</td>
<td valign="top" align="center">17 (45.9%)</td>
<td valign="top" align="center">13 (35.1%)</td>
<td valign="top" align="center">19 (51.4%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Marital status:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Married (56)</td>
<td valign="top" align="center">31 (55.4%)</td>
<td valign="top" align="center">23 (41.1%)</td>
<td valign="top" align="center">32 (57.1%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Single (28)</td>
<td valign="top" align="center">16 (57.1%)</td>
<td valign="top" align="center">13 (46.4%)</td>
<td valign="top" align="center">18 (64.3%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Divorced (12)</td>
<td valign="top" align="center">4 (33.3%)</td>
<td valign="top" align="center">4 (33.3%)</td>
<td valign="top" align="center">6 (50%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Widowed (8)</td>
<td valign="top" align="center">4 (50%4)</td>
<td valign="top" align="center">4 (50%)</td>
<td valign="top" align="center">5 (62.5%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Level of education:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; University education (40)</td>
<td valign="top" align="center">1 7 (42.5%)</td>
<td valign="top" align="center">16 (40%)</td>
<td valign="top" align="center">18 (45%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center"><bold>0.032</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; High school graduated (60)</td>
<td valign="top" align="center">35 (58.3%)</td>
<td valign="top" align="center">25 (41.7%)</td>
<td valign="top" align="center">39 (65%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; None (4)</td>
<td valign="top" align="center">3 (75%)</td>
<td valign="top" align="center">3 (75%)</td>
<td valign="top" align="center">4 (100%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Previous psychiatric illness:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (95)</td>
<td valign="top" align="center">47 (49.5%)</td>
<td valign="top" align="center">38 (40%)</td>
<td valign="top" align="center">53 (55.8%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (7)</td>
<td valign="top" align="center">6 (85.7%)</td>
<td valign="top" align="center">5 (71.4%)</td>
<td valign="top" align="center">6 (85.7%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Previous used of psychotropic drugs (BZD/AD):</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (72)</td>
<td valign="top" align="center">32 (44.4%)</td>
<td valign="top" align="center">26 (36.1%)</td>
<td valign="top" align="center">36 (50%)</td>
<td valign="top" align="center"><bold>0.008</bold></td>
<td valign="top" align="center"><bold>0.026</bold></td>
<td valign="top" align="center"><bold>0.013</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (30)</td>
<td valign="top" align="center">22 (73.3%)</td>
<td valign="top" align="center">18 (60%)</td>
<td valign="top" align="center">23 (76.7%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Smoker</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (93)</td>
<td valign="top" align="center">50 (53.8%)</td>
<td valign="top" align="center">41 (44.1%)</td>
<td valign="top" align="center">54 (58.1%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (10)</td>
<td valign="top" align="center">4 (40%)</td>
<td valign="top" align="center">2 (20%)</td>
<td valign="top" align="center">6 (60%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Alcohol consumption</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; None (39)</td>
<td valign="top" align="center">24 (61.5%)</td>
<td valign="top" align="center">21 (53.8%)</td>
<td valign="top" align="center">25 (64.5%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Occasional (1&#x2013;2 alcoholic beverages/week) (60)</td>
<td valign="top" align="center">27 (45%)</td>
<td valign="top" align="center">21 (35%)</td>
<td valign="top" align="center">32 (53.3%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Frequent (almost every day) (5)</td>
<td valign="top" align="center">4 (80%)</td>
<td valign="top" align="center">2 (40%)</td>
<td valign="top" align="center">4 (80%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Type of cancer:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Lung cancer (31)</td>
<td valign="top" align="center">18 (58.1%)</td>
<td valign="top" align="center">13 (41.9%)</td>
<td valign="top" align="center">19 (61.3%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Breast cancer (28)</td>
<td valign="top" align="center">16 (57.1%)</td>
<td valign="top" align="center">14 (50%)</td>
<td valign="top" align="center">16 (57.1%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Colorectal cancer (12)</td>
<td valign="top" align="center">5 (41.7%)</td>
<td valign="top" align="center">3 (25%)</td>
<td valign="top" align="center">5 (41.7%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Tumor stage:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Metastatic (66)</td>
<td valign="top" align="center">33 (50%)</td>
<td valign="top" align="center">27 (40.9%)</td>
<td valign="top" align="center">39 (59.1%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Localized (38)</td>
