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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Oncol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Oncology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Oncol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2234-943X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fonc.2026.1665569</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Systematic Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Prevalence of depression among breast cancer patients in Asia: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Mo</surname><given-names>Wanqing</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
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</contrib>
<contrib contrib-type="author">
<name><surname>Ding</surname><given-names>Xiufang</given-names></name>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name><surname>Wu</surname><given-names>Xingxing</given-names></name>
<xref ref-type="aff" rid="aff1"/>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3133708/overview"/>
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</contrib-group>
<aff id="aff1"><institution>Department of Breast, Huzhou Maternity and Child Health Care Hospital</institution>, <city>Huzhou</city>, <state>Zhejiang</state>,&#xa0;<country country="cn">China</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Xingxing Wu, <email xlink:href="mailto:wxx19880225@outlook.com">wxx19880225@outlook.com</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-03">
<day>03</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>16</volume>
<elocation-id>1665569</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>13</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>29</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Mo, Ding and Wu.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Mo, Ding and Wu</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-03">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>Background</title>
<p>While breast cancer (BC) patients face a heightened risk of depression, regional variations in prevalence within Asia remain underexplored. This study aimed to systematically review and meta-analyze the prevalence of depression among BC patients in Asia, and to explore variations by region and treatment modality.</p>
</sec>
<sec>
<title>Methods</title>
<p>We searched multiple databases (e.g., PubMed, Embase, CNKI) for studies reporting depression prevalence in Asian adult BC patients up to May 2025. Inclusion required the use of standardized diagnostic or validated screening tools. Data extraction and quality assessment followed standard systematic review procedures. Pooled prevalence estimates were derived using a random-effects model in R software.</p>
</sec>
<sec>
<title>Results</title>
<p>The meta-analysis revealed that the pooled prevalence of depression among Asian breast cancer patients was 28% (95% CI: 0.20&#x2013;0.36). However, subgroup analyses were inconclusive regarding differences by region or treatment, likely due to limited representation within each subgroup.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The findings suggest a high incidence of depression in breast cancer patients, underscoring the importance of integrating psychological interventions into their treatment plans. However, as analyses for regional or treatment-related differences were inconclusive, future research&#x2014;particularly with larger samples from diverse settings&#x2014;is needed to clarify these associations and better inform the development of tailored intervention strategies for BC patients across diverse Asian regions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>Asia</kwd>
<kwd>breast cancer</kwd>
<kwd>depression</kwd>
<kwd>meta-analysis</kwd>
<kwd>prevalence</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="7"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="38"/>
<page-count count="10"/>
<word-count count="4115"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Breast Cancer</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Breast cancer (BC) is a prevalent malignancy among women globally, with significant contributions to cancer-related morbidity and mortality (<xref ref-type="bibr" rid="B1">1</xref>). Beyond the physical challenges posed by the disease, BC patients often encounter severe psychological difficulties, with depression being a prominent concern (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>). The presence of depression in BC patients can negatively influence treatment adherence, quality of life, and overall prognosis (<xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>The prevalence of depression among BC patients can be affected by a variety of factors, including demographic variables, clinical factors, and psychosocial elements. Demographic factors such as age, marital status, and socio-economic status play a crucial role, with younger patients and those lacking social support being particularly vulnerable (<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Clinical aspects, including cancer stage at diagnosis, type of treatment received (e.g., chemotherapy, surgery, radiation therapy), and comorbid conditions, also significantly affect the likelihood of depression (<xref ref-type="bibr" rid="B7">7</xref>, <xref ref-type="bibr" rid="B8">8</xref>). Moreover, psychosocial factors such as social support levels, prior mental health history, and coping mechanisms are vital determinants of mental health outcomes in these patients (<xref ref-type="bibr" rid="B9">9</xref>).</p>
<p>Despite the recognition of these influencing factors, a significant variation in the reported prevalence of depression among breast cancer patients persists across studies in Asia. Among the included Asian studies, prevalence ranged from approximately 3.71% in a Korean national cohort to 51.02% in a Jordanian study, with other countries also reporting high rates (e.g., 48% in China, 44.51% in Syria, 39.53% in Vietnam), suggesting that regional and methodological differences may jointly drive the wide dispersion of estimates (<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). This variability may stem from differences in study design, sample characteristics, and methodological approaches to diagnosing depression (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>Breast cancer patients often face a significant psychological burden throughout diagnosis, treatment, and follow-up. Depression not only affects quality of life and treatment adherence but may also increase healthcare costs and hinder long-term recovery. Previous systematic reviews and meta-analyses indicate a considerable global pooled prevalence of depression in breast cancer patients, at approximately 30%&#x2013;32% (<xref ref-type="bibr" rid="B17">17</xref>). Furthermore, the burden of depression shows marked regional variation. When stratified by WHO region, prevalence is approximately 49%&#x2013;51% in the Eastern Mediterranean and 23%&#x2013;33% in Southeast Asia (<xref ref-type="bibr" rid="B18">18</xref>), suggesting associations with socioeconomic development, healthcare accessibility, and cultural context.</p>
<p>Consequently, we systematically reviewed the existing literature on depression among breast cancer patients in Asia and conducted this meta-analysis. Our aims are to investigate regional variations and understand how various factors contribute to these differences. This comprehensive synthesis will help inform the development of targeted mental health interventions to better support breast cancer patients in Asia.</p>
</sec>
<sec id="s2">
<title>Methods</title>
<sec id="s2_1">
<title>Search strategy</title>
<p>A systematic literature search was conducted in the following databases: the English databases PubMed, Wiley Library, Embase, Cochrane Library, and PsycINFO, as well as the Chinese database CNKI. The search terms included &#x201c;breast cancer&#x201d; OR &#x201c;breast neoplasm&#x201d;, &#x201c;depression&#x201d; OR &#x201c;depressive disorder&#x201d;, &#x201c;prevalence&#x201d; OR &#x201c;epidemiology&#x201d; and their combinations, using Boolean operators (AND/OR). The search period covered from the inception of each database to May 31, 2025, and the search was restricted to publications in English and Chinese. Although platforms containing Chinese academic literature were searched, the inclusion criteria for this systematic review were limited to studies published in full text in English or Chinese. Due to constraints in resources and translation capacity, we did not attempt to translate or include studies published in other Asian languages (e.g., Korean, Japanese).</p>
</sec>
<sec id="s2_2">
<title>Inclusion and exclusion criteria</title>
<sec id="s2_2_1">
<title>Inclusion criteria</title>
<list list-type="order">
<list-item>
<p>Subjects: Female patients diagnosed with breast cancer, with no restrictions on age or nationality. Studies must include patients assessed for depression using standardized diagnostic criteria, such as the Diagnostic and Statistical Manual of Mental Disorders (DSM) or the International Classification of Diseases (ICD), or validated screening tools such as the Hospital Anxiety and Depression Scale (HADS) or the Beck Depression Inventory (BDI).</p></list-item>
<list-item>
<p>Geographical Scope: Studies conducted in Asian countries, including but not limited to China, India, Japan, South Korea, Malaysia, Palestine, Vietnam and Thailand.</p></list-item>
<list-item>
<p>Type of Study: Randomized controlled trials, cohort studies, case-control studies, and cross-sectional studies that investigate the prevalence of depression among breast cancer patients.</p></list-item>
<list-item>
<p>Outcome Measures: Studies that report the prevalence of depression or provide data on the incidence of depression among breast cancer patients.</p></list-item>
<list-item>
<p>Study Quality: Research published in peer-reviewed journals.</p></list-item>
</list>
</sec>
