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<front>
<journal-meta>
<journal-id journal-id-type="pmc">IJMHP</journal-id>
<journal-id journal-id-type="nlm-ta">IJMHP</journal-id>
<journal-id journal-id-type="publisher-id">IJMHP</journal-id>
<journal-title-group>
<journal-title>International Journal of Mental Health Promotion</journal-title>
</journal-title-group>
<issn pub-type="epub">2049-8543</issn>
<issn pub-type="ppub">1462-3730</issn>
<publisher>
<publisher-name>Tech Science Press</publisher-name>
<publisher-loc>USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">68556</article-id>
<article-id pub-id-type="doi">10.32604/ijmhp.2025.068556</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Strengths in Struggle: Character Strengths Use and Psychological Well-Being in the Slums of the Philippines</article-title>
<alt-title alt-title-type="left-running-head">Strengths in Struggle: Character Strengths Use and Psychological Well-Being in the Slums of the Philippines</alt-title>
<alt-title alt-title-type="right-running-head">Strengths in Struggle: Character Strengths Use and Psychological Well-Being in the Slums of the Philippines</alt-title>
</title-group>
<contrib-group>
<contrib id="author-1" contrib-type="author" corresp="yes">
<name name-style="western"><surname>Matsuguma</surname><given-names>Shinichiro</given-names></name><email>smatsugumar@up.edu.ph</email></contrib>
<aff id="aff-1"><institution>Department of Psychology, University of the Philippines Diliman</institution>, <addr-line>Quezon City, 1101</addr-line>, <country>Philippines</country></aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><label>&#x002A;</label>Corresponding Author: Shinichiro Matsuguma. Email: <email>smatsugumar@up.edu.ph</email></corresp>
</author-notes>
<pub-date date-type="collection" publication-format="electronic">
<year>2025</year>
</pub-date>
<pub-date date-type="pub" publication-format="electronic">
<day>31</day><month>10</month><year>2025</year>
</pub-date>
<volume>27</volume>
<issue>10</issue>
<fpage>1595</fpage>
<lpage>1609</lpage>
<history>
<date date-type="received">
<day>31</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2025 The Author.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Published by Tech Science Press.</copyright-holder>
<license xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This work is licensed under a <ext-link ext-link-type="uri" xlink:type="simple" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="TSP_IJMHP_68556.pdf"></self-uri>
<abstract>
<sec>
<title>Objectives</title>
<p>Character strengths use has been studied in WEIRD (Western, Educated, Industrialized, Rich, and Democratic) societies, where it is related to happiness, resilience, and reduced distress. However, this relationship in harsh living conditions remains unstudied. This study aims to examine the relationship between character strengths use and psychological well-being among slum dwellers in the Philippines, where harsh living conditions can create severe psychological challenges.</p>
</sec>
<sec>
<title>Methods</title>
<p>A correlational analysis was conducted in a slum community in Cavite City, Philippines, with 120 participants completing self-report questionnaires, including the Strengths Use Scale (SUS), Flourishing Scale (FS), and Kessler Psychological Distress Scale (K10). Correlation and regression analyses examined whether strengths use predicts psychological well-being while controlling for psychological distress and demographic factors such as family monthly income.</p>
</sec>
<sec>
<title>Results</title>
<p>A significant positive correlation was found between strengths use and psychological well-being (<italic>r</italic> &#x003D; 0.39, <italic>p</italic> &#x003C; 0.01), and hierarchical linear regression analysis confirmed that SUS significantly predicted FS (<italic>&#x03B2;</italic> &#x003D; 0.37, 95% CI &#x003D; [0.08, 0.22]). Despite experiencing high levels of psychological distress (Mean &#x003D; 27.22, SD &#x003D; 6.78), participants demonstrated relatively higher FS scores compared to more privileged Filipino student samples. These findings suggest that character strengths use act as psychological resources even in challenging environments.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>The study supports the Dual-Factor Model of Mental Health, showing that well-being and ill-being can coexist. Strengths use may help slum dwellers cope with ongoing challenges, highlighting the potential of strengths-based interventions to foster resilience and well-being in high-adversity urban slum settings. Future research should explore how family and cultural values support well-being in difficult environments.</p>
</sec>
</abstract>
<kwd-group kwd-group-type="author">
<kwd>Strengths use</kwd>
<kwd>positive psychology</kwd>
<kwd>psychological well-being</kwd>
<kwd>slum</kwd>
<kwd>poverty</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<label>1</label>
<title>Introduction</title>
