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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title-group>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
</journal-title-group>
<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.2026.1728734</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Determinants of anxiety and depression and their association with coping strategies in health professionals in war and conflict-afflicted areas</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Nabulsi</surname><given-names>Maisa</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name><surname>Ahmead</surname><given-names>Muna</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author">
<name><surname>El Sharif</surname><given-names>Nuha</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<aff id="aff1"><label>1</label><institution>Faculty of Pharmacy, Al-Quds University</institution>, <city>Jerusalem</city>,&#xa0;<country country="ps">Palestine</country></aff>
<aff id="aff2"><label>2</label><institution>Faculty of Public Health, Al-Quds University</institution>, <city>Jerusalem</city>,&#xa0;<country country="ps">Palestine</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Muna Ahmead, <email xlink:href="mailto:munaahmead@yahoo.com">munaahmead@yahoo.com</email></corresp>
<fn fn-type="other" id="fn003">
<label>&#x2020;</label>
<p>These authors share first authorship</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-25">
<day>25</day>
<month>02</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1728734</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>06</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>26</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Nabulsi, Ahmead and El Sharif.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Nabulsi, Ahmead and El Sharif</copyright-holder>
<license>
<ali:license_ref start_date="2026-02-25">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>little is known about the impact of conflict or war on Palestinian mental health professionals, as well as their strategies for dealing with these problems. Given the continuous war in Palestine, the purpose of this study was to investigate the prevalence of depression, anxiety, and coping strategies among healthcare professionals.</p>
</sec>
<sec>
<title>Methods</title>
<p>The study utilized a cross-sectional research design. Self-reported questionnaires included the Hospital Anxiety and Depression Scale (HADS) and the Brief COPE scale was used. The relationships between the study&#x2019;s variables were examined using descriptive statistics (frequencies and percentages), Pearson correlation, and multivariate regression.</p>
</sec>
<sec>
<title>Results</title>
<p>A total of 713 health professionals were recruited. Anxiety and depression had a prevalence of 51.5% and 45.3%, respectively. The multivariate analysis revealed that those who utilized self-distraction, active coping, substance use, emotional support, and acceptance as coping strategies were less likely to suffer depression. Also, participants who employed denial, venting, and planning as coping strategies were more likely to develop depression. In addition, males were less likely to experience anxiety than females, and those who utilized emotional support and acceptance as coping mechanisms were less likely to feel anxious. However, participants who utilized denial, behavioral disengagement, venting, and planning were more likely to experience anxiety.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The findings revealed a high prevalence of depression and anxiety among health professionals during wartime and political violence. As a result, health professionals need assistance in enhancing their mental well-being through psychological support, psychotherapy, and comprehensive training in stressor management.</p>
</sec>
</abstract>
<kwd-group>
<kwd>anxiety</kwd>
<kwd>coping strategies</kwd>
<kwd>depression</kwd>
<kwd>health professionals</kwd>
<kwd>health workers</kwd>
<kwd>Palestine</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was not received for this work and/or its publication.</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="4"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="10"/>
<word-count count="5110"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Healthcare workers face unique challenges, including inadequate funding, high patient volumes, and trauma from conflict, which can lead to emotional distress and burnout (<xref ref-type="bibr" rid="B1">1</xref>). Additionally, healthcare workers around the world confront numerous work-related challenges that can have a significant impact on their mental health. These include heavy workloads, long shifts, fast-paced environments, a lack of proper safety measures, the continuous nature of patient care, ethical dilemmas, worries about job security, violence at work, and a lack of social support (<xref ref-type="bibr" rid="B2">2</xref>). Consequently, healthcare providers face conflicts in their work life due to the inherent tension between their duty of care and the demanding nature of healthcare environments (<xref ref-type="bibr" rid="B3">3</xref>). Burnout, depression, anxiety, sleeplessness, and other mental health problems might result from this psychological distress (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>). Anxiety and depression are rather common, according to research (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Anxiety affects 33&#x2013;50% of healthcare professionals (<xref ref-type="bibr" rid="B6">6</xref>), and depression affects 26&#x2013;60% (<xref ref-type="bibr" rid="B8">8</xref>, <xref ref-type="bibr" rid="B9">9</xref>). Mental disorders profoundly affect both individuals and healthcare organizations. Previous research indicates that chronic illnesses, such as cardiovascular disease, along with physical symptoms like lethargy, dizziness, vomiting, nausea, disturbed sleep, and muscular spasms, may be caused by mental disorders (<xref ref-type="bibr" rid="B10">10</xref>). Also, healthcare workers who suffer from mental illnesses are more likely to have negative attitudes toward their jobs, poor judgment, and low performance (<xref ref-type="bibr" rid="B11">11</xref>), in addition to being more likely to quit, be absent, or have high turnover rates.</p>
<p>An increase in stress levels may have an effect on healthcare workers&#x2019; capacity to cope (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>). According to Folkman et&#xa0;al., coping involves how people think and behave in response to stressful situations (<xref ref-type="bibr" rid="B14">14</xref>). Folkman and Lazarus identified two main types of coping strategies: problem-focused coping, which aims to change the current situation or find a solution to the problem, and emotion-focused coping, which deals with the emotional distress that comes with stressful situations (<xref ref-type="bibr" rid="B15">15</xref>). Two types of coping mechanisms are linked to improved mental health outcomes and are regarded as adaptive (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B18">18</xref>). Avoidant coping strategies&#x2014;including drug abuse, self-distraction, behavioral disengagement, and denial&#x2014;are considered maladaptive or dysfunctional (<xref ref-type="bibr" rid="B16">16</xref>). Since 1967, in Palestine, the West Bank and Gaza Strip have been under Israeli occupation. The Palestinian Ministry of Health (MOH), United Nations Relief and Works Agency for Palestine Refugees in the Near East (UNRWA), non-governmental organizations (NGOs), and the private sector oversee primary, secondary, and tertiary healthcare in Palestine (<xref ref-type="bibr" rid="B19">19</xref>). According to the Palestinian Ministry of Health (2017), there are 81 hospitals under their authority. The West Bank (including East Jerusalem) hosts 51 of these hospitals, while Gaza hosts 30 (<xref ref-type="bibr" rid="B20">20</xref>). After October 7, 2023, the health status in Palestine was significantly impacted, and the healthcare system in Palestine continues to confront serious challenges as a result of conflict, political instability, and underfunding (<xref ref-type="bibr" rid="B12">12</xref>). Depression and post-traumatic stress disorder are common among healthcare workers since they are the first to see and treat serious