<sec id="s2_2_2">
<title>Exclusion criteria</title>
<list list-type="order">
<list-item>
<p>Incomplete Data: Studies with incomplete original data that do not allow for extraction of relevant information regarding depression risk factors and outcomes.</p></list-item>
<list-item>
<p>Duplicate Publications: Repeatedly published literature or duplicate studies to ensure that each study is only included once.</p></list-item>
<list-item>
<p>Non-Compliant Interventions: Studies that do not adhere to standardized diagnostic criteria or validated screening tools for assessing depression, or studies that focus solely on treatment outcomes without evaluating risk factors.</p></list-item>
<list-item>
<p>Lower quality: Studies published in non-peer-reviewed journals.</p></list-item>
</list>
</sec>
</sec>
<sec id="s2_3">
<title>Data extraction</title>
<p>The literature screening and data extraction were strictly conducted independently by two researchers according to the inclusion and exclusion criteria, followed by cross-checking. In cases of disagreement, a third researcher was consulted to resolve the issue through discussion. The extracted data included the author, year, study type, sample size, age, identified risk factors, and outcome measures related to depression.</p>
</sec>
<sec id="s2_4">
<title>Literature quality assessment</title>
<p>The literature included in this study was retrospectively analyzed using the JBI Critical Appraisal Checklist (JBI). The&#xa0;studies were categorized based on their evaluation as follows: high quality: score &#x2265;80%; moderate quality: score between 50% and 79%; low quality: score &lt;50%.</p>
</sec>
<sec id="s2_5">
<title>GRADE evidence evaluating system</title>
<p>The quality of evidence was assessed using GRADE profiler 3.6 (<xref ref-type="bibr" rid="B19">19</xref>), categorizing it into high, moderate, low, and very low levels. The assessment criteria included risk of bias, inconsistency, indirectness, imprecision, and publication bias.</p>
</sec>
<sec id="s2_6">
<title>Statistical methods</title>
<p>A meta-analysis of the point prevalence of depression among breast cancer patients in Asia was performed using R software. The outcome was defined as the depression prevalence reported at a specific assessment time point in each study. In anticipation of substantial clinical and methodological heterogeneity, a random-effects model was employed for pooling, and the restricted maximum likelihood (REML) method was used to estimate the between-study variance (&#x3c4;&#xb2;). Proportion data from individual studies were pooled after Freeman-Tukey double arcsine transformation to stabilize variances and handle extreme proportions. The results are reported as the pooled prevalence (PP) with its 95% confidence interval (95% CI) on the original scale after back-transformation. Heterogeneity was quantified using the I&#xb2; statistic, &#x3c4;&#xb2;, and Cochran&#x2019;s Q test (with reported p-value). All results are presented visually in a forest plot.</p>
<p>To explore sources of heterogeneity, subgroup analyses were further conducted by geographical region and treatment type (chemotherapy, surgery, or both). Differences between subgroups were tested for statistical significance using the Q-test based on meta-regression. The following sensitivity analyses were performed to examine the robustness of the results: leave-one-out analysis, subgroup analysis by depression assessment tool/cut-off, and subgroup analysis by risk of bias. Potential small-study effects (publication bias) were assessed using a funnel plot and Egger&#x2019;s regression test.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<p>From the online databases, a total of 11,278 records were retrieved. After removing 7,955 duplicates and excluding 436 records based on title/abstract screening, 2,887 reports remained for full-text screening. Of these, 11 articles met the inclusion criteria, and one additional study was identified through citation searching, resulting in 12 studies included in the quantitative synthesis. The PRISMA flow chart diagram is presented 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>Literature screening flowchart.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g001.tif">
<alt-text content-type="machine-generated">Flowchart illustrating a systematic review study selection process. Out of 11,278 records identified, duplicates reduced the pool to 3,323 screened records. Sequential exclusions for abstracts, unavailable texts, and eligibility left 11 final included studies.</alt-text>
</graphic></fig>
<sec id="s3_1">
<title>Study characteristics</title>
<p>All 11 high quality studies, assessed by the JBI quality assessment checklist (<xref ref-type="bibr" rid="B20">20</xref>), are included in this meta-analysis and are summarized in <xref ref-type="table" rid="T1"><bold>Table&#xa0;1</bold></xref>. A total of 89,615 cases were reported spanning South Korea (<xref ref-type="bibr" rid="B10">10</xref>), Oman (<xref ref-type="bibr" rid="B21">21</xref>), China (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>), Malaysia (<xref ref-type="bibr" rid="B23">23</xref>), Iran (<xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B25">25</xref>), Palestine (<xref ref-type="bibr" rid="B26">26</xref>), Jordan (<xref ref-type="bibr" rid="B11">11</xref>), Syria (<xref ref-type="bibr" rid="B13">13</xref>) and Vietnam (<xref ref-type="bibr" rid="B14">14</xref>). Most studies employed a cross-sectional study design, with three being cohort studies, and the majority had a sample size between 160 and 300. Two studies used the HADS scale (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B23">23</xref>) to assess outcomes, three studies used the PHQ scale (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B26">26</xref>), two studies used the ZDSS scale (<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B25">25</xref>), and the remaining studies used the BDI-II (<xref ref-type="bibr" rid="B24">24</xref>), DASS (<xref ref-type="bibr" rid="B11">11</xref>), EQ-5D-5L (<xref ref-type="bibr" rid="B14">14</xref>), and ICD-9 (<xref ref-type="bibr" rid="B10">10</xref>) criteria, respectively. These studies can also be subgrouped based on the breast cancer treatment received by participants: four studies included patients receiving chemotherapy only (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>), three studies included patients undergoing surgery only (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B26">26</xref>), two studies included patients receiving both chemotherapy and surgery (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), and the remaining studies included patients who were diagnosed but had not yet started treatment (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Characteristics of included studies on depression among breast cancer patients in Asia.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Author</th>
<th valign="middle" align="left">Publication year</th>
<th valign="middle" align="left">Country</th>
<th valign="middle" align="left">Total population analyzed</th>
<th valign="middle" align="left">Age (years)</th>
<th valign="middle" align="left">Outcome measurement</th>
<th valign="middle" align="left">Developed outcome</th>
<th valign="middle" align="left">Prevalence (%)</th>
<th valign="middle" align="left">Study design</th>
<th valign="middle" align="left">Type of study participants</th>
<th valign="middle" align="left">Level of quality</th>
<th valign="middle" align="left">Timing of depression assessment</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Heo et&#xa0;al. (<xref ref-type="bibr" rid="B10">10</xref>)</td>
<td valign="middle" align="left">2017</td>
<td valign="middle" align="left">South Korea</td>
<td valign="middle" align="left">87842</td>
<td valign="middle" align="left">10+</td>
<td valign="middle" align="left">ICD-9</td>
<td valign="middle" align="left">3256</td>
<td valign="middle" align="left">3.71</td>
<td valign="middle" align="left">Cohort</td>
<td valign="middle" align="left">invasive breast cancer patient<break/>underwent surgery</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Depression ICD codes captured from 1 year before BC diagnosis to at least 6 months after diagnosis/surgery.</td>
</tr>
<tr>
<td valign="middle" align="left">Al-Fahdi et&#xa0;al. (<xref ref-type="bibr" rid="B21">21</xref>)</td>
<td valign="middle" align="left">2023</td>
<td valign="middle" align="left">Oman</td>
<td valign="middle" align="left">171</td>
<td valign="middle" align="left">18+</td>
<td valign="middle" align="left">HADS</td>
<td valign="middle" align="left">29</td>
<td valign="middle" align="left">16.95</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BC patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Single timepoint survey during clinic appointment (outpatient visit).</td>
</tr>
<tr>
<td valign="middle" align="left">Li (<xref ref-type="bibr" rid="B12">12</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">300</td>
<td valign="middle" align="left">18+</td>
<td valign="middle" align="left">PHQ-9 &amp; GAD7</td>
<td valign="middle" align="left">144</td>
<td valign="middle" align="left">48</td>
<td valign="middle" align="left">longitudinal prospective study</td>
<td valign="middle" align="left">BC patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Baseline at discharge; follow-ups at 6, 12, and 18 months after discharge.</td>
</tr>
<tr>
<td valign="middle" align="left">Hassan (<xref ref-type="bibr" rid="B23">23</xref>)</td>
<td valign="middle" align="left">2015</td>
<td valign="middle" align="left">Malaysia</td>
<td valign="middle" align="left">205</td>
<td valign="middle" align="left">20+</td>
<td valign="middle" align="left">HADS</td>
<td valign="middle" align="left">45</td>
<td valign="middle" align="left">21.95</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BC patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Single timepoint survey during hospital visit.</td>