<p>Character strengths, a key component of positive psychology, have been extensively studied in WEIRD (Western, Educated, Industrialized, Rich, and Democratic) societies, where they have been linked to greater happiness, life satisfaction, and reduced depressive symptoms [<xref ref-type="bibr" rid="ref-1">1</xref>&#x2013;<xref ref-type="bibr" rid="ref-5">5</xref>]. Character strengths also serve as protective factors against psychological distress, fostering resilience and coping mechanisms [<xref ref-type="bibr" rid="ref-6">6</xref>&#x2013;<xref ref-type="bibr" rid="ref-8">8</xref>]. However, the applicability of these findings in non-WEIRD contexts, particularly in low-income settings with high adversity, remains unclear [<xref ref-type="bibr" rid="ref-9">9</xref>]. This research gap raises critical questions about whether the benefits of character strengths extend beyond affluent and well-resourced environments.</p>
<p>Existing studies on psychological well-being in low-income settings have produced paradoxical findings. While economic hardship is often associated with heightened psychological distress [<xref ref-type="bibr" rid="ref-10">10</xref>], some studies suggest that well-being levels among impoverished populations may be higher than expected [<xref ref-type="bibr" rid="ref-11">11</xref>&#x2013;<xref ref-type="bibr" rid="ref-13">13</xref>]. This paradox underscores the importance of identifying psychological assets, such as character strengths, that may mitigate the adverse effects of poverty. Despite the apparent relevance of character strengths in such contexts, research in low- and middle-income countries (LMICs) remains scarce. A systematic review by Jeffery-Schwikkard et al. found that only 18 out of 164 studies examined the effects of character strengths on mental health in LMICs [<xref ref-type="bibr" rid="ref-14">14</xref>]. Similarly, Leventhal et al. analyzed strengths-based resiliency programs for adolescent girls&#x2019; emotional, social, physical, and educational well-being in one of the poorest cities in India [<xref ref-type="bibr" rid="ref-15">15</xref>], yet broader investigations into character strengths use within impoverished urban communities remain limited.</p>
<p>The Philippines presents a compelling setting for studying character strengths use in adversity due to its significant urban population, with a substantial proportion residing in informal settlements. As of 2020, approximately 54% of the population lived in urban areas, and an estimated 43% of urban residents resided in slums [<xref ref-type="bibr" rid="ref-16">16</xref>,<xref ref-type="bibr" rid="ref-17">17</xref>]. According to UN-Habitat, slum households are defined by the absence of one or more essential living conditions: durable housing, access to clean water and sanitation, sufficient living space, and secure tenure [<xref ref-type="bibr" rid="ref-18">18</xref>]. These conditions contribute to chronic psychological distress, including depression and anxiety [<xref ref-type="bibr" rid="ref-19">19</xref>]. Given this context, understanding the role of character strengths in promoting well-being among slum residents is of significant theoretical and practical importance.</p>
<p>Several theoretical frameworks support the relevance of character strengths in high-adversity contexts. The capability approach defines well-being as the freedom to achieve valued forms of living [<xref ref-type="bibr" rid="ref-20">20</xref>,<xref ref-type="bibr" rid="ref-21">21</xref>]; in this view, character strengths can be seen as internal capabilities that enable meaningful action despite external constraints. Similarly, resilience theory emphasizes the importance of psychological assets in navigating chronic adversity [<xref ref-type="bibr" rid="ref-22">22</xref>]. Socioecological models also highlight the interaction between individual traits and broader systems such as family, community, and culture that influence how strengths are expressed and supported [<xref ref-type="bibr" rid="ref-23">23</xref>]. Together, these theories can justify a deeper examination of psychological strengths in marginalized urban settings.</p>
<p>Therefore, this study investigates the relationship between character strengths use and psychological well-being among slum dwellers in the Philippines. Building on findings from WEIRD societies, the study tests the following hypotheses:</p>
<p><bold>Hypothesis 1:</bold> <italic>Character strengths use will be positively associated with psychological well-being among slum residents</italic>.</p>
<p><bold>Hypothesis 2:</bold> <italic>Character strengths use will remain a significant predictor of psychological well-being, even after controlling for demographic variables and psychological distress</italic>.</p>
<p><bold>Hypothesis 3 (Exploratory):</bold> <italic>Psychological distress may moderate the relationship between strengths use and well-being, such that the positive association between strengths use and well-being may weaken at higher levels of distress</italic>.</p>