<td valign="top" align="center">22 (57.9%)</td>
<td valign="top" align="center">17 (44.7%)</td>
<td valign="top" align="center">22 (57.9%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Active treatment (during the COVID-19 pandemic):</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Chemotherapy (66)</td>
<td valign="top" align="center">35 (53%)</td>
<td valign="top" align="center">31 (47%)</td>
<td valign="top" align="center">38 (57.6%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Immunotherapy (22)</td>
<td valign="top" align="center">9 (40.9%)</td>
<td valign="top" align="center">6 (27.3%)</td>
<td valign="top" align="center">13 (59.1%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Other (16)</td>
<td valign="top" align="center">11 (68.8%)</td>
<td valign="top" align="center">7 (43.8%)</td>
<td valign="top" align="center">10 (62.5%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Number of visits oncohematologic DH during the first wave of the COVID-19 pandemic</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Less than 5 visits (37)</td>
<td valign="top" align="center">21 (56,8%)</td>
<td valign="top" align="center">18 (48,6%)</td>
<td valign="top" align="center">22 (59.2%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; More (&#x2265;) than 5 visits (67)</td>
<td valign="top" align="center">34 (50.7%)</td>
<td valign="top" align="center">26 (38.8%)</td>
<td valign="top" align="center">39 (58.2%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Rescheduling of oncologic treatment:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (76)</td>
<td valign="top" align="center">39 (51.3%)</td>
<td valign="top" align="center">34 (44.7%)</td>
<td valign="top" align="center">43 (56.6%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (28)</td>
<td valign="top" align="center">16 (57.1%)</td>
<td valign="top" align="center">10 (35.7%)</td>
<td valign="top" align="center">18 (64.3%)</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Descriptive and univariate analysis using Chi-square distribution. HADS-T, Hospital Anxiety and Depression Scale-Combined subscales [as &#x201C;case&#x201D; we considered cutoff of 10 (0&#x2013;9 vs. 10&#x2013;42)]. HADS-A; Hospital Anxiety and Depression Scale-Anxiety subscale (as &#x201C;case&#x201D; we considered cutoff of 7 (0&#x2013;6 vs. 7&#x2013;21). HADS-D, Hospital Anxiety and Depression Scale-Depression subscale [as &#x201C;case&#x201D; we considered cutoff of 4 (0&#x2013;3 vs. 4&#x2013;21)]. BZD, benzodiazepines; AD, anti-depressants. NS, no significant (<italic>p</italic> &#x003C; 0,05). The bold values represent statistical significance.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T4">
<label>TABLE 4</label>
<caption><p>Variables related to exposure to COVID-19, and the existence of emotional distress, anxiety, and depression (HADS scale).</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Variables</bold></td>
<td valign="top" align="center"><bold>HADS-T</bold></td>
<td valign="top" align="center"><bold>HADS-A</bold></td>
<td valign="top" align="center"><bold>HADS-D</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-T</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-A</bold></td>
<td valign="top" align="center"><bold><italic>p-</italic>HADS-D</bold></td>
</tr>
<tr>
<td></td>
<td colspan="3"><hr/></td>
</tr>
<tr>
<td/>
<td valign="top" align="center"><bold>Case</bold> <bold>(10&#x2013;42)</bold></td>
<td valign="top" align="center"><bold>Case</bold> <bold>(7&#x2013;21)</bold></td>
<td valign="top" align="center"><bold>Case</bold> <bold>(4&#x2013;21)</bold></td>
<td/>
<td/>
<td/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><bold>Previous COVID-19 infection:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (98)</td>
<td valign="top" align="center">51 (52%)</td>
<td valign="top" align="center">42 (42.9%)</td>
<td valign="top" align="center">57 (58.2%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (6)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td valign="top" align="center">2 (33.3%)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Living with a COVID-19-positive patient:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (98)</td>
<td valign="top" align="center">51 (51%)</td>
<td valign="top" align="center">42 (42.9%)</td>
<td valign="top" align="center">57 (58.2%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (6)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td valign="top" align="center">2 (33.3%)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Information level on COVID-19:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (77)</td>
<td valign="top" align="center">37 (48.1%)</td>
<td valign="top" align="center">32 (41.6%)</td>
<td valign="top" align="center">42 (54.5%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (27)</td>
<td valign="top" align="center">18 (66.7%)</td>
<td valign="top" align="center">12 (44.4%)</td>
<td valign="top" align="center">19 (70.4%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Increased concern for/fear of:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Tumor (53)</td>