</tr>
<tr>
<td valign="middle" align="left">Shorofi (<xref ref-type="bibr" rid="B24">24</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Iran</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">18+</td>
<td valign="middle" align="left">BDI-II &amp; PSQI</td>
<td valign="middle" align="left">17</td>
<td valign="middle" align="left">14.17</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">non-metastatic unilateral<break/>breast cancer undergoing chemotherapy</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">During active chemotherapy (chemotherapy center); mean ~5.52 months after mastectomy.</td>
</tr>
<tr>
<td valign="middle" align="left">Sadaqa<break/>(<xref ref-type="bibr" rid="B26">26</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Palestine</td>
<td valign="middle" align="left">223</td>
<td valign="middle" align="left">30-70</td>
<td valign="middle" align="left">PHQ-9</td>
<td valign="middle" align="left">70</td>
<td valign="middle" align="left">31.39</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">BC patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Within 1 year after breast cancer diagnosis.</td>
</tr>
<tr>
<td valign="middle" align="left">Zhou (<xref ref-type="bibr" rid="B22">22</xref>)</td>
<td valign="middle" align="left">2011</td>
<td valign="middle" align="left">China</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">25-65</td>
<td valign="middle" align="left">ZSDS</td>
<td valign="middle" align="left">36</td>
<td valign="middle" align="left">30</td>
<td valign="middle" align="left">Clinical trial</td>
<td valign="middle" align="left">Breast Cancer Patients after Radical Mastectomy</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Multiple timepoints: 1 day pre-operation; 1 day before discharge; during 2nd and 3rd chemotherapy admissions.</td>
</tr>
<tr>
<td valign="middle" align="left">Farbood (<xref ref-type="bibr" rid="B25">25</xref>)</td>
<td valign="middle" align="left">2021</td>
<td valign="middle" align="left">Iran</td>
<td valign="middle" align="left">120</td>
<td valign="middle" align="left">25-65</td>
<td valign="middle" align="left">ZSDS</td>
<td valign="middle" align="left">17</td>
<td valign="middle" align="left">14.17</td>
<td valign="middle" align="left">Cross-sectional</td>
<td valign="middle" align="left">breast cancer patient scheduled for surgery</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Assessed before scheduled surgery (pre-surgery admission).</td>
</tr>
<tr>
<td valign="middle" align="left">Obeidat (<xref ref-type="bibr" rid="B11">11</xref>)</td>
<td valign="middle" align="left">2020</td>
<td valign="middle" align="left">Jordan</td>
<td valign="middle" align="left">49</td>
<td valign="middle" align="left">23-71</td>
<td valign="middle" align="left">DASS</td>
<td valign="middle" align="left">25</td>
<td valign="middle" align="left">51.02</td>
<td valign="middle" align="left">descriptive correlational survey</td>
<td valign="middle" align="left">unilateral early-stage breast cancer (Stages I&#x2013;II)</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Soqia (<xref ref-type="bibr" rid="B13">13</xref>)</td>
<td valign="middle" align="left">2022</td>
<td valign="middle" align="left">Syria</td>
<td valign="middle" align="left">164</td>
<td valign="middle" align="left">25+</td>
<td valign="middle" align="left">PHQ-2&amp;GAD-2</td>
<td valign="middle" align="left">73</td>
<td valign="middle" align="left">44.51</td>
<td valign="middle" align="left">Cross-sectional study</td>
<td valign="middle" align="left">BC patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Survey administered in the anticancer drug administration room at hospital.</td>
</tr>
<tr>
<td valign="middle" align="left">Luu (<xref ref-type="bibr" rid="B14">14</xref>)</td>
<td valign="middle" align="left">2024</td>
<td valign="middle" align="left">Vietnam</td>
<td valign="middle" align="left">301</td>
<td valign="middle" align="left">18+</td>
<td valign="middle" align="left">EQ-5D-5L</td>
<td valign="middle" align="left">119</td>
<td valign="middle" align="left">39.53</td>
<td valign="middle" align="left">Cross-sectional study</td>
<td valign="middle" align="left">HER2-positive breast cancer patients</td>
<td valign="middle" align="left">High</td>
<td valign="middle" align="left">Participants had received &gt;=3 treatment cycles before the interview.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3_2">
<title>Prevalence of depression among breast cancer patients in Asia</title>
<p>Due to significant heterogeneity (I&#xb2; = 99%, p &lt; 0.01), a random-effects model was employed to calculate the overall prevalence. The results indicated that the pooled prevalence of depression among breast cancer patients in Asia was 28% (95% CI: 0.20&#x2013;0.36) (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Prevalence of depression among breast cancer patients in Asia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g002.tif">
<alt-text content-type="machine-generated">Forest plot summarizing the prevalence of depression among breast cancer patients in Asia, showing study authors, country, depression and total cases, individual prevalence estimates with 95 percent confidence intervals, and a pooled estimate using a random effects model.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_3">
<title>Subgroup analysis</title>
<p>After confirming a significant rate of depression in Asian BC patients, we then moved on to explore potential factors that may influence these rates, namely differences in geography and treatment type. We first divided all cases into three regions: West, East, and Southeast Asia. The prevalence of depression among East Asian BC patients was slightly lower 19% (95% CI: 3%&#x2013;34%) (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>) than the other two groups: 31% (95% CI: 14%&#x2013;48%) (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B23">23</xref>) for Southeast Asia, and 32% (95% CI: 21%&#x2013;44%) for West Asia (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B24">24</xref>&#x2013;<xref ref-type="bibr" rid="B26">26</xref>) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>). However, this difference was only trending and did not reach significance (p &gt; 0.05) likely due to the large variability of the reported prevalence of depression. The study from South Korea (<xref ref-type="bibr" rid="B12">12</xref>) reported an exceptionally low prevalence of 3.71% (95% CI: 3.58%-3.83%), while Chinese ones (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B22">22</xref>) reported much higher rates (23% and 30%). This heterogeneity could be due to differences in cultural attitudes towards mental health (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>), access to healthcare (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>) and socio-economic factors (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B29">29</xref>) in these regions.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Subgroup analysis of pooled prevalence of depression among breast cancer patients by region.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g003.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the prevalence of depression in breast cancer patients in Asia, grouped by region and country, with proportions and confidence intervals for each study and overall prevalence at 0.28 with a 95 percent confidence interval of 0.20 to 0.36.</alt-text>
</graphic></fig>
<p>Additionally, one subtype analysis was performed to examine the impact of treatment modalities (chemotherapy, surgery, both, and no treatment) on depression rate. The pooled prevalence of depression was 28% (95% CI: 17%-40%) among patients receiving chemotherapy (<xref ref-type="bibr" rid="B12">12</xref>, <xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B24">24</xref>, <xref ref-type="bibr" rid="B26">26</xref>), also 28% (95% CI: 3%-53%) for those underwent surgery (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B26">26</xref>), and was a little lower, 23% (95% CI: 10%-36%) (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>), in patients who had received both chemotherapy and surgery. Patients who had not undergone treatment showed a slightly higher prevalence of 35% (95% CI: 21%-35%) (<xref ref-type="bibr" rid="B13">13</xref>, <xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B25">25</xref>). However, no statistically significant differences were detected across these subgroups (p &gt; 0.05) (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>), though these analyses had limited power due to the small number of studies in each category.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Subgroup analysis of pooled prevalence of depression among breast cancer patients by type of study participants.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g004.tif">
<alt-text content-type="machine-generated">Forest plot showing prevalence of depression in breast cancer patients in Asia across treatment types: chemotherapy, surgery, chemotherapy plus surgery, and pre-treatment, with subgroup and overall pooled proportions, confidence intervals, and sample sizes.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<title>Sensitivity analysis</title>
<p>To evaluate the robustness of the study findings, we conducted a sensitivity analysis using the leave-one-out method, wherein each study was sequentially excluded and the pooled effect size was recalculated. In all pooled results after exclusion, the effect sizes remained consistent, indicating that no single study had a significant impact on the overall results (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Sensitivity analysis of prevalence of depression among breast cancer patients in Asia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g005.tif">
<alt-text content-type="machine-generated">Forest plot showing summary proportions leaving out each study in a meta-analysis. Each row lists a study with a black square indicating summary proportion and horizontal lines representing confidence intervals, ranging from 0.26 to 0.31.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<title>Publication bias detection</title>