<p>By testing these hypotheses, this study aims to inform the development of cost-effective, strengths-based mental health strategies tailored to residents of high-adversity urban environments.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Design, Setting, and Participants</title>
<p>A prospective, correlational research design was utilized since the purpose of the research is to explore the relationship between strengths use and their psychological well-being among the slum dwellers. Participants were recruited from a slum area adjacent to a public cemetery in Cavite City, Philippines. This community consists of approximately 962 households and over 8000 residents. Nestled between the cemetery and a dumpsite, many residents make a living as garbage collectors, while others work as fishermen, construction workers, or vendors. The settlement is on government land, making residency technically illegal. Residents construct makeshift homes from scrap materials, including plywood, tarps, sacks, and rusted galvanized iron sheets. Roofs, often full of holes, are secured with rocks, ropes, and tires to withstand strong winds. Houses are small, with just enough height to stand, and furnished with discarded items such as tables, chairs, electric fans, and televisions salvaged from the dumpsite. Many households lack legal electricity access and resort to unauthorized connections. Families typically consist of four to five members, and food insecurity is prevalent.</p>
<p>The recruitment was conducted between July and September 2023. We visited the site and distributed the following self-report questionnaires and pens to the participants. Data collection was conducted in a group-administrative manner, with five participants completing the questionnaires individually at a time. A translator provided assistance as needed in a private residence near the barangay hall&#x2014;the administrative center of the barangay, the smallest local government unit in the Philippines. This setting was chosen to ensure participant privacy and a comfortable environment for data collection. The surveys were completed on paper and later digitized for analysis. Participants were excluded if they were aged less than 18 years and could not understand and answer the questionnaires in either Filipino or English. The College of Social Sciences and Philosophy Ethics Review Board of the University of the Philippines Diliman approved the research protocol (CSSP-ERB Code: CSSPERB-2023-010), which followed the tenets of the Declaration of Helsinki. Informed consent was obtained from all participants by reading the informed consent, which informed them that their participation was voluntary.</p>
<p>A target sample size of 120 participants was determined based on a power analysis using G&#x002A;Power 3.1.9.7 [<xref ref-type="bibr" rid="ref-24">24</xref>,<xref ref-type="bibr" rid="ref-25">25</xref>] for hierarchical linear regression analysis, with psychological well-being as the dependent variable and eight independent variables. Assuming a medium effect size (<italic>f</italic><sup>2</sup> &#x003D; 0.15), a target power of 0.80, and an alpha level of 0.05, the analysis indicated that 107 participants would be needed. To account for potential attrition and ensure robustness, a final sample size of 120 was selected. The questionnaires were as follows.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Outcome Measures</title>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Strengths Use Scale (SUS)</title>
<p>Strengths use was assessed by the Strengths Use Scale (SUS); the 14 SUS items were evaluated on a five-point Likert scale (ranging from 1&#x2013;5, total range 14&#x2013;70), with higher values corresponding to more frequent strengths use [<xref ref-type="bibr" rid="ref-26">26</xref>]. This scale demonstrates good internal consistency (&#x03B1; &#x003D; 0.94) and satisfactory test&#x2013;retest reliability (r &#x003D; 0.67) over four weeks.</p>
<p>Before completing the SUS, participants were asked to read a list of 24 VIA character strengths and identify five that they believed best represented their core personality. These five self-identified character strengths, referred to as signature strengths, are those that are essential to an individual&#x2019;s core identity, energizing in that expressing them uplifts the person and increases their energy levels, and effortless in that their expression comes naturally and with ease [<xref ref-type="bibr" rid="ref-27">27</xref>]. Participants then completed the SUS items specifically with these signature strengths in mind. This adaptation was intended to focus on their personally meaningful traits, although it shifts the construct being measured from general strengths use to &#x201C;use of one&#x2019;s five self-identified character strengths.&#x201D; As such, caution is warranted in comparing these scores with studies using the original, unmodified SUS scale.</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Flourishing Scale (FS)</title>