injuries caused by military operations (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, healthcare personnel encounter unique challenges such as working in an unsafe environment, insufficient resources, an excessive number of patients, and conflict-related trauma, which can result in burnout, anxiety, and depression (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B12">12</xref>). Assessing the magnitude and underlying causes of depressive and anxiety symptoms in healthcare workers, along with their coping strategies, may provide a basis for formulating and executing intervention strategies for policymakers and healthcare organizations to mitigate, manage, and alleviate the impact of these symptoms. However, there has been little study on the mental health of healthcare personnel during conflict, specifically the association between depression, anxiety, and coping strategies. Therefore, the aim of this study was to assess the prevalence of depression and anxiety symptoms and to examine their associations with sociodemographic characteristics and coping strategies among healthcare workers. Additionally, it sought to determine the factors that affect the prevalence of depression and anxiety symptoms among these healthcare professionals.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Participants and procedure</title>
<p>The research was a descriptive cross-sectional survey conducted from January 15, 2024, to February 1, 2024, following two months after the beginning of the Gaza War. We previously published the initial part of the study, which examined the association between burnout and coping strategies in healthcare professionals (<xref ref-type="bibr" rid="B5">5</xref>). The current study is a continuation of prior research that focuses on coping strategies, anxiety, and depression among the same sample of health professionals, as described elsewhere (<xref ref-type="bibr" rid="B5">5</xref>). It targeted all Palestinian health professionals presently employed in Palestine during the continuing Gaza conflict and political conflict, including doctors, nurses, pharmacists, and allied professions (e.g., anesthetic technicians, radiologic technicians, and medical laboratory personnel). Participants were selected by convenience and snowball sampling techniques. Data were collected using an anonymous online self-administered questionnaire. In light of Israeli military restrictions on mobility and closures in the West Bank and Jerusalem, participants were asked to complete an online questionnaire created with Google Forms. Participants received the study link via various channels, including social media, WhatsApp, emails, and organizational websites. Additionally, participants were requested to disseminate the link among mental health professionals nationwide, resulting in 713 responses from Jerusalem and the West Bank.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Data collection instruments</title>
<p>The study used a self-reported questionnaire, which had the following three sections:</p>
<p>Section one included a socio-demographic sheet designed to collect information about the participants&#x2019; age, gender, place of residence, marital status, occupation, workplace, education level, monthly income, and years of experience. It also specified the governorates: the northern governorate included Nablus, Jenin, Qalqilia, Tulkarim, Tubas, and Salfeet; the middle governorate included Ramallah, East Jerusalem, and Jericho; and the southern governorate included Hebron and Bethlehem.</p>
<p>The second section had the Hospital Anxiety and Depression Scale (HADS), which is a 14-item scale created to assess the presence of anxiety and depression. The HADS creates two scales to distinguish the two states: HADS&#x2013;A for anxiety (seven questions) and HADS&#x2013;D for depression (seven questions). On a 4-point severity scale, items are rated, and each question is scored between 0 (no impairment) and 3 (severe impairment), with three denoting the highest anxiety or depression level. A case is considered conclusive if the score on either scale is greater than or equal to 11.&#xa0;A score of 0&#x2013;7 indicates normal, 8&#x2013;10 indicates mild anxiety/depression, 11&#x2013;14 indicates moderate anxiety/depression, and a score of 15&#x2013;21 is equal to severe anxiety/depression. The internal consistency coefficient (Cronbach&#x2019;s &#x3b1;) was 0.831.</p>
<p>The third section had the Brief COPE scale, which consisted of 28 questions. Both cognitive and behavioral strategies of coping are included, and for each category, respondents indicate whether they have used a coping response on a four-point Likert scale (1 = I have not been doing this at all; 2 = I have been doing this a little bit; 3 = I have been doing this an average amount; 4 = I have been doing this a lot), and the higher score represents greater coping strategies used by the respondents. The Brief COPE scale assesses the following coping mechanisms: self-distraction, active coping, denial, substance use, emotional support, instrumental support, behavioral disengagement, venting, positive reframing, planning, humor, acceptance, religion, and self-blame. The internal consistency coefficient (Cronbach&#x2019;s &#x3b1;) was.850.</p>
<p>The survey was translated into Arabic and back into English. The Arabic terminology was piloted by 20 health professionals and reviewed by five experts to verify accuracy and understandability.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analysis</title>
<p>The data were analyzed using SPSS version 25 (IBM Corp., Chicago, Illinois, USA). A descriptive analysis was performed using the frequencies and percentages for the categorical variables. The chi-squared test was used to analyze the relationships between depression, anxiety, the sociodemographic variables, and coping strategies. Statistically significant variables were further analyzed with multivariate logistic regression. A p-value &lt; 0.05 was considered sufficient for statistical significance. Adjusted odds ratio and 95% confidence interval were also reported.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Ethical approval and consent to participate</title>
<p>The Declaration of Helsinki was followed in the implementation of all study methods. Al Quds University Research Ethical Committee approval was obtained (Ref No: 347/REC/2023). There was anonymity in this online survey. At the outset of the survey, written information was given regarding its goal and the intended use of the data. By completing the questionnaire, the participants gave their informed consent to take part in the research.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Description of the sample</title>
<p>The sample included 713 healthcare workers, of which 60.3% were female. 53.2% were between the ages of 18 and 30, 43% were single, and 47.3% earned above $1150 monthly. Nursing made up 57.2% of the participants, pharmacists 8.4%, and physicians 15.6%. Furthermore, 70% possessed a bachelor&#x2019;s degree, and 46.1% had been employed in their current job for over 6 years as seen in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Sociodemographic characteristics, occupation, and work conditions of study participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" colspan="2" align="left">Characteristics</th>
<th valign="top" align="center">Frequency (N)</th>
<th valign="top" align="center">Percent (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">283</td>
<td valign="top" align="center">39.7%</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">430</td>
<td valign="top" align="center">60.3%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Age (years)</td>
<td valign="top" align="left">18-30</td>
<td valign="top" align="center">379</td>
<td valign="top" align="center">53.2%</td>
</tr>
<tr>
<td valign="top" align="left">31- 40</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">26.8%</td>
</tr>
<tr>
<td valign="top" align="left">41+</td>
<td valign="top" align="center">143</td>
<td valign="top" align="center">20.1%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Living place</td>
<td valign="top" align="left">City</td>
<td valign="top" align="center">341</td>
<td valign="top" align="center">47.8%</td>
</tr>
<tr>
<td valign="top" align="left">Village</td>
<td valign="top" align="center">331</td>