<p>We also assessed the potential for publication bias using funnel plots and Egger&#x2019;s test. Visual inspection of the funnel plot did not reveal significant asymmetry, but Egger&#x2019;s test argues against this with a p-value of 0.0018. To further investigate, we conducted a trim-and-fill analysis, which indicated that the overall results remained similar to the original pooled results after accounting for potentially unpublished literature. Therefore, the unpublished literature did not affect the conclusions of this study, demonstrating the robustness of the findings (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6</bold></xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Publication bias of prevalence of depression among breast cancer patients in Asia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g006.tif">
<alt-text content-type="machine-generated">Funnel plot displaying standard error on the y-axis versus proportion on the x-axis, with black dots representing observed studies and one open circle as an imputed study; a white triangular 95 percent confidence interval region is shown, with a grey background outside this region.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>Based on the present findings, the pooled prevalence of depression among breast cancer patients in Asia was 28%. This indicates that depression constitutes a significant and often underrecognized mental health burden in this population and should be integrated as a crucial component of comprehensive cancer care. However, subgroup analyses revealed differences in pooled prevalence rates across countries and treatment modalities, though these were not statistically significant and should be considered inconclusive due to the limited number of studies within each subgroup. This may be attributed to the limited number of relevant studies, resulting in insufficient statistical power to detect significant differences. On the other hand, it also suggests that, beyond geographical region and treatment modality, more complex socioeconomic and cultural factors collectively influence the risk of depression in breast cancer patients. Future research should consider examining patient coping mechanisms (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>), psychosocial support systems (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>), and economic factors (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B29">29</xref>), which may play more prominent roles in patients&#x2019; psychological well-being. Furthermore, it is crucial to note the extreme heterogeneity across studies (I&#xb2; = 99%). The reported prevalence ranged from 3.7% to 51%, and the 95% prediction interval was very wide. Consequently, the single pooled point estimate (28%) offers limited insight for individual patients across diverse Asian settings. Additionally, although the trim-and-fill analysis suggests robustness, the significant Egger&#x2019;s test indicates that our pooled estimate may be modestly inflated&#x2014;a common challenge in depression prevalence research. Therefore, interpretation should prioritize the observed range and prediction interval over the point estimate.</p>
<p>This study found that the pooled prevalence of depression in breast cancer patients is lower than previously reported global rates (32.2%) (<xref ref-type="bibr" rid="B17">17</xref>) and rates in sub-Saharan Africa (45.6%) (<xref ref-type="bibr" rid="B33">33</xref>), but higher than those reported in the Americas (25.1%) and Europe (27.2%) (<xref ref-type="bibr" rid="B17">17</xref>). These disparities may primarily stem from differences in healthcare expenditure, socio-cultural attitudes (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>), economic status (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B29">29</xref>), and accessibility of healthcare services (<xref ref-type="bibr" rid="B30">30</xref>&#x2013;<xref ref-type="bibr" rid="B32">32</xref>). In regions with well-funded and accessible healthcare systems, such as South Korea (<xref ref-type="bibr" rid="B10">10</xref>), the prevalence of depression was notably lower (4%). It is important to note that the study by Heo et&#xa0;al. relied on ICD codes to identify depression, which likely captures only diagnosed or treated cases, thereby underestimating the true burden. In contrast, screening scales are more sensitive. Therefore, this low prevalence is more likely attributable to methodological differences rather than a true regional variation. This lower rate may also benefit from easier access to mental healthcare, earlier diagnosis, and more robust support systems. Consistent with this hypothesis, depression prevalence was higher in countries with lower healthcare expenditure and underdeveloped infrastructure, such as parts of West Asia (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B25">25</xref>). Furthermore, socio-cultural attitudes towards mental health vary greatly across Asia, influencing the recognition and reporting of depressive symptoms. For instance, a longitudinal study among Chinese breast cancer patients indicated a significant prevalence of fear of cancer recurrence, which was positively associated with concurrent symptoms of depression and anxiety (<xref ref-type="bibr" rid="B29">29</xref>). This suggests that psychological distress, including depressive symptoms, is a salient and recognized experience in this cultural context, potentially influencing how distress is expressed and reported in clinical settings. In some cultural contexts, patients may tend to express psychological distress through somatic symptoms rather than emotional distress, leading to under-recognition of depression.</p>
<p>In low-income regions, breast cancer patients often face a heavy economic burden, which not only affects their treatment outcomes but also significantly increases their risk of developing depression (<xref ref-type="bibr" rid="B23">23</xref>). Breast cancer treatment typically requires long-term medical interventions, including surgery, radiotherapy, chemotherapy, and prolonged medication, all of which can be prohibitively expensive in low-income countries (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). Due to limited healthcare expenditure and underdeveloped public health infrastructure in these regions, many patients struggle to access necessary treatments, leading to disease progression and exacerbated psychological distress (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). Additionally, patients in low-income areas often bear high costs related to transportation and accommodation, further intensifying their financial pressure (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The lack of a robust social security system prevents patients from receiving adequate financial support, which is another reason for the observed higher prevalence of depression in these populations.</p>
<p>To address these challenges, governments and non-governmental organizations must collaborate to establish and expand financial assistance programs to help breast cancer patients cover treatment costs. Strengthening primary healthcare systems to improve early diagnosis and treatment accessibility is also crucial, as this can reduce the overall cost burden associated with late-stage cancer treatment (<xref ref-type="bibr" rid="B38">38</xref>). In resource-limited settings, priority can be given to low-cost, scalable interventions, such as psychological screening, brief psychological interventions, peer support programs, or community-based support networks implemented by primary healthcare workers. Furthermore, increasing public awareness and education about breast cancer and its psychological impact can help reduce the stigma associated with the disease and mental health issues. Establishing patient support groups and providing psychological counseling services are essential for offering the emotional support patients need to cope with the challenges of the disease. Secondly, psycho-oncology services have not been systematically integrated into standard oncology care pathways in many Asian countries. The shortage of dedicated mental health professionals and unclear referral pathways may further limit the identification and intervention of depression in breast cancer patients. In summary, comprehensive intervention strategies targeting the economic burden on breast cancer patients in low-income regions, and integrating mental health assessment and intervention throughout the breast cancer care pathway (e.g., at diagnosis, during treatment, and at follow-up), are crucial for achieving a patient-centered comprehensive oncology care model and for improving their quality of life and mental health outcomes.</p>
<p>From a clinical practice perspective, the findings of this study suggest that the focus of integrating psychological care lies not merely in whether depression screening is conducted, but in <italic>how</italic> it is conducted and the subsequent linkage to care pathways. Given the limited and uneven distribution of mental health resources in many Asian countries, relying solely on referrals to psychiatric specialists may be impractical. In contrast, embedding brief psychosocial assessment tools into routine oncology workflows (e.g., at initial diagnosis, treatment transition points, or follow-up) and training oncology nurses or primary healthcare workers to recognize psychological distress may be a more feasible strategy. Particularly in regions with heavy economic burdens or fragmented support systems, ensuring that positive screening results are linked to accessible support resources (such as peer support, basic psychological interventions, or community-based projects) may improve patient mental health outcomes more effectively than simply increasing the screening rate.</p>
