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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2023.1075678</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Social support and community embeddedness protect against post-disaster depression among immigrants: a Vietnamese American case study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pham</surname>
<given-names>NhuNgoc K.</given-names>
</name>
<xref rid="aff1" ref-type="aff"><sup>1</sup></xref>
<xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn0011" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1826799/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Do</surname>
<given-names>Mai</given-names>
</name>
<xref rid="aff2" ref-type="aff"><sup>2</sup></xref>
<xref rid="fn0011" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1855461/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Diep</surname>
<given-names>Jannette</given-names>
</name>
<xref rid="aff3" ref-type="aff"><sup>3</sup></xref>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Social, Behavioral, and Population Sciences, Tulane University School of Public Health and Tropical Medicine</institution>, <addr-line>New Orleans, LA</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of International Health and Sustainable Development, Tulane University School of Public Health and Tropical Medicine</institution>, <addr-line>New Orleans, LA</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>BPSOS-Houston</institution>, <addr-line>Houston, TX</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: Yousaf Iqbal, Hamad Medical Corporation, Qatar</p></fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: Lee Greenblatt-Kimron, Ariel University, Israel; Christopher Dowrick, University of Liverpool, United Kingdom</p></fn>
<corresp id="c001">&#x002A;Correspondence: NhuNgoc K. Pham, <email>npham2@tulane.edu</email></corresp>
<fn id="fn0011" fn-type="equal"><p><sup>&#x2020;</sup>ORCID: NhuNgoc K. Pham <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0003-3584-2147">https://orcid.org/0000-0003-3584-2147</ext-link></p>
<p>Mai Do <ext-link ext-link-type="uri" xlink:href="https://orcid.org/0000-0002-2965-4812">https://orcid.org/0000-0002-2965-4812</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1075678</elocation-id>
<history>
<date date-type="received">
<day>20</day>
<month>10</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Pham, Do and Diep.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Pham, Do and Diep</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Immigrants often face increased vulnerabilities to disaster-related poor health and recovery, compared to mainstream populations. Little is known about Hurricane Harvey&#x2019;s impacts among the storm affected area&#x2019;s large Vietnamese American population. Our study documented diverse psychological experiences and recovery challenges 1&#x2009;year post-storm among a sample of 120 Vietnamese Americans residing in the Houston, Texas area. Using linear regression modeling, we examined the association between social support and depressive symptom development among these storm-affected Vietnamese Americans. Social support encapsulating both social embeddedness and perceived support was measured by the Louisville Social Support Scale and depressive symptom development was measured by 18 items that assessed emotional distress. These items included loss of appetite, loss of concentration, exposure to persistent pain, and the exhibition of hopelessness, tiredness, sadness, frustration, discouragement, desperation, exhaustion, disgraced, anger, and craziness. We found adverse post-disaster health outcomes, as well as potential avenues to mitigate them, that should be taken into consideration in the design and implementation of inclusive disaster programs. A high level of social support lowered depressive symptomology among Vietnamese Americans post-Hurricane Harvey, even when accounting for Hurricane Harvey-related home damages and injuries/illness. The negative association between social support and depressive symptom development remained after accounting for both post-storm self-rated mental and physical health. Our results suggested that public health practitioners and emergency management entities should prioritize social support resources to foster mental well-being after hurricanes among Vietnamese Americans as future hurricanes are expected to be stronger and more prevalent along the United States Gulf Coast.</p>
</abstract>
<kwd-group>
<kwd>disaster</kwd>
<kwd>immigrants</kwd>
<kwd>health disparities</kwd>
<kwd>Hurricane Harvey</kwd>
<kwd>Vietnamese American</kwd>
<kwd>mental health</kwd>
<kwd>social support</kwd>
<kwd>depressive symptoms</kwd>
</kwd-group>
<contract-sponsor id="cn1">Tulane University<named-content content-type="fundref-id">10.13039/100007875</named-content></contract-sponsor>
<counts>
<fig-count count="0"/>
<table-count count="3"/>
<equation-count count="0"/>
<ref-count count="69"/>
<page-count count="9"/>
<word-count count="6598"/>
</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="sec1">
<title>Introduction</title>
<p>Disaster literature widely documents that individuals exposed to large disasters with cascading effects that evolve overtime, such as hurricanes, are more likely to experience increased levels of stress, anxiety, depression, and post-traumatic stress disorder (PTSD) compared to unexposed individuals (<xref ref-type="bibr" rid="ref1">1</xref>&#x2013;<xref ref-type="bibr" rid="ref9">9</xref>). More so, residents of the United States (U.S.) Gulf Coast often experience elevated levels of depression and anxiety in the immediate aftermath of a hurricane and continue to experience ongoing psychopathologies long after the storm (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Such psychopathology trends may be present due to Hurricane Harvey, likely the most devastating storm in the last decade. After its landfall on August 25, 2017, the storm destroyed more than 12,000 homes and affected 13 million people across five states: Texas, Louisiana, Mississippi, Tennessee, and Kentucky (<xref ref-type="bibr" rid="ref10">10</xref>&#x2013;<xref ref-type="bibr" rid="ref12">12</xref>). The category 4 hurricane caused widespread flash flooding across most of Harris County, submerging a third of the Houston metropolitan area (<xref ref-type="bibr" rid="ref13">13</xref>). Existing studies revealed that Texas residents affected by Hurricane Harvey reported poorer self-rated mental health post-storm compared to the national standards (<xref ref-type="bibr" rid="ref14">14</xref>). Also, individuals who experienced personal or property loss due to the hurricane were more likely to develop mental health symptoms, including PTSD, after the storm (<xref ref-type="bibr" rid="ref15">15</xref>).</p>