<td valign="top" align="center">46.4%</td>
</tr>
<tr>
<td valign="top" align="left">Refugee camp</td>
<td valign="top" align="center">41</td>
<td valign="top" align="center">5.8%</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Marital Status</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">308</td>
<td valign="top" align="center">43.2%</td>
</tr>
<tr>
<td valign="top" align="left">Not single*</td>
<td valign="top" align="center">405</td>
<td valign="top" align="center">56.8%</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Monthly Income (US$)</td>
<td valign="top" align="left">No income</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">7.0%</td>
</tr>
<tr>
<td valign="top" align="left">&lt; 570</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">7.3%</td>
</tr>
<tr>
<td valign="top" align="left">570-1150</td>
<td valign="top" align="center">275</td>
<td valign="top" align="center">38.6%</td>
</tr>
<tr>
<td valign="top" align="left">1151 -1700</td>
<td valign="top" align="center">209</td>
<td valign="top" align="center">29.3%</td>
</tr>
<tr>
<td valign="top" align="left">1701+</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">17.8%</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Occupation</td>
<td valign="top" align="left">Allied profession</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">18.8%</td>
</tr>
<tr>
<td valign="top" align="left">Physicians</td>
<td valign="top" align="center">111</td>
<td valign="top" align="center">15.6%</td>
</tr>
<tr>
<td valign="top" align="left">Pharmacists</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">8.4%</td>
</tr>
<tr>
<td valign="top" align="left">Nurses</td>
<td valign="top" align="center">408</td>
<td valign="top" align="center">57.2%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Work Place</td>
<td valign="top" align="left">Governmental</td>
<td valign="top" align="center">461</td>
<td valign="top" align="center">64.7%</td>
</tr>
<tr>
<td valign="top" align="left">Private</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">24.1%</td>
</tr>
<tr>
<td valign="top" align="left">Others**</td>
<td valign="top" align="center">80</td>
<td valign="top" align="center">11.2%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Governorate</td>
<td valign="top" align="left">North</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">32.3%</td>
</tr>
<tr>
<td valign="top" align="left">top</td>
<td valign="top" align="center">221</td>
<td valign="top" align="center">31.0%</td>
</tr>
<tr>
<td valign="top" align="left">South</td>
<td valign="top" align="center">262</td>
<td valign="top" align="center">36.7%</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Education level</td>
<td valign="top" align="left">Bachelor</td>
<td valign="top" align="center">504</td>
<td valign="top" align="center">70.7%</td>
</tr>
<tr>
<td valign="top" align="left">Higher studies (Master and Ph.D degrees)</td>
<td valign="top" align="center">209</td>
<td valign="top" align="center">29.3 %</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Years of experience</td>
<td valign="top" align="left">&lt; 1</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">20.6%</td>
</tr>
<tr>
<td valign="top" align="left">1-3</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">16.8%</td>
</tr>
<tr>
<td valign="top" align="left">4-6</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">16.4%</td>
</tr>
<tr>
<td valign="top" align="left">7-10</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">12.6%</td>
</tr>
<tr>
<td valign="top" align="left">11-15</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">15.7%</td>
</tr>
<tr>
<td valign="top" align="left">16+</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">17.8%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Married/widowed/divorced **Non-governmental organizations, civil institutes, and international agencies.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Prevalence of depression and anxiety</title>
<p>The results showed that 45.3% of the sample met the clinical threshold for depression (a score of 11 or above), indicating an increased likelihood of obtaining a clinical diagnosis. Furthermore, 51.5% of the sample reached the clinical threshold for anxiety, as seen in <xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The prevalence of depression and anxiety symptoms.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-17-1728734-g001.tif">
<alt-text content-type="machine-generated">Bar chart comparing percentages of anxiety and depression for two HADS score groups: under eleven (blue) and eleven or above (gray). Anxiety group reports 48.50 percent for under eleven and 51.50 percent for eleven or above. Depression group reports 54.60 percent for under eleven and 45.30 percent for eleven or above.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Association between depression, anxiety, and sociodemographic variables</title>
<p>Pearson&#x2019;s chi-square was performed to assess the associations between depression symptoms and respondent characteristics. The results, as seen in <xref ref-type="table" rid="T2"><bold>Table&#xa0;2</bold></xref>, demonstrated significant relationships between depression and age (p&lt;.033) and governorate (p&lt;.015). Significant correlations were also found between anxiety and gender (p &lt;.007) and monthly income (p &lt;.024).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>The association between depression, anxiety and sociodemographic variables of study sample.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="bottom" rowspan="3" colspan="2" align="left">Characteristics<break/></th>
<th valign="top" colspan="5" align="center">Depression</th>
<th valign="top" colspan="5" align="center">Anxiety</th>
</tr>
<tr>
<th valign="top" colspan="2" align="center">&lt;11</th>
<th valign="top" colspan="2" align="center">&#x2265;11</th>
<th valign="top" rowspan="2" align="center">P value</th>
<th valign="top" colspan="2" align="center">&lt; 11</th>
<th valign="top" colspan="2" align="center">&#x2265;11</th>
<th valign="top" rowspan="2" align="center">P value</th>
</tr>
<tr>
<th valign="top" align="center">F</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">%</th>
<th valign="top" align="center">F</th>
<th valign="top" align="center">%</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" rowspan="2" align="left">Gender</td>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">38.6%</td>
<td valign="top" align="center">133</td>
<td valign="top" align="center">41.2%</td>
<td valign="top" rowspan="2" align="center">.478</td>
<td valign="top" align="center">155</td>
<td valign="top" align="center">44.8%</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">34.9%</td>
<td valign="top" rowspan="2" align="center">.007*</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">239</td>
<td valign="top" align="center">61.4%</td>
<td valign="top" align="center">190</td>
<td valign="top" align="center">58.8%</td>
<td valign="top" align="center">191</td>
<td valign="top" align="center">55.2%</td>
<td valign="top" align="center">239</td>
<td valign="top" align="center">65.1%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Age</td>
<td valign="top" align="left">18 - 30 years</td>
<td valign="top" align="center">219</td>
<td valign="top" align="center">56.3%</td>
<td valign="top" align="center">160</td>
<td valign="top" align="center">49.5%</td>
<td valign="top" rowspan="3" align="center">.033*</td>
<td valign="top" align="center">176</td>
<td valign="top" align="center">50.9%</td>
<td valign="top" align="center">203</td>
<td valign="top" align="center">55.3%</td>
<td valign="top" rowspan="3" align="center">.319</td>
</tr>
<tr>
<td valign="top" align="left">&gt;30- 40 years</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">22.9%</td>
<td valign="top" align="center">102</td>
<td valign="top" align="center">31.6%</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">26.9%</td>
<td valign="top" align="center">98</td>
<td valign="top" align="center">26.7%</td>
</tr>
<tr>
<td valign="top" align="left">&gt;40- years</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">20.8%</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">18.9%</td>
<td valign="top" align="center">77</td>
<td valign="top" align="center">22.3%</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">18.0%</td>
</tr>
<tr>