<td valign="top" align="center">24 (45.3%)</td>
<td valign="top" align="center">19 (35.8%)</td>
<td valign="top" align="center">29 (54.7%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; COVID-19 (19)</td>
<td valign="top" align="center">10 (52.6%)</td>
<td valign="top" align="center">8 (42.1%)</td>
<td valign="top" align="center">9 (47.4%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Both equally (32)</td>
<td valign="top" align="center">21 (65.6%)</td>
<td valign="top" align="center">17 (53.1%)</td>
<td valign="top" align="center">23 (71.9%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Death or admission of family member/close friend:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Yes (36)</td>
<td valign="top" align="center">23 (63.9%)</td>
<td valign="top" align="center">18 (50%)</td>
<td valign="top" align="center">25 (69.4%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; No (68)</td>
<td valign="top" align="center">32 (47.1%)</td>
<td valign="top" align="center">26 (38.2%)</td>
<td valign="top" align="center">36 (52.9%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left" colspan="7"><bold>Increased prevention of COVID-19 infection as an oncology patient:</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (83)</td>
<td valign="top" align="center">50 (60.2%)</td>
<td valign="top" align="center">41 (49.4%)</td>
<td valign="top" align="center">54 (65.1%)</td>
<td valign="top" align="center"><bold>0.003</bold></td>
<td valign="top" align="center"><bold>0.004</bold></td>
<td valign="top" align="center"><bold>0.008</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (21)</td>
<td valign="top" align="center">5 (23.8%)</td>
<td valign="top" align="center">3 (14.3%)</td>
<td valign="top" align="center">7 (33.3%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Family/social support:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (98)</td>
<td valign="top" align="center">51 (52%)</td>
<td valign="top" align="center">41 (41.8%)</td>
<td valign="top" align="center">56 (57.1%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (6)</td>
<td valign="top" align="center">4 (66.7%)</td>
<td valign="top" align="center">3 (50%)</td>
<td valign="top" align="center">5 (83.3%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Worsened financial situation:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (25)</td>
<td valign="top" align="center">20 (80%)</td>
<td valign="top" align="center">14 (56%)</td>
<td valign="top" align="center">21 (84%)</td>
<td valign="top" align="center"><bold>0.002</bold></td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center"><bold>0.003</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (79)</td>
<td valign="top" align="center">35 (44.3%)</td>
<td valign="top" align="center">30 (38%)</td>
<td valign="top" align="center">40 (50.6%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Support provided by religion:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (42)</td>
<td valign="top" align="center">26 (61.9%)</td>
<td valign="top" align="center">22 (52.4%)</td>
<td valign="top" align="center">30 (71.4%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center"><bold>0.029</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (62)</td>
<td valign="top" align="center">29 (46.8%)</td>
<td valign="top" align="center">22 (35.5%)</td>
<td valign="top" align="center">31 (50%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Support provided by relaxing therapies:</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (10)</td>
<td valign="top" align="center">7 (70%)</td>
<td valign="top" align="center">8 (80%)</td>
<td valign="top" align="center">7 (70%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center"><bold>0.011</bold></td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (94)</td>
<td valign="top" align="center">48 (51.1%)</td>
<td valign="top" align="center">36 (38.3%)</td>
<td valign="top" align="center">54 (57.4%)</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left"><bold>Media exposure</bold></td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; A lot/considerable (&#x003E;2 times per day) (57)</td>
<td valign="top" align="center">31 (54.4%)</td>
<td valign="top" align="center">29 (50.9%)</td>
<td valign="top" align="center">36 (63.2%)</td>
<td valign="top" align="center">NS</td>
<td valign="top" align="center"><bold>0.05</bold></td>
<td valign="top" align="center">NS</td>
</tr>
<tr>
<td valign="top" align="left">&#x2003; &#x2022; Little/none (&#x2264;1 time per day) (47)</td>
<td valign="top" align="center">24 (51.1%)</td>
<td valign="top" align="center">15 (31.9%)</td>
<td valign="top" align="center">25 (53.2%)</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Descriptive and univariate analysis using Chi-square distribution. HADS-T, Hospital Anxiety and Depression Scale-Combined subscales [as &#x201C;case&#x201D; we considered cutoff of 10 (0&#x2013;9 vs. 10&#x2013;42)]. HADS-A, Hospital Anxiety and Depression Scale-Anxiety subscale [as &#x201C;case&#x201D; we considered cutoff of 7 (0&#x2013;6 vs. 7&#x2013;21)]. HADS-D, Hospital Anxiety and Depression Scale-Depression subscale [as &#x201C;case&#x201D; we considered cutoff of 4 (0&#x2013;3 vs. 4&#x2013;21)]. BZD, benzodiazepines; AD, anti-depressants. NS, no significant (<italic>p</italic> &#x003C; 0,05). The bold values represent statistical significance.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<sec id="S3.SS3.SSS1">
