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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1539180</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Risk of mental health conditions in bereavement: a population-based analysis of lung cancer spouses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Tay</surname> <given-names>Djin L.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2913143/overview"/>
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<contrib contrib-type="author">
<name><surname>Dubose</surname> <given-names>Kline</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Chipman</surname> <given-names>Jonathan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ellington</surname> <given-names>Lee</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Alnajar</surname> <given-names>Malek</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Iacob</surname> <given-names>Eli</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Stephens</surname> <given-names>Caroline</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name><surname>Ornstein</surname> <given-names>Katherine A.</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>College of Nursing, University of Utah</institution>, <addr-line>Salt Lake City, UT</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Population Health Sciences, School of Medicine, University of Utah</institution>, <addr-line>Salt Lake City, UT</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>School of Nursing, Johns Hopkins University</institution>, <addr-line>Baltimore, MD</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Toni P. Miles, Rosalynn Carter Institute for Caregivers, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Vahid Rashedi, University of Social Welfare and Rehabilitation Sciences, Iran</p>
<p>Molnar Rebeca Isabela, Emergency County Hospital Targu Mures, Romania</p>
<p>Don Lollar, Oregon Health and Science University, United States</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Djin L. Tay, <email>djin.tay@nurs.utah.edu</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1539180</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>12</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>04</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Tay, Dubose, Chipman, Ellington, Alnajar, Iacob, Stephens and Ornstein.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Tay, Dubose, Chipman, Ellington, Alnajar, Iacob, Stephens and Ornstein</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Caregiving to lung cancer patients is distressing, isolating, and associated with a high burden of anxiety and depression. However, few population-based studies in the U.S. have examined the risk of mental health conditions (MHCs) among spouses of lung cancer patients after the death of their partner. Guided by Anderson&#x2019;s Behavioral Health Utilization model, we examined the role of sex, pre-bereavement MHC, and decedents&#x2019; healthcare utilization on the risk of having a diagnosed MHC after the death of a lung cancer patient.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>This retrospective cohort study linked state-wide health facility records of 1,224 dyads&#x2014;deceased lung cancer patients and their bereaved spouses (824 female, 400 male)&#x2014;in Utah between 2013 and 2021. Bereavement-related mood/stress-related conditions were identified for spouses using diagnostic codes (starting from day 1 following the patients&#x2019; deaths). The Kaplan&#x2013;Meier curves and Cox proportional hazard models were used to estimate the risk for a composite outcome of MHC/death and the risk of MHC, after adjusting for censorship due to death and controlling for covariates.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>The majority of spouses were aged 65+&#x202F;(female: 67%; male: 33%), white/non-Hispanic (female: 89%; male: 90%), and urban-dwelling (female: 69%; male: 71%). Spouses experienced 374 events (MHCs/death) across the follow-up period. Adjusting for census-tract level income, cancer stage, insurance, censoring due to death, and the interaction between sex and MHC, spouses with preexisting MHCs had 4.09 times higher risk of developing MHCs during bereavement (95% CI: 2.70, 6.19) compared to spouses without pre-existing MHCs. Spouses of decedents with some college education (aHR: 0.68, 95% CI&#x202F;=&#x202F;0.48&#x2013;0.97) and longer survival (aHR: 0.85, 95% CI&#x202F;=&#x202F;0.74&#x2013;0.99) had a lower risk of MHCs compared to those of decedents with high school education and shorter survival.</p>
</sec>
<sec id="sec4">
<title>Discussion</title>
<p>This population-based study supports evidence for multi-level risk factors associated with having MHC after the death of a spouse with lung cancer. Findings suggest the need for targeted bereavement support for subgroups of spouses at greater risk of MHCs.</p>
</sec>
</abstract>
<kwd-group>
<kwd>bereavement</kwd>
<kwd>neoplasms</kwd>
<kwd>caregiver stress</kwd>
<kwd>mental health</kwd>
<kwd>epidemiologic studies</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="51"/>
<page-count count="10"/>
<word-count count="7356"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec5">
<title>Introduction</title>
<p>Cancer caregivers, particularly those supporting patients at the end of life, are a vulnerable population with increased mental health risks (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). Research shows that partners of cancer patients experience anxiety and depression at levels higher than the general population and comparable to those of the cancer patients themselves (<xref ref-type="bibr" rid="ref3 ref4 ref5">3&#x2013;5</xref>). In addition to poorer self-reported mental health, cancer caregivers experience greater psychiatric morbidity before and after bereavement. Population-level studies from other countries have established that spouses of cancer patients have a 30% higher risk than spouses of non-cancer patients of developing new-onset substance abuse, depression, or stress-related conditions within the year following a cancer diagnosis. A 29% increased risk of these mental health diagnoses in bereavement persists, even after adjusting for confounders and other pre-existing mental health diagnoses (<xref ref-type="bibr" rid="ref6">6</xref>). Similarly, in the United States (US), analyses of commercial insurance claims data found that, compared to non-cancer caregiver controls, almost 2 in 10 (19.6%) cancer caregivers had new mental health diagnoses in the year after losing their partner (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>Lung cancer is characterized by a high rate of recurrence, low survival (<xref ref-type="bibr" rid="ref8">8</xref>), and distressing symptoms that contribute to poor quality of life for patients and family caregivers (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>). The intense symptom management and stigma associated with lung cancer may be particularly isolating for spouse caregivers (<xref ref-type="bibr" rid="ref11">11</xref>, <xref ref-type="bibr" rid="ref12">12</xref>). Lung cancer patients have a higher prevalence of anti-cancer treatment utilization at the end of life (<xref ref-type="bibr" rid="ref13">13</xref>), which has been associated with poorer mental health among cancer caregivers (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref15">15</xref>). Analyses of cancer caregivers covered under the same health insurance policy found that caregivers of lung cancer patients were more likely to be diagnosed with a new mental health disorder following the patient&#x2019;s diagnosis compared to caregivers of non-lung cancer patients (18.9% vs. 10%) (<xref ref-type="bibr" rid="ref7">7</xref>).</p>
<p>During cancer caregiving, wives have been observed to report poorer mental health than husbands (<xref ref-type="bibr" rid="ref16">16</xref>). However, studies report mixed findings by gender in bereavement. While the loss of a spouse is among the most distressing life events across genders, husbands experience greater overall physical health impacts compared with wives after losing their spouse (<xref ref-type="bibr" rid="ref17 ref18 ref19">17&#x2013;19</xref>). Yet, with regard to mental health, the findings are less clear. While wives have been reported to experience a prolonged trajectory of distressing symptoms compared with husbands in population studies in Denmark (<xref ref-type="bibr" rid="ref20">20</xref>), the opposite finding has been observed in a Korean cohort (<xref ref-type="bibr" rid="ref21">21</xref>). Additionally, symptoms may also differ by gender and time. In the acute bereavement phase, husbands exhibit greater initial shock, while wives exhibit greater long-term psychological resilience around the 1-year mark (<xref ref-type="bibr" rid="ref22">22</xref>). However, these mixed findings regarding gender could be due to the greater participation of female individuals in caregiving research, as well as the influence of social norms that facilitate female caregivers&#x2019; expression of distress and mental health care (<xref ref-type="bibr" rid="ref23">23</xref>), highlighting the need to examine gender effects in bereavement using population-based approaches.</p>
<p>While the majority of population-based studies on bereavement have been conducted outside of the US (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref24">24</xref>), findings from these studies may be less generalizable to the US healthcare system. Examining the risk factors associated with MHCs among lung cancer spouses, a population vulnerable to the mental health impact of caregiving is needed to provide scientific evidence for targeted bereavement interventions in this population. Given these gender-based differences in bereavement mental health, we sought to focus on the relationship between gender and mood- and stress-related mental health diagnoses after the loss of a partner to cancer. Guided by Anderson&#x2019;s Behavioral Health Model (<xref ref-type="bibr" rid="ref25">25</xref>), we tested the hypothesis that predisposing characteristics (female sex) and need characteristics (spouses&#x2019; pre-existing mental health conditions and decedents&#x2019; healthcare utilization) would be associated with the risk of bereavement MHCs (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Adapted Anderson Behavioral Health Model for spouses&#x2019; bereavement mental health utilization.</p>
</caption>
<graphic xlink:href="fpubh-13-1539180-g001.tif"/>
</fig>
</sec>
<sec sec-type="methods" id="sec6">
<title>Methods</title>
<p>This secondary analysis used data from bereaved spouses and partners of decedents diagnosed with lung cancer between 2013 and 2018 in Utah identified with the Immunotherapy, Palliative, End of Life Treatment Utilization, and Spousal Outcomes (ImmPETUS) cohort (<xref ref-type="bibr" rid="ref23">23</xref>). ImmPETUS was developed to facilitate the study of changes in cancer patients&#x2019; end-of-life and primary caregiver health utilization during a period of rapid adoption of immunotherapies in advanced cancers. The ImmPETUS cohort is a linked dataset comprising demographic, clinical, end-of-life, and spousal caregiver data that combine several key population datasets in Utah: the Utah Population Database&#x2019;s (UPDB) statewide health facility data from the Utah Department of Health, the Utah All-Payer Claims Database (APCD), and the Utah Cancer Registry (UCR).</p>
<sec id="sec7">
<title>Data sources</title>