<p>Psychological well-being was evaluated by the Flourishing Scale (FS), a measure of psychosocial flourishing based on recent theories of psychological and social well-being [<xref ref-type="bibr" rid="ref-28">28</xref>]. This social-psychological prosperity includes purpose and meaning, supportive relationships, engagement, contribution to others, competence, optimism, being respected, and being a good person. The eight items are evaluated on a seven-point Likert scale (ranging from 1&#x2013;7, total range 7&#x2013;56), with higher values reflecting higher psychological well-being. The scale had high Cronbach&#x2019;s alpha coefficients (0.95) of internal consistency reliability. The Filipino version of FS was used for this study. The Cronbach&#x2019;s alpha reliability coefficient of the scale was 0.87 [<xref ref-type="bibr" rid="ref-29">29</xref>].</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Kessler Psychological Distress Scale-10 (K10)</title>
<p>Psychological distress was assessed by the Kessler Psychological Distress Scale (K10) [<xref ref-type="bibr" rid="ref-30">30</xref>]. The K10 scale consists of 10 questions about emotional states, each with a five-level response scale. The measure can be used as a brief screen to identify levels of distress. The K10 scale had a high Cronbach&#x2019;s alpha (0.88) of internal consistency reliability [<xref ref-type="bibr" rid="ref-31">31</xref>].</p>
<p>Since validated Filipino versions of the SUS and K10 were unavailable, the author translated these instruments specifically for this study. A forward&#x2013;backward translation method was used: a professional bilingual freelance translator first translated the scales into Filipino, and then an independent bilingual colleague, unfamiliar with the original versions, conducted the back-translation into English. The author compared both English versions and resolved any discrepancies by focusing on semantic accuracy and cultural relevance. The translated scales were piloted with 10 residents from the target community to ensure clarity and cultural fit. No significant issues were reported.</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Satisfaction with 12 Life Domains</title>
<p>Participants were asked to rate their satisfaction with twelve different domains of their lives on a scale that went from 1, &#x201C;extremely dissatisfied&#x201D;, to 7, &#x201C;extremely satisfied.&#x201D; The twelve domains were: material resources, friendship, morality, intelligence, food, romantic relationship, family, physical appearance, self, income, housing, and social life. These domains can be categorized as broad (self, material resources, and social life) and specific (morality, physical appearance, intelligence, housing, food, income, friends, family, and romantic relationships). This scale was accompanied by the same series of response faces as the Satisfaction with Life Scale [<xref ref-type="bibr" rid="ref-32">32</xref>], and was used in the study of subjective well-being among the slum dwellers [<xref ref-type="bibr" rid="ref-33">33</xref>]. These 12 domain satisfaction ratings were collected primarily for descriptive purposes, to contextualize participants&#x2019; overall quality of life across multiple life areas. They were not included in the main predictive analyses, as they fell outside the study&#x2019;s primary scope, which focused on character strengths use and psychological well-being.</p>
</sec>
<sec id="s2_2_5">
<label>2.2.5</label>
<title>Personal Information</title>
<p>General demographic information was examined, including age, gender, education, employment status, housing situation, and monthly family incomes, in order to identify cofounding factors. Participants were also asked about their meaning in life in order to understand their life purpose if they possessed. Their responses to the open-ended question on meaning in life were coded using an inductive content analysis approach. All responses were reviewed and categorized into eight conceptual themes based on recurring patterns: (1) children&#x2019;s education, (2) better life for family, (3) personal growth and success, (4) health and safety, (5) basic needs fulfillment, (6) helping others, (7) moving abroad for better opportunities and (8) relationship. As a sole researcher, the author conducted all coding independently, reviewing responses multiple times to ensure consistency. While no inter-coder reliability statistics were calculated, care was taken to define categories clearly and apply them uniformly.</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data Analysis</title>