<p>Short- and long-term post-disaster outcomes can differ by individual&#x2019;s social economic status (SES) and racial backgrounds (<xref ref-type="bibr" rid="ref16">16</xref>). Older age, occupational status, marital status, acculturation level, and the extent of property damage have statistically significant effects on post-storm health outcomes (<xref ref-type="bibr" rid="ref17">17</xref>). Poor acculturation among immigrants and extensive property damage negatively affect the outcomes, and they often continue to impede recovery long after the storm (<xref ref-type="bibr" rid="ref17">17</xref>). Furthermore, immigrants are vulnerable to poor post-disasters recovery due to their limited capacity to prepare for and respond to disasters (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref19">19</xref>). Often exhibiting low levels of language skills, social acculturation, and SES, immigrants are more prone to poor recovery, and poor physical and mental health outcomes post-disasters (<xref ref-type="bibr" rid="ref2">2</xref>, <xref ref-type="bibr" rid="ref20">20</xref>&#x2013;<xref ref-type="bibr" rid="ref30">30</xref>). This is particularly true among Vietnamese Americans across the U.S., who in 2019, reported that 65% of those ages 5 or above experienced limited English proficiency (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>Previous studies on Hurricane Katrina highlighted that Vietnamese Americans who experienced displacement, severe property loss, and trauma due to the storm experienced concerning prevalence of partial PTSD during the first year post-storm (<xref ref-type="bibr" rid="ref32">32</xref>). They also had limited access to health care and medications after Hurricane Katrina. About 40% of those surveyed also reported difficulties in obtaining health care needs 1&#x2009;year post-storm (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref34">34</xref>). Similar trends may be present among Houston-area Vietnamese American residents affected by Hurricane Harvey, but there have been no data available. However, the safety net provided by high perceived social support and community embeddedness among this community may be helpful in their recovery process; yet such associations among Vietnamese Americans, who are often excluded in post-disaster research, remain underexplored.</p>
<p>Sociodemographic background, pre-disaster health status, event exposure characteristics, and social support factors are features that may be associated with the likelihood of mental health issue development after disasters among affected individuals (<xref ref-type="bibr" rid="ref35">35</xref>). Existing studies documented the associations between high perceived social support and community embeddedness to better post-disaster outcomes (<xref ref-type="bibr" rid="ref36">36</xref>&#x2013;<xref ref-type="bibr" rid="ref39">39</xref>). Helpful relationships may provide emotional, informational, and instrumental support to alleviate mental distress, reduce anxiety, and enhance feelings of security to help affected individuals navigate the altered landscape of daily life post-disaster (<xref ref-type="bibr" rid="ref35">35</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). For example, social support through social connections may benefit the appraisal process of stressors to help regulate the intensity of emotional reactions to disaster events and subsequently alter post-traumatic stress levels (<xref ref-type="bibr" rid="ref41">41</xref>&#x2013;<xref ref-type="bibr" rid="ref43">43</xref>). The availability of a supportive environment through social relationships and community embeddedness may encourage individuals to express their thoughts and feelings without fears of judgements, fostering the validation of their emotions, to then enhance positive coping and self-efficacy for disaster recovery. The interaction between high self-efficacy and quality social support may further offset negative disaster consequences. Thus, social support may be a critical factor in post-storm recovery to distinguish between those who succumbs to disaster hardships and those who do not (<xref ref-type="bibr" rid="ref44">44</xref>). More specifically, high perceived social support and social embeddedness &#x2013; two dimensions of social support &#x2013; are vital to successful disaster recovery (<xref ref-type="bibr" rid="ref40">40</xref>, <xref ref-type="bibr" rid="ref45">45</xref>&#x2013;<xref ref-type="bibr" rid="ref47">47</xref>). Evidence supporting the association between high levels of social support and lower depressive symptoms is expansive within existing literature. However, such association among Vietnamese Americans within the disaster context remain scant, particularly those affected by Hurricane Harvey.</p>
<p>This study is set in the Houston metropolitan area, home to the second largest population of Vietnamese Americans (<xref ref-type="bibr" rid="ref48">48</xref>). At the time of the study, little was known about the Vietnamese American experiences from Hurricane Harvey in 2017, the second costliest storm to mainland U.S. since 1990 (<xref ref-type="bibr" rid="ref49">49</xref>). This study thus aims to examine the association between social support and depressive symptom development within a community in the Houston-area that was severely impacted by Hurricane Harvey. We hypothesized that a high level of social support was likely associated with reduced depressive symptom development among Vietnamese Americans post-Hurricane Harvey.</p>
</sec>
<sec sec-type="materials|methods" id="sec2">
<title>Materials and methods</title>
<sec id="sec3">
<title>Data collection and sample</title>