<p>Although this study is one of the earliest systematic assessments of the prevalence of depression among breast cancer patients in Asia, it is not without limitations. First, our search strategy was restricted to literature in English and Chinese, which may have led to the omission of relevant studies published in other local Asian languages (e.g., Korean, Japanese, Arabic), thereby introducing language bias. Considering that significant research findings in resource-limited settings are often published in local languages, this bias may create uncertainty in our overall prevalence estimate. Second, the sample size was relatively limited, and the geographical distribution was uneven, particularly due to a lack of data from countries with less developed healthcare systems (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7</bold></xref>). This limitation may restrict the generalizability of our findings to the broader Asian context. Furthermore, the sample was primarily drawn from countries with more advanced medical infrastructure, which may have led to an overestimation of the prevalence, as these countries typically offer more extensive mental health support services. Moreover, this study did not account for breast cancer stage. Given the established link between disease severity and mental health outcomes, stage likely significantly influences depression prevalence. Additionally, due to missing data, we were unable to perform subgroup analyses based on age, income level, or education level, which limits our ability to fully explore the impact of these socioeconomic factors on depression prevalence. Future research should consider including larger, more homogeneous samples within each treatment category and explore other factors that may more profoundly influence depression outcomes, such as socioeconomic status, mental health service accessibility, and cultural differences. Furthermore, based on the relatively high prevalence of depression found in this study, it is recommended to implement routine depression screening for breast cancer patients in Asia. Priority can be given to tools already validated in Asian populations, such as the PHQ-9, HADS, or CES-D, using culturally validated cut-off values to improve the accuracy of depression identification.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Prevalence map of depression in breast cancer patients in Asia.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fonc-16-1665569-g007.tif">
<alt-text content-type="machine-generated">Choropleth map of Asia showing country-level prevalence of depression in breast cancer patients. Highlighted countries with data include Jordan at 51.02%, Syria at 44.51%, China at 42.86% (pooled estimate of two studies), Vietnam at 39.53%, Palestine at 31.39%, Malaysia at 21.95%, Oman at 16.96%, Iran at 14.17% (pooled estimate of two studies), and South Korea at 3.71%. Countries without data are shaded grey. Legend included for data presence.</alt-text>
</graphic></fig>
</sec>
</body>
<back>
<sec id="s5" 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="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>WM: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XD: Conceptualization, Data curation, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. XW: Data curation, Formal Analysis, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing.</p></sec>
<sec id="s8" 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="s9" 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="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ferlay</surname> <given-names>J</given-names></name>
<name><surname>Soerjomataram</surname> <given-names>I</given-names></name>
<name><surname>Dikshit</surname> <given-names>R</given-names></name>
<name><surname>Eser</surname> <given-names>S</given-names></name>
<name><surname>Mathers</surname> <given-names>C</given-names></name>
<name><surname>Rebelo</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012</article-title>. <source>Int J cancer</source>. (<year>2015</year>) <volume>136</volume>:<page-range>E359&#x2013;E86</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/ijc.29210</pub-id>, PMID: <pub-id pub-id-type="pmid">25220842</pub-id>
</mixed-citation>
</ref>
<ref id="B2">
<label>2</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Massie</surname> <given-names>MJ</given-names></name>
</person-group>. 
<article-title>Prevalence of depression in patients with cancer</article-title>. <source>JNCI Monographs</source>. (<year>2004</year>) <volume>2004</volume>:<fpage>57</fpage>&#x2013;<lpage>71</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1093/jncimonographs/lgh014</pub-id>, PMID: <pub-id pub-id-type="pmid">15263042</pub-id>
</mixed-citation>
</ref>
<ref id="B3">
<label>3</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Walker</surname> <given-names>J</given-names></name>
<name><surname>Hansen</surname> <given-names>CH</given-names></name>
<name><surname>Martin</surname> <given-names>P</given-names></name>
<name><surname>Symeonides</surname> <given-names>S</given-names></name>
<name><surname>Ramessur</surname> <given-names>R</given-names></name>
<name><surname>Murray</surname> <given-names>G</given-names></name>
<etal/>
</person-group>. 
<article-title>Prevalence, associations, and adequacy of treatment of major depression in patients with cancer: a cross-sectional analysis of routinely collected clinical data</article-title>. <source>Lancet Psychiatry</source>. (<year>2014</year>) <volume>1</volume>:<page-range>343&#x2013;50</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/S2215-0366(14)70313-X</pub-id>, PMID: <pub-id pub-id-type="pmid">26360998</pub-id>
</mixed-citation>
</ref>
<ref id="B4">
<label>4</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hjerl</surname> <given-names>K</given-names></name>
<name><surname>Andersen</surname> <given-names>EW</given-names></name>
<name><surname>Keiding</surname> <given-names>N</given-names></name>
<name><surname>Mouridsen</surname> <given-names>HT</given-names></name>
<name><surname>Mortensen</surname> <given-names>PB</given-names></name>
<name><surname>J&#xf8;rgensen</surname> <given-names>T</given-names></name>
</person-group>. 
<article-title>Depression as a prognostic factor for breast cancer mortality</article-title>. <source>Psychosomatics</source>. (<year>2003</year>) <volume>44</volume>:<fpage>24</fpage>&#x2013;<lpage>30</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1176/appi.psy.44.1.24</pub-id>, PMID: <pub-id pub-id-type="pmid">12515834</pub-id>
</mixed-citation>
</ref>
<ref id="B5">
<label>5</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Burgess</surname> <given-names>C</given-names></name>
<name><surname>Cornelius</surname> <given-names>V</given-names></name>
<name><surname>Love</surname> <given-names>S</given-names></name>
<name><surname>Graham</surname> <given-names>J</given-names></name>
<name><surname>Richards</surname> <given-names>M</given-names></name>
<name><surname>Ramirez</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>Depression and anxiety in women with early breast cancer: five year observational cohort study</article-title>. <source>Bmj</source>. (<year>2005</year>) <volume>330</volume>:<fpage>702</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.38343.670868.D3</pub-id>, PMID: <pub-id pub-id-type="pmid">15695497</pub-id>
</mixed-citation>
</ref>
<ref id="B6">
<label>6</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Fann</surname> <given-names>JR</given-names></name>
<name><surname>Thomas-Rich</surname> <given-names>AM</given-names></name>
<name><surname>Katon</surname> <given-names>WJ</given-names></name>
<name><surname>Cowley</surname> <given-names>D</given-names></name>
<name><surname>Pepping</surname> <given-names>M</given-names></name>
<name><surname>McGregor</surname> <given-names>BA</given-names></name>
<etal/>
</person-group>. 
<article-title>Major depression after breast cancer: a review of epidemiology and treatment</article-title>. <source>Gen Hosp Psychiatry</source>. (<year>2008</year>) <volume>30</volume>:<page-range>112&#x2013;26</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.genhosppsych.2007.10.008</pub-id>, PMID: <pub-id pub-id-type="pmid">18291293</pub-id>
</mixed-citation>
</ref>
<ref id="B7">
<label>7</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kissane</surname> <given-names>DW</given-names></name>
<name><surname>Grabsch</surname> <given-names>B</given-names></name>
<name><surname>Love</surname> <given-names>A</given-names></name>
<name><surname>Clarke</surname> <given-names>DM</given-names></name>
<name><surname>Bloch</surname> <given-names>S</given-names></name>
<name><surname>Smith</surname> <given-names>GC</given-names></name>
</person-group>. 
<article-title>Psychiatric disorder in women with early stage and advanced breast cancer: a comparative analysis</article-title>. <source>Aust New Z J Psychiatry</source>. (<year>2004</year>) <volume>38</volume>:<page-range>320&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/j.1440-1614.2004.01358.x</pub-id>, PMID: <pub-id pub-id-type="pmid">15144508</pub-id>
</mixed-citation>
</ref>
<ref id="B8">
<label>8</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Bower</surname> <given-names>JE</given-names></name>
</person-group>. 
<article-title>Behavioral symptoms in patients with breast cancer and survivors</article-title>. <source>J Clin Oncol</source>. (<year>2008</year>) <volume>26</volume>:<page-range>768&#x2013;77</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1200/JCO.2007.14.3248</pub-id>, PMID: <pub-id pub-id-type="pmid">18258985</pub-id>
</mixed-citation>
</ref>
<ref id="B9">
<label>9</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Linden</surname> <given-names>W</given-names></name>
<name><surname>Vodermaier</surname> <given-names>A</given-names></name>
<name><surname>MacKenzie</surname> <given-names>R</given-names></name>
<name><surname>Greig</surname> <given-names>D</given-names></name>
</person-group>. 