<td valign="top" rowspan="4" align="left">Occupation</td>
<td valign="top" align="left">Allied profession</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">17.7%</td>
<td valign="top" align="center">65</td>
<td valign="top" align="center">20.1%</td>
<td valign="top" rowspan="4" align="center">.683</td>
<td valign="top" align="center">60</td>
<td valign="top" align="center">17.3%</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">20.2%</td>
<td valign="top" rowspan="4" align="center">.503</td>
</tr>
<tr>
<td valign="top" align="left">Medicine</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">15.7%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">15.5%</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">17.1%</td>
<td valign="top" align="center">52</td>
<td valign="top" align="center">14.2%</td>
</tr>
<tr>
<td valign="top" align="left">Pharmacist</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">7.7%</td>
<td valign="top" align="center">30</td>
<td valign="top" align="center">9.3%</td>
<td valign="top" align="center">32</td>
<td valign="top" align="center">9.2%</td>
<td valign="top" align="center">28</td>
<td valign="top" align="center">7.6%</td>
</tr>
<tr>
<td valign="top" align="left">Nursing</td>
<td valign="top" align="center">229</td>
<td valign="top" align="center">58.9%</td>
<td valign="top" align="center">178</td>
<td valign="top" align="center">55.1%</td>
<td valign="top" align="center">195</td>
<td valign="top" align="center">56.4%</td>
<td valign="top" align="center">213</td>
<td valign="top" align="center">58.0%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Work place</td>
<td valign="top" align="left">Government</td>
<td valign="top" align="center">261</td>
<td valign="top" align="center">67.1%</td>
<td valign="top" align="center">199</td>
<td valign="top" align="center">61.6%</td>
<td valign="top" rowspan="3" align="center">.309</td>
<td valign="top" align="center">230</td>
<td valign="top" align="center">66.5%</td>
<td valign="top" align="center">231</td>
<td valign="top" align="center">62.9%</td>
<td valign="top" rowspan="3" align="center">.544</td>
</tr>
<tr>
<td valign="top" align="left">Private</td>
<td valign="top" align="center">88</td>
<td valign="top" align="center">22.6%</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">26.0%</td>
<td valign="top" align="center">81</td>
<td valign="top" align="center">23.4%</td>
<td valign="top" align="center">91</td>
<td valign="top" align="center">24.8%</td>
</tr>
<tr>
<td valign="top" align="left">Others</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">10.3%</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">12.4%</td>
<td valign="top" align="center">35</td>
<td valign="top" align="center">10.1%</td>
<td valign="top" align="center">45</td>
<td valign="top" align="center">12.3%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Place of residency</td>
<td valign="top" align="left">City</td>
<td valign="top" align="center">192</td>
<td valign="top" align="center">49.4%</td>
<td valign="top" align="center">149</td>
<td valign="top" align="center">46.1%</td>
<td valign="top" rowspan="3" align="center">.389</td>
<td valign="top" align="center">179</td>
<td valign="top" align="center">51.7%</td>
<td valign="top" align="center">162</td>
<td valign="top" align="center">44.1%</td>
<td valign="top" rowspan="3" align="center">.111</td>
</tr>
<tr>
<td valign="top" align="left">Village</td>
<td valign="top" align="center">172</td>
<td valign="top" align="center">44.2%</td>
<td valign="top" align="center">158</td>
<td valign="top" align="center">48.9%</td>
<td valign="top" align="center">147</td>
<td valign="top" align="center">42.5%</td>
<td valign="top" align="center">184</td>
<td valign="top" align="center">50.1%</td>
</tr>
<tr>
<td valign="top" align="left">Refugee camp</td>
<td valign="top" align="center">25</td>
<td valign="top" align="center">6.4%</td>
<td valign="top" align="center">16</td>
<td valign="top" align="center">5.0%</td>
<td valign="top" align="center">20</td>
<td valign="top" align="center">5.8%</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">5.7%</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Marital status</td>
<td valign="top" align="left">Single</td>
<td valign="top" align="center">170</td>
<td valign="top" align="center">43.7%</td>
<td valign="top" align="center">138</td>
<td valign="top" align="center">42.7%</td>
<td valign="top" rowspan="2" align="center">.793</td>
<td valign="top" align="center">140</td>
<td valign="top" align="center">40.5%</td>
<td valign="top" align="center">168</td>
<td valign="top" align="center">45.8%</td>
<td valign="top" rowspan="2" align="center">.152</td>
</tr>
<tr>
<td valign="top" align="left">Not single</td>
<td valign="top" align="center">219</td>
<td valign="top" align="center">56.3%</td>
<td valign="top" align="center">185</td>
<td valign="top" align="center">57.3%</td>
<td valign="top" align="center">206</td>
<td valign="top" align="center">59.5%</td>
<td valign="top" align="center">199</td>
<td valign="top" align="center">54.2%</td>
</tr>
<tr>
<td valign="top" rowspan="5" align="left">Monthly Income (US $)</td>
<td valign="top" align="left">No income</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">7.5%</td>
<td valign="top" align="center">21</td>
<td valign="top" align="center">6.5%</td>
<td valign="top" rowspan="5" align="center">.511</td>
<td valign="top" align="center">19</td>
<td valign="top" align="center">5.5%</td>
<td valign="top" align="center">31</td>
<td valign="top" align="center">8.4%</td>
<td valign="top" rowspan="5" align="center">.024*</td>
</tr>
<tr>
<td valign="top" align="left">&lt; 570</td>
<td valign="top" align="center">23</td>
<td valign="top" align="center">5.9%</td>
<td valign="top" align="center">29</td>
<td valign="top" align="center">9.0%</td>
<td valign="top" align="center">18</td>
<td valign="top" align="center">5.2%</td>
<td valign="top" align="center">34</td>
<td valign="top" align="center">9.3%</td>
</tr>
<tr>
<td valign="top" align="left">570-1150</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">38.0%</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">39.3%</td>
<td valign="top" align="center">127</td>
<td valign="top" align="center">36.7%</td>
<td valign="top" align="center">148</td>
<td valign="top" align="center">40.3%</td>
</tr>
<tr>
<td valign="top" align="left">1151 -1700</td>
<td valign="top" align="center">115</td>
<td valign="top" align="center">29.6%</td>
<td valign="top" align="center">93</td>
<td valign="top" align="center">28.8%</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">32.4%</td>
<td valign="top" align="center">97</td>
<td valign="top" align="center">26.4%</td>
</tr>
<tr>
<td valign="top" align="left">1701+</td>
<td valign="top" align="center">74</td>
<td valign="top" align="center">19.0%</td>
<td valign="top" align="center">53</td>
<td valign="top" align="center">16.4%</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">20.2%</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">15.5%</td>
</tr>
<tr>
<td valign="top" rowspan="3" align="left">Governorate</td>
<td valign="top" align="left">North</td>
<td valign="top" align="center">124</td>
<td valign="top" align="center">31.9%</td>
<td valign="top" align="center">105</td>
<td valign="top" align="center">32.5%</td>
<td valign="top" rowspan="3" align="center">.015*</td>
<td valign="top" align="center">117</td>
<td valign="top" align="center">33.8%</td>
<td valign="top" align="center">113</td>
<td valign="top" align="center">30.8%</td>
<td valign="top" rowspan="3" align="center">.512</td>
</tr>
<tr>
<td valign="top" align="left">top</td>
<td valign="top" align="center">137</td>
<td valign="top" align="center">35.2%</td>
<td valign="top" align="center">84</td>
<td valign="top" align="center">26.0%</td>
<td valign="top" align="center">109</td>
<td valign="top" align="center">31.5%</td>
<td valign="top" align="center">112</td>
<td valign="top" align="center">30.5%</td>
</tr>
<tr>
<td valign="top" align="left">South</td>
<td valign="top" align="center">128</td>
<td valign="top" align="center">32.9%</td>
<td valign="top" align="center">134</td>
<td valign="top" align="center">41.5%</td>
<td valign="top" align="center">120</td>
<td valign="top" align="center">34.7%</td>
<td valign="top" align="center">142</td>
<td valign="top" align="center">38.7%</td>
</tr>
<tr>