<title>Hospital Anxiety and Depression Scale&#x2014;Total/Emotional Distress</title>
<p>A 52.8% rate of emotional distress or global discomfort was observed.</p>
<p>Significantly higher rates of emotional distress were detected in patients who had previously consumed benzodiazepines or antidepressants (73.3% vs. 44.4%, <italic>p</italic> = 0.008), in those who maintained more prevention measures than recommended for COVID-19 infection because they considered themselves at higher risk (60.2% vs. 23.8%, <italic>p</italic> = 0.003) and in those whose economic situation had worsened during pandemic (80% vs. 44.3%, <italic>p</italic> = 0.002).</p>
<p>A non-significant trend was observed for the association between higher levels of emotional distress and being young (&#x003C;65 years), having a low educational level, being single, and being female. Tumor type, tumor stage, and type of oncologic treatment administered were not significantly related to higher levels of emotional distress. The use of relaxing therapies, religion, or a high exposure to mass media, were also not significantly related to higher levels of global emotional disturbance.</p>
</sec>
<sec id="S3.SS3.SSS2">
<title>Hospital Anxiety and Depression Scale&#x2014;Anxiety Subscale</title>
<p>A 42.3% rate of anxiety was found.</p>
<p>Significantly higher rate of anxiety was observed in patients who had previously taken anxiolytics or antidepressants (60% vs. 36.1%, <italic>p</italic> = 0.026), those who adopted more measures to prevent contagion than recommended for general population because they considered themselves at higher risk for COVID-19(49.4% vs. 14.3%, <italic>p</italic> = 0.004), those who resorted to the use of relaxing therapies (80% vs. 38.3%, <italic>p</italic> = 0.011) and those who presented a higher level of exposure to the media (&#x003E;2 times a day) (50.9% vs. 31.9%, <italic>p</italic> = 0.05).</p>
<p>Neither age, sex, educational level, or the presence of a confirmed psychiatric disease showed significant differences in the anxiety levels of the patients surveyed. Neither the characteristics of their oncologic disease (type of tumor, stage, type of oncologic treatment administered, or the rescheduling of treatment administration) significantly related to higher levels of anxiety. In patients with greater exposure to coronavirus at home, no statistically significant differences were observed in their anxiety levels (33.3% vs. 42.9%).</p>
</sec>
<sec id="S3.SS3.SSS3">
<title>Hospital Anxiety and Depression Scale&#x2014;Depression Subscale</title>
<p>A 58.6% rate of depression was detected.</p>
<p>Patients who showed significantly higher rates of depression were those with lower educational level (100% in patients with no education vs. 63% with elementary education and 45% with higher education, <italic>p</italic> = 0.032), those who admitted having previously consumed antidepressants or benzodiazepines (76.7% vs. 50%, <italic>p</italic> = 0.013), those who adopted more preventive measures than those recommended for the general population to avoid COVID-19 infection because they considered themselves at higher risk (65.1% vs. 33.3%, <italic>p</italic> = 0.008), those whose economic situation worsened due to the economic crisis caused by the pandemic (84% vs. 50.6%, <italic>p</italic> = 0.029) and those who relied on religion for support (71.4% vs. 50%, <italic>p</italic> = 0.029).</p>
<p>No significant differences were found in the levels of depression associated to patient age, sex, or marital status. Tumor stage, tumor type and oncologic treatment received were also not significantly related to the observed rates of depression.</p>
</sec>
</sec>
<sec id="S3.SS4">
<title><italic>Z</italic>-Score</title>
<p>Comparison of our results with another population of similar characteristics as historical control group was not significant (<italic>Z</italic> score = &#x2212;1.88; <italic>p</italic> = 0.060).</p>
</sec>
</sec>
<sec sec-type="discussion" id="S4">
<title>Discussion</title>
<p>This project is the first study that addresses the emotional impact that the COVID-19 pandemic had on cancer patients who were under active treatment in the oncohematologic DH of the Hospital Universitario de La Princesa, during the first and harder stage of the COVID-19 pandemic (March-June 2020) in Madrid.</p>