<p>In partnership with Boat People SOS (BPSOS)-Houston, a non-profit social and legal service provider, serving primarily first-generation Vietnamese Americans in the area, 120 participants were selected at random from a list of 600 BPSOS-Houston clients. One-on-one interviews were conducted using a structured survey between November 2018 and February 2019, approximately 1&#x2009;year after the storm. Participant selection criteria were: (1) be a Vietnamese American aged 18 or older; (2) have experienced Hurricane Harvey; and (3) received direct or indirect assistance related to the hurricane through BPSOS-Houston. Study participants are not representative of all Vietnamese Americans in Houston-area, but of those affected residents seeking assistance post-storm at BPSOS-Houston. The questionnaire cross-sectionally asked questions about depressive symptoms experienced after the storm, perceptions of social support and embeddedness, self-rated physical and mental health after the storm, and hurricane related damages and losses. We also collected information on socio-demographic characteristics, English language skills and language preference, healthcare access, and pre-storm characteristics among participants, including employment status and residency. Interviewers, trained by the Principal Investigator in ethical conduct, protection of participants&#x2019; privacy and confidentiality, and interview skills, conducted data collection in English or Vietnamese, based on participants&#x2019; preference. The Tulane University&#x2019;s Institutional Review Board provided approval for this study.</p>
</sec>
<sec id="sec4">
<title>Variables</title>
<p>Our outcome of interest is depressive symptoms captured by the Vietnamese Depression Scale (<xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). The Vietnamese Depression Scale was originally developed for Vietnamese refugees in the U.S. by Kinzie and colleagues (<xref ref-type="bibr" rid="ref51">51</xref>) in 1982 to assess depression with somatic symptoms prevalent among Asian populations. Validity testing of the Vietnamese Depression Scale demonstrated that it appears to be a psychologically sound tool for screening depressive symptomatology among community dwelling Vietnamese refugees in Houston, Texas (<xref ref-type="bibr" rid="ref50">50</xref>). The scale included 18 items that assessed emotional distress within the past 7&#x2009;days of the interview. These items included loss of appetite, loss of concentration, exposure to persistent pain, and the exhibition of hopelessness, tiredness, sadness, frustration, discouragement, desperation, exhaustion, disgraced, anger, and craziness. The scale demonstrated excellent internal consistency (Cronbach&#x2019;s alpha&#x2009;=&#x2009;0.90) among this sample. A sum of symptoms present, ranging from zero (lowest) to 18 (highest), created the overall depressive symptom score. Existing literature proposed two Vietnamese Depression Scale cut-off points for the presence of major depression: &#x2265;12 symptoms (<xref ref-type="bibr" rid="ref52">52</xref>) and &#x2265;13 symptoms (<xref ref-type="bibr" rid="ref53">53</xref>). The first study tested the cut-off point among newly arrived (i.e., &#x2264;6&#x2009;months) Vietnamese refugees to the U.S. using a modified 15-item Vietnamese Depression Scale (<xref ref-type="bibr" rid="ref52">52</xref>). We decided against using the cut-off points to not lose detailed information applicable to our study. We used the overall depressive symptom score in its continuous forms in our analysis.</p>
<p>Our key independent variable is social support measured by the Louisville Social Support Scale (LSSS) (<xref ref-type="bibr" rid="ref54">54</xref>&#x2013;<xref ref-type="bibr" rid="ref56">56</xref>). The LSSS measures the extent and closeness of one&#x2019;s social network and the overall degree of satisfaction with support provided by that network overtime. Respondents were asked to reflect on the social support network in totality before providing an average rating of the support provided by the network. The 13 items within the LSSS asked about how frequently participants saw family, friends, or neighbors; the extent of involvement in community organizations; and how much help they could expect to receive from family, friends, or neighbors during an emergency. The LSSS centers on two subscales, social integration or embeddedness within a social network (i.e., social embeddedness), and expected support or help. Expected support assesses specific expectations of help in an emergency from family, friends, and the community; therefore, measures perceived social support (<xref ref-type="bibr" rid="ref54">54</xref>). All responses were categorical, and the number of responses category for each question ranged from three to five; thus, it was necessary to standardize all the items first before creating an averaged scale. The scale demonstrated very good internal consistency (Cronbach&#x2019;s alpha&#x2009;=&#x2009;0.80) among our sample. We retained the LSSS score in its continuous form in our analysis. A higher score indicated higher perceived social support and social embeddedness; thus, higher overall social support.</p>
<p>Other key independent variables were those related to Hurricane Harvey, including: (1) damaged home and (2) any sustained injury or illness from the storm; both were binary. We also measured post-disaster self-rated physical health and mental health by component scores of the Medical Outcomes Study Short-Form-12 (SF-12), version 1 (<xref ref-type="bibr" rid="ref57">57</xref>, <xref ref-type="bibr" rid="ref58">58</xref>). We used the Vietnamese version of the SF-12 that was constructed, pretested, and implemented in other larger studies among Vietnamese Americans (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref17">17</xref>, <xref ref-type="bibr" rid="ref59">59</xref>). The SF-12, widely used to assess self-rated mental and physical functioning, includes eight indicators: physical function; role physical; bodily pain; general health; vitality; social functioning; role emotional; and mental health. Indicators used in the mental component score (MCS) development are vitality, social functioning, role emotional, and mental health while indicators used in the physical component score (PCS) development are physical function, role physical, bodily pain, and general health (<xref ref-type="bibr" rid="ref58">58</xref>). We derived the MCS and PCS, ranging from zero (lowest) to 100 (highest), from the eight indicators described above in accordance with the methods outlined by the scale authors, Ware et al. (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref60">60</xref>). Higher scores indicated better mental or physical health status (<xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>).</p>