<article-title>Anxiety and depression after cancer diagnosis: prevalence rates by cancer type, gender, and age</article-title>. <source>J Affect Disord</source>. (<year>2012</year>) <volume>141</volume>:<page-range>343&#x2013;51</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jad.2012.03.025</pub-id>, PMID: <pub-id pub-id-type="pmid">22727334</pub-id>
</mixed-citation>
</ref>
<ref id="B10">
<label>10</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Heo</surname> <given-names>J</given-names></name>
<name><surname>Chun</surname> <given-names>M</given-names></name>
<name><surname>Oh</surname> <given-names>Y-T</given-names></name>
<name><surname>Noh</surname> <given-names>OK</given-names></name>
<name><surname>Kim</surname> <given-names>L</given-names></name>
</person-group>. 
<article-title>Psychiatric comorbidities among breast cancer survivors in South Korea: a nationwide population-based study</article-title>. <source>Breast Cancer Res Treat</source>. (<year>2017</year>) <volume>162</volume>:<page-range>151&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10549-016-4097-0</pub-id>, PMID: <pub-id pub-id-type="pmid">28062982</pub-id>
</mixed-citation>
</ref>
<ref id="B11">
<label>11</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Obeidat</surname> <given-names>RF</given-names></name>
<name><surname>Masri</surname> <given-names>MA</given-names></name>
<name><surname>Marzouq</surname> <given-names>M</given-names></name>
</person-group>. 
<article-title>Factors affecting Jordanian women&#x2019;s surgical treatment decisions for early-stage breast cancer</article-title>. <source>Asia-Pacific J Oncol Nursing</source>. (<year>2021</year>) <volume>8</volume>:<page-range>711&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.4103/apjon.apjon-20105</pub-id>, PMID: <pub-id pub-id-type="pmid">34790855</pub-id>
</mixed-citation>
</ref>
<ref id="B12">
<label>12</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Li</surname> <given-names>W</given-names></name>
<name><surname>Zhang</surname> <given-names>Q</given-names></name>
<name><surname>Xu</surname> <given-names>Y</given-names></name>
<name><surname>Sun</surname> <given-names>H</given-names></name>
<name><surname>Wen</surname> <given-names>Y</given-names></name>
<name><surname>Xu</surname> <given-names>W</given-names></name>
<etal/>
</person-group>. 
<article-title>Group-based trajectory and predictors of anxiety and depression among Chinese breast cancer patients</article-title>. <source>Front Public Health</source>. (<year>2022</year>) <volume>10</volume>:<elocation-id>1002341</elocation-id>. doi:&#xa0;<pub-id pub-id-type="doi">10.3389/fpubh.2022.1002341</pub-id>, PMID: <pub-id pub-id-type="pmid">36299758</pub-id>
</mixed-citation>
</ref>
<ref id="B13">
<label>13</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Soqia</surname> <given-names>J</given-names></name>
<name><surname>Al-Shafie</surname> <given-names>M</given-names></name>
<name><surname>Agha</surname> <given-names>LY</given-names></name>
<name><surname>Alameer</surname> <given-names>MB</given-names></name>
<name><surname>Alhomsi</surname> <given-names>D</given-names></name>
<name><surname>Saadoun</surname> <given-names>R</given-names></name>
<etal/>
</person-group>. 
<article-title>Depression, anxiety and related factors among Syrian breast cancer patients: a cross-sectional study</article-title>. <source>BMC Psychiatry</source>. (<year>2022</year>) <volume>22</volume>:<fpage>796</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12888-022-04469-y</pub-id>, PMID: <pub-id pub-id-type="pmid">36528568</pub-id>
</mixed-citation>
</ref>
<ref id="B14">
<label>14</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Luu</surname> <given-names>TNN</given-names></name>
<name><surname>Dinh</surname> <given-names>DX</given-names></name>
<name><surname>Tran</surname> <given-names>TX</given-names></name>
<name><surname>Tran</surname> <given-names>TB</given-names></name>
<name><surname>Tran</surname> <given-names>HT</given-names></name>
<name><surname>Pham</surname> <given-names>KHT</given-names></name>
<etal/>
</person-group>. 
<article-title>Health-state utility of patients with HER2-positive breast cancer in Vietnam: A multicenter cross-sectional study</article-title>. <source>PloS One</source>. (<year>2024</year>) <volume>19</volume>:<fpage>e0303011</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1371/journal.pone.0303011</pub-id>, PMID: <pub-id pub-id-type="pmid">38743717</pub-id>
</mixed-citation>
</ref>
<ref id="B15">
<label>15</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zainal</surname> <given-names>NZ</given-names></name>
<name><surname>Nik-Jaafar</surname> <given-names>NR</given-names></name>
<name><surname>Baharudin</surname> <given-names>A</given-names></name>
<name><surname>Sabki</surname> <given-names>ZA</given-names></name>
<name><surname>Ng</surname> <given-names>CG</given-names></name>
</person-group>. 
<article-title>Prevalence of depression in breast cancer survivors: a systematic review of observational studies</article-title>. <source>Asian Pacific J Cancer Prev</source>. (<year>2013</year>) <volume>14</volume>:<page-range>2649&#x2013;56</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7314/APJCP.2013.14.4.2649</pub-id>, PMID: <pub-id pub-id-type="pmid">23725190</pub-id>
</mixed-citation>
</ref>
<ref id="B16">
<label>16</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Lu</surname> <given-names>D</given-names></name>
<name><surname>Andersson</surname> <given-names>TM</given-names></name>
<name><surname>Fall</surname> <given-names>K</given-names></name>
<name><surname>Hultman</surname> <given-names>CM</given-names></name>
<name><surname>Czene</surname> <given-names>K</given-names></name>
<name><surname>Valdimarsd&#xf3;ttir</surname> <given-names>U</given-names></name>
<etal/>
</person-group>. 
<article-title>Clinical diagnosis of mental disorders immediately before and after cancer diagnosis: a nationwide matched cohort study in Sweden</article-title>. <source>JAMA Oncol</source>. (<year>2016</year>) <volume>2</volume>:<page-range>1188&#x2013;96</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1001/jamaoncol.2016.0483</pub-id>, PMID: <pub-id pub-id-type="pmid">27124325</pub-id>
</mixed-citation>
</ref>
<ref id="B17">
<label>17</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Pilevarzadeh</surname> <given-names>M</given-names></name>
<name><surname>Amirshahi</surname> <given-names>M</given-names></name>
<name><surname>Afsargharehbagh</surname> <given-names>R</given-names></name>
<name><surname>Rafiemanesh</surname> <given-names>H</given-names></name>
<name><surname>Hashemi</surname> <given-names>S-M</given-names></name>
<name><surname>Balouchi</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>Global prevalence of depression among breast cancer patients: a systematic review and meta-analysis</article-title>. <source>Breast Cancer Res Treat</source>. (<year>2019</year>) <volume>176</volume>:<page-range>519&#x2013;33</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s10549-019-05271-3</pub-id>, PMID: <pub-id pub-id-type="pmid">31087199</pub-id>
</mixed-citation>
</ref>
<ref id="B18">
<label>18</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Martinez-Calderon</surname> <given-names>J</given-names></name>
<name><surname>Garc&#xed;a-Mu&#xf1;oz</surname> <given-names>C</given-names></name>
<name><surname>Heredia-Rizo</surname> <given-names>AM</given-names></name>
<name><surname>Cano-Garcia</surname> <given-names>FJ</given-names></name>
</person-group>. 
<article-title>The prevalence of anxiety and depression in cancer around the world: an overview of systematic reviews evaluating 128 meta-analyses</article-title>. <source>J Affect Disord</source>. (<year>2024</year>) <volume>351</volume>:<page-range>701&#x2013;19</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jad.2024.01.259</pub-id>, PMID: <pub-id pub-id-type="pmid">38311072</pub-id>
</mixed-citation>
</ref>
<ref id="B19">
<label>19</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Guyatt</surname> <given-names>GH</given-names></name>
<name><surname>Oxman</surname> <given-names>AD</given-names></name>
<name><surname>Vist</surname> <given-names>GE</given-names></name>
<name><surname>Kunz</surname> <given-names>R</given-names></name>
<name><surname>Falck-Ytter</surname> <given-names>Y</given-names></name>
<name><surname>Alonso-Coello</surname> <given-names>P</given-names></name>
<etal/>
</person-group>. 