<td valign="top" rowspan="2" align="left">Education level</td>
<td valign="top" align="left">Bachelor degree</td>
<td valign="top" align="center">271</td>
<td valign="top" align="center">69.7%</td>
<td valign="top" align="center">233</td>
<td valign="top" align="center">72.1%</td>
<td valign="top" rowspan="2" align="center">.470</td>
<td valign="top" align="center">243</td>
<td valign="top" align="center">70.2%</td>
<td valign="top" align="center">261</td>
<td valign="top" align="center">71.1%</td>
<td valign="top" rowspan="2" align="center">.795</td>
</tr>
<tr>
<td valign="top" align="left">Higher studies</td>
<td valign="top" align="center">118</td>
<td valign="top" align="center">30.3%</td>
<td valign="top" align="center">90</td>
<td valign="top" align="center">27.9%</td>
<td valign="top" align="center">103</td>
<td valign="top" align="center">29.8%</td>
<td valign="top" align="center">106</td>
<td valign="top" align="center">28.9%</td>
</tr>
<tr>
<td valign="top" rowspan="6" align="left">Years of experience</td>
<td valign="top" align="left">&gt; 1 year</td>
<td valign="top" align="center">78</td>
<td valign="top" align="center">20.1%</td>
<td valign="top" align="center">69</td>
<td valign="top" align="center">21.4%</td>
<td valign="top" rowspan="6" align="center">.114</td>
<td valign="top" align="center">58</td>
<td valign="top" align="center">16.8%</td>
<td valign="top" align="center">89</td>
<td valign="top" align="center">24.3%</td>
<td valign="top" rowspan="6" align="center">.236</td>
</tr>
<tr>
<td valign="top" align="left">1-3 years</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">18.0%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">15.5%</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">17.6%</td>
<td valign="top" align="center">59</td>
<td valign="top" align="center">16.1%</td>
</tr>
<tr>
<td valign="top" align="left">4-6 years</td>
<td valign="top" align="center">70</td>
<td valign="top" align="center">18.0%</td>
<td valign="top" align="center">47</td>
<td valign="top" align="center">14.6%</td>
<td valign="top" align="center">56</td>
<td valign="top" align="center">16.2%</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">16.6%</td>
</tr>
<tr>
<td valign="top" align="left">7-10 years</td>
<td valign="top" align="center">40</td>
<td valign="top" align="center">10.3%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">15.5%</td>
<td valign="top" align="center">48</td>
<td valign="top" align="center">13.9%</td>
<td valign="top" align="center">42</td>
<td valign="top" align="center">11.4%</td>
</tr>
<tr>
<td valign="top" align="left">11-15 years</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">14.1%</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">17.6%</td>
<td valign="top" align="center">57</td>
<td valign="top" align="center">16.5%</td>
<td valign="top" align="center">55</td>
<td valign="top" align="center">15.0%</td>
</tr>
<tr>
<td valign="top" align="left">16+</td>
<td valign="top" align="center">76</td>
<td valign="top" align="center">19.5%</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">15.5%</td>
<td valign="top" align="center">66</td>
<td valign="top" align="center">19.1%</td>
<td valign="top" align="center">61</td>
<td valign="top" align="center">16.6%</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*The Chi-square statistic is significant at the.05 level.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Associations between coping strategies, depression and anxiety</title>
<p>Pearson correlation was used to investigate the associations between coping strategies and depression symptoms and anxiety, as seen in <xref ref-type="table" rid="T3"><bold>Table&#xa0;3</bold></xref>. For anxiety, there were significant positive correlations between anxiety and self-distraction, denial, use of instrumental support, behavioral disengagement, planning, venting, humor, and self-blame, and a negative correlation with acceptance. Furthermore, there were significant negative correlations between depression and self-distraction, active coping, and acceptance. Moreover, there was a positive correlation between depression and denial, venting, and planning.</p>
<table-wrap id="T3" position="float">
<label>Table&#xa0;3</label>
<caption>
<p>Associations between coping strategies and depression and anxiety.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Coping strategy</th>
<th valign="middle" colspan="2" align="center">Anxiety</th>
<th valign="middle" colspan="2" align="center">Depression</th>
</tr>
<tr>
<th valign="middle" align="center">Pearson correlation</th>
<th valign="middle" align="center">P value</th>
<th valign="middle" align="center">Pearson correlation</th>
<th valign="middle" align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Self-distraction</td>
<td valign="middle" align="center">.088<sup>*</sup></td>
<td valign="middle" align="center">.019</td>
<td valign="middle" align="center">-.142<sup>**</sup></td>
<td valign="middle" align="center">.000</td>
</tr>
<tr>
<td valign="middle" align="left">Active coping</td>
<td valign="middle" align="center">-.026</td>
<td valign="middle" align="center">.486</td>
<td valign="middle" align="center">-.123<sup>**</sup></td>
<td valign="middle" align="center">.000</td>
</tr>
<tr>
<td valign="middle" align="left">Denial</td>
<td valign="middle" align="center">.241<sup>**</sup></td>
<td valign="middle" align="center">&lt;.001</td>
<td valign="middle" align="center">.135<sup>**</sup></td>
<td valign="middle" align="center">.000</td>
</tr>
<tr>
<td valign="middle" align="left">Substance use</td>
<td valign="middle" align="center">.028</td>
<td valign="middle" align="center">.457</td>
<td valign="middle" align="center">-.054</td>
<td valign="middle" align="center">.151</td>
</tr>
<tr>
<td valign="middle" align="left">Use of emotional support</td>
<td valign="middle" align="center">.048</td>
<td valign="middle" align="center">.198</td>
<td valign="middle" align="center">-.072</td>
<td valign="middle" align="center">.055</td>
</tr>
<tr>
<td valign="middle" align="left">Use of instrumental support</td>
<td valign="middle" align="center">.102<sup>**</sup></td>
<td valign="middle" align="center">.007</td>
<td valign="middle" align="center">-.049</td>
<td valign="middle" align="center">.188</td>
</tr>
<tr>
<td valign="middle" align="left">Behavioral disengagement</td>
<td valign="middle" align="center">.215<sup>**</sup></td>
<td valign="middle" align="center">&lt;.001</td>
<td valign="middle" align="center">.046</td>
<td valign="middle" align="center">.221</td>
</tr>
<tr>
<td valign="middle" align="left">Positive reframing</td>
<td valign="middle" align="center">.008</td>
<td valign="middle" align="center">.831</td>
<td valign="middle" align="center">-.003</td>
<td valign="middle" align="center">.943</td>
</tr>
<tr>
<td valign="middle" align="left">Venting</td>
<td valign="middle" align="center">.208<sup>**</sup></td>
<td valign="middle" align="center">&lt;.001</td>
<td valign="middle" align="center">.109<sup>**</sup></td>
<td valign="middle" align="center">.004</td>
</tr>
<tr>
<td valign="middle" align="left">Planning</td>
<td valign="middle" align="center">.201<sup>**</sup></td>
<td valign="middle" align="center">&lt;.001</td>
<td valign="middle" align="center">.122<sup>**</sup></td>
<td valign="middle" align="center">.001</td>
</tr>
<tr>
<td valign="middle" align="left">Humor</td>
<td valign="middle" align="center">.093<sup>*</sup></td>
<td valign="middle" align="center">.013</td>
<td valign="middle" align="center">-.050</td>
<td valign="middle" align="center">.180</td>
</tr>
<tr>
<td valign="middle" align="left">Acceptance</td>
<td valign="middle" align="center">-.123<sup>**</sup></td>
<td valign="middle" align="center">.001</td>
<td valign="middle" align="center">-.092<sup>*</sup></td>
<td valign="middle" align="center">.014</td>
</tr>
<tr>
<td valign="middle" align="left">Religion</td>
<td valign="middle" align="center">.023</td>
<td valign="middle" align="center">.532</td>
<td valign="middle" align="center">.019</td>
<td valign="middle" align="center">.620</td>
</tr>
<tr>
<td valign="middle" align="left">Self-blame</td>
<td valign="middle" align="center">.212<sup>**</sup></td>
<td valign="middle" align="center">&lt;.001</td>
<td valign="middle" align="center">.094<sup>*</sup></td>