<p>We used binary coding of no (0) and yes (1) to distinguish healthcare access and other pre-storm characteristics: possession of health insurance; routine physical exam within the last 12&#x2009;months; employment status before the hurricane; and having lived at the same address for five or more years. Individual socio-demographic characteristics collected included: age; sex; monthly income; marital status; education level; religion affiliation; and acculturation level. We coded all basic socio-demographic characteristics, except for religious affiliation, as binary variables of 0 and 1: age (&#x003C;65&#x2009;years or &#x2265;65&#x2009;years of age), sex (female or male), monthly income level (low, i.e., &#x003C;$1,500 of median income or high, i.e., &#x2265;$1,500), marital status (married/living with spouse/partner or never married or divorced/widowed), and highest education level (&#x2264;12 grade or &#x003E;12 grade). We selected the age cut-off at 65 to distinguish older adults versus those of working age, while $1,500 was the median cut-off of the sample&#x2019;s income. We categorized religious affiliations between three classifications: Catholic; Buddhist; and no religions/others. We determined acculturation levels based on language fluency and cultural preference using the Anderson&#x2019;s Acculturation Scale for Southeast Asian immigrants (<xref ref-type="bibr" rid="ref62">62</xref>), then grouped the levels as either low (0) or high (1) using the median acculturation factor analysis score reported among the sample. The 17 items we used to construct the acculturation scale demonstrated very good internal consistency (Cronbach&#x2019;s alpha&#x2009;=&#x2009;0.86). Higher scores indicate higher levels of assimilation to the U.S. society and better command of the English language.</p>
</sec>
<sec id="sec5">
<title>Analysis</title>
<p>We calculated descriptive statistics with bivariate and multivariable analyses using Stata17 (<xref ref-type="bibr" rid="ref63">63</xref>). We used linear regression modeling to assess the association between social support and depressive symptom score while controlling for Hurricane Harvey-related variables and socio-demographic characteristics in Model 1 through Model 3. The goal of these analyses was to determine whether and how social support affected post-storm depression. To further distinguish the effect of social support on depressive symptoms regardless of post-storm health status, we controlled for self-rated MCS and PCS within Model 4. We reported the beta coefficient (<italic>b</italic>) and standard error (S.E.) for each variable; a value of <italic>p</italic> of less than 0.05 indicated statistical significance.</p>
</sec>
</sec>
<sec sec-type="results" id="sec6">
<title>Results</title>
<p>The mean depressive symptom score among participants was 5.94 (standard deviation [SD]&#x2009;=&#x2009;4.84); more specifically, more than half of participants (52.50%) experienced five or more symptoms &#x2013; the median number of symptoms &#x2013; 1&#x2009;year post-storm (not shown in <xref rid="tab1" ref-type="table">Table 1</xref>). The mean SF-12 MCS was 32.63 (S.D. = 4.98) while the mean SF-12 PCS was 39.78 (S.D. = 10.15). Although 75.83% of participants experienced storm-related home damages, less than a quarter of participants experienced injuries or illnesses due to the storm (<xref rid="tab1" ref-type="table">Table 1</xref>). The mean age of participants was 57 and 71.43% were below the age of 65. The distributions of sex and education level among participants were relatively even (<xref rid="tab2" ref-type="table">Table 2</xref>). The mean monthly income among participants was $1,903 (not shown in <xref rid="tab2" ref-type="table">Table 2</xref>) while the median monthly income was $1,500. Prior to Hurricane Harvey, 66.67% of participants had employment and the majority (70.00%) had consistent residency pre- and post-storm. The percentage of uninsured participants was high (34.17%) compared to the national percentage of uninsured Vietnamese Americans. Most participants (69.17%) had a routine physical exam within the last 12&#x2009;months prior to the interview. About half of participants indicated a high level of acculturation.</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Distribution of post-disaster outcomes and Hurricane Harvey-relatedcharacteristics among study sample of Vietnamese Americans (<italic>N</italic>&#x2009;=&#x2009;120) in Houston, 2018&#x2013;2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Mean or %</th>
<th align="center" valign="top">S.D.</th>
<th align="center" valign="top">Min.</th>
<th align="center" valign="top">Max.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Post-Disaster Outcomes</td>
</tr>
<tr>
<td align="left" valign="bottom">Depressive Symptom Score</td>
<td align="char" valign="bottom" char=".">5.94</td>
<td align="char" valign="bottom" char=".">(4.84)</td>
<td align="char" valign="bottom" char=".">0</td>
<td align="char" valign="bottom" char=".">18</td>
</tr>
<tr>
<td align="left" valign="bottom">Social Support Score (LSSS<xref rid="tfn1" ref-type="table-fn"><sup>a</sup></xref>)</td>
<td align="char" valign="bottom" char=".">&#x2212;0.00</td>
<td align="char" valign="bottom" char=".">(0.55)</td>
<td align="char" valign="bottom" char=".">&#x2212;1.02176</td>
<td align="char" valign="bottom" char=".">1.332634</td>
</tr>
<tr>
<td align="left" valign="bottom">Mental Health Score Post-Storm (SF-12 MCS<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref>)</td>
<td align="char" valign="bottom" char=".">32.63</td>
<td align="char" valign="bottom" char=".">(4.98)</td>
<td align="char" valign="bottom" char=".">19.47309</td>
<td align="char" valign="bottom" char=".">45.63055</td>