<sec id="sec8">
<title>UPDB</title>
<p>The UPDB is a statewide database that enables the linkage of health and family records from statewide health registries, sociodemographic data, vital records, and genealogical data for all Utah residents at the individual level. The UPDB health facility data are complete as they contain all inpatient, ambulatory surgery, and emergency department administrative data for every encounter in the state, regardless of insurance coverage, including encounters among the uninsured population. However, the UPDB&#x2019;s health facility data does not capture administrative data from care settings outside of inpatient, ambulatory surgery, and emergency department settings, such as physician visits.</p>
</sec>
<sec id="sec9">
<title>APCD</title>
<p>The Utah APCD contains all administrative data, including pharmacy records for the insured population, Medicaid, and commercial Medicare Supplemental and Advantage plans for older adults aged 65&#x202F;years and above. The APCD does not collect data from non-commercial Medicare plans, health plans covering fewer than 2,500 individuals (<xref ref-type="bibr" rid="ref26">26</xref>), the Veterans Health Administration or TRICARE system (serving active service members and veterans), Indian Health Services (tribal and urban Indian health programs), and individuals who self-pay are underrepresented (<xref ref-type="bibr" rid="ref27">27</xref>). As such, the data collected by the APCD represent approximately 60%&#x2013;70% of Utah&#x2019;s non-Medicare population (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
</sec>
<sec id="sec10">
<title>UCR</title>
<p>The UCR collects, stores, and manages cancer surveillance data in Utah for the Surveillance, Epidemiology, and End Results (SEER) program of the National Cancer Institute. The UCR captures data on cancer staging, diagnosis, and sociodemographic data current at the time of the index cancer diagnosis. According to the SEER program, cancer data from the UCR are complete and valid (<xref ref-type="bibr" rid="ref29">29</xref>).</p>
<p>To maximize coverage of the population and data completeness, we linked the UPDB health facility, Utah APCD, and UCR data for the sample. Eligible cancer patients (1) had a record in the UCR; (2) had a diagnosis of lung or bronchus cancer between 2013 and 2018; and (3) were at least 18&#x202F;years of age or older at the time of cancer diagnosis. Spouses and partners aged 18 and above were identified with UPDB&#x2019;s family groups, which are derived using a combination of marital records and children&#x2019;s birth records. Cancer patients with a non-natural cause of death (e.g., an accident) were excluded.</p>
</sec>
</sec>
<sec id="sec11">
<title>Measures</title>
<p>The variables were selected <italic>a priori</italic> and informed by Anderson&#x2019;s Behavioral Health Utilization Model (<xref ref-type="bibr" rid="ref25">25</xref>). We examined the associations between <italic>predisposing</italic> (spouses&#x2019; sex, age, ethnicity, and socioeconomic characteristics), <italic>enabling</italic> (rurality and insurance type), and <italic>need</italic> characteristics (spouses&#x2019; pre-existing MHCs, decedents&#x2019; stage at cancer diagnosis, survival, and cancer decedents&#x2019; healthcare utilization) and the outcome of MHCs.</p>
<sec id="sec12">
<title>MHCs</title>
<p>The outcome of interest was a documented diagnosis of mood- or stress-related disorder documented in administrative data any day after day 1 of the death of the partner. Anxiety, depression, and stress-related disorders were identified with International Classification of Disease (ICD) 9 and 10 codes identified by other large, published studies using administrative records that were developed by or verified with physician input (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref30">30</xref>) (codes are listed in <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>).</p>
</sec>
<sec id="sec13">
<title>Predisposing characteristics</title>
<p>Our primary independent variable was binary sex derived from birth records. We also adjusted the models for age (years), spouses&#x2019; ethnicity (non-Hispanic White, Hispanic, and non-Hispanic other ethnicity), census-tract level median annual income quartiles ($16,900&#x2013;$46,604; $46,605&#x2013;$60,057, $64,058&#x2013;$74,624, $74,625&#x2013;$193,958) obtained from the UPDB&#x2019;s American Community Survey data, and the maximum education level of decedent as recorded on death certificates (less than high school, high school graduate, some college, college graduate, and postgraduate).</p>
</sec>
<sec id="sec14">
<title>Enabling characteristics</title>
<p>Rurality was based on the Utah Department of Health definitions of Urban (counties with a population of 100 persons or more per square mile), Rural (7&#x2013;99 persons per square mile), and Frontier (&#x003C;7 persons per square mile) (<xref ref-type="bibr" rid="ref25">25</xref>). Decedents&#x2019; primary insurance type (Medicaid, Medicare, Private, and Other) was also assessed.</p>
</sec>
<sec id="sec15">
<title>Need characteristics</title>
<p>We assessed spouses&#x2019; pre-existing MHCs and decedents&#x2019; stage at cancer diagnosis (localized, regional, and distant) and survival (time from diagnosis to death, in years). Inpatient and emergency department visits after cancer patients&#x2019; diagnosis were included as a covariate to assess healthcare utilization.</p>
</sec>
</sec>
<sec id="sec16">
<title>Analyses</title>
<p>Descriptive statistics were calculated for the sample, and standardized mean differences were used to compare effect sizes between male and female individuals in the sample. The Kaplan&#x2013;Meier curves and survival analyses assessing the composite outcome of death and MHCs were conducted, followed by cause-specific analyses, accounting for censoring at death. To avoid overfitting, we included spouses&#x2019; sex, age, and history of MHCs, and patients&#x2019; cancer stage, survival, education, census-tract level income quartile, inpatient stays, and emergency department visits in the models. To account for the higher use of mental healthcare among female individuals, in general, we included the interaction of sex with mental health condition in the models. After applying the inclusion and exclusion criteria, missing data for each variable were assessed. The proportion of missing information for all variables did not exceed 8%. We assumed missing data to be missing at random and used multiple imputation models to address the missing data (<xref ref-type="bibr" rid="ref31">31</xref>). After identifying variables with missing data, we used the Hmisc and rms packages in R to impute the data using the AREG method to impute the data and aggregate the information across 23 iterations of the imputed data (<xref ref-type="bibr" rid="ref32 ref33 ref34">32&#x2013;34</xref>). All analyses were conducted in R with significance at a <italic>p</italic>-value of &#x003C;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec17">
<title>Results</title>
<sec id="sec18">
<title>Characteristics of the sample</title>
<p>A total of <italic>N</italic>&#x202F;=&#x202F;1,224 spouse-patient dyads (female spouses <italic>n</italic>&#x202F;=&#x202F;824; male spouses <italic>n</italic>&#x202F;=&#x202F;400) were identified after excluding lung cancer patients without spousal links (<italic>n</italic>&#x202F;=&#x202F;31,379) and patients who were living (<italic>n</italic>&#x202F;=&#x202F;14,824; <italic>n</italic>&#x202F;=&#x202F;3; <xref ref-type="fig" rid="fig2">Figure 2</xref>). Female spouses had a median age of 68&#x202F;years (interquartile range (IQR)&#x202F;=&#x202F;61&#x2013;76), and male spouses had a median age of 70&#x202F;years (IQR&#x202F;=&#x202F;64&#x2013;77; <xref ref-type="table" rid="tab1">Table 1</xref>). The majority of spouses were non-Hispanic White (female <italic>n</italic>&#x202F;=&#x202F;723, 89%; male <italic>n</italic>&#x202F;=&#x202F;354, 90%) and lived in urban areas (female 566, <italic>n</italic>&#x202F;=&#x202F;69%, male&#x202F;=&#x202F;285, 71%). Almost one in five female and male spouses lived in census tracts with the lowest quartile of annual household income. Greater proportions of male spouses had lost a partner with less than a high school education (19% vs. 17%) and a high school education (37% vs. 33%), while greater proportions of female spouses lost a partner with a post-college education (9.5% vs. 5.5%).</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Cohort selection.</p>
</caption>
<graphic xlink:href="fpubh-13-1539180-g002.tif"/>
</fig>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Differences in characteristics between male and female spouses (<italic>N</italic>&#x202F;=&#x202F;1,224).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="2"></th>
<th align="center" valign="top" colspan="2">Spouse sex</th>
<th colspan="2"/>
</tr>
<tr>
<th align="left" valign="top" rowspan="2">Group</th>
<th align="left" valign="top" rowspan="2">Characteristic</th>
<th align="center" valign="top">Female</th>
<th align="center" valign="top">Male</th>
<th align="center" valign="top" rowspan="2">SMD<sup>2</sup></th>
<th align="center" valign="top" rowspan="2">95% CI<sup>2,3</sup></th>
</tr>
<tr>
<th align="center" valign="top"><italic>n</italic> = 824<sup>1</sup></th>
<th align="center" valign="top"><italic>n</italic> = 400<sup>1</sup></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Spouse</td>
<td align="left" valign="top">Age at Diagnosis (Median, IQR; years)</td>
<td align="center" valign="top">68 (61, 76)</td>
<td align="center" valign="top">70 (64, 77)</td>
<td align="center" valign="top"><bold>&#x2212;0.16</bold></td>
<td align="center" valign="top">&#x2212;0.28, &#x2212;0.04</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Ethnicity<sup>4,5</sup></td>
<td/>
<td/>
<td align="center" valign="top">0.04</td>
<td align="center" valign="top">&#x2212;0.08, 0.16</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Non-Hispanic White</td>
<td align="center" valign="top">723 (89%)</td>
<td align="center" valign="top">354 (90%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Hispanic</td>
<td align="center" valign="top">59 (7.3%)</td>
<td align="center" valign="top">25 (6.3%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Non-Hispanic Other</td>
<td align="center" valign="top">31 (3.8%)</td>
<td align="center" valign="top">15 (3.8%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Spouse&#x2019;s pre-existing mood disorder</td>
<td align="center" valign="top">54 (6.6%)</td>
<td align="center" valign="top">21 (5.3%)</td>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">&#x2212;0.06, 0.17</td>
</tr>
<tr>
<td align="left" valign="top">Patient</td>
<td align="left" valign="top">Rurality<sup>4</sup></td>
<td/>
<td/>
<td align="center" valign="top">0.06</td>
<td align="center" valign="top">&#x2212;0.06, 0.18</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Urban</td>
<td align="center" valign="top">566 (69%)</td>
<td align="center" valign="top">285 (71%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top">207 (25%)</td>
<td align="center" valign="top">95 (24%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Frontier</td>
<td align="center" valign="top">50 (6.1%)</td>
<td align="center" valign="top">20 (5.0%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Education<sup>4,6</sup></td>
<td/>
<td/>
<td align="center" valign="top"><bold>0.17</bold></td>