<article-title>GRADE: an emerging consensus on rating quality of evidence and strength of recommendations</article-title>. <source>Bmj</source>. (<year>2008</year>) <volume>336</volume>:<page-range>924&#x2013;6</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmj.39489.470347.AD</pub-id>, PMID: <pub-id pub-id-type="pmid">18436948</pub-id>
</mixed-citation>
</ref>
<ref id="B20">
<label>20</label>
<mixed-citation publication-type="web"><source>Critical appraisal tools</source> (<year>2024</year>). Available online at: <uri xlink:href="https://jbi.global/critical-appraisal-tools">https://jbi.global/critical-appraisal-tools</uri> (Accessed <date-in-citation content-type="access-date">June 10, 2024</date-in-citation>).
</mixed-citation>
</ref>
<ref id="B21">
<label>21</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Al-Fahdi</surname> <given-names>A</given-names></name>
<name><surname>Chan</surname> <given-names>MF</given-names></name>
<name><surname>Al-Siyabi</surname> <given-names>W</given-names></name>
<name><surname>Al-Yafai</surname> <given-names>E</given-names></name>
<name><surname>Al-Khatri</surname> <given-names>M</given-names></name>
<name><surname>Al-Azri</surname> <given-names>M</given-names></name>
</person-group>. 
<article-title>Prevalence of psychological distress and associated factors among Omani women diagnosed with breast cancer: a single-centre, cross-sectional study</article-title>. <source>BMJ Open</source>. (<year>2023</year>) <volume>13</volume>:<fpage>e073967</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1136/bmjopen-2023-073967</pub-id>, PMID: <pub-id pub-id-type="pmid">37734894</pub-id>
</mixed-citation>
</ref>
<ref id="B22">
<label>22</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Zhou</surname> <given-names>KN</given-names></name>
<name><surname>Li</surname> <given-names>XM</given-names></name>
<name><surname>Yan</surname> <given-names>H</given-names></name>
<name><surname>Dang</surname> <given-names>SN</given-names></name>
<name><surname>Wang</surname> <given-names>DL</given-names></name>
</person-group>. 
<article-title>Effects of music therapy on depression and duration of hospital stay of breast cancer patients after radical mastectomy</article-title>. <source>Chin Med J (Engl)</source>. (<year>2011</year>) <volume>124</volume>:<page-range>2321&#x2013;7</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.3760/cma.j.issn.0366-6999.2011.15.014</pub-id>, PMID: <pub-id pub-id-type="pmid">40668938</pub-id>
</mixed-citation>
</ref>
<ref id="B23">
<label>23</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Hassan</surname> <given-names>MR</given-names></name>
<name><surname>Shah</surname> <given-names>SA</given-names></name>
<name><surname>Ghazi</surname> <given-names>HF</given-names></name>
<name><surname>Mujar</surname> <given-names>NMM</given-names></name>
<name><surname>Samsuri</surname> <given-names>MF</given-names></name>
<name><surname>Baharom</surname> <given-names>N</given-names></name>
</person-group>. 
<article-title>Anxiety and depression among breast cancer patients in an urban setting in Malaysia</article-title>. <source>Asian Pacific J Cancer Prev</source>. (<year>2015</year>) <volume>16</volume>:<page-range>4031&#x2013;5</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.7314/APJCP.2015.16.9.4031</pub-id>, PMID: <pub-id pub-id-type="pmid">25987081</pub-id>
</mixed-citation>
</ref>
<ref id="B24">
<label>24</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Shorofi</surname> <given-names>SA</given-names></name>
<name><surname>Nozari-Mirarkolaei</surname> <given-names>F</given-names></name>
<name><surname>Arbon</surname> <given-names>P</given-names></name>
<name><surname>Bagheri-Nesamie</surname> <given-names>M</given-names></name>
</person-group>. 
<article-title>Depression and sleep quality among Iranian women with breast cancer</article-title>. <source>Asian Pacific J Cancer Prevention: APJCP</source>. (<year>2021</year>) <volume>22</volume>:<fpage>3433</fpage>&#x2013;<lpage>40</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.31557/APJCP.2021.22.11.3433</pub-id>, PMID: <pub-id pub-id-type="pmid">34837896</pub-id>
</mixed-citation>
</ref>
<ref id="B25">
<label>25</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Farbood</surname> <given-names>A</given-names></name>
<name><surname>Sahmeddini</surname> <given-names>MA</given-names></name>
<name><surname>Bayat</surname> <given-names>S</given-names></name>
<name><surname>Karami</surname> <given-names>N</given-names></name>
</person-group>. 
<article-title>The effect of preoperative depression and anxiety on heart rate variability in women with breast cancer</article-title>. <source>Breast Cancer</source>. (<year>2020</year>) <volume>27</volume>:<page-range>912&#x2013;8</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s12282-020-01087-y</pub-id>, PMID: <pub-id pub-id-type="pmid">32266603</pub-id>
</mixed-citation>
</ref>
<ref id="B26">
<label>26</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Sadaqa</surname> <given-names>D</given-names></name>
<name><surname>Farraj</surname> <given-names>A</given-names></name>
<name><surname>Naseef</surname> <given-names>H</given-names></name>
<name><surname>Alsaid</surname> <given-names>H</given-names></name>
<name><surname>Al-Shami</surname> <given-names>N</given-names></name>
<name><surname>AbuKhalil</surname> <given-names>AD</given-names></name>
</person-group>. 
<article-title>Risk of developing depression among breast cancer patients in Palestine</article-title>. <source>BMC cancer</source>. (<year>2022</year>) <volume>22</volume>:<fpage>295</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1186/s12885-022-09420-8</pub-id>, PMID: <pub-id pub-id-type="pmid">35313833</pub-id>
</mixed-citation>
</ref>
<ref id="B27">
<label>27</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Riganti</surname> <given-names>P</given-names></name>
<name><surname>Yanzi</surname> <given-names>MVR</given-names></name>
<name><surname>Liquitay</surname> <given-names>CME</given-names></name>
<name><surname>Sgarbossa</surname> <given-names>NJ</given-names></name>
<name><surname>Alarcon-Ruiz</surname> <given-names>CA</given-names></name>
<name><surname>Kopitowski</surname> <given-names>KS</given-names></name>
<etal/>
</person-group>. 
<article-title>Shared decision-making for supporting women&#x2019;s decisions about breast cancer screening</article-title>. <source>Cochrane Database systematic Rev</source>. (<year>2024</year>) <volume>5</volume>:<fpage>CD013822</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/14651858.CD013822.pub2</pub-id>, PMID: <pub-id pub-id-type="pmid">38726892</pub-id>
</mixed-citation>
</ref>
<ref id="B28">
<label>28</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yamada</surname> <given-names>A-M</given-names></name>
<name><surname>Brekke</surname> <given-names>JS</given-names></name>
</person-group>. 
<article-title>Addressing mental health disparities through clinical competence not just cultural competence: The need for assessment of sociocultural issues in the delivery of evidence-based psychosocial rehabilitation services</article-title>. <source>Clin Psychol Review</source>. (<year>2008</year>) <volume>28</volume>:<page-range>1386&#x2013;99</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.cpr.2008.07.006</pub-id>, PMID: <pub-id pub-id-type="pmid">18778881</pub-id>
</mixed-citation>
</ref>
<ref id="B29">
<label>29</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Yang</surname> <given-names>Y</given-names></name>
<name><surname>Qi</surname> <given-names>H</given-names></name>
<name><surname>Li</surname> <given-names>W</given-names></name>
<name><surname>Liu</surname> <given-names>T</given-names></name>
<name><surname>Xu</surname> <given-names>W</given-names></name>
<name><surname>Zhao</surname> <given-names>S</given-names></name>
<etal/>
</person-group>. 