</tr>
<tr>
<td align="left" valign="bottom">Physical Health Score Post-Storm (SF-12 PCS<xref rid="tfn2" ref-type="table-fn"><sup>b</sup></xref>)</td>
<td align="char" valign="bottom" char=".">39.78</td>
<td align="char" valign="bottom" char=".">(10.15)</td>
<td align="char" valign="bottom" char=".">17.55211</td>
<td align="char" valign="bottom" char=".">58.26475</td>
</tr>
<tr>
<td align="left" valign="middle">Hurricane-Harvey Related Characteristics</td>
</tr>
<tr>
<td align="left" valign="bottom">Experienced Damaged Home Due To Storm</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char=".">24.17%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char=".">75.83%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Sustained Injury/Illness Due To Storm</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">No</td>
<td align="char" valign="bottom" char=".">75.83%</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="bottom">Yes</td>
<td align="char" valign="bottom" char=".">24.17%</td>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn1"><label>a</label><p>Louisville Social Support Scale <italic>z</italic>-score transformed.</p></fn>
<fn id="tfn2"><label>b</label><p>Derived from SF-12 composite scores.</p></fn>
<p>S.D., standard deviation; Min, minimum; Max, maximum.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Distribution of socio-demographic characteristics among study sample of Vietnamese Americans (<italic>N</italic>&#x2009;=&#x2009;120) in Houston, 2018&#x2013;2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variables</th>
<th align="center" valign="top">Percentage</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Age</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;65</td>
<td align="char" valign="bottom" char=".">71.43%</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;65</td>
<td align="char" valign="bottom" char=".">28.57%</td>
</tr>
<tr>
<td align="left" valign="middle">Sex</td>
</tr>
<tr>
<td align="left" valign="middle">Female</td>
<td align="char" valign="bottom" char=".">53.33%</td>
</tr>
<tr>
<td align="left" valign="middle">Male</td>
<td align="char" valign="bottom" char=".">46.67%</td>
</tr>
<tr>
<td align="left" valign="middle">Monthly income (Median&#x2009;=&#x2009;$1,500)</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003C;$1,500</td>
<td align="char" valign="bottom" char=".">41.67%</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2265;$1,500</td>
<td align="char" valign="bottom" char=".">58.33%</td>
</tr>
<tr>
<td align="left" valign="middle">Health insurance</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="bottom" char=".">34.17%</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="bottom" char=".">65.83%</td>
</tr>
<tr>
<td align="left" valign="middle">Married/Partnered</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="bottom" char=".">36.67%</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="bottom" char=".">63.33%</td>
</tr>
<tr>
<td align="left" valign="middle">Education level</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2264;12 grade</td>
<td align="char" valign="bottom" char=".">54.17%</td>
</tr>
<tr>
<td align="left" valign="middle">&#x003E;12 grade</td>
<td align="char" valign="bottom" char=".">45.83%</td>
</tr>
<tr>
<td align="left" valign="middle">Religion</td>
</tr>
<tr>
<td align="left" valign="middle">Catholic</td>
<td align="char" valign="bottom" char=".">47.50%</td>
</tr>
<tr>
<td align="left" valign="middle">Buddhist</td>
<td align="char" valign="bottom" char=".">40.83%</td>
</tr>
<tr>
<td align="left" valign="middle">No religion/others</td>
<td align="char" valign="bottom" char=".">11.67%</td>
</tr>
<tr>
<td align="left" valign="middle">Employed pre-hurricane Harvey</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="bottom" char=".">33.33%</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="bottom" char=".">66.67%</td>
</tr>
<tr>
<td align="left" valign="middle">Living at the same address for &#x2265;5 years</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="bottom" char=".">30.00%</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="bottom" char=".">70.00%</td>
</tr>
<tr>
<td align="left" valign="middle">Had routine physical exam within last 12 months</td>
</tr>
<tr>
<td align="left" valign="middle">No</td>
<td align="char" valign="bottom" char=".">30.83%</td>
</tr>
<tr>
<td align="left" valign="middle">Yes</td>
<td align="char" valign="bottom" char=".">69.17%</td>
</tr>
<tr>
<td align="left" valign="middle">Acculturation level</td>
</tr>
<tr>
<td align="left" valign="middle">Low</td>
<td align="char" valign="bottom" char=".">49.17%</td>
</tr>
<tr>
<td align="left" valign="middle">High</td>
<td align="char" valign="bottom" char=".">50.83%</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Within <xref rid="tab3" ref-type="table">Table 3</xref>, we presented the results to our models that examined the predictors of depressive symptom scores among the participants. Model 1 included only social support as measured by the LSSS to predict depressive symptom scores. We added socio-demographic characteristics in Model 2 to ensure that the observed association between social support and depressive symptom development was not confounded by factors such as income and acculturation, while Model 3 included Hurricane Harvey-related characteristics. In Model 4, we added SF-12 MCS and SF-12 PCS measures to assess if the observed association between social support and depressive symptomology was confounded by self-rated mental health and/or physical health after the hurricane.</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Multivariable linear regression models for the effects of social support, Hurricane Harvey-related characteristics, and other covariates on depressive symptom score among study sample of Vietnamese Americans (<italic>N</italic>&#x2009;=&#x2009;120) in Houston, 2018&#x2013;2019.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Variables</th>
<th align="center" valign="top" colspan="2">Model 1</th>
<th align="center" valign="top" colspan="2">Model 2</th>
<th align="center" valign="top" colspan="2">Model 3</th>
<th align="center" valign="top" colspan="2">Model 4</th>
</tr>
<tr>