<td align="center" valign="top">0.05, 0.29</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Less than high school</td>
<td align="center" valign="top">136 (17%)</td>
<td align="center" valign="top">75 (19%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">High School Graduate</td>
<td align="center" valign="top">274 (33%)</td>
<td align="center" valign="top">146 (37%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Some College</td>
<td align="center" valign="top">248 (30%)</td>
<td align="center" valign="top">114 (29%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">College Graduate</td>
<td align="center" valign="top">84 (10%)</td>
<td align="center" valign="top">41 (10%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Postgraduate</td>
<td align="center" valign="top">78 (9.5%)</td>
<td align="center" valign="top">22 (5.5%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Census-tract level median income (Dollars)</td>
<td/>
<td/>
<td align="center" valign="top">0.09</td>
<td align="center" valign="top">&#x2212;0.03, 0.21</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">16,900&#x2013;46,604</td>
<td align="center" valign="top">154 (19%)</td>
<td align="center" valign="top">82 (21%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">46,605&#x2013;60,057</td>
<td align="center" valign="top">270 (33%)</td>
<td align="center" valign="top">115 (29%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">64,058&#x2013;74,624</td>
<td align="center" valign="top">231 (28%)</td>
<td align="center" valign="top">115 (29%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">74,625&#x2013;193,958</td>
<td align="center" valign="top">169 (21%)</td>
<td align="center" valign="top">88 (22%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Stage<sup>4,7</sup></td>
<td/>
<td/>
<td align="center" valign="top"><bold>0.22</bold></td>
<td align="center" valign="top">0.10, 0.34</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Distant</td>
<td align="center" valign="top">532 (67%)</td>
<td align="center" valign="top">286 (73%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Localized</td>
<td align="center" valign="top">136 (17%)</td>
<td align="center" valign="top">38 (9.7%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Regional</td>
<td align="center" valign="top">128 (16%)</td>
<td align="center" valign="top">66 (17%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Insurance type<sup>4</sup></td>
<td/>
<td/>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">&#x2212;0.01, 0.23</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Medicaid</td>
<td align="center" valign="top">25 (3.1%)</td>
<td align="center" valign="top">16 (4.1%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Medicare</td>
<td align="center" valign="top">580 (73%)</td>
<td align="center" valign="top">268 (68%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Other</td>
<td align="center" valign="top">13 (1.6%)</td>
<td align="center" valign="top">8 (2.0%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Private</td>
<td align="center" valign="top">179 (22%)</td>
<td align="center" valign="top">103 (26%)</td>
<td/>
<td/>
</tr>
<tr>
<td/>
<td align="left" valign="top">Inpatient visits post-diagnosis<sup>4</sup></td>
<td align="center" valign="top">3.0 (1.0, 6.0)</td>
<td align="center" valign="top">3.0 (1.0, 6.0)</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">&#x2212;0.08, 0.17</td>
</tr>
<tr>
<td/>
<td align="left" valign="top">Emergency room visits<sup>4</sup></td>
<td align="center" valign="top">1.0 (0.0, 3.8)</td>
<td align="center" valign="top">2.0 (0.0, 4.5)</td>
<td align="center" valign="top">&#x2212;0.08</td>
<td align="center" valign="top">&#x2212;0.20, 0.04</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>1</sup>Median (IQR); <italic>n</italic> (%). <sup>2</sup>SMD, standardized mean difference; bolded values are significant. A difference of 0.2 indicates a small, 0.5 a medium, and 0.8 a large effect size (<xref ref-type="bibr" rid="ref34">34</xref>). <sup>3</sup>CI, confidence interval. <sup>4</sup>Indicates unknown/missing data, numbers suppressed due to small cell sizes to protect confidentiality. <sup>5</sup>Due to small cell sizes, ethnicity was combined into three categories. Non-Hispanic and Others included individuals classified as American Indian/Alaska Native, Asian, Black or African American, Native Hawaiian or Pacific Islander, or Multiple Ethnicities and Non-Hispanic. <sup>6</sup>Decedents&#x2019; lifetime maximum level of education was assessed using death certificate data. <sup>7</sup>Reflects the stage of cancer diagnosis as indicated in Utah Cancer Registry records.</p>
</table-wrap-foot>
</table-wrap>
<p>Pre-existing MHCs prior to decedents&#x2019; deaths were observed in 6.6% of female (<italic>n</italic>&#x202F;=&#x202F;64) and 5.3% (<italic>n</italic>&#x202F;=&#x202F;21) of male spouses, respectively. A greater proportion of cancers diagnosed at distant stages was observed for deceased partners of both female and male spouses (67% and 73%, respectively), and the majority of decedents were insured through Medicare (partners of female spouses <italic>n</italic>&#x202F;=&#x202F;580, 73%; partners of male spouses <italic>n</italic>&#x202F;=&#x202F;268, 68%). Deceased partners of female and male partners had a median of 3 inpatient visits and 1&#x2013;2 emergency department visits after their cancer diagnosis, with a majority of decedents dying at home (62%&#x2013;64%). Female spouses were significantly younger (standardized mean difference, SMD&#x202F;=&#x202F;&#x2212;0.16, 95% CI&#x202F;=&#x202F;&#x2212;0.28&#x2013;0.04), differed in deceased partners&#x2019; maximum education level (SMD&#x202F;=&#x202F;0.17, 95% CI&#x202F;=&#x202F;0.05&#x2013;0.29), and cancer stages (SMD&#x202F;=&#x202F;0.22, 95% CI&#x202F;=&#x202F;0.10&#x2013;0.34), which supported the fact that these differences were not large in magnitude.</p>
</sec>
<sec id="sec19">
<title>Events (composite outcome of MHCs and death)</title>
<p>To account for the possibility of death as a competing event to MHCs, i.e., spouses may die prior to presenting to a health facility where MHCs would be documented, we developed a composite outcome of MHC and deaths. A total of 374 events contributed by <italic>N</italic>&#x202F;=&#x202F;1,224 spouses were documented across the study period. <xref ref-type="fig" rid="fig3">Figure 3</xref> features the Kaplan&#x2013;Meier curves by sex that describe the estimated overall probability of mood disorder or composite outcome (mood disorder or death) over time (years). The curves suggest that female spouses had a greater probability of mood disorder (<xref ref-type="fig" rid="fig3">Figure 3A</xref>), male spouses had a greater probability of death (<xref ref-type="fig" rid="fig3">Figure 3B</xref>), and that male and female spouses had a similar probability of any event (mood disorder + death; <xref ref-type="fig" rid="fig3">Figure 3C</xref>).</p>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Kaplan&#x2013;Meier curves for overall probabilities of MHC, death, and MHC&#x202F;+&#x202F;death. <bold>(A)</bold> Probability of MHC by bereaved spouses&#x2019; sex. <bold>(B)</bold> Probability of death by bereaved spouses&#x2019; sex. <bold>(C)</bold> Probability of MHC&#x202F;+&#x202F;death by bereaved spouses&#x2019; sex.</p>
</caption>
<graphic xlink:href="fpubh-13-1539180-g003.tif"/>
</fig>
</sec>
<sec id="sec20">
<title>Cox proportional hazards models</title>
<p>Separate Cox proportional hazards models evaluated differences in time to the composite outcome and mood disorder accounting for censorship due to death (cause-specific model). After adjusting for the interaction between sex and MHCs, neither model showed a difference in the risk of MHCs in bereavement based on sex or decedents&#x2019; healthcare utilization.</p>
<sec id="sec21">
<title>Model for the composite outcome</title>
<p>After adjusting for covariates, the risk of MHC/death was increased for each 10-year interval for surviving spouses. Specifically, at a given point in time, a 10-year increase in spouses&#x2019; age at diagnosis was associated with a hazard ratio of 1.37 (95% CI: 1.19, 1.55). Having a diagnosed MHC prior to the cancer decedents&#x2019; death was associated with a three times higher risk (aHR: 3.16, 95% CI: 2.21, 4.53) of MHC/death. Compared with decedents whose maximum lifetime education was at the high school level, spouses of decedents with some college-level education (aHR: 0.69, 95% CI&#x202F;=&#x202F;0.52&#x2013;0.90) and who were college graduates (aHR: 0.64, 95% CI&#x202F;=&#x202F;0.41&#x2013;0.99) had a lower risk of MHCs in bereavement (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Adjusted Cox proportional hazards for the composite outcome (time to MHC or death).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Variables</th>
<th align="center" valign="top">aHR<sup>1,2</sup></th>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Lower 0.95</th>
<th align="center" valign="top">Upper 0.95</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Male sex (spouse)</td>
<td align="center" valign="top">0.96</td>
<td align="center" valign="top">0.11</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="top">1.20</td>
</tr>
<tr>
<td align="left" valign="top">Spousal age at patients&#x2019; diagnosis, per 10-year difference</td>
<td align="center" valign="top"><bold>1.36</bold></td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">1.19</td>
<td align="center" valign="top">1.55</td>
</tr>
<tr>
<td align="left" valign="top">Spouse&#x2019;s pre-existing MHC</td>
<td align="center" valign="top"><bold>3.16</bold></td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">2.21</td>
<td align="center" valign="top">4.53</td>
</tr>
<tr>
<td align="left" valign="top">Time from Diagnosis to Death</td>
<td align="center" valign="top">0.95</td>
<td align="center" valign="top">0.05</td>
<td align="center" valign="top">0.85</td>
<td align="center" valign="top">1.05</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Decedents&#x2019; maximum education, ref. High school graduate</td>
</tr>
<tr>
<td align="left" valign="top">College Graduate</td>
<td align="center" valign="top"><bold>0.64</bold></td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">0.41</td>
<td align="center" valign="top">0.99</td>
</tr>
<tr>
<td align="left" valign="top">Less than high school</td>
<td align="center" valign="top">1.09</td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">1.43</td>
</tr>
<tr>
<td align="left" valign="top">Postgraduate</td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">1.27</td>
</tr>
<tr>
<td align="left" valign="top">Some College</td>
<td align="center" valign="top"><bold>0.69</bold></td>
<td align="center" valign="top">0.14</td>
<td align="center" valign="top">0.52</td>
<td align="center" valign="top">0.90</td>
</tr>
<tr>
<td align="left" valign="top">Decedents&#x2019; inpatient visits after cancer diagnosis</td>
<td align="center" valign="top">0.99</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">0.96</td>
<td align="center" valign="top">1.02</td>
</tr>
<tr>
<td align="left" valign="top">Decedents&#x2019; emergency department visits after cancer diagnosis</td>
<td align="center" valign="top">1.01</td>
<td align="center" valign="top">0.01</td>
<td align="center" valign="top">0.98</td>