<p>Data obtained from the participants&#x2019; questionnaires were statistically analyzed. First, a descriptive analysis was performed to illustrate the sociodemographic characteristics of the participants, their meaning in life, and their satisfaction with 12 life domains. Then, Pearson&#x2019;s correlation was conducted to examine the relationship between SUS and FS, as the normality of the variables was confirmed. After verifying the assumptions of normality and linearity, a hierarchical linear regression analysis was performed to examine the relationship between character strengths use (SUS) and psychological well-being (FS) while controlling for potential confounding variables, including age, gender, education, employment, family monthly income, housing conditions, and psychological distress (K10). To confirm this relationship between SUS and FS, a partial correlation analysis was also conducted, controlling for the same confounding variables. The significance level was set at <italic>p</italic> &#x003C; 0.05 for all inferential statistical tests (Pearson&#x2019;s correlation, hierarchical regression, and partial correlation analyses). All analyses were performed using SPSS version 29 for Windows (IBM Corp, Armonk, NY, USA).</p>
</sec>
</sec>
<sec id="s3">
<label>3</label>
<title>Results</title>
<p>A total of 120 slum dwellers participated in the study. The mean age was 33.37 years (SD &#x003D; 12.15, range &#x003D; 18&#x2013;79). The majority of participants were female (88.3%, n &#x003D; 106), with 9.2% (n &#x003D; 11) identifying as male and 2.5% (n &#x003D; 3) identifying as other genders. Additional demographic characteristics, satisfaction with 12 life domains, and meaning in life are summarized in <xref ref-type="table" rid="table-1">Table 1</xref>.</p>
<table-wrap id="table-1">
<label>Table 1</label>
<caption>
<title>Participants&#x2019; demographic characteristics, meaning in life, and 12 domains satisfaction</title>
</caption>
<table>
<colgroup>
<col align="left"/>
<col align="center"/>
<col align="center"/>
</colgroup>
<thead>
<tr>
<th>Variables</th>
<th align="center">N</th>
<th align="center"><bold>%</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td>Gender</td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;Male</td>
<td>11</td>
<td>9.2</td>
</tr>
<tr>
<td>&#x2003;Female</td>
<td>106</td>
<td>88.3</td>
</tr>
<tr>
<td>&#x2003;Other</td>
<td>3</td>
<td>2.5</td>
</tr>
<tr>
<td>Education</td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;Elementary school</td>
<td>37</td>
<td>30.8</td>
</tr>
<tr>
<td>&#x2003;Junior high school</td>
<td>72</td>
<td>60.0</td>
</tr>
<tr>
<td>&#x2003;Senior high school</td>
<td>5</td>
<td>4.2</td>
</tr>
<tr>
<td>&#x2003;Vocational school</td>
<td>3</td>
<td>2.5</td>
</tr>
<tr>
<td>&#x2003;College</td>
<td>3</td>
<td>2.5</td>
</tr>
<tr>
<td>Employment</td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;Yes</td>
<td>64</td>
<td>53.3</td>
</tr>
<tr>
<td>&#x2003;No</td>
<td>56</td>
<td>46.7</td>
</tr>
<tr>
<td>Meaning in life&#x002A;</td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;Basic needs fulfillment</td>
<td>6</td>
<td>5.0</td>
</tr>
<tr>
<td>&#x2003;Better life for family</td>
<td>24</td>
<td>20.0</td>
</tr>
<tr>
<td>&#x2003;Children&#x2019;s education</td>
<td>54</td>
<td>45.0</td>
</tr>
<tr>
<td>&#x2003;Health and safety</td>
<td>10</td>
<td>8.3</td>
</tr>
<tr>
<td>&#x2003;Helping others</td>
<td>2</td>
<td>1.7</td>
</tr>
<tr>
<td>&#x2003;Moving abroad for better opportunities</td>
<td>2</td>
<td>1.7</td>
</tr>
<tr>
<td>&#x2003;Personal growth and success</td>
<td>20</td>
<td>16.7</td>
</tr>
<tr>
<td>&#x2003;Relationship</td>
<td>1</td>
<td>0.8</td>
</tr>
<tr>
<td><bold>Variables</bold></td>
<td><bold>Mean</bold></td>
<td><bold>SD (Range)</bold></td>
</tr>
<tr>
<td>Age</td>
<td>33.37</td>
<td>12.15 (18&#x2013;79)</td>
</tr>
<tr>
<td>Monthly family incomes (Filipino Pesos)</td>
<td>8340.67</td>
<td>5364.39 (500&#x2013;30,000)</td>
</tr>
<tr>
<td>The number of family member to live with</td>
<td>4.71</td>
<td>1.80 (1&#x2013;9)</td>
</tr>
<tr>
<td>12 domains satisfaction</td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;Material satisfaction</td>
<td>4.42</td>
<td>1.61 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Income satisfaction</td>
<td>4.66</td>
<td>1.41 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Housing satisfaction</td>
<td>4.64</td>
<td>1.61 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Food satisfaction</td>
<td>5.53</td>
<td>1.46 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Social satisfaction</td>
<td>4.80</td>
<td>1.40 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Family satisfaction</td>
<td>6.35</td>
<td>1.19 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Romantic satisfaction</td>
<td>5.28</td>
<td>1.62 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Friendship satisfaction</td>
<td>5.52</td>
<td>1.37 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Satisfaction with self</td>
<td>5.69</td>
<td>1.37 (1&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Morality satisfaction</td>
<td>5.00</td>
<td>1.24 (2&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Intelligence satisfaction</td>
<td>4.92</td>
<td>1.23 (2&#x2013;7)</td>
</tr>
<tr>
<td>&#x2003;Satisfaction with physical appearance</td>
<td>5.33</td>