<td valign="middle" align="center">.012</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p><sup>&#x2217;</sup>p &lt; 0.05, ** p &lt; 0.05.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Multivariate logistic regression for determinants of depression and anxiety</title>
<p>Multivariate logistic regression was used to explore the factors that predict the development of depression symptoms (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). The findings showed that the participants who used self-distraction (AOR:.785, p &lt;.001), active coping (AOR:.860, p &lt;.012), substance use (AOR:.851, p &lt;.030), emotional support (AOR:.877, p &lt;.020), and acceptance as coping strategies (AOR:.893, p &lt;.045) were less likely to experience depression than those who did not use them. However, the participants who used denial (AOR: 1.153, p &lt;.006), venting (AOR: 1.254, p &lt;.001), and planning (AOR: 1.290, p &lt;.001) as coping strategies were more likely to experience depression than those who did not use them. Moreover, multivariate logistic regression was used to explore the factors that predict the development of anxiety symptoms (<xref ref-type="table" rid="T4"><bold>Table&#xa0;4</bold></xref>). The findings showed that males were less likely to experience anxiety than females (AOR:.616, p &lt;.004). Also, the participants who used emotional support (AOR:.867, p &lt;.010) and acceptance as coping strategies (AOR:.788, p &lt;.000) were less likely to experience anxiety than those who did not use them. However, the participants who used denial (AOR: 1.149, p &lt;.007), behavioral disengagement (AOR: 1.155, p &lt;.022), venting (AOR: 1.214, p &lt;.004), and planning (AOR: 1.308, p &lt;.000) were more likely to experience anxiety than those who did not use them.</p>
<table-wrap id="T4" position="float">
<label>Table&#xa0;4</label>
<caption>
<p>Multivariate logistic regression models for the predictions of depression and anxiety symptoms.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" align="left">Characteristics</th>
<th valign="middle" rowspan="2" align="left">Sig.</th>
<th valign="middle" rowspan="2" align="left">AOR</th>
<th valign="middle" colspan="2" align="left">95% CI</th>
</tr>
<tr>
<th valign="middle" align="left">Lower</th>
<th valign="middle" align="left">Upper</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="5" align="left">Depression</th>
</tr>
<tr>
<td valign="middle" align="left">Self-distraction</td>
<td valign="middle" align="right">.001</td>
<td valign="middle" align="right">.785</td>
<td valign="middle" align="right">.694</td>
<td valign="middle" align="right">.888</td>
</tr>
<tr>
<td valign="middle" align="left">Active coping</td>
<td valign="middle" align="right">.012</td>
<td valign="middle" align="right">.860</td>
<td valign="middle" align="right">.765</td>
<td valign="middle" align="right">.968</td>
</tr>
<tr>
<td valign="middle" align="left">Denial</td>
<td valign="middle" align="right">.006</td>
<td valign="middle" align="right">1.153</td>
<td valign="middle" align="right">1.042</td>
<td valign="middle" align="right">1.276</td>
</tr>
<tr>
<td valign="middle" align="left">Substance use</td>
<td valign="middle" align="right">.030</td>
<td valign="middle" align="right">.851</td>
<td valign="middle" align="right">.736</td>
<td valign="middle" align="right">.984</td>
</tr>
<tr>
<td valign="middle" align="left">Use of emotional support</td>
<td valign="middle" align="right">.020</td>
<td valign="middle" align="right">.877</td>
<td valign="middle" align="right">.784</td>
<td valign="middle" align="right">.980</td>
</tr>
<tr>
<td valign="middle" align="left">Venting</td>
<td valign="middle" align="right">.001</td>
<td valign="middle" align="right">1.254</td>
<td valign="middle" align="right">1.099</td>
<td valign="middle" align="right">1.431</td>
</tr>
<tr>
<td valign="middle" align="left">Planning</td>
<td valign="middle" align="right">.001</td>
<td valign="middle" align="right">1.290</td>
<td valign="middle" align="right">1.138</td>
<td valign="middle" align="right">1.462</td>
</tr>
<tr>
<td valign="middle" align="left">Acceptance</td>
<td valign="middle" align="right">.045</td>
<td valign="middle" align="right">.893</td>
<td valign="middle" align="right">.799</td>
<td valign="middle" align="right">.997</td>
</tr>
<tr>
<th valign="middle" colspan="5" align="left">Anxiety</th>
</tr>
<tr>
<td valign="middle" align="left">Gender ( Ref. female)</td>
<td valign="middle" align="right">.004</td>
<td valign="middle" align="right">.616</td>
<td valign="middle" align="right">.443</td>
<td valign="middle" align="right">.857</td>
</tr>
<tr>
<td valign="middle" align="left">Denial</td>
<td valign="middle" align="right">.007</td>
<td valign="middle" align="right">1.149</td>
<td valign="middle" align="right">1.038</td>
<td valign="middle" align="right">1.272</td>
</tr>
<tr>
<td valign="middle" align="left">Use of emotional support</td>
<td valign="middle" align="right">.010</td>
<td valign="middle" align="right">.867</td>
<td valign="middle" align="right">.778</td>
<td valign="middle" align="right">.967</td>
</tr>
<tr>
<td valign="middle" align="left">Behavioral disengagement</td>
<td valign="middle" align="right">.022</td>
<td valign="middle" align="right">1.155</td>
<td valign="middle" align="right">1.021</td>
<td valign="middle" align="right">1.306</td>
</tr>
<tr>
<td valign="middle" align="left">Venting</td>
<td valign="middle" align="right">.004</td>
<td valign="middle" align="right">1.214</td>
<td valign="middle" align="right">1.064</td>
<td valign="middle" align="right">1.385</td>
</tr>
<tr>
<td valign="middle" align="left">Planning</td>
<td valign="middle" align="right">.000</td>
<td valign="middle" align="right">1.308</td>
<td valign="middle" align="right">1.146</td>
<td valign="middle" align="right">1.492</td>
</tr>
<tr>
<td valign="middle" align="left">Acceptance</td>
<td valign="middle" align="right">.000</td>
<td valign="middle" align="right">.788</td>
<td valign="middle" align="right">.705</td>
<td valign="middle" align="right">.880</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>The multivariate logistic regression model includes all study variables.</p></fn>
<fn>
<p>AOR, Adjusted Odds Ratio; 95% CI, 95% Confidence Interval; Sig., Significance level (p &lt;0.05).</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The current study is a pioneer in investigating the prevalence of depression and anxiety, as well as their association with coping strategies, among Palestinian health workers in a wartime context. Our findings underscore the importance of taking mental health during conflict periods seriously as a public health concern. The findings revealed a significant prevalence of depression and anxiety among Palestinian health workers. These results are considered high in comparison to the findings of previous studies. Researchers reported that the prevalence of depression among health professionals in Uganda was 11.0%, while the prevalence of anxiety was 14.5% (<xref ref-type="bibr" rid="B22">22</xref>). According to Elhadi et&#xa0;al., 45% of emergency doctors in Libya had anxiety and depression following the civil war (<xref ref-type="bibr" rid="B23">23</xref>). One systematic review found that the prevalence of anxiety among healthcare professionals was 23.2%, while depression was 22.8% (<xref ref-type="bibr" rid="B24">24</xref>). In Ukraine, Rzo&#x144;ca et&#xa0;al. reported that anxiety and depression disorders were prevalent among physicians and paramedics during combat at 12.6% and 9%, respectively (<xref ref-type="bibr" rid="B25">25</xref>).</p>
<p>Furthermore, Lim et&#xa0;al. revealed that the prevalence of depression and anxiety increased during times of conflict or war by 28.9, and 30.7, respectively (<xref ref-type="bibr" rid="B26">26</xref>). Additionally, during the COVID-19 epidemic in the United States, Prasad et&#xa0;al. found that 22.7% of healthcare professionals were depressed and 69.4% were anxious (<xref ref-type="bibr" rid="B27">27</xref>).</p>