<td align="center" valign="top">1.03</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>1</sup>Models have been adjusted for decedents&#x2019; census-tract level income, cancer stage at diagnosis, maximum lifetime education, insurance, and the interaction of sex&#x002A;MHC (all not significant). <sup>2</sup>Bolded coefficients indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec22">
<title>Cause-specific model</title>
<p>In the cause-specific analysis, spouses&#x2019; age was no longer a significant predictor of the risk of an outcome; however, the decedents&#x2019; length of survival was associated with spouses&#x2019; risk of MHCs. An additional year of survival was associated with a 15% decrease in the risk of spouses experiencing an MHC in bereavement. As in the previous analysis, having a previously diagnosed MHC was associated with a significantly adjusted hazard ratio of 4.09 (95% CI: 2.70, 6.19). Spouses of decedents with some college-level education had a lower risk of bereavement MHCs (aHR: 0.68, 95% CI&#x202F;=&#x202F;0.48&#x2013;0.97) compared with decedents with a high school-level education, after accounting for censorship due to death (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Adjusted Cox proportional hazards for the cause-specific model (time to MHC adjusted for censorship due to death).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th>Variables</th>
<th align="center" valign="top">aHR<sup>1,2</sup></th>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Lower 0.95</th>
<th align="center" valign="top">Upper 0.95</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Male sex (spouse)</td>
<td align="center" valign="top">0.75</td>
<td align="center" valign="top">0.15</td>
<td align="center" valign="top">0.56</td>
<td align="center" valign="top">1.02</td>
</tr>
<tr>
<td align="left" valign="top">Spousal age at patients&#x2019; diagnosis, per 10-year difference</td>
<td align="center" valign="top">0.94</td>
<td align="center" valign="top">0.08</td>
<td align="center" valign="top">0.80</td>
<td align="center" valign="top">1.10</td>
</tr>
<tr>
<td align="left" valign="top">Spouse&#x2019;s pre-existing MHC</td>
<td align="center" valign="top"><bold>4.09</bold></td>
<td align="center" valign="top">0.21</td>
<td align="center" valign="top">2.70</td>
<td align="center" valign="top">6.19</td>
</tr>
<tr>
<td align="left" valign="top">Time from Diagnosis to Death</td>
<td align="center" valign="top"><bold>0.85</bold></td>
<td align="center" valign="top">0.07</td>
<td align="center" valign="top">0.74</td>
<td align="center" valign="top">0.99</td>
</tr>
<tr>
<td align="left" valign="top" colspan="5">Decedents&#x2019; maximum education, High school graduate</td>
</tr>
<tr>
<td align="left" valign="top">College Graduate</td>
<td align="center" valign="top">0.76</td>
<td align="center" valign="top">0.26</td>
<td align="center" valign="top">0.46</td>
<td align="center" valign="top">1.27</td>
</tr>
<tr>
<td align="left" valign="top">Less than high school</td>
<td align="center" valign="top">1.18</td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">0.83</td>
<td align="center" valign="top">1.67</td>
</tr>
<tr>
<td align="left" valign="top">Postgraduate</td>
<td align="center" valign="top">0.88</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">0.51</td>
<td align="center" valign="top">1.50</td>
</tr>
<tr>
<td align="left" valign="top">Some College</td>
<td align="center" valign="top"><bold>0.68</bold></td>
<td align="center" valign="top">0.18</td>
<td align="center" valign="top">0.48</td>
<td align="center" valign="top">0.97</td>
</tr>
<tr>
<td align="left" valign="top">Decedents&#x2019; inpatient visits after cancer diagnosis</td>
<td align="center" valign="top">1.00</td>
<td align="center" valign="top">0.02</td>
<td align="center" valign="top">0.97</td>
<td align="center" valign="top">1.04</td>
</tr>
<tr>
<td align="left" valign="top">Decedents&#x2019; emergency department visits after cancer diagnosis</td>
<td align="center" valign="top">1.01</td>
<td align="center" valign="top">0.017</td>
<td align="center" valign="top">0.98</td>
<td align="center" valign="top">1.05</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p><sup>1</sup>Models have been adjusted for decedents&#x2019; census-tract level income, cancer stage diagnosis, insurance, and the interaction of sex&#x002A;MHC (all not significant). <sup>2</sup>Bolded coefficients indicate statistical significance.</p>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
</sec>
<sec sec-type="discussion" id="sec23">
<title>Discussion</title>
<p>Examining the impact of bereavement MHC over time is important for cancer spouses&#x2014;a population at greater risk of developing psychiatric disorders after the death of their spouse. This was one of the few population-based studies in the US that examined diagnoses of MHCs among lung cancer spouses after the death of a partner.</p>
<p>Bereaved lung cancer spouses have been observed to be particularly at risk compared to non-cancer caregivers and even caregivers of decedents with other cancer types, and lung cancer caregivers&#x2019; distress can exceed even that of patients themselves (<xref ref-type="bibr" rid="ref3">3</xref>). Hu et al.&#x2019;s analyses of two national registries in Sweden and Denmark observed that spouses of lung cancer had a 45% higher risk of new MHCs compared to spouses of patients with less aggressive cancers (e.g., prostate cancer spouses HR&#x202F;=&#x202F;1.05, any cancer HR&#x202F;=&#x202F;1.14) after the diagnosis of cancer in their partners (<xref ref-type="bibr" rid="ref6">6</xref>). However, there is limited epidemiologic research comparing differences in bereavement MHCs by cancer types in the US, except for a few. A 2021 study by Hess et al. using IBM MarketScan Administrative Data in the US observed that lung cancer caregivers had the highest proportions of new MHC-related diagnoses (18.9%) in the first year after a cancer patient&#x2019;s diagnosis compared with gastric (17.8%), colorectal (14.7%), sarcoma (14.3%), and breast cancer (10.1%) caregivers (<xref ref-type="bibr" rid="ref7">7</xref>). Taken together, these findings support that lung cancer spouses may be a particularly at-risk caregiving population; however, future research comparing across cancer types is needed to verify these outcomes among spouses of other cancer patients in the US population.</p>
<p>While we anticipated that the female sex of the surviving spouse would be associated with greater MHCs, our cause-specific analysis did not find a statistically significant difference after accounting for earlier mortality in male spouses. This finding may be due to the lower reporting and help-seeking behaviors of male individuals for MHCs in general (<xref ref-type="bibr" rid="ref35">35</xref>). Our previous studies examining prescriptions of antidepressants and anxiolytics in families of decedents in the last year of life observed higher proportions of antidepressant prescriptions among wives compared with husbands (<xref ref-type="bibr" rid="ref36">36</xref>), supporting the possibility that female individuals seek more care for MHCs. However, gender differences in the timing of symptoms may influence these findings. Other registry-based studies have found that male individuals exhibit prolonged grief symptoms more acutely, while female individuals have a more protracted trajectory of symptoms (<xref ref-type="bibr" rid="ref20">20</xref>). Given our observation of earlier mortality in male individuals, there is a possibility that more acute and severe mental health symptoms associated with earlier mortality in male individuals may have affected these findings. While outside the scope of our study, future studies comparing outcomes with a non-bereaved matched cohort are recommended to better distinguish the gender effect of bereavement on mental health and mortality.</p>
<p>Losing a spouse is among the most difficult life events for adults, and 10&#x2013;20% of bereaved spouses will develop severe or prolonged grief responses (<xref ref-type="bibr" rid="ref37">37</xref>). Our findings support the finding that having a previously diagnosed mood or stress-related disorder was associated with over four times higher risk of having an MHC, which is in line with findings from other survey-based epidemiologic studies of complicated grief (<xref ref-type="bibr" rid="ref38">38</xref>). Future studies should also examine serious mental health diagnoses such as schizophrenia, bipolar, major depressive disorders (<xref ref-type="bibr" rid="ref39">39</xref>), or co-occurring substance or alcohol use disorders (<xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref41">41</xref>) to better identify the most at-risk individuals who may benefit from targeted support in bereavement.</p>
<p>We focused on MHCs that were documented in administrative data, which may reflect a sample with more severe MHC who were diagnosed or treated in healthcare settings (<xref ref-type="bibr" rid="ref42">42</xref>). It is important to note that these data may neither capture mental health outcomes for individuals with subclinical but meaningful levels of symptoms nor cases if individuals do not seek health care for their MHCs. A study of 168 bereaved cancer caregivers of lung and gastrointestinal cancer patients found that 30.4% of caregivers self-reported clinical levels of depressive symptoms, while 43.4% reported clinically significant levels of anxiety after the death of their loved one (<xref ref-type="bibr" rid="ref43">43</xref>). Thus, it is possible that the prevalence of MHCs may be higher in the bereaved lung cancer spouse population than these findings observed.</p>
<p>The greater risk of MHC in this caregiver population may be due to the unique stresses of lung cancer caregiving (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref10">10</xref>, <xref ref-type="bibr" rid="ref11">11</xref>). While we hypothesized that greater overall healthcare utilization in deceased patients would be associated with greater bereavement MHC, this association was not supported in our findings. A possibility may be that we assessed the number of inpatient and emergency department visits beginning after patients&#x2019; cancer diagnoses, which may fail to capture the more stressful contexts of high-intensity care that cluster toward the end of life (<xref ref-type="bibr" rid="ref44">44</xref>). In addition, dyadic effects may also exist, as poorer bereavement mental health in caregivers has been associated with perceived distress in their loved one prior to death (<xref ref-type="bibr" rid="ref43">43</xref>). These factors associated with the end-of-life care context would be important to examine in future analyses.</p>
<p>Population studies observed that bereaved cancer spouses have an increased risk of psychiatric disorders if their partners had advanced cancers and cancers with poorer prognoses (<xref ref-type="bibr" rid="ref6">6</xref>). Our findings add that longer survival among cancer decedents was associated with a lower risk of MHCs in bereavement. A possibility is that longer survival may facilitate greater emotional adjustment in spouses of cancer patients, particularly when death is expected (<xref ref-type="bibr" rid="ref45">45</xref>). This finding is in contrast with our previous analysis of the hospice patient population that observed that longer hospice duration was positively associated with mortality risk for bereaved husbands but not wives in the general population (<xref ref-type="bibr" rid="ref46">46</xref>). These findings collectively suggest that gender and trajectories of decline may play a modifying role in the end-of-life cancer caregiving stress experience.</p>