<p>We detected an emotional distress rate of 52.8%, anxiety of 42.3%, and depression of 58.6%. Previous evidence on psychopathological symptomatology in outpatients with cancer is scarce. Furthermore, the presence of important methodological differences between studies makes the results difficult to compare (<xref ref-type="bibr" rid="B6">Carroll et al., 1993</xref>; <xref ref-type="bibr" rid="B9">Grassi et al., 2004</xref>; <xref ref-type="bibr" rid="B2">Annunziata et al., 2020</xref>). However, <xref ref-type="bibr" rid="B25">Moncayo et al. (2008)</xref> described the prevalence of emotional distress, anxiety and depression in the oncology population under active treatment using a methodology similar to ours, and therefore we use it as historical control to obtain an adequate comparator due to the impossibility to guarantee a correct randomization of patients during the first wave of the pandemic. The Gil-Moncayo study analyzed 400 ambulatory cancer patients, using the HADS scale as a screening method, and used the same cut-off points as in our study. They described a rate of emotional distress of 42.5% (HADS-T), anxiety of 36.5% (HADS-A), and depression of 45% (HADS-D) (<xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>). Comparing these results with those at our center, we detect a clinical and relevant increase in the levels of emotional distress, anxiety, and depression in the outpatient oncology population in accordance with the non-pandemic situation and previously published literature (<xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>), but these results were not statistically significant (<italic>Z</italic> score; <italic>p</italic> = 0.06). Despite a greater tendency, we consider that the increase detected was moderate, considering the profound psychological impact that COVID-19 pandemic has had on society worldwide, causing a significant increase in the rates of emotional distress, anxiety, and depression in the general population according to various studies (<xref ref-type="bibr" rid="B28">Pierce et al., 2020</xref>; <xref ref-type="bibr" rid="B41">Xiong et al., 2020</xref>).</p>
<p>Apart from our study, little evidence has analyzed the real impact from this pandemic on cancer patients and it may take several years to understand the real psychopathological implications in this population. Furthermore, there are important methodological discrepancies (different type of target patients, different scales for measuring psychopathological symptomatology, different endpoints, etc.) with heterogeneous results that are difficult to compare (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Lou et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>) (<xref ref-type="table" rid="T5">Table 5</xref>). Most of these studies carried out on cancer patients have detected an increase in perceived levels of anxiety, depression, and global discomfort, highlighting the importance of the emotional sphere in their comprehensive treatment (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref>; <xref ref-type="bibr" rid="B20">Lou et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>; <xref ref-type="bibr" rid="B37">van de Poll-Franse et al., 2020</xref>; <xref ref-type="bibr" rid="B39">Wang et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Gultekin et al., 2021</xref>; <xref ref-type="bibr" rid="B24">Mogami et al., 2021</xref>). In our study it is striking how the greatest concern of oncology patients continues to be their tumor&#x2014;even more than the COVID-19 pandemic itself. Of 104 patients included in the study, 51% expressed greater fear of their tumor compared with coronavirus infection, which seems to indicate that the condition of being an oncology patient, exposed to end of life considerations, has a greater impact than contracting COVID-19 or the consequences of this disease. These data coincide with that published by <xref ref-type="bibr" rid="B10">Gultekin et al. (2021)</xref> in their study, where 58% of patients expressed greater fear of their tumor vs. COVID-19.</p>
<table-wrap position="float" id="T5">
<label>TABLE 5</label>
<caption><p>Main studies evaluating emotional impact and COVID-19 in oncology patients using validated scales to measure psychopathological symptomatology compared with our results.</p></caption>
<table cellspacing="5" cellpadding="5" frame="hsides" rules="groups">
<thead>
<tr>
<td valign="top" align="left"><bold>Author</bold></td>
<td valign="top" align="left"><bold>Country/region</bold></td>
<td valign="top" align="center"><bold>N</bold></td>
<td valign="top" align="center" colspan="3"><bold>Cancer patients&#x2019; characteristics</bold><hr/></td>
<td valign="top" align="left"><bold>Scale</bold></td>
<td valign="top" align="left"><bold>Results</bold></td>
</tr>
<tr>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
<td valign="top" align="left"><bold>Type of patient</bold></td>
<td valign="top" align="left"><bold>Treatment/follow-up</bold></td>
<td valign="top" align="left"><bold>Type of tumor</bold></td>
<td valign="top" align="justify"/>
<td valign="top" align="justify"/>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B10">Gultekin et al., 2021</xref></td>
<td valign="top" align="left">EU</td>
<td valign="top" align="center">1251</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Scheduled for surgery (without oncologic treatment yet).<break/>Under active treatment (46%).<break/>Under follow-up.</td>
<td valign="top" align="left">Gynecological cancers in any stage</td>
<td valign="top" align="left">Online survey<break/>HADS;<break/>HADS-T not reported.<break/>&#x2265;11; &#x201C;significant case&#x201D; of psychological morbidity (abnormal)<break/>8&#x2013;10; &#x201C;borderline case&#x201D;<break/>0&#x2013;7; &#x201C;normality&#x201D; (healthy individuals)</td>