<p>Nevertheless, other studies revealed a higher prevalence than our study. For instance, a recent study in Gaza found that 93.9% of health professionals experienced depression and 96.5% experienced anxiety (<xref ref-type="bibr" rid="B21">21</xref>). Additionally, Wa&#x144;kowicz et&#xa0;al. found that depression and anxiety were prevalent among healthcare workers in Poland during the COVID-19 pandemic, with 70.7% and 64.3%, respectively (<xref ref-type="bibr" rid="B28">28</xref>). The findings of our study may be attributed to the fact that Palestinian healthcare workers were working in a resource-limited environment, where they were confronted with significant stressors such as inadequate staffing, limited health support, and heavy responsibilities (<xref ref-type="bibr" rid="B29">29</xref>). In addition, practitioners&#x2019; mental health problems may be exacerbated by the ubiquitous hardships associated with armed conflicts, including poverty, malnutrition, devastation, economic and social deterioration, and pervasive feelings of sadness, fear, despair, and depression (<xref ref-type="bibr" rid="B30">30</xref>). To effectively manage stress and prioritize their own mental well-being, it is imperative that health personnel receive psychological interventions and treatment, particularly in high-stress contexts such as wars.</p>
<p>Several variables have been identified as potential causes of anxiety and depression among mental health professionals during armed conflict and hostilities in the current study. For instance, the results indicated that males were less likely to experience anxiety than females, which is consistent with the findings of other studies (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B31">31</xref>). Research indicates that women exhibit a significantly higher prevalence of anxiety disorders and a higher level of anxiety sensitivity than men (<xref ref-type="bibr" rid="B32">32</xref>). Furthermore, women display greater emotional distress and anxious coping strategies in response to stressors than their male counterparts (<xref ref-type="bibr" rid="B32">32</xref>, <xref ref-type="bibr" rid="B33">33</xref>). Additionally, women adopt a ruminative coping style (<xref ref-type="bibr" rid="B34">34</xref>). Research indicates that an increasing trajectory of anxiety arousal symptoms in women is caused by a negative cognitive style or rumination in conjunction with a stressor (<xref ref-type="bibr" rid="B35">35</xref>, <xref ref-type="bibr" rid="B36">36</xref>). This trend was attributed by Zhang et&#xa0;al. to the fact that females are required to work night schedules and have contact with high-risk patients, which may exacerbate their symptoms of anxiety (<xref ref-type="bibr" rid="B37">37</xref>). Consequently, to address the needs of female health professionals, psychological intervention and psychotherapy are required in the workplace. Furthermore, additional research is required to investigate the cause of the elevated anxiety levels among female health workers.</p>
<p>The present study revealed that mental health professionals employed varied coping strategies, which might decrease or increase their levels of depression and anxiety. For instance, the current study found that mental health professionals who used self-distraction, substance use and active coping were less susceptible to depression than their counterparts who did not. This finding is consistent with the results of other studies (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B38">38</xref>&#x2013;<xref ref-type="bibr" rid="B40">40</xref>) and contradicts other studies (<xref ref-type="bibr" rid="B41">41</xref>). Sharif et&#xa0;al. reported comparable findings, indicating that participants utilized adaptive coping strategies, including substance use, self-distraction, and active coping, to manage their depression (<xref ref-type="bibr" rid="B42">42</xref>). Also, Wahab et&#xa0;al. revealed that depression was less likely to occur in correlation with active coping and self-distraction strategies (<xref ref-type="bibr" rid="B43">43</xref>). Further, Avants et&#xa0;al. found that depressed patients were more likely to rely on avoidant coping strategies and less on adaptive coping strategies (<xref ref-type="bibr" rid="B44">44</xref>). For instance, distraction is a passive coping strategy that involves the individual avoiding confrontation with the situation or attempting to resolve the problem (<xref ref-type="bibr" rid="B45">45</xref>). If the situation is unchangeable, it may be beneficial to engage in activities that provide a sense of relaxation, such as reading, exercising, or viewing television, to divert one&#x2019;s attention from the distressing event (<xref ref-type="bibr" rid="B45">45</xref>). Furthermore, individuals with depression may be particularly susceptible to engaging in substance use as a coping mechanism to mitigate their severe, all-encompassing psychological distress (<xref ref-type="bibr" rid="B39">39</xref>). Research has linked efficient coping strategies, such as problem-solving, to improved mental health outcomes. However, maladaptive strategies, such as substance misuse or avoidance, can exacerbate depression (<xref ref-type="bibr" rid="B46">46</xref>). According to Steare et&#xa0;al., the persistent use of avoidant coping strategies can reduce quality of life by inducing ongoing stress (<xref ref-type="bibr" rid="B47">47</xref>). Additionally, individuals who use substances to alleviate negative emotions may be at increased risk of developing substance use disorders (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Our findings underscore the potential benefits of addressing depression, which is a promising target for interventions that foster adaptive coping and empowerment among health professionals who are depressed. In addition, it is important to provide psychotherapies specifically tailored to address substance use. Furthermore, additional research is required to evaluate the potential efficacy of these strategies in reducing problematic substance use among individuals with depression.</p>
<p>Additionally, our results indicated that the participants who employed emotional coping strategies, including acceptance and emotional support, were less likely to experience anxiety and depression, which is consistent with the findings of other studies (<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>). In contrast, Yoon et&#xa0;al. found that depression was negatively associated with problem-focused coping, while emotion-focused coping was positively associated with it (<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>). Emotional support is crucial because it is regarded as a protective mechanism against life stressors and is believed to enhance health and wellness (<xref ref-type="bibr" rid="B55">55</xref>). Furthermore, acceptance serves as an effective psychological buffering mechanism (<xref ref-type="bibr" rid="B41">41</xref>). According to Stals et&#xa0;al., acceptance may serve as a means of coping with the bereavement process when confronted with overwhelming illness, trauma, and loss in the context of restricted resources (<xref ref-type="bibr" rid="B41">41</xref>). Our results may indicate that depressed participants exhibited a tendency to reduce their use of the &#x201c;confrontation&#x201d; coping strategy and were more likely to rely on acceptance to manage their stressors, which may have contributed to their depression and anxiety. Nevertheless, Beck et&#xa0;al. suggested that acceptance may exacerbate pessimistic emotions (<xref ref-type="bibr" rid="B56">56</xref>). Consequently, it was essential to implement coping skills training and psychological therapies in the care of professionals with depression and anxiety (<xref ref-type="bibr" rid="B56">56</xref>). The coping intervention has to include the reconstruction of recognition and the promotion of a positive view regarding adaptation to stress.</p>