<p>Although we adjusted for multiple factors, our findings were unable to account for psychosocial factors or cultural influences on bereavement that can serve a protective or risk role. For example, perceived interpersonal support is protective for psychological wellbeing and health-related quality of life among cancer caregivers (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>). Additionally, caregiving and subsequent bereavement may be perceived as normative and a fulfillment of a spousal responsibility, influenced by certain cultural or ethnic backgrounds (<xref ref-type="bibr" rid="ref49">49</xref>). Conversely, some cultures and communities may hold beliefs that discourage seeking bereavement support (<xref ref-type="bibr" rid="ref50">50</xref>) or mental health services more broadly (<xref ref-type="bibr" rid="ref51">51</xref>). Future research integrating self-reported or qualitative methods and exploring bereavement mental health outcomes in more racially and ethnically diverse samples may be helpful in distinguishing the contribution of psychosocial and cultural influences.</p>
<p>Finally, while our study did not have access to individual-level household income, our findings supported that socioeconomic status may be protective of spousal bereavement MHC. While indirect, this finding supports the implications that dyadic factors may continue to influence surviving members of dyads after the death of a partner. The higher level of educational attainment may be associated with greater income or wealth for the surviving partner, which should be examined in future studies using individual-level measures of socioeconomic status. Examining the socioeconomic influences associated with bereavement is important as financial hardship in surviving spouses has been associated with an increased risk of suicidal ideation (<xref ref-type="bibr" rid="ref38">38</xref>).</p>
<sec id="sec24">
<title>Limitations</title>
<p>While the strengths of this study were a population sample and the use of objective data, limitations include the retrospective nature of the study and the potential for detection bias. Individuals who do not have healthcare encounters in inpatient, ambulatory surgery, or emergency department settings or do not seek care for MHCs are not represented in these data. Studies using self-reported data may observe different findings. Future studies should evaluate MHCs using other measures, including self-reported measures. Due to the smaller sample and rarer occurrences of MHC, we limited the examination of additional predictors to prevent overfitting of the data. Thus, there is a possibility of potentially unmeasured confounders, such as access to social support, cultural factors, and the end-of-life caregiving context. Additionally, data from this study were specific to a single state, which poses implications for generalizability. Nevertheless, population data allow us to minimize selection bias compared with smaller, prospective samples, which is a strength of this study.</p>
</sec>
</sec>
<sec sec-type="conclusions" id="sec25">
<title>Conclusion</title>
<p>Bereavement is a major life stressor that can contribute to mental health morbidity and is one of the major stressors associated with serious illness caregiving. Building population-level evidence for the pervasive impacts of cancer caregiving is important to guide care delivery across the cancer continuum and beyond. Future research should investigate these outcomes in a more nationally representative sample and investigate other mental health outcomes that may be relevant to difficult loss. Nevertheless, our findings hold implications of greater mental health assessment and support for bereaved partners that may be at risk for greater mental health challenges after the loss of a spouse to lung cancer, such as lung cancer spouses that have pre-existing MHCs.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec26">
<title>Data availability statement</title>
<p>The data analyzed in this study is subject to the following licenses/restrictions: use of the data held by the Utah Population Database (UPDB) and its data contributors are regulated. Under an Executive Order, the Utah Resource for Genetic and Epidemiologic Research (RGE) is responsible for regulatory oversight of all projects using data from the UPDB. Access to datasets from the UPDB (including those constructed for this application) is governed and approved by the RGE committee, which includes representatives of the data providers whose data are included in UPDB. An RGE protocol is ancillary to an Institutional Review Board (IRB) protocol, which may be held external to the University of Utah. Data may only be transferred from the University of Utah to an external institution with RGE approval and a fully executed data transfer agreement. Requests to access these datasets should be directed to Nicola Camp, <email>Nicola.camp@hci.utah.edu</email>.</p>
</sec>
<sec sec-type="ethics-statement" id="sec27">
<title>Ethics statement</title>
<p>The study involving humans were approved by the University of Utah Institutional Review Board. The study was conducted in accordance with the local legislation and institutional requirements. A waiver of informed consent was obtained for the limited dataset and secondary data analysis in accordance with the national legislation and institutional requirements.</p>
</sec>
<sec sec-type="author-contributions" id="sec28">
<title>Author contributions</title>
<p>DT: Conceptualization, Funding acquisition, Investigation, Project administration, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. KD: Data curation, Formal analysis, Investigation, Methodology, Validation, Visualization, Writing &#x2013; review &#x0026; editing. JC: Conceptualization, Investigation, Methodology, Supervision, Writing &#x2013; review &#x0026; editing. LE: Investigation, Resources, Writing &#x2013; review &#x0026; editing. MA: Investigation, Writing &#x2013; review &#x0026; editing. EI: Investigation, Writing &#x2013; review &#x0026; editing. CS: Investigation, Writing &#x2013; review &#x0026; editing. KO: Conceptualization, Investigation, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec29">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. This study was funded by the University of Utah&#x2019;s Vice President for Research Incentive Seed Grant (PI: DT). LE was supported by an NIA award (K07AG068185). We also acknowledge funding from the College of Nursing Emma Eccles Jones Nursing Research Center for publication fees. This study was also partially supported by the Huntsman Cancer Institute Comprehensive Cancer Center at the University of Utah P30CA042014, utilizing Cancer Biostatistics and Cancer Bioinformatics Shared Resources. We acknowledge the Pedigree and Population Resource of Huntsman Cancer Institute (Huntsman Cancer Foundation), the Utah Population Database (National Cancer Institute P30 CA2014, University of Utah, University of Utah&#x2019;s Clinical and Translational Science Institute), the Utah Department of Health Data (NCRR R01 RR021746, PI: G. Mineau; Utah Department of Health, University of Utah), and the Utah Cancer Registry (National Cancer Institute&#x2019;s SEER Program, Contract No. HHSN261201800016I, US Centers for Disease Control and Prevention&#x2019;s National Program of Cancer Registries, Cooperative Agreement No. NU58DP006320, University of Utah, and the Huntsman Cancer Foundation). The support and resources of the Center for High Performance Computing at the University of Utah are gratefully acknowledged. The computational resources used were partially funded by the NIH Shared Instrumentation Grant 1S10OD021644-01A1.</p>
</sec>
<ack>
<p>We acknowledge Dr. Mia Hashibe for her guidance on the initial cohort design. We acknowledge the support of the University of Utah&#x2019;s Family Caregiving Collaborative (K07AG068185; PI: LE).</p>
</ack>
<sec sec-type="COI-statement" id="sec30">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec31">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
</sec>
<sec sec-type="disclaimer" id="sec32">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec sec-type="disclaimer" id="sec33">
<title>Author disclaimer</title>
<p>The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.</p>
</sec>
<sec sec-type="supplementary-material" id="sec34">
<title>Supplementary material</title>
<p>The Supplementary material for this article can be found online at: <ext-link xlink:href="https://www.frontiersin.org/articles/10.3389/fpubh.2025.1539180/full#supplementary-material" ext-link-type="uri">https://www.frontiersin.org/articles/10.3389/fpubh.2025.1539180/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="Table_1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document" xmlns:xlink="http://www.w3.org/1999/xlink"/>
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<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hasdenteufel</surname> <given-names>M</given-names></name> <name><surname>Quintard</surname> <given-names>B</given-names></name></person-group>. <article-title>Psychosocial factors affecting the bereavement experience of relatives of palliative-stage cancer patients: a systematic review</article-title>. <source>BMC Palliat Care</source>. (<year>2022</year>) <volume>21</volume>:<fpage>212</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12904-022-01096-y</pub-id>, PMID: <pub-id pub-id-type="pmid">36451118</pub-id></citation></ref>
<ref id="ref2"><label>2.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>Y</given-names></name> <name><surname>Shaffer</surname> <given-names>KM</given-names></name> <name><surname>Carver</surname> <given-names>CS</given-names></name> <name><surname>Cannady</surname> <given-names>RS</given-names></name></person-group>. <article-title>Quality of life of family caregivers 8 years after a relative's cancer diagnosis: follow-up of the National Quality of life survey for caregivers</article-title>. <source>Psychooncology</source>. (<year>2016</year>) <volume>25</volume>:<fpage>266</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1002/pon.3843</pub-id>, PMID: <pub-id pub-id-type="pmid">25976620</pub-id></citation></ref>
<ref id="ref3"><label>3.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>C</given-names></name> <name><surname>Zou</surname> <given-names>J</given-names></name> <name><surname>Cheng</surname> <given-names>F-Q</given-names></name> <name><surname>Peng</surname> <given-names>L</given-names></name> <name><surname>Deng</surname> <given-names>L-H</given-names></name> <etal/></person-group>. <article-title>Prevalence and influencing factors of the dyadic psychological stress among patients with lung cancer and their family caregivers: a cross-sectional study</article-title>. <source>BMC Nurs</source>. (<year>2025</year>) <volume>24</volume>:<fpage>13</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12912-024-02635-z</pub-id>, PMID: <pub-id pub-id-type="pmid">39762831</pub-id></citation></ref>
<ref id="ref4"><label>4.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Geng</surname> <given-names>HM</given-names></name> <name><surname>Chuang</surname> <given-names>DM</given-names></name> <name><surname>Yang</surname> <given-names>F</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>WM</given-names></name> <name><surname>Liu</surname> <given-names>LH</given-names></name> <etal/></person-group>. <article-title>Prevalence and determinants of depression in caregivers of cancer patients: a systematic review and meta-analysis</article-title>. <source>Medicine</source>. (<year>2018</year>) <volume>97</volume>:<fpage>e11863</fpage>. doi: <pub-id pub-id-type="doi">10.1097/md.0000000000011863</pub-id>, PMID: <pub-id pub-id-type="pmid">30278483</pub-id></citation></ref>