<td valign="top" align="left">HADS-A (&#x2265; 11): 35.3%<break/>HADS-A (8&#x2013;10): 24.1%<break/>HADS-D (&#x2265; 11): 30.6%<break/>HADS-D (8&#x2013;10): 20.6%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B17">Letaief-Ksontini et al., 2020</xref></td>
<td valign="top" align="left">Turkey</td>
<td valign="top" align="center">91</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS-A: 29.7%<break/>HADS-D: 69.2%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B39">Wang et al., 2020</xref></td>
<td valign="top" align="left">China</td>
<td valign="top" align="center">6213</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">NR</td>
<td valign="top" align="left">All types of tumors</td>
<td valign="top" align="left">Online survey<break/>Anxiety; GAD-7<break/>Depression: PHQ-9</td>
<td valign="top" align="left">Anxiety rate: 17.7%<break/>Depression rate: 23.4%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B1">Agua et al., 2020</xref></td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="center">2293</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Active treatment (50%).<break/>Follow up.</td>
<td valign="top" align="left">All types of tumors</td>
<td valign="top" align="left">Online survey<break/>Kessler Psychological Distress Scale K-6</td>
<td valign="top" align="left">Psychological distress rate: 34.2%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B20">Lou et al., 2020</xref></td>
<td valign="top" align="left">United States</td>
<td valign="top" align="center">543</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Oncology (55.4%)&#x002A; and non-oncology patients (44.6%).<break/>&#x002A;Active treatment (25.6% of the oncologic patients included)</td>
<td valign="top" align="left">All types of tumors</td>
<td valign="top" align="left">Online survey<break/>Anxiety; GAD-7<break/>Depression: PHQ-8</td>
<td valign="top" align="left"><sup>1</sup> Anxiety rate: 26%<break/><sup>1</sup> Depression rate: 26.7%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B37">van de Poll-Franse et al., 2020</xref></td>
<td valign="top" align="left">Denmark</td>
<td valign="top" align="center">4094</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Oncology (4094)&#x002A; and non-oncology patients (977).<break/>&#x002A;Active treatment (27%)</td>
<td valign="top" align="left">All types of tumors</td>
<td valign="top" align="left">HADS</td>
<td valign="top" align="left">HADS-A: 11.8% (v. 11.2% in non-oncology patients)<break/>HADS-D: 9.9% (v. 12.2%)</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B24">Mogami et al., 2021</xref></td>
<td valign="top" align="left">Japan</td>
<td valign="top" align="center">34</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Active treatment (65%).<break/>Follow up.</td>
<td valign="top" align="left">Gynecological cancers in any stage<break/></td>
<td valign="top" align="left">HADS:<break/>HADS-A; &#x2265; 8<break/>HADS-D; &#x2265; 8</td>
<td valign="top" align="left">Anxiety rate: 33%<break/>Depression rate: 43%</td>
</tr>
<tr>
<td valign="top" align="left"><xref ref-type="bibr" rid="B35">Toquero Diez et al., 2020</xref> <italic>(Psico-Covid)</italic></td>
<td valign="top" align="left">Spain</td>
<td valign="top" align="center">104</td>
<td valign="top" align="left">Ambulatory patients</td>
<td valign="top" align="left">Active treatment (100%).</td>
<td valign="top" align="left">All types of tumors</td>
<td valign="top" align="left">Staff-supervised<break/>HADS:<break/>HADS-T; &#x2265;10<break/>HADS-A; &#x2265;7<break/>HADS-D; &#x2265;4</td>
<td valign="top" align="left">HADS-T: 52.8%<break/>HADS-A: 42.3%<break/>HADS-D: 58.6%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>EU, European Union; USA, United States of America; NR, Not reported; HADS, hospital anxiety and depression scale; HADS-T, hospital anxiety and depression scale&#x2014;total/emotional distress; HADS-A, hospital anxiety and depression scale&#x2014;anxiety subscale; HADS-D, hospital anxiety and depression scale&#x2014;depression subscale; O-HDH, onco-hematologic day hospital; GAD-7, 7-item generalized anxiety disorder; PHQ-8/PHQ-9, 8-9 item patient health questionnaire; GHQ-12, 12-item general health questionnaire. <sup>1</sup>Results only for oncology patients in active treatment.</italic></p></fn>
</table-wrap-foot>
</table-wrap>
<p>The observed rates of emotional distress, anxiety, and depression, which are close to pre-pandemic levels, may be related to several factors: (a) the time at which the study was conducted&#x2014;late May and early June 2020, when the pandemic had already entered a de-escalation phase and care pressure had decreased significantly in Madrid so that the perception of fear had been reduced in the population; (b) the need for patients to visit a hospital center regularly to receive treatment, allowing them to have closer contact with health personnel (doctors, nurses, and team of psychologist of AECC), and to resolve their questions and concerns about the COVID-19 pandemic with medical staff directly. Studies in non-oncologic populations without regular contact with hospital staff have shown higher levels of psychopathological symptomatology (<xref ref-type="bibr" rid="B26">Parrado-Gonz&#x00E1;lez and Le&#x00F3;n-Jariego, 2020</xref>; <xref ref-type="bibr" rid="B34">Talevi et al., 2020</xref>).</p>