<th align="center" valign="top">Coeff.</th>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Coeff.</th>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Coeff.</th>
<th align="center" valign="top">S.E.</th>
<th align="center" valign="top">Coeff.</th>
<th align="center" valign="top">S.E.</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top">Social Support Score (LSSS<xref rid="tfn3" ref-type="table-fn"><sup>a</sup></xref>)</td>
<td align="char" valign="top" char=".">&#x2212;1.91&#x002A;</td>
<td align="char" valign="top" char=".">(0.81)</td>
<td align="char" valign="top" char=".">&#x2212;2.31&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">(0.85)</td>
<td align="char" valign="top" char=".">&#x2212;2.34&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">(0.80)</td>
<td align="char" valign="top" char=".">&#x2212;1.80&#x002A;</td>
<td align="char" valign="top" char=".">(0.76)</td>
</tr>
<tr>
<td align="left" valign="top">&#x2265;65&#x2009;Years Of Age</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0.38</td>
<td align="char" valign="top" char=".">(1.23)</td>
<td align="char" valign="top" char=".">0.26</td>
<td align="char" valign="top" char=".">(1.15)</td>
<td align="char" valign="top" char=".">&#x2212;0.32</td>
<td align="char" valign="top" char=".">(1.13)</td>
</tr>
<tr>
<td align="left" valign="top">Male</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.38</td>
<td align="char" valign="top" char=".">(0.92)</td>
<td align="char" valign="top" char=".">&#x2212;0.77</td>
<td align="char" valign="top" char=".">(0.87)</td>
<td align="char" valign="top" char=".">&#x2212;0.54</td>
<td align="char" valign="top" char=".">(0.87)</td>
</tr>
<tr>
<td align="left" valign="top">Income Level&#x2009;&#x2265;&#x2009;$1,500</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.13</td>
<td align="char" valign="top" char=".">(0.98)</td>
<td align="char" valign="top" char=".">&#x2212;0.04</td>
<td align="char" valign="top" char=".">(0.92)</td>
<td align="char" valign="top" char=".">&#x2212;0.27</td>
<td align="char" valign="top" char=".">(0.89)</td>
</tr>
<tr>
<td align="left" valign="top">Insured</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;1.42</td>
<td align="char" valign="top" char=".">(0.93)</td>
<td align="char" valign="top" char=".">&#x2212;1.15</td>
<td align="char" valign="top" char=".">(0.88)</td>
<td align="char" valign="top" char=".">&#x2212;0.80</td>
<td align="char" valign="top" char=".">(0.84)</td>
</tr>
<tr>
<td align="left" valign="top">Married/Partnered</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0.31</td>
<td align="char" valign="top" char=".">(1.04)</td>
<td align="char" valign="top" char=".">0.41</td>
<td align="char" valign="top" char=".">(0.97)</td>
<td align="char" valign="top" char=".">0.77</td>
<td align="char" valign="top" char=".">(1.01)</td>
</tr>
<tr>
<td align="left" valign="top">Education Level&#x2009;&#x003E;&#x2009;12 Grade</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;2.04&#x002A;</td>
<td align="char" valign="top" char=".">(0.93)</td>
<td align="char" valign="top" char=".">&#x2212;1.91&#x002A;</td>
<td align="char" valign="top" char=".">(0.87)</td>
<td align="char" valign="top" char=".">&#x2212;0.82</td>
<td align="char" valign="top" char=".">(0.88)</td>
</tr>
<tr>
<td align="left" valign="top">Religion</td>
</tr>
<tr>
<td align="left" valign="top">Catholic</td>
<td/>
<td/>
<td align="char" valign="top" char=".">0.00</td>
<td align="char" valign="top" char=".">(0.00)</td>
<td align="char" valign="top" char=".">0.00</td>
<td align="char" valign="top" char=".">(0.00)</td>
<td align="char" valign="top" char=".">0.00</td>
<td align="char" valign="top" char=".">(0.00)</td>
</tr>
<tr>
<td align="left" valign="top">Buddhist</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;1.44</td>
<td align="char" valign="top" char=".">(1.00)</td>
<td align="char" valign="top" char=".">&#x2212;1.41</td>
<td align="char" valign="top" char=".">(0.94)</td>
<td align="char" valign="top" char=".">&#x2212;1.32</td>
<td align="char" valign="top" char=".">(0.94)</td>
</tr>
<tr>
<td align="left" valign="top">No Religion/Others</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;1.16</td>
<td align="char" valign="top" char=".">(1.47)</td>
<td align="char" valign="top" char=".">&#x2212;1.20</td>
<td align="char" valign="top" char=".">(1.38)</td>
<td align="char" valign="top" char=".">&#x2212;2.20</td>
<td align="char" valign="top" char=".">(1.32)</td>
</tr>
<tr>
<td align="left" valign="top">Employed Pre-Storm</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;2.46&#x002A;</td>
<td align="char" valign="top" char=".">(1.17)</td>
<td align="char" valign="top" char=".">&#x2212;2.07</td>
<td align="char" valign="top" char=".">(1.11)</td>
<td align="char" valign="top" char=".">&#x2212;0.40</td>
<td align="char" valign="top" char=".">(1.08)</td>
</tr>
<tr>
<td align="left" valign="top">Living At The Same Address For &#x2265;5&#x2009;Years</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;1.50</td>
<td align="char" valign="top" char=".">(0.97)</td>
<td align="char" valign="top" char=".">&#x2212;1.26</td>
<td align="char" valign="top" char=".">(0.91)</td>
<td align="char" valign="top" char=".">&#x2212;0.83</td>
<td align="char" valign="top" char=".">(0.87)</td>
</tr>
<tr>
<td align="left" valign="top">Had Routine Physical Exam Within Last 12&#x2009;Months</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.16</td>
<td align="char" valign="top" char=".">(1.04)</td>
<td align="char" valign="top" char=".">0.11</td>
<td align="char" valign="top" char=".">(0.98)</td>
<td align="char" valign="top" char=".">0.17</td>
<td align="char" valign="top" char=".">(0.97)</td>
</tr>
<tr>
<td align="left" valign="top">Has High Acculturation Level</td>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.70</td>
<td align="char" valign="top" char=".">(0.89)</td>
<td align="char" valign="top" char=".">&#x2212;1.09</td>
<td align="char" valign="top" char=".">(0.84)</td>
<td align="char" valign="top" char=".">&#x2212;1.20</td>
<td align="char" valign="top" char=".">(0.83)</td>
</tr>
<tr>
<td align="left" valign="top">Experienced Damaged Home Due To Storm</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.21</td>
<td align="char" valign="top" char=".">(1.01)</td>