<td>1.24 (1&#x2013;7)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-1fn1" fn-type="other">
<p>Note: SD, standard deviation. &#x002A;Missing data &#x003D; 1.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Among the 12 life domains assessed, participants reported the highest levels of satisfaction in family (Mean &#x003D; 6.35, SD &#x003D; 1.19), followed by self-satisfaction (Mean &#x003D; 5.69, SD &#x003D; 1.37) and food satisfaction (Mean &#x003D; 5.53, SD &#x003D; 1.46). Regarding meaning in life, the most frequently cited sources were children&#x2019;s education (45.0%) and providing a better life for their family (20.0%), underscoring the central role of family in participants&#x2019; sense of purpose.</p>
<sec id="s3_1">
<label>3.1</label>
<title>Strengths Use, Flourishing, and Psychological Distress</title>
<p>Participants&#x2019; SUS, FS, and K10 scores are presented in <xref ref-type="table" rid="table-2">Table 2</xref>. The mean FS score was 46.70 (SD &#x003D; 4.75). The mean K10 score was 27.22 (SD &#x003D; 6.78), which falls within the &#x201C;high distress&#x201D; range (22&#x2013;29), based on international cutoffs [<xref ref-type="bibr" rid="ref-34">34</xref>,<xref ref-type="bibr" rid="ref-35">35</xref>].</p>
<table-wrap id="table-2">
<label>Table 2</label>
<caption>
<title>Slum dwellers&#x2019; Strengths Use Scale (SUS), Flourishing Scale (FS), and Kesseler Psychological Distress Scale (K10) results</title>
</caption>
<table>
<colgroup>
<col align="left"/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th align="center">Variable</th>
<th>Mean</th>
<th>SD</th>
<th>Range</th>
</tr>
</thead>
<tbody>
<tr>
<td>Strength Use Scale (SUS)</td>
<td>74.24</td>
<td>11.83</td>
<td>43&#x2013;98</td>
</tr>
<tr>
<td>Flourishing Scale (FS)</td>
<td>46.70</td>
<td>4.75</td>
<td>32&#x2013;56</td>
</tr>
<tr>
<td>Kessler Psychological Distress Scale (K10)</td>
<td>27.22</td>
<td>6.78</td>
<td>11&#x2013;43</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-2fn1" fn-type="other">
<p>Note: SD, standard deviation.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Associations between Strengths Use Scale (SUS) and Flourishing Scale (FS)</title>
<sec id="s3_2_1">
<label>3.2.1</label>
<title>Pearson&#x2019;s Correlation Analysis</title>
<p>A Pearson correlation analysis was conducted to examine the association between character strengths use (SUS) and psychological well-being (FS). The results indicated a significant positive correlation, suggesting that higher strengths use is associated with greater psychological well-being. <xref ref-type="table" rid="table-3">Table 3</xref> presents the Pearson correlations among the main study variables. Strengths use (SUS) was positively correlated with flourishing (<italic>r</italic> &#x003D; 0.39, <italic>p</italic> &#x003C; 0.01) and housing situation (<italic>r</italic> &#x003D; 0.19, <italic>p</italic> &#x003C; 0.05), and negatively with employment (<italic>r</italic> &#x003D; &#x2212;0.023, <italic>p</italic> &#x003C; 0.05) and income (<italic>r</italic> &#x003D; &#x2212;0.19, <italic>p</italic> &#x003C; 0.05). Psychological distress (K10) was not significantly associated with flourishing or SUS. No multicollinearity concerns were evident, as none of the correlations exceeded 0.70.</p>
<table-wrap id="table-3">
<label>Table 3</label>
<caption>
<title>Pearson correlations among key variables</title>
</caption>
<table>
<colgroup>
<col align="left"/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th align="center">Variable</th>
<th align="center">1</th>
<th align="center">2</th>
<th align="center">3</th>
<th align="center">4</th>
<th align="center">5</th>
<th align="center">6</th>
<th align="center">7</th>
<th align="center">8</th>
<th align="center">9</th>
</tr>
</thead>
<tbody>
<tr>
<td><bold>1. Flourishing (FS)</bold></td>
<td>&#x2014;</td>
<td>0.39&#x002A;&#x002A;</td>
<td>&#x2212;0.04</td>
<td>0.02</td>
<td>0.08</td>
<td>0.12</td>
<td>&#x2212;0.05</td>
<td>0.31&#x002A;&#x002A;</td>
<td>0.10</td>
</tr>
<tr>
<td><bold>2. Strengths Use (SUS)</bold></td>
<td></td>
<td>&#x2014;</td>
<td>0.07</td>
<td>0.02</td>
<td>0.05</td>
<td>0.14</td>
<td>&#x2212;0.23&#x002A;</td>
<td>0.19&#x002A;</td>
<td>&#x2212;0.19&#x002A;</td>
</tr>
<tr>
<td><bold>3. Distress (K10)</bold></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>&#x2212;0.07</td>
<td>0.01</td>
<td>&#x2212;0.11</td>
<td>0.10</td>
<td>&#x2212;0.12</td>
<td>&#x2212;0.06</td>
</tr>
<tr>
<td><bold>4. Age</bold></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>0.04</td>
<td>&#x2212;0.10</td>
<td>0.16</td>
<td>0.00</td>
<td>&#x2212;0.18</td>
</tr>
<tr>
<td><bold>5. Gender</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>&#x2212;0.07</td>
<td>&#x2212;0.04</td>
<td>&#x2212;0.10</td>
<td>0.01</td>
</tr>
<tr>
<td><bold>6. Education</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>&#x2212;0.12</td>
<td>0.07</td>
<td>0.17</td>
</tr>
<tr>
<td><bold>7. Employment</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>&#x2212;0.07</td>