<p>The factors significantly related to higher rates of emotional distress, anxiety, and depression were previous consumption of psychotropic drugs and the adoption of greater prevention measures than those recommended for general population to avoid the infection because they considered at higher risk of developing more severe complications by the COVID-19. A worsening of patient&#x2019;s financial situation during the pandemic was associated with greater distress and depression, the use of alternative therapies and Religion with greater anxiety and depression, lower educational level with greater depression, and frequent exposure to the media with a higher level of anxiety. This data is consistent with that published in other studies, such as that of the Spanish Association Against Cancer (AECC) (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>) or <xref ref-type="bibr" rid="B39">Wang et al. (2020)</xref>, where a worsening financial situation, frequent exposure to the media, and greater concern about COVID-19 infection were shown to be risk factors associated with higher rates of psychopathological symptomatology. This seems to demonstrate that, although the media is useful to increase the level of information in society, at other times it can transmit contradictory or excessive information (<xref ref-type="bibr" rid="B3">Bendau et al., 2020</xref>; <xref ref-type="bibr" rid="B14">Joshua Morganstein, 2020</xref>). These results are also consistent with those published by the AECC study, where up to 50% of patients who were unable to disconnect from the media presented high levels of emotional disturbance (<xref ref-type="bibr" rid="B1">Agua et al., 2020</xref>).</p>
<p>Although not significantly, younger patients (those under the age of 65) presented higher levels of psychological symptomatology, something which could be explained by the fact that younger patients are more shocked by the COVID-19 disease than older, according to what has been previously published (<xref ref-type="bibr" rid="B19">Linden et al., 2012</xref>; <xref ref-type="bibr" rid="B15">Kim et al., 2013</xref>). Similarly, being female, single, having a previous diagnosis of psychiatric illness, lack of information about COVID-19, and lack of social or family support during the pandemic were also factors related to higher rates of emotional distress, anxiety, and depression, although not significantly&#x2014;results similar to those published by <xref ref-type="bibr" rid="B39">Wang et al. (2020)</xref> and <xref ref-type="bibr" rid="B10">Gultekin et al. (2021)</xref>.</p>
<p>No significant differences were found in the rates of psychopathological symptomatology according to tumor type, oncologic stage, or treatment administered in either the subscales (anxiety or depression) or in the global emotional distress scale, suggesting that the emotional impact of the COVID-19 pandemic was similar for all cancer patients, regardless of the stage of their disease. This finding is similar to the results published by <xref ref-type="bibr" rid="B10">Gultekin et al. (2021)</xref>. The rescheduling of treatments or the delay of any of the treatment cycles did not have a negative impact on the emotional sphere, data which agrees with that published by <xref ref-type="bibr" rid="B17">Letaief-Ksontini et al. (2020)</xref>. However, other studies have shown varying results, as in the study by <xref ref-type="bibr" rid="B33">Swainston et al. (2020)</xref>, carried out on a English population of women with breast cancer (any stage and any type of treatment), which showed that those women who experienced disruptions to their oncology services had higher levels of general anxiety, depression, and COVID-19 related emotional vulnerability (<xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>).</p>
<p>Among the limitations of this study, we should take into consideration some weak points which could be considered in future lines of research. In terms of methodology, the main limitations are the unicenter design and the lack of randomization to obtain an adequate control group to compare our results. Because the Pandemic was a worldwide event experienced by the entire population at the same time, it was not possible to ensure the randomization of patients. The evaluation method used also presents some considerations that are important to point out. Although the questionnaire applied (HADS) is a simple and intuitive tool that has shown adequate psychometric properties to evaluate anxiety, depression and emotional distress symptomatology in the general population (<xref ref-type="bibr" rid="B13">Herrero et al., 2003</xref>), also in oncologic patients (<xref ref-type="bibr" rid="B31">Snaith, 2003</xref>; <xref ref-type="bibr" rid="B9">Grassi et al., 2004</xref>; <xref ref-type="bibr" rid="B25">Moncayo et