<ref id="ref5"><label>5.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bedaso</surname> <given-names>A</given-names></name> <name><surname>Dejenu</surname> <given-names>G</given-names></name> <name><surname>Duko</surname> <given-names>B</given-names></name></person-group>. <article-title>Depression among caregivers of cancer patients: updated systematic review and meta-analysis</article-title>. <source>Psycho-Oncology</source>. (<year>2022</year>) <volume>31</volume>:<fpage>1809</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1002/pon.6045</pub-id>, PMID: <pub-id pub-id-type="pmid">36209385</pub-id></citation></ref>
<ref id="ref6"><label>6.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>K</given-names></name> <name><surname>Liu</surname> <given-names>Q</given-names></name> <name><surname>L&#x00E1;szl&#x00F3;</surname> <given-names>KD</given-names></name> <name><surname>Wei</surname> <given-names>D</given-names></name> <name><surname>Yang</surname> <given-names>F</given-names></name> <name><surname>Fall</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Risk of psychiatric disorders among spouses of patients with cancer in Denmark and Sweden</article-title>. <source>JAMA Netw Open</source>. (<year>2023</year>) <volume>6</volume>:<fpage>560</fpage>. doi: <pub-id pub-id-type="doi">10.1001/jamanetworkopen.2022.49560</pub-id>, PMID: <pub-id pub-id-type="pmid">36602801</pub-id></citation></ref>
<ref id="ref7"><label>7.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hess</surname> <given-names>LM</given-names></name> <name><surname>Wong-Jacobson</surname> <given-names>SH</given-names></name> <name><surname>Peterson</surname> <given-names>PM</given-names></name></person-group>. <article-title>Health and resource burden of a cancer diagnosis on the caregiver: an analysis of administrative claims data</article-title>. <source>BMC Health Serv Res</source>. (<year>2021</year>) <volume>21</volume>:<fpage>894</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12913-021-06938-8</pub-id>, PMID: <pub-id pub-id-type="pmid">34461888</pub-id></citation></ref>
<ref id="ref8"><label>8.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">American Cancer Society</collab></person-group>. Lung Cancer Survival Rates: American Cancer Society; (<year>2024</year>). Available online at: <ext-link xlink:href="https://www.cancer.org/cancer/types/lung-cancer/detection-diagnosis-staging/survival-rates.html" ext-link-type="uri">https://www.cancer.org/cancer/types/lung-cancer/detection-diagnosis-staging/survival-rates.html</ext-link> (Accessed December 3, 2024).</citation></ref>
<ref id="ref9"><label>9.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hendriksen</surname> <given-names>E</given-names></name> <name><surname>Rivera</surname> <given-names>A</given-names></name> <name><surname>Williams</surname> <given-names>E</given-names></name> <name><surname>Lee</surname> <given-names>E</given-names></name> <name><surname>Sporn</surname> <given-names>N</given-names></name> <name><surname>Cases</surname> <given-names>MG</given-names></name> <etal/></person-group>. <article-title>Manifestations of anxiety and coping strategies in patients with metastatic lung cancer and their family caregivers: a qualitative study</article-title>. <source>Psychol Health</source>. (<year>2019</year>) <volume>34</volume>:<fpage>886</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1080/08870446.2019.1579909</pub-id>, PMID: <pub-id pub-id-type="pmid">31155947</pub-id></citation></ref>
<ref id="ref10"><label>10.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hendriksen</surname> <given-names>E</given-names></name> <name><surname>Williams</surname> <given-names>E</given-names></name> <name><surname>Sporn</surname> <given-names>N</given-names></name> <name><surname>Greer</surname> <given-names>J</given-names></name> <name><surname>DeGrange</surname> <given-names>A</given-names></name> <name><surname>Koopman</surname> <given-names>C</given-names></name></person-group>. <article-title>Worried together: a qualitative study of shared anxiety in patients with metastatic non-small cell lung cancer and their family caregivers</article-title>. <source>Support Care Cancer</source>. (<year>2015</year>) <volume>23</volume>:<fpage>1035</fpage>&#x2013;<lpage>41</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00520-014-2431-9</pub-id>, PMID: <pub-id pub-id-type="pmid">25277959</pub-id></citation></ref>
<ref id="ref11"><label>11.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lippiett</surname> <given-names>KA</given-names></name> <name><surname>Richardson</surname> <given-names>A</given-names></name> <name><surname>Myall</surname> <given-names>M</given-names></name> <name><surname>Cummings</surname> <given-names>A</given-names></name> <name><surname>May</surname> <given-names>CR</given-names></name></person-group>. <article-title>Patients and informal caregivers' experiences of burden of treatment in lung cancer and chronic obstructive pulmonary disease (COPD): a systematic review and synthesis of qualitative research</article-title>. <source>BMJ Open</source>. (<year>2019</year>) <volume>9</volume>:<fpage>e020515</fpage>. doi: <pub-id pub-id-type="doi">10.1136/bmjopen-2017-020515</pub-id>, PMID: <pub-id pub-id-type="pmid">30813114</pub-id></citation></ref>
<ref id="ref12"><label>12.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Carmack Taylor</surname> <given-names>CL</given-names></name> <name><surname>Badr</surname> <given-names>H</given-names></name> <name><surname>Lee</surname> <given-names>JH</given-names></name> <name><surname>Fossella</surname> <given-names>F</given-names></name> <name><surname>Pisters</surname> <given-names>K</given-names></name> <name><surname>Gritz</surname> <given-names>ER</given-names></name> <etal/></person-group>. <article-title>Lung cancer patients and their spouses: psychological and relationship functioning within 1 month of treatment initiation</article-title>. <source>Annals Behav Med</source>. (<year>2008</year>) <volume>36</volume>:<fpage>129</fpage>&#x2013;<lpage>40</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12160-008-9062-7</pub-id>, PMID: <pub-id pub-id-type="pmid">18797978</pub-id></citation></ref>
<ref id="ref13"><label>13.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Smith</surname> <given-names>CEP</given-names></name> <name><surname>Kamal</surname> <given-names>AH</given-names></name> <name><surname>Kluger</surname> <given-names>M</given-names></name> <name><surname>Coke</surname> <given-names>P</given-names></name> <name><surname>Kelley</surname> <given-names>MJ</given-names></name></person-group>. <article-title>National Trends in end-of-life Care for Veterans with Advanced Cancer in the veterans health administration: 2009 to 2016</article-title>. <source>J Oncol Pract</source>. (<year>2019</year>) <volume>15</volume>:<fpage>e568</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1200/jop.18.00559</pub-id>, PMID: <pub-id pub-id-type="pmid">31046573</pub-id></citation></ref>
<ref id="ref14"><label>14.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nipp</surname> <given-names>RD</given-names></name> <name><surname>El-Jawahri</surname> <given-names>A</given-names></name> <name><surname>Fishbein</surname> <given-names>JN</given-names></name> <name><surname>Gallagher</surname> <given-names>ER</given-names></name> <name><surname>Stagl</surname> <given-names>JM</given-names></name> <name><surname>Park</surname> <given-names>ER</given-names></name> <etal/></person-group>. <article-title>Factors associated with depression and anxiety symptoms in family caregivers of patients with incurable cancer</article-title>. <source>Annals Oncol</source>. (<year>2016</year>) <volume>27</volume>:<fpage>1607</fpage>&#x2013;<lpage>12</lpage>. doi: <pub-id pub-id-type="doi">10.1093/annonc/mdw205</pub-id>, PMID: <pub-id pub-id-type="pmid">27177859</pub-id></citation></ref>
<ref id="ref15"><label>15.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Takao</surname> <given-names>A</given-names></name> <name><surname>Arao</surname> <given-names>H</given-names></name> <name><surname>Yamamoto</surname> <given-names>S</given-names></name> <name><surname>Aoki</surname> <given-names>M</given-names></name> <name><surname>Kouda</surname> <given-names>K</given-names></name> <name><surname>Morita</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Nationwide survey on caregiver burden when supporting terminal Cancer patients with dementia: bereaved family Members' perspective</article-title>. <source>J Palliat Care</source>. (<year>2023</year>) <volume>38</volume>:<fpage>326</fpage>&#x2013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.1177/08258597231169625</pub-id>, PMID: <pub-id pub-id-type="pmid">37066441</pub-id></citation></ref>
<ref id="ref16"><label>16.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ng</surname> <given-names>JH</given-names></name> <name><surname>Luk</surname> <given-names>BH</given-names></name> <name><surname>Lee</surname> <given-names>NP</given-names></name></person-group>. <article-title>Gender differences in cancer spousal caregiving: a systematic review</article-title>. <source>Palliat Support Care</source>. (<year>2023</year>) <volume>21</volume>:<fpage>880</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S1478951523000731</pub-id>, PMID: <pub-id pub-id-type="pmid">37334489</pub-id></citation></ref>
<ref id="ref17"><label>17.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stahl</surname> <given-names>ST</given-names></name> <name><surname>Arnold</surname> <given-names>AM</given-names></name> <name><surname>Chen</surname> <given-names>JY</given-names></name> <name><surname>Anderson</surname> <given-names>S</given-names></name> <name><surname>Schulz</surname> <given-names>R</given-names></name></person-group>. <article-title>Mortality after bereavement: the role of cardiovascular disease and depression</article-title>. <source>Psychosom Med</source>. (<year>2016</year>) <volume>78</volume>:<fpage>697</fpage>&#x2013;<lpage>703</lpage>. doi: <pub-id pub-id-type="doi">10.1097/psy.0000000000000317.P</pub-id>, PMID: <pub-id pub-id-type="pmid">26894326</pub-id></citation></ref>
<ref id="ref18"><label>18.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>H</given-names></name> <name><surname>Umberson</surname> <given-names>D</given-names></name> <name><surname>Xu</surname> <given-names>M</given-names></name></person-group>. <article-title>Widowhood and mortality: gender, race/ethnicity, and the role of economic resources</article-title>. <source>Ann Epidemiol</source>. (<year>2020</year>) <volume>45</volume>:<fpage>69</fpage>&#x2013;<lpage>75.e1</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.annepidem.2020.02.006</pub-id>, PMID: <pub-id pub-id-type="pmid">32336656</pub-id></citation></ref>
<ref id="ref19"><label>19.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sullivan</surname> <given-names>AR</given-names></name> <name><surname>Fenelon</surname> <given-names>A</given-names></name></person-group>. <article-title>Patterns of widowhood mortality</article-title>. <source>J Gerontol B Psychol Sci Soc Sci</source>. (<year>2014</year>) <volume>69B</volume>:<fpage>53</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1093/geronb/gbt079</pub-id></citation></ref>