<td>0.14</td>
</tr>
<tr>
<td><bold>8. Housing Situation</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
<td>0.12</td>
</tr>
<tr>
<td><bold>9. Income</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td>&#x2014;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-3fn1" fn-type="other">
<p>Note: FS, Flourishing Scale; SUS, Strengths Use Scale; K10, Kessler Psychological Distress Scale. &#x002A;Correlation is significant at the 0.05 level (2-tailed). &#x002A;&#x002A;Correlation is significant at the 0.01 level (2-tailed).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2_2">
<label>3.2.2</label>
<title>Hierarchical Linear Regression Analysis</title>
<p>A hierarchical linear regression was conducted to examine whether strengths use (SUS) and psychological distress (K10) explained additional variance in flourishing beyond demographic variables. The results are summarized in <xref ref-type="table" rid="table-4">Table 4</xref>.</p>
<table-wrap id="table-4">
<label>Table 4</label>
<caption>
<title>Hierarchical multiple regression predicting flourishing from demographic variables, strengths use (SUS), and psychological distress (K10)</title>
</caption>
<table>
<colgroup>
<col align="left"/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Predictors</th>
<th><italic>B</italic></th>
<th><italic>SE for B</italic></th>
<th><italic>&#x03B2;</italic></th>
<th><italic>T</italic></th>
<th><italic>p</italic></th>
<th><italic>95% CI for B</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td><bold>Step 1</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;<bold>(Constant)</bold></td>
<td>38.18</td>
<td>3.26</td>
<td>&#x2014;</td>
<td>11.72</td>
<td>&#x003C;0.01</td>
<td>[31.73, 44.64]</td>
</tr>
<tr>
<td>&#x2003;<bold>Age</bold></td>
<td>0.02</td>
<td>0.04</td>
<td>0.04</td>
<td>0.41</td>
<td>0.69</td>
<td>[&#x2212;0.06, 0.09]</td>
</tr>
<tr>
<td>&#x2003;<bold>Gender</bold></td>
<td>1.53</td>
<td>1.26</td>
<td>0.11</td>
<td>1.22</td>
<td>0.23</td>
<td>[&#x2212;0.96, 4.02]</td>
</tr>
<tr>
<td>&#x2003;<bold>Housing Situation</bold></td>
<td>1.55</td>
<td>0.46</td>
<td>0.30</td>
<td>3.38</td>
<td>&#x003C;0.01</td>
<td>[0.64, 2.45]</td>
</tr>
<tr>
<td>&#x2003;<bold>Education</bold></td>
<td>0.55</td>
<td>0.53</td>
<td>0.09</td>
<td>1.03</td>
<td>0.31</td>
<td>[&#x2212;0.51, 1.60]</td>
</tr>
<tr>
<td>&#x2003;<bold>Employment</bold></td>
<td>&#x2212;0.26</td>
<td>0.87</td>
<td>&#x2212;0.03</td>
<td>&#x2212;0.29</td>
<td>0.77</td>
<td>[&#x2212;1.98, 1.48]</td>
</tr>
<tr>
<td>&#x2003;<bold>Income</bold></td>
<td>&#x003C;0.001</td>
<td>&#x003C;0.001</td>
<td>0.06</td>
<td>0.63</td>
<td>0.53</td>
<td>[0.00, 0.00]</td>
</tr>
<tr>
<td><bold>Step 2</bold></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<td>&#x2003;<bold>(Constant)</bold></td>
<td>29.33</td>
<td>4.17</td>
<td>&#x2014;</td>
<td>7.03</td>
<td>&#x003C;0.01</td>
<td>[21.06, 37.59]</td>
</tr>
<tr>
<td>&#x2003;<bold>Age</bold></td>
<td>0.01</td>
<td>0.03</td>
<td>0.03</td>
<td>0.29</td>
<td>0.78</td>
<td>[&#x2212;0.06, 0.08]</td>
</tr>
<tr>
<td>&#x2003;<bold>Gender</bold></td>
<td>1.16</td>
<td>1.19</td>
<td>0.08</td>
<td>0.98</td>
<td>0.33</td>
<td>[&#x2212;1.19, 3.51]</td>
</tr>
<tr>
<td>&#x2003;<bold>Housing Situation</bold></td>
<td>1.16</td>
<td>0.44</td>
<td>0.23</td>
<td>2.61</td>
<td>0.01</td>
<td>[0.28, 2.03]</td>
</tr>
<tr>
<td>&#x2003;<bold>Education</bold></td>
<td>0.22</td>
<td>0.51</td>
<td>0.04</td>
<td>0.44</td>
<td>0.66</td>
<td>[&#x2212;0.79, 1.23]</td>
</tr>
<tr>
<td>&#x2003;<bold>Employment</bold></td>
<td>0.39</td>
<td>0.84</td>
<td>0.04</td>
<td>0.47</td>
<td>0.64</td>
<td>[&#x2212;1.28, 2.06]</td>
</tr>
<tr>
<td>&#x2003;<bold>Income</bold></td>
<td>&#x003C;0.001</td>
<td>&#x003C;0.001</td>
<td>0.13</td>
<td>1.48</td>
<td>0.14</td>
<td>[0.00, 0.00]</td>
</tr>
<tr>
<td>&#x2003;<bold>Strengths Use (SUS)</bold></td>
<td>0.15</td>
<td>0.04</td>
<td>0.37</td>
<td>4.09</td>
<td>&#x003C;0.01</td>
<td>[0.08, 0.22]</td>
</tr>
<tr>
<td>&#x2003;<bold>Distress (K10)</bold></td>
<td>&#x2212;0.02</td>
<td>0.06</td>
<td>&#x2212;0.03</td>
<td>&#x2212;0.37</td>
<td>0.71</td>
<td>[&#x2212;0.14, 0.10]</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-4fn1" fn-type="other">
<p>Note: SUS, Strengths Use Scale; K10, Kessler Psychological Distress Scale. Age, gender, education, employment, housing situation, and income were entered in Step 1. SUS and K10 were entered in Step 2. Confidence intervals (CI) are based on 95% level. <italic>p</italic>-values &#x003C; 0.05 are considered statistically significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>In Step 1, demographic predictors (age, gender, housing situation, education, employment, and income) accounted for a significant proportion of the variance in flourishing, <italic>R</italic><sup>2</sup> &#x003D; 0.12, <italic>F</italic> (6, 113) &#x003D; 2.59, <italic>p</italic> &#x003D; 0.02. In Step 2, the inclusion of SUS and K10 significantly improved the model, &#x0394;<italic>R</italic><sup>2</sup> &#x003D; 0.12, <italic>F</italic> (2, 111) &#x003D; 8.37, <italic>p</italic> &#x003C; 0.01, resulting in a total <italic>R</italic><sup>2</sup> &#x003D; 0.24 (see <xref ref-type="table" rid="table-5">Table 5</xref>).</p>