al., 2008</xref>; <xref ref-type="bibr" rid="B22">Mitchell et al., 2010</xref>; <xref ref-type="bibr" rid="B7">Chapman et al., 2020</xref>; <xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>) it is only self-report questionnaire and did not evaluate other psychological and personality aspects that might play a role in psychological distress of cancer patients. It would therefore be advisable to include other measures related to this distinction in future research on cancer patients, giving special importance to face-to-face interviews with the patient as well as other negative consequences of the pandemic on oncology patients, such as the job insecurity created by the COVID-19 outbreak in oncology patients by not being able to attend their usual work because of their increased vulnerability, which could increase the risk of experiencing affective disorders (anxiety and depression) and worse cognitive function in cancer patients (<xref ref-type="bibr" rid="B7">Chapman et al., 2020</xref>). Finally, levels of emotional distress, anxiety, and depression may have varied throughout the pandemic, whereas our study was conducted only during the first wave, it might be interesting to replicate this study in the current pandemic situation.</p>
<p>The results of this study show the importance of increasing the accessibility of mental health services to cancer patients. It is urgent to focus the efforts and economic resources of future governments on guaranteeing adequate care for the psychological consequences of the COVID-19 pandemic, especially in the most vulnerable population, such as oncology patients (<xref ref-type="bibr" rid="B7">Chapman et al., 2020</xref>). Future research should continue to monitor the long-term effects of COVID-19 on the psychological health of cancer patients (<xref ref-type="bibr" rid="B33">Swainston et al., 2020</xref>).</p>
</sec>
<sec sec-type="conclusion" id="S5">
<title>Conclusion</title>
<p>The COVID-19 pandemic has been a game changer in healthcare worldwide. Oncology patients are an at-risk population that needs special attention and care, and further studies are needed to help us improve and optimize the treatment of this infection in oncology patients. In our study, high rates of emotional distress have been detected during the first wave of the COVID-19 pandemic among cancer patients in active treatment, this was higher and clinically relevant than observed in a comparable population (42.5%), although not significant. Although cancer continues to be the main fear of oncology patients, it is also essential to know the impact of COVID-19 pandemic on the emotional sphere in order to ensure a holistic approach for these patients, and to increase efforts to make mental health services more accessible to cancer patients.</p>
</sec>
<sec sec-type="data-availability" id="S6">
<title>Data Availability Statement</title>
<p>The datasets presented in this article are not readily available because due to privacy or ethical restrictions. Requests to access the datasets should be directed to PT, kiku.toquero@gmail.com.</p>
</sec>
<sec id="S7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by Drug Research Ethical Committee (CEIm) of the Hospital Universitario de La Princesa (registration number &#x201C;4122,&#x201D; approved 22-05-20, CEIm 12/20). The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="S8">
<title>Author Contributions</title>
<p>PT, CB, ML, BH, RC, and NR-L: conception and design. PT, CB, ML, BH, EBV, AGG, EM, OD, AB, JS-T, PC, RM, RC, and NR-L: provision of study material or patients. PT, ML, BH, EBV, AGG, EM, OD, AB, JS-T, PC, RM, RC, and NR-L: collection and/or assembly of data. PT, CB, ML, RC, and NR-L: data analysis and interpretation and manuscript writing. PT, CB, ML, BH, EBV, AGG, EM, OD, AB, JS-T, PC, RM, RC, and NR-L: final approval of manuscript. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="COI-statement" id="conf1">
<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 sec-type="disclaimer" id="S9">
<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>
</body>
<back>
<sec sec-type="funding-information" id="S10">
<title>Funding</title>
<p>NR-L was supported by a grant from the <italic>Instituto de Salud Carlos III</italic> (JR17/00007).</p>
</sec>
<ack>
<p>We would like to thank the team of volunteers from the Spanish Association Against Cancer (<italic>Asociaci&#x00F3;n Espa&#x00F1;ola Contra el C&#x00E1;ncer</italic>, or &#x201C;AECC&#x201D;) of the University Hospital La Princesa and also to Agnes Gyorfi for their support in carrying out this project. Most of all we would like to extend our sincerest thank to the patients who participated in this study&#x2014;you made it possible for this research to be carried out.</p>
</ack>
<sec sec-type="supplementary-material" id="S11">
<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/fpsyg.2021.755965/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpsyg.2021.755965/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Data_Sheet_1.docx" id="DS1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
<ref-list>
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