<td align="char" valign="top" char=".">&#x2212;0.40</td>
<td align="char" valign="top" char=".">(1.04)</td>
</tr>
<tr>
<td align="left" valign="top">Sustained Injury/Ill Due To Storm</td>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">3.90&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">(0.97)</td>
<td align="char" valign="top" char=".">1.88</td>
<td align="char" valign="top" char=".">(1.05)</td>
</tr>
<tr>
<td align="left" valign="top">Mental Health Score Post-Storm (SF-12 MCS<xref rid="tfn4" ref-type="table-fn"><sup>b</sup></xref>)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.13</td>
<td align="char" valign="top" char=".">(0.09)</td>
</tr>
<tr>
<td align="left" valign="top">Physical Health Score Post-Storm (SF-12 PCS<xref rid="tfn4" ref-type="table-fn"><sup>b</sup></xref>)</td>
<td/>
<td/>
<td/>
<td/>
<td/>
<td/>
<td align="char" valign="top" char=".">&#x2212;0.24&#x002A;&#x002A;&#x002A;</td>
<td align="char" valign="top" char=".">(0.05)</td>
</tr>
<tr>
<td align="left" valign="top">Intercept</td>
</tr>
<tr>
<td align="left" valign="top">Number Of Observations</td>
<td align="char" valign="top" char=".">118.00</td>
<td/>
<td align="char" valign="top" char=".">117.00</td>
<td/>
<td align="char" valign="top" char=".">117.00</td>
<td/>
<td align="char" valign="top" char=".">103.00</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">F Statistic</td>
<td align="char" valign="top" char=".">5.62</td>
<td/>
<td align="char" valign="top" char=".">2.21</td>
<td/>
<td align="char" valign="top" char=".">3.28</td>
<td/>
<td align="char" valign="top" char=".">4.64</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">R-Squared</td>
<td align="char" valign="top" char=".">0.05</td>
<td/>
<td align="char" valign="top" char=".">0.22</td>
<td/>
<td align="char" valign="top" char=".">0.33</td>
<td/>
<td align="char" valign="top" char=".">0.48</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Log Likelihood</td>
<td align="char" valign="top" char=".">&#x2212;350.65</td>
<td/>
<td align="char" valign="top" char=".">&#x2212;336.36</td>
<td/>
<td align="char" valign="top" char=".">&#x2212;327.53</td>
<td/>
<td align="char" valign="top" char=".">&#x2212;275.89</td>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn3"><label>a</label><p>Louisville Social Support Scale <italic>z</italic>-score transformed.</p></fn>
<fn id="tfn4"><label>b</label><p>Derived from SF-12 composite scores.</p></fn>
<p>&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.001, &#x002A;&#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.01, and &#x002A;<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05. Coeff, coefficient; S.E., standard error.</p>
</table-wrap-foot>
</table-wrap>
<p>Social support, consistently across all four models, had a negative association with the outcome, in which higher social support was associated with lower depressive symptom scores (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05). Higher education was significantly related to lower depressive symptom scores in both Model 2 and Model 3 (<italic>p</italic>&#x2009;&#x003C;&#x2009;0.05); it seemed protective against depression symptom development in Model 4 but without statistical significance (<italic>b</italic>&#x2009;=&#x2009;&#x2212;0.82, <italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). Pre-storm employment had a negative association with depressive symptom score in Model 2 (<italic>b</italic>&#x2009;=&#x2009;&#x2212;2.46, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.05) but became statistically insignificant in Model 3 and Model 4.</p>
<p>Those who sustained injuries or illnesses from the storm experienced almost four points higher depressive symptom scores compared to those that did not in Model 3 (<italic>b</italic>&#x2009;=&#x2009;3.90, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.01). However, storm injuries or illnesses lost its statistical significance in Model 4. High self-rated physical health (<italic>b</italic>&#x2009;=&#x2009;&#x2212;0.24, <italic>p</italic>&#x2009;&#x003C;&#x2009;0.001) was a statistically significant predictor of depressive symptom score, in which higher physical health was associated with lower depressive symptom scores in Model 4. The results implied that the influence of storm-related injuries or illnesses on depressive symptom development following Hurricane Harvey was explained in part by the participants&#x2019; perception of overall physical health 1&#x2009;year post-storm; therefore, sustaining injuries or illnesses from the storm rendered marginally statistical significance (<italic>p</italic>&#x2009;=&#x2009;0.08) in Model 4.</p>
<p>Residency tenure and high acculturation level consistently showed negative, but statistically insignificant, associations with depressive symptom scores across models. Individual characteristics, including age, sex, income level, health insurance status, marital status, and religion were not associated with the outcome in any models.</p>
<p>We conducted multicollinearity assessments in Model 4 using the variance inflation factor (VIF) metric to examine the correlation and strength of correlation between the predictor variables in the models. None of the VIF values were high, while the mean VIF value was 1.39, which indicated that multicollinearity was not a concern. In addition, a correlation matrix revealed that predictor variables were not highly correlated to one another (not shown).</p>
</sec>
<sec sec-type="discussions" id="sec7">
<title>Discussion</title>
<p>Our study results documented the protective impact that social support has on depressive symptom development post-Hurricane Harvey. The results confirmed our hypothesis that a high presence of social support lowers depressive symptom scores among Vietnamese Americans post-Hurricane Harvey, even when accounting for Hurricane Harvey-related home damages and storm-related injury or illness. More so, the negative association between social support and depressive symptom development remained when accounting for both post-storm self-rated mental and physical health.</p>