<ref id="ref20"><label>20.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lundorff</surname> <given-names>M</given-names></name> <name><surname>Bonanno</surname> <given-names>GA</given-names></name> <name><surname>Johannsen</surname> <given-names>M</given-names></name> <name><surname>O'Connor</surname> <given-names>M</given-names></name></person-group>. <article-title>Are there gender differences in prolonged grief trajectories? A registry-sampled cohort study</article-title>. <source>J Psychiatr Res</source>. (<year>2020</year>) <volume>129</volume>:<fpage>168</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpsychires.2020.06.030</pub-id>, PMID: <pub-id pub-id-type="pmid">32739617</pub-id></citation></ref>
<ref id="ref21"><label>21.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoon</surname> <given-names>H</given-names></name> <name><surname>Park</surname> <given-names>GR</given-names></name> <name><surname>Kim</surname> <given-names>J</given-names></name></person-group>. <article-title>Psychosocial trajectories before and after spousal loss: does gender matter?</article-title> <source>Soc Sci Med</source>. (<year>2022</year>) <volume>294</volume>:<fpage>114701</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.socscimed.2022.114701</pub-id>, PMID: <pub-id pub-id-type="pmid">35007946</pub-id></citation></ref>
<ref id="ref22"><label>22.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maccallum</surname> <given-names>F</given-names></name> <name><surname>Lundorff</surname> <given-names>M</given-names></name> <name><surname>Johannsen</surname> <given-names>M</given-names></name> <name><surname>Farver-Vestergaard</surname> <given-names>I</given-names></name> <name><surname>O'Connor</surname> <given-names>M</given-names></name></person-group>. <article-title>An exploration of gender and prolonged grief symptoms using network analysis</article-title>. <source>Psychol Med</source>. (<year>2023</year>) <volume>53</volume>:<fpage>1770</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1017/S0033291721003391</pub-id>, PMID: <pub-id pub-id-type="pmid">34503594</pub-id></citation></ref>
<ref id="ref23"><label>23.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>McLean</surname> <given-names>S</given-names></name> <name><surname>Gomes</surname> <given-names>B</given-names></name> <name><surname>Higginson</surname> <given-names>IJ</given-names></name></person-group>. <article-title>The intensity of caregiving is a more important predictor of adverse bereavement outcomes for adult-child than spousal caregivers of patients who die of cancer</article-title>. <source>Psychooncology</source>. (<year>2017</year>) <volume>26</volume>:<fpage>316</fpage>&#x2013;<lpage>22</lpage>. doi: <pub-id pub-id-type="doi">10.1002/pon.4132</pub-id>, PMID: <pub-id pub-id-type="pmid">27139519</pub-id></citation></ref>
<ref id="ref24"><label>24.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Maura</surname> <given-names>G</given-names></name> <name><surname>Bloti&#x00E8;re</surname> <given-names>PO</given-names></name> <name><surname>Wastesson</surname> <given-names>JW</given-names></name> <name><surname>Johnell</surname> <given-names>K</given-names></name></person-group>. <article-title>Spousal bereavement and four-year trajectories of medication use: a nationwide register-based study in Swedish older adults</article-title>. <source>J Am Geriatr Soc</source>. (<year>2024</year>) <volume>72</volume>:<fpage>2048</fpage>&#x2013;<lpage>59</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jgs.18950</pub-id>, PMID: <pub-id pub-id-type="pmid">38720614</pub-id></citation></ref>
<ref id="ref25"><label>25.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aday</surname> <given-names>LA</given-names></name> <name><surname>Andersen</surname> <given-names>R</given-names></name></person-group>. <article-title>A framework for the study of access to medical care</article-title>. <source>Health Serv Res</source>. (<year>1974</year>) <volume>9</volume>:<fpage>208</fpage>&#x2013;<lpage>20</lpage>. PMID: <pub-id pub-id-type="pmid">4436074</pub-id></citation></ref>
<ref id="ref26"><label>26.</label><citation citation-type="book"><person-group person-group-type="author"><collab id="coll2">Utah Office of Administrative Rules</collab></person-group>. <source>Insurance administration rule 262: health data authority health insurance claims reporting.</source> <publisher-loc>Utah</publisher-loc>: <publisher-name>Utah Office of Administrative Rules</publisher-name> (<year>2024</year>).</citation></ref>
<ref id="ref27"><label>27.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garvin</surname> <given-names>JH</given-names></name> <name><surname>Herget</surname> <given-names>KA</given-names></name> <name><surname>Hashibe</surname> <given-names>M</given-names></name> <name><surname>Kirchhoff</surname> <given-names>AC</given-names></name> <name><surname>Hawley</surname> <given-names>CW</given-names></name> <name><surname>Bolton</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Linkage between Utah all payers claims database and central Cancer registry</article-title>. <source>Health Serv Res</source>. (<year>2019</year>) <volume>54</volume>:<fpage>707</fpage>&#x2013;<lpage>13</lpage>. doi: <pub-id pub-id-type="doi">10.1111/1475-6773.13114</pub-id>, PMID: <pub-id pub-id-type="pmid">30675913</pub-id></citation></ref>
<ref id="ref28"><label>28.</label><citation citation-type="other"><person-group person-group-type="author"><collab id="coll3">Utah Department of Health &#x0026; Human Services</collab></person-group>. About the Utah all payer claims database Salt Lake City, UT: Utah Department of Health &#x0026; Human Services; (<year>2025</year>). Available online at: <ext-link xlink:href="https://healthcarestats.utah.gov/about-the-data/#:~:text=About%20the%20Utah%20All%20Payer%20Claims%20Database&#x0026;text=As%20of%20December%202021%2C%20the,most%20people%20in%20the%20state" ext-link-type="uri">https://healthcarestats.utah.gov/about-the-data/#:~:text=About%20the%20Utah%20All%20Payer%20Claims%20Database&#x0026;text=As%20of%20December%202021%2C%20the,most%20people%20in%20the%20state</ext-link> (Accessed April 2, 2025).</citation></ref>
<ref id="ref29"><label>29.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Codden</surname> <given-names>RR</given-names></name> <name><surname>Sweeney</surname> <given-names>C</given-names></name> <name><surname>Ofori-Atta</surname> <given-names>BS</given-names></name> <name><surname>Herget</surname> <given-names>KA</given-names></name> <name><surname>Wigren</surname> <given-names>K</given-names></name> <name><surname>Edwards</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Accuracy of patient race and ethnicity data in a central cancer registry</article-title>. <source>Cancer Causes Control</source>. (<year>2024</year>) <volume>35</volume>:<fpage>685</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10552-023-01827-3</pub-id>, PMID: <pub-id pub-id-type="pmid">38019367</pub-id></citation></ref>
<ref id="ref30"><label>30.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frayne</surname> <given-names>SM</given-names></name> <name><surname>Miller</surname> <given-names>DR</given-names></name> <name><surname>Sharkansky</surname> <given-names>EJ</given-names></name> <name><surname>Jackson</surname> <given-names>VW</given-names></name> <name><surname>Wang</surname> <given-names>F</given-names></name> <name><surname>Halanych</surname> <given-names>JH</given-names></name> <etal/></person-group>. <article-title>Using administrative data to identify mental illness: what approach is best?</article-title> <source>Am J Med Qual</source>. (<year>2010</year>) <volume>25</volume>:<fpage>42</fpage>&#x2013;<lpage>50</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1062860609346347</pub-id>, PMID: <pub-id pub-id-type="pmid">19855046</pub-id></citation></ref>
<ref id="ref31"><label>31.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rubin</surname> <given-names>DB</given-names></name> <name><surname>Schenker</surname> <given-names>N</given-names></name></person-group>. <article-title>Multiple imputation in healthcare databases: an overview and some applications</article-title>. <source>Stat Med</source>. (<year>1991</year>) <volume>10</volume>:<fpage>585</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.1002/sim.4780100410</pub-id>, PMID: <pub-id pub-id-type="pmid">2057657</pub-id></citation></ref>
<ref id="ref32"><label>32.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Harrell</surname> <given-names>EF</given-names></name></person-group>. <source>Hmisc: Harrell Miscellaneous</source>. (<year>2025</year>). R package version 5.2-4. Available at: <ext-link xlink:href="https://github.com/harrelfe/hmisc" ext-link-type="uri">https://github.com/harrelfe/hmisc</ext-link></citation></ref>
<ref id="ref33"><label>33.</label><citation citation-type="book"><person-group person-group-type="author"><name><surname>Harrell</surname> <given-names>F. Jr</given-names></name></person-group>. <source>Package &#x2018;rms&#x2019;. R package version 8.0-0</source>. (<year>2025</year>). Available at: <ext-link xlink:href="https://cran.r-project.org/web/packages/rms/rms.pdf" ext-link-type="uri">https://cran.r-project.org/web/packages/rms/rms.pdf</ext-link></citation></ref>
<ref id="ref34"><label>34.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Van Buuren</surname> <given-names>S</given-names></name> <name><surname>Groothuis-Oudshoorn</surname> <given-names>K</given-names></name></person-group>. <article-title>Mice: multivariate imputation by chained equations in R</article-title>. <source>J Stat Softw</source>. (<year>2011</year>) <volume>45</volume>:<fpage>1</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.18637/jss.v045.i03</pub-id></citation></ref>
<ref id="ref35"><label>35.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Roxo</surname> <given-names>L</given-names></name> <name><surname>Silva</surname> <given-names>M</given-names></name> <name><surname>Perelman</surname> <given-names>J</given-names></name></person-group>. <article-title>Gender gap in health service utilisation and outcomes of depression: a cross-country longitudinal analysis of European middle-aged and older adults</article-title>. <source>Prev Med</source>. (<year>2021</year>) <volume>153</volume>:<fpage>106847</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ypmed.2021.106847</pub-id>, PMID: <pub-id pub-id-type="pmid">34662596</pub-id></citation></ref>
<ref id="ref36"><label>36.</label><citation citation-type="other"><person-group person-group-type="author"><name><surname>Iacob</surname> <given-names>E</given-names></name> <name><surname>Hollingshaus</surname> <given-names>M</given-names></name> <name><surname>Utz</surname> <given-names>R</given-names></name> <name><surname>Tay</surname> <given-names>D</given-names></name> <name><surname>Ornstein</surname> <given-names>KA</given-names></name> <name><surname>Alexander</surname> <given-names>R</given-names></name> <etal/></person-group>. Caregiving at end-of-life: How do family structure and dementia status impact antidepressant and anxiolytic prescriptions among families? Alzheimer&#x2019;s Dement. (<year>2025</year>). doi: <pub-id pub-id-type="doi">10.1002/alz.14590</pub-id></citation></ref>