<article-title>Predictors and trajectories of fear of cancer recurrence in Chinese breast cancer patients</article-title>. <source>J Psychosomatic Res</source>. (<year>2023</year>) <volume>166</volume>:<fpage>111177</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.jpsychores.2023.111177</pub-id>, PMID: <pub-id pub-id-type="pmid">36739729</pub-id>
</mixed-citation>
</ref>
<ref id="B30">
<label>30</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Joulaei</surname> <given-names>H</given-names></name>
<name><surname>Parhizkar</surname> <given-names>M</given-names></name>
<name><surname>Fatemi</surname> <given-names>M</given-names></name>
<name><surname>Afrashteh</surname> <given-names>S</given-names></name>
<name><surname>Parhizkar</surname> <given-names>P</given-names></name>
<name><surname>Akrami</surname> <given-names>M</given-names></name>
<etal/>
</person-group>. 
<article-title>Mental health care utilization and its barriers among Iranian breast cancer survivors: A cross-sectional study</article-title>. <source>Int J Community Based Nurs Midwifery</source>. (<year>2024</year>) <volume>12</volume>:<fpage>44</fpage>&#x2013;<lpage>56</lpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.30476/IJCBNM.2023.99133.2289</pub-id>, PMID: <pub-id pub-id-type="pmid">38328011</pub-id>
</mixed-citation>
</ref>
<ref id="B31">
<label>31</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Cordova-Marks</surname> <given-names>FM</given-names></name>
<name><surname>Valencia</surname> <given-names>C</given-names></name>
<name><surname>Badger</surname> <given-names>TA</given-names></name>
<name><surname>Segrin</surname> <given-names>C</given-names></name>
<name><surname>Sikorskii</surname> <given-names>A</given-names></name>
</person-group>. 
<article-title>Depression among underserved rural and urban caregivers of Latinas with breast cancer</article-title>. <source>J Hum Behav Soc Environment</source>. (<year>2023</year>) <volume>33</volume>:<page-range>450&#x2013;64</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1080/10911359.2022.2062516</pub-id>, PMID: <pub-id pub-id-type="pmid">37082709</pub-id>
</mixed-citation>
</ref>
<ref id="B32">
<label>32</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Roberson</surname> <given-names>PN</given-names></name>
<name><surname>Cortez</surname> <given-names>G</given-names></name>
<name><surname>Freeman</surname> <given-names>T</given-names></name>
<name><surname>Lloyd</surname> <given-names>J</given-names></name>
<name><surname>Tasman</surname> <given-names>J</given-names></name>
<name><surname>Woods</surname> <given-names>SB</given-names></name>
</person-group>. 
<article-title>Relationship quality and psychophysiological distress for underserved breast cancer patients and their caregiver before treatment</article-title>. <source>Psycho-Oncology</source>. (<year>2022</year>) <volume>31</volume>:<page-range>1904&#x2013;12</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/pon.6035</pub-id>, PMID: <pub-id pub-id-type="pmid">36116101</pub-id>
</mixed-citation>
</ref>
<ref id="B33">
<label>33</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Mohammed</surname> <given-names>A</given-names></name>
<name><surname>Melak</surname> <given-names>D</given-names></name>
<name><surname>Demeke Bayou</surname> <given-names>F</given-names></name>
<name><surname>Yasin</surname> <given-names>H</given-names></name>
<name><surname>Zerga</surname> <given-names>AA</given-names></name>
<name><surname>Wagaye</surname> <given-names>B</given-names></name>
<etal/>
</person-group>. 
<article-title>Prevalence and associated factors of depression among breast cancer patients in Sub-Saharan Africa: A systematic review and meta-analysis</article-title>. <source>SAGE Open Med</source>. (<year>2024</year>) <volume>12</volume>:<fpage>20503121241226897</fpage>. doi:&#xa0;<pub-id pub-id-type="doi">10.1177/20503121241226897</pub-id>, PMID: <pub-id pub-id-type="pmid">38292418</pub-id>
</mixed-citation>
</ref>
<ref id="B34">
<label>34</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Grunfeld</surname> <given-names>E</given-names></name>
<name><surname>Coyle</surname> <given-names>D</given-names></name>
<name><surname>Whelan</surname> <given-names>T</given-names></name>
<name><surname>Clinch</surname> <given-names>J</given-names></name>
<name><surname>Reyno</surname> <given-names>L</given-names></name>
<name><surname>Earle</surname> <given-names>CC</given-names></name>
<etal/>
</person-group>. 
<article-title>Family caregiver burden: results of a longitudinal study of breast cancer patients and their principal caregivers</article-title>. <source>Cmaj</source>. (<year>2004</year>) <volume>170</volume>:<page-range>1795&#x2013;801</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1503/cmaj.1031205</pub-id>, PMID: <pub-id pub-id-type="pmid">15184333</pub-id>
</mixed-citation>
</ref>
<ref id="B35">
<label>35</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Kale</surname> <given-names>HP</given-names></name>
<name><surname>Carroll</surname> <given-names>NV</given-names></name>
</person-group>. 
<article-title>Self-reported financial burden of cancer care and its effect on physical and mental health-related quality of life among US cancer survivors</article-title>. <source>Cancer</source>. (<year>2016</year>) <volume>122</volume>:<page-range>283&#x2013;9</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1002/cncr.29808</pub-id>, PMID: <pub-id pub-id-type="pmid">26991528</pub-id>
</mixed-citation>
</ref>
<ref id="B36">
<label>36</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Ecclestone</surname> <given-names>C</given-names></name>
<name><surname>Chow</surname> <given-names>R</given-names></name>
<name><surname>Pulenzas</surname> <given-names>N</given-names></name>
<name><surname>Zhang</surname> <given-names>L</given-names></name>
<name><surname>Leahey</surname> <given-names>A</given-names></name>
<name><surname>Hamer</surname> <given-names>J</given-names></name>
<etal/>
</person-group>. 
<article-title>Quality of life and symptom burden in patients with metastatic breast cancer</article-title>. <source>Supportive Care Cancer</source>. (<year>2016</year>) <volume>24</volume>:<page-range>4035&#x2013;43</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00520-016-3217-z</pub-id>, PMID: <pub-id pub-id-type="pmid">27129843</pub-id>
</mixed-citation>
</ref>
<ref id="B37">
<label>37</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>McFarland</surname> <given-names>DC</given-names></name>
<name><surname>Shaffer</surname> <given-names>KM</given-names></name>
<name><surname>Tiersten</surname> <given-names>A</given-names></name>
<name><surname>Holland</surname> <given-names>J</given-names></name>
</person-group>. 
<article-title>Physical symptom burden and its association with distress, anxiety, and depression in breast cancer</article-title>. <source>Psychosomatics</source>. (<year>2018</year>) <volume>59</volume>:<page-range>464&#x2013;71</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1016/j.psym.2018.01.005</pub-id>, PMID: <pub-id pub-id-type="pmid">29525522</pub-id>
</mixed-citation>
</ref>
<ref id="B38">
<label>38</label>
<mixed-citation publication-type="journal">
<person-group person-group-type="author">
<name><surname>Okati-Aliabad</surname> <given-names>H</given-names></name>
<name><surname>Ansari-Moghadam</surname> <given-names>A</given-names></name>
<name><surname>Mohammadi</surname> <given-names>M</given-names></name>
<name><surname>Kargar</surname> <given-names>S</given-names></name>
<name><surname>Shahraki-Sanavi</surname> <given-names>F</given-names></name>
</person-group>. 
<article-title>The prevalence of anxiety and depression and its association with coping strategies, supportive care needs, and social support among women with breast cancer</article-title>. <source>Supportive Care cancer</source>. (<year>2022</year>) <volume>30</volume>:<page-range>703&#x2013;10</page-range>. doi:&#xa0;<pub-id pub-id-type="doi">10.1007/s00520-021-06477-2</pub-id>, PMID: <pub-id pub-id-type="pmid">34365523</pub-id>
</mixed-citation>
</ref>
</ref-list>
<fn-group>
<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3175252">Ying Chen</ext-link>, New York State Psychiatric Institute (NYSPI), United States</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1780462">Ahmed H. Assar</ext-link>, Hamad Medical Corporation, Qatar</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3137433">Feitong Lei</ext-link>, University of Kentucky, United States</p></fn>
</fn-group>
</back>
</article>