<p>Better physical health was associated with fewer depressive symptoms. High acculturation level indicated better assimilation into U.S. society and better knowledge of the English language which may be helpful for Vietnamese Americans to navigate recovery resource access; thus, mitigating post-storm distress. However, in our study, although high acculturation level decreased depressive symptom development, the association lacked statistical significance (<italic>b</italic>&#x2009;=&#x2009;&#x2212;1.19, <italic>p</italic>&#x2009;&#x003E;&#x2009;0.05). Inconsistent with existing studies, marriage/partnership did not have a statistically significant protective relationship to psychological distress development post-storm (<xref ref-type="bibr" rid="ref4">4</xref>, <xref ref-type="bibr" rid="ref6">6</xref>, <xref ref-type="bibr" rid="ref36">36</xref>, <xref ref-type="bibr" rid="ref64">64</xref>). Interestingly, despite statistical insignificance, home damages due to the storm did not elevate depressive symptoms among our participants like it did for Vietnamese Americans affected by Hurricane Katrina (<xref ref-type="bibr" rid="ref32">32</xref>).</p>
<p>Our results emphasized that Vietnamese Americans could be vulnerable to the adverse impacts of natural disasters long after the storm. More than 1&#x2009;year post-storm, depressive symptoms remained prevalent among participants. Prolonged depressive symptoms may contribute to negative long-term well-being and health outcomes among Vietnamese Americans impacted by Hurricane Harvey. Disaster-related pessimistic thoughts are linked to physical health problems, more specifically, existing studies revealed that enduring negative thoughts contribute to anxiety disorders and chronic illnesses such as cardiovascular diseases over long durations (<xref ref-type="bibr" rid="ref65">65</xref>, <xref ref-type="bibr" rid="ref66">66</xref>). Thus, prolonged psychological distress may result in poor recovery to pre-storm well-being and health among Vietnamese Americans affected by the storm (<xref ref-type="bibr" rid="ref44">44</xref>, <xref ref-type="bibr" rid="ref67">67</xref>). The implication is that negative thoughts post-disaster can be part of a pathway to poorer health and subsequently group health disparities. Our results also indicated that on average, Vietnamese Americans had lower self-rated mental and physical health outcomes post-storm compared to the national standards of 50 (SD&#x2009;=&#x2009;10). The stress from rebuilding after the storm may have cascading health impacts among this subpopulation but unexplored in existing literature. Such results emphasize that Vietnamese Americans&#x2019; well-being, especially psychological distress, immediately and long-term post-storm should be considered in recovery efforts.</p>
<p>Our study was limited by a small sample size and participant recruitment from a list of only BPSOS-Houston clients, even though the selection was random. Thus, the sample may not necessarily be representative of all Vietnamese Americans in the area, some of whom might be lucky enough to not experience Hurricane Harvey. In addition, the cross-sectional data did not allow us to assess depressive symptoms and the health status of participants prior to the storm, which limited causal references regarding the storm&#x2019;s impacts. Future research using larger samples and replication to Vietnamese Americans outside of the BPSOS-Houston network would build on the strengths of our study. Also, continued long-term follow-up using a longitudinal approach would be beneficial for better understanding of how social support is associated with post-storm psychological distress across time.</p>
</sec>
<sec sec-type="conclusions" id="sec8">
<title>Conclusion</title>
<p>Overall, our study added to the limited literature on post-disaster outcomes and the positive impacts of social support among immigrants and within the Vietnamese Houstonian population. Despite cross-sectional data limitations, our study findings have significant policy implications as the U.S. Gulf Coast continues to experience increased prevalence of powerful hurricanes (<xref ref-type="bibr" rid="ref68">68</xref>, <xref ref-type="bibr" rid="ref69">69</xref>). Our results suggest that mental well-being after hurricanes among Vietnamese Americans should be prioritized by public health practitioners and emergency management entities. Programs and services should focus on fostering mental well-being and mitigating psychological distress through the provision of social support and community cohesion resources. Better efforts to integrate Vietnamese Americans into the larger Houston-area community pre-storms would contribute to building social embeddedness which may be beneficial in preparation for additional future hurricane exposures. As future hurricanes are expected to be stronger and more prevalent, inclusive preparedness efforts are critical. Other immigrant groups with similar characteristics as Vietnamese Americans may share similar disaster vulnerabilities highlighted by our study.</p>
</sec>
<sec sec-type="data-availability" id="sec9">
<title>Data availability statement</title>
<p>The datasets presented in this article are not readily available because protection of participants&#x2019; privacy. Requests to access the datasets should be directed to MD, <email>mdo@tulane.edu</email>.</p>
</sec>
<sec id="sec10">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by the Institutional Review Board of Tulane University. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="sec11">
<title>Author contributions</title>
<p>NP: conceptualization, formal analysis, methodology, software, writing &#x2013; original draft, writing &#x2013; review and editing, and visualization. MD: conceptualization, data curation, funding acquisition, methodology, project administrations, supervision, and writing &#x2013; review and editing. JD: project administrations and writing &#x2013; review and editing. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec sec-type="funding-information" id="sec12">
<title>Funding</title>
<p>This project was funded by the Tulane University&#x2019;s Carol Lavin Bernick Faculty Grant and the Tulane Japan Friendship Award with MDo, MPH, MD, PH as Principal Investigator.</p>
</sec>
<sec sec-type="COI-statement" id="sec13">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
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