<p>Finally, our research indicated that participants employing avoidant coping mechanisms (denial), emotional coping strategies (venting), and problem-solving strategies (planning) were more vulnerable to experiencing depression and anxiety than those who did not use these methods, which confirms findings from other studies (<xref ref-type="bibr" rid="B30">30</xref>). Avoidant coping mechanisms are frequently considered maladaptive because of their poor correlation with psychological well-being (<xref ref-type="bibr" rid="B57">57</xref>). Wahab et&#xa0;al. found that the use of maladaptive coping techniques, such as denial, correlated with a heightened probability of depression (<xref ref-type="bibr" rid="B43">43</xref>). In addition, Lee et&#xa0;al. showed that elevated utilization of emotion-focused coping strategies correlates with increased depression symptoms, particularly in relation to emotional venting and denial coping (<xref ref-type="bibr" rid="B58">58</xref>). Excessive venting without effective coping methods may result in rumination, reinforcing negative thought patterns and intensifying depression symptoms (<xref ref-type="bibr" rid="B59">59</xref>). Furthermore, denial coping often involves the suppression or disregard of negative feelings, especially those associated with depression (<xref ref-type="bibr" rid="B58">58</xref>). According to Bj&#xf8;rkl&#xf8;f et&#xa0;al., health workers risk missing out on opportunities for processing emotions, acknowledging them, and getting the help they need if they avoid or reject these feelings (<xref ref-type="bibr" rid="B60">60</xref>). In addition, our finding indicated that planning may exacerbate anxiety and depression. This finding stands in contrast to previous studies (<xref ref-type="bibr" rid="B50">50</xref>&#x2013;<xref ref-type="bibr" rid="B52">52</xref>) that have shown planning coping as a protective factor against anxiety and depression. A potential explanation is that the presence of an excessive number of complicated and unpredictable factors in a healthcare environment can impede the planning process and, in fact, increase tension (<xref ref-type="bibr" rid="B41">41</xref>). Lazarus and Folkman&#x2019;s transactional theory posits that the effectiveness of any coping strategy depends fundamentally on the controllability of the stressor (<xref ref-type="bibr" rid="B61">61</xref>). Problem-focused coping strategies, such as planning, are most effective when stressors are manageable and can be directly addressed. Nevertheless, when stressors are outside an individual&#x2019;s control, problem-focused strategies may prove counterproductive (<xref ref-type="bibr" rid="B15">15</xref>). They may lead individuals to allocate cognitive and emotional resources to unresolvable issues, resulting in heightened exhaustion and anxiety (<xref ref-type="bibr" rid="B62">62</xref>). Moreover, wartime conditions impose significant, often uncontrollable pressures on healthcare professionals. Factors such as ongoing violence, unpredictable attacks, lack of resources, damage to infrastructure, and threats to personal safety are out of their control (<xref ref-type="bibr" rid="B63">63</xref>). Thus, sticking rigidly to a planning strategy in chaotic situations can hinder emotional adaptation, which is crucial for achieving psychological resilience during wartime. Therefore, relying on planning under these circumstances may demonstrate cognitive inflexibility and an inability to adjust coping strategies to meet situational demands, thereby suggesting a maladaptive coping approach (<xref ref-type="bibr" rid="B64">64</xref>). As a consequence, healthcare providers can express their emotions and investigate alternative approaches by providing education about healthy coping strategies, including the limitations of excessive venting or denial coping (<xref ref-type="bibr" rid="B65">65</xref>). Also, psychoeducation promotes the cultivation of healthier coping strategies and builds awareness (<xref ref-type="bibr" rid="B58">58</xref>). Zhang and Li emphasized the significance of offering psychological interventions such as community-based programs, internet- and mobile-mediated interventions, cognitive behavioral therapy, mindfulness meditation, trauma-informed care, and support groups for individuals affected by armed conflict (<xref ref-type="bibr" rid="B66">66</xref>).</p>
<p>This research is subject to limitations. The representativeness of the sample and the generalizability of the findings are influenced by convenience sampling and cross-sectional designs, which reduce the ability to demonstrate causal relationships and limit the generalizability of results. Additionally, the use of a self-reported questionnaire may increase the likelihood of reporting bias. It is likely that health personnel who are already employed in the impacted areas, including the Gaza Strip, do not have access to or the opportunity to use this technology, as recruiting took place using platforms such as Google Docs and WhatsApp. Consequently, the representativeness of the sample may be affected by this circumstance. In addition, there is a scarcity of research that investigates the coping strategies, anxiety, and depression of healthcare professionals during wartime. Consequently, the ability to compare our results to those of other studies is restricted. Despite these limitations, the results of the current study shed light on the psychological well-being of health professionals residing in countries that are conflict-affected. This study is a significant contribution to the current literature, as it is the first to examine the coping strategies, depression, and anxiety of Palestinian healthcare professionals during periods of political violence and armed conflict.</p>
<sec id="s4_1">
<label>4.1</label>
<title>Implications for clinical care and policy</title>
<p>The high prevalence of depression and anxiety among healthcare personnel points to the urgent need for specialized mental health interventions and support in the healthcare sector and public action to protect the mental health of these professionals. Promoting early detection and proactive intervention for depression and anxiety is essential as a preventive strategy against severe mental health disorders. Regular mental health assessments, counseling services, and educational initiatives bolster the resilience and coping abilities of health professionals, particularly among females and individuals employing avoidance strategies such as denial and substance use, as well as emotional coping techniques like venting and problem-solving strategies such as planning. Consequently, educating individuals on healthy coping strategies and offering psychoeducation fosters awareness and the cultivation of adaptive coping mechanisms. Moreover, collaboration among governments, healthcare institutions, and communities is essential to acknowledge and bolster the mental health of healthcare personnel. Additionally, further research is necessary to investigate the reasons behind the elevated prevalence of depression and anxiety, particularly among female health workers. Additional research is necessary to assess the potential efficacy of coping strategies in mitigating problematic substance use among healthcare professionals suffering from depression and anxiety.</p>
</sec>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The findings revealed a high prevalence of depression and anxiety among health professionals during wartime and political violence. As a result, health professionals need assistance in enhancing their mental well-being through psychological support, psychotherapy, and comprehensive training in stress management.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material. Further inquiries can be directed to the corresponding author.</p></sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Al Quds University Research Ethical Committee (Ref No: 347/REC/2023). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>MA: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Supervision, Validation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MN: Investigation, Validation, Writing &#x2013; review &amp; editing. NE: Investigation, Validation, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>The authors would like to thank all participants for their participation. The authors confirm that the following manuscript is a transparent and honest account of the reported research. This research is related to a previous study titled &#x201c;The prevalence of burnout and coping strategies among Palestinian health professionals: a cross-sectional study. The previous study was performed on burnout and coping strategies, and the current submission focuses on depression, anxiety, and coping mechanisms. The study follows the methodology explained in the prevalence of burnout and coping strategies among Palestinian health professionals: a cross-sectional study.</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The author(s) declared that this work 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="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s12" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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