<ref id="ref37"><label>37.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Seiler</surname> <given-names>A</given-names></name> <name><surname>von K&#x00E4;nel</surname> <given-names>R</given-names></name> <name><surname>Slavich</surname> <given-names>GM</given-names></name></person-group>. <article-title>The psychobiology of bereavement and health: a conceptual review from the perspective of social signal transduction theory of depression</article-title>. <source>Front Psych</source>. (<year>2020</year>) <volume>11</volume>:<fpage>565239</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fpsyt.2020.565239</pub-id>, PMID: <pub-id pub-id-type="pmid">33343412</pub-id></citation></ref>
<ref id="ref38"><label>38.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Viola</surname> <given-names>M</given-names></name> <name><surname>Gang</surname> <given-names>J</given-names></name> <name><surname>Maciejewski</surname> <given-names>PK</given-names></name> <name><surname>Prigerson</surname> <given-names>HG</given-names></name></person-group>. <article-title>Associations of financial hardship with suicidal ideation among bereaved cancer caregivers</article-title>. <source>J Psychosoc Oncol</source>. (<year>2023</year>) <volume>41</volume>:<fpage>226</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1080/07347332.2022.2067803</pub-id>, PMID: <pub-id pub-id-type="pmid">35510901</pub-id></citation></ref>
<ref id="ref39"><label>39.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tay</surname> <given-names>DL</given-names></name> <name><surname>Thygesen</surname> <given-names>LC</given-names></name> <name><surname>Kozlov</surname> <given-names>E</given-names></name> <name><surname>Ornstein</surname> <given-names>KA</given-names></name></person-group>. <article-title>Serious mental illness exacerbation post-bereavement: a population-based study of partners and adult children</article-title>. <source>Clin Epidemiol</source>. (<year>2022</year>) <volume>14</volume>:<fpage>1065</fpage>&#x2013;<lpage>77</lpage>. doi: <pub-id pub-id-type="doi">10.2147/clep.S372936</pub-id>, PMID: <pub-id pub-id-type="pmid">36164496</pub-id></citation></ref>
<ref id="ref40"><label>40.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stewart</surname> <given-names>SA</given-names></name> <name><surname>Copeland</surname> <given-names>AL</given-names></name> <name><surname>Cherry</surname> <given-names>KE</given-names></name></person-group>. <article-title>Risk factors for substance use across the lifespan</article-title>. <source>J Genet Psychol</source>. (<year>2023</year>) <volume>184</volume>:<fpage>145</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1080/00221325.2022.2130025</pub-id>, PMID: <pub-id pub-id-type="pmid">36300651</pub-id></citation></ref>
<ref id="ref41"><label>41.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bottomley</surname> <given-names>JS</given-names></name> <name><surname>Williams</surname> <given-names>JL</given-names></name> <name><surname>Pavlacic</surname> <given-names>JM</given-names></name> <name><surname>Gex</surname> <given-names>KS</given-names></name> <name><surname>Rheingold</surname> <given-names>AA</given-names></name></person-group>. <article-title>Bereavement and problematic alcohol use: prevalence and predictors among a national sample of bereaved adults</article-title>. <source>Alcohol Clin Exp Res</source>. (<year>2025</year>) <volume>49</volume>:<fpage>175</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1111/acer.15496</pub-id></citation></ref>
<ref id="ref42"><label>42.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Davis</surname> <given-names>KA</given-names></name> <name><surname>Sudlow</surname> <given-names>CL</given-names></name> <name><surname>Hotopf</surname> <given-names>M</given-names></name></person-group>. <article-title>Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses</article-title>. <source>BMC Psychiatry</source>. (<year>2016</year>) <volume>16</volume>:<fpage>1</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1186/s12888-016-0963-x</pub-id>, PMID: <pub-id pub-id-type="pmid">27455845</pub-id></citation></ref>
<ref id="ref43"><label>43.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>El-Jawahri</surname> <given-names>A</given-names></name> <name><surname>Greer</surname> <given-names>JA</given-names></name> <name><surname>Park</surname> <given-names>ER</given-names></name> <name><surname>Jackson</surname> <given-names>VA</given-names></name> <name><surname>Kamdar</surname> <given-names>M</given-names></name> <name><surname>Rinaldi</surname> <given-names>SP</given-names></name> <etal/></person-group>. <article-title>Psychological distress in bereaved caregivers of patients with advanced Cancer</article-title>. <source>J Pain Symptom Manag</source>. (<year>2021</year>) <volume>61</volume>:<fpage>488</fpage>&#x2013;<lpage>94</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpainsymman.2020.08.028</pub-id>, PMID: <pub-id pub-id-type="pmid">32882355</pub-id></citation></ref>
<ref id="ref44"><label>44.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Matsuzaka</surname> <given-names>S</given-names></name> <name><surname>Ohba</surname> <given-names>A</given-names></name> <name><surname>Masukawa</surname> <given-names>K</given-names></name> <name><surname>Aoyama</surname> <given-names>M</given-names></name> <name><surname>Morita</surname> <given-names>T</given-names></name> <name><surname>Kizawa</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Factors associated with the preparedness for bereavement in families of patients with cancer: a secondary analysis of a nationwide bereaved family survey</article-title>. <source>Psychooncology</source>. (<year>2024</year>) <volume>33</volume>:<fpage>e6276</fpage>. doi: <pub-id pub-id-type="doi">10.1002/pon.6276</pub-id>, PMID: <pub-id pub-id-type="pmid">38282233</pub-id></citation></ref>
<ref id="ref45"><label>45.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname> <given-names>ST</given-names></name> <name><surname>Hsieh</surname> <given-names>C-H</given-names></name> <name><surname>Chou</surname> <given-names>W-C</given-names></name> <name><surname>Chang</surname> <given-names>W-C</given-names></name> <name><surname>Chen</surname> <given-names>J-S</given-names></name> <name><surname>Wen</surname> <given-names>F-H</given-names></name></person-group>. <article-title>Course of changes in emotional preparedness for death and its associations with caregiving outcomes for family caregivers of terminally ill cancer patients over their last year of life</article-title>. <source>J Pain Symptom Manag</source>. (<year>2021</year>) <volume>61</volume>:<fpage>974</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpainsymman.2020.09.033</pub-id>, PMID: <pub-id pub-id-type="pmid">32991973</pub-id></citation></ref>
<ref id="ref46"><label>46.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hollingshaus</surname> <given-names>M</given-names></name> <name><surname>Smith</surname> <given-names>KR</given-names></name> <name><surname>Meeks</surname> <given-names>H</given-names></name> <name><surname>Ornstein</surname> <given-names>K</given-names></name> <name><surname>Iacob</surname> <given-names>E</given-names></name> <name><surname>Tay</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Mortality risk following end-of-life caregiving: a population-based analysis of hospice users and their families</article-title>. <source>Soc Sci Med</source>. (<year>2024</year>) <volume>348</volume>:<fpage>116781</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.socscimed.2024.116781</pub-id>, PMID: <pub-id pub-id-type="pmid">38547806</pub-id></citation></ref>
<ref id="ref47"><label>47.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yoo</surname> <given-names>H</given-names></name> <name><surname>Shin</surname> <given-names>DW</given-names></name> <name><surname>Jeong</surname> <given-names>A</given-names></name> <name><surname>Kim</surname> <given-names>SY</given-names></name> <name><surname>Yang</surname> <given-names>H-k</given-names></name> <name><surname>Kim</surname> <given-names>JS</given-names></name> <etal/></person-group>. <article-title>Perceived social support and its impact on depression and health-related quality of life: a comparison between cancer patients and general population</article-title>. <source>Jpn J Clin Oncol</source>. (<year>2017</year>) <volume>47</volume>:<fpage>728</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1093/jjco/hyx064</pub-id>, PMID: <pub-id pub-id-type="pmid">28531292</pub-id></citation></ref>
<ref id="ref48"><label>48.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Garc&#x00ED;a-Torres</surname> <given-names>F</given-names></name> <name><surname>Jacek Jab&#x0142;o&#x0144;ski</surname> <given-names>M</given-names></name> <name><surname>G&#x00F3;mez Sol&#x00ED;s</surname> <given-names>&#x00C1;</given-names></name> <name><surname>Moriana</surname> <given-names>JA</given-names></name> <name><surname>Ja&#x00E9;n-Moreno</surname> <given-names>MJ</given-names></name> <name><surname>Moreno-D&#x00ED;az</surname> <given-names>MJ</given-names></name> <etal/></person-group>. <article-title>Social support as predictor of anxiety and depression in cancer caregivers six months after cancer diagnosis: a longitudinal study</article-title>. <source>J Clin Nurs</source>. (<year>2020</year>) <volume>29</volume>:<fpage>996</fpage>&#x2013;<lpage>1002</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jocn.15123</pub-id>, PMID: <pub-id pub-id-type="pmid">31793095</pub-id></citation></ref>
<ref id="ref49"><label>49.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gro&#x00DF;e</surname> <given-names>J</given-names></name> <name><surname>Treml</surname> <given-names>J</given-names></name> <name><surname>Kersting</surname> <given-names>A</given-names></name></person-group>. <article-title>Impact of caregiver burden on mental health in bereaved caregivers of cancer patients: a systematic review</article-title>. <source>Psychooncology</source>. (<year>2018</year>) <volume>27</volume>:<fpage>757</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.1002/pon.4529</pub-id>, PMID: <pub-id pub-id-type="pmid">28805954</pub-id></citation></ref>
<ref id="ref50"><label>50.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aaron</surname> <given-names>SP</given-names></name> <name><surname>Supiano</surname> <given-names>K</given-names></name> <name><surname>Elk</surname> <given-names>R</given-names></name> <name><surname>Wallace</surname> <given-names>B</given-names></name></person-group>. <article-title>Towards a framework for a culturally centered evidence based prolonged grief group therapy intervention</article-title>. <source>Int J Palliat Nurs</source>. (<year>2025</year>) <volume>31</volume>:<fpage>109</fpage>&#x2013;<lpage>18</lpage>. doi: <pub-id pub-id-type="doi">10.12968/ijpn.2024.0027</pub-id>, PMID: <pub-id pub-id-type="pmid">40135530</pub-id></citation></ref>
<ref id="ref51"><label>51.</label><citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miller</surname> <given-names>E</given-names></name> <name><surname>Bosun-Arjie</surname> <given-names>SF</given-names></name> <name><surname>Ekpenyong</surname> <given-names>MS</given-names></name></person-group>. <article-title>Black and ethnic minority carers perceptions on mental health services and support in the United Kingdom: a systematic review</article-title>. <source>J Public Ment Health</source>. (<year>2021</year>) <volume>20</volume>:<fpage>298</fpage>&#x2013;<lpage>311</lpage>. doi: <pub-id pub-id-type="doi">10.1108/JPMH-12-2020-0152</pub-id></citation></ref>
</ref-list>
</back>
</article>