<table-wrap id="table-5">
<label>Table 5</label>
<caption>
<title>Model summary for hierarchical regression predicting flourishing</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Model</th>
<th><italic>R</italic></th>
<th><italic>R</italic><sup><bold>2</bold></sup></th>
<th><italic><bold>&#x0394;</bold>R</italic><sup><bold>2</bold></sup></th>
<th><italic>F for <bold>&#x0394;</bold>R</italic><sup><bold>2</bold></sup></th>
<th><italic>df</italic><sub><bold>1</bold></sub></th>
<th><italic>df</italic><sub><bold>2</bold></sub></th>
<th><italic>p</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td>1</td>
<td>0.35</td>
<td>0.12</td>
<td>&#x2014;</td>
<td>2.59</td>
<td>6</td>
<td>113</td>
<td>0.02</td>
</tr>
<tr>
<td>2</td>
<td>0.49</td>
<td>0.24</td>
<td>0.12</td>
<td>8.37</td>
<td>2</td>
<td>111</td>
<td>&#x003C;0.01</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-5fn1" fn-type="other">
<p>Note: Model 1 includes demographic variables (age, gender, income, education, employment, housing situation). Model 2 adds strengths use (SUS) and psychological distress (K10). &#x0394;<italic>R</italic><sup>2</sup> indicates the change in explained variance from the previous model.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Among all predictors, character strengths use was a significant positive predictor of flourishing (<italic>&#x03B2;</italic> &#x003D; 0.37, 95% CI &#x003D; [0.08, 0.22]), indicating a moderate effect size. In contrast, psychological distress was not significantly associated with flourishing (<italic>&#x03B2;</italic> &#x003D; &#x2212;0.03, 95% CI &#x003D; [&#x2212;0.14, 0.10]), as the confidence interval included zero, suggesting no meaningful effect in this sample (see <xref ref-type="table" rid="table-4">Table 4</xref>).</p>

</sec>
<sec id="s3_2_3">
<label>3.2.3</label>
<title>Partial Correlation Analysis</title>
<p>A partial correlation analysis was conducted to examine the association between strengths use (SUS) and flourishing (FS), controlling for six demographic covariates (age, gender, income, education, employment, and housing situation). The zero-order correlation was significant (<italic>r</italic> &#x003D; 0.39, <italic>p</italic> &#x003C; 0.01), and the partial correlation remained significant (<italic>r</italic> &#x003D; 0.36, <italic>p</italic> &#x003C; 0.01, <italic>df</italic> &#x003D; 11), indicating a robust relationship even after accounting for potential confounding factors (see <xref ref-type="table" rid="table-6">Table 6</xref>).</p>
<table-wrap id="table-6">
<label>Table 6</label>
<caption>
<title>Zero-order and partial correlation between strengths use and flourishing</title>
</caption>
<table>
<colgroup>
<col/>
<col/>
<col/>
<col/>
<col/>
</colgroup>
<thead>
<tr>
<th>Correlation type</th>
<th><italic>r</italic></th>
<th><italic>df</italic></th>
<th><italic>p</italic></th>
<th>Covariates controlled</th>
</tr>
</thead>
<tbody>
<tr>
<td>Zero-order</td>
<td>0.39</td>
<td>118</td>
<td>&#x003C;0.01</td>
<td>None</td>
</tr>
<tr>
<td>Partial correlation</td>
<td>0.36</td>
<td>112</td>
<td>&#x003C;0.01</td>
<td>Age, Gender, Education, Employment, Housing situation, Income</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="table-6fn1" fn-type="other">
<p>Note: SUS, Strengths Use Scale; FS, Flourishing Scale. Partial correlation controls for six demographic variables. <italic>df</italic> &#x003D; N &#x2013; k &#x2013; 2.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The relationship between character strengths (SUS) and psychological well-being (FS) is illustrated in <xref ref-type="fig" rid="fig-1">Fig. 1</xref>.</p>
<fig id="fig-1">
<label>Figure 1</label>
<caption>
<title>The correlation between the Strengths Use Scale (SUS) and the Flourishing Scale (FS)</title>
</caption>
<graphic mimetype="image" mime-subtype="tif" xlink:href="IntJMentHealthPromot-27-68556-f001.tif"/>
</fig>
</sec>
</sec>
</sec>
<sec id="s4">
<label>4</label>
<title>Discussion</title>
<p>This study aimed to examine the relationship between character strengths use and psychological well-being among slum dwellers in the Philippines, while also considering the impact of psychological distress in slum environments. Consistent with Hypothesis 1, greater use of character strengths was positively associated with psychological well-being. Hypothesis 2 was also supported, as this association remained significant even after controlling for demographic factors and psychological distress. By contrast, the exploratory Hypothesis 3 was not supported; instead, the positive association between strengths use and well-being remained consistent across different levels of distress. Taken together, these results indicate a stable link between character strengths use and psychological well-being in this high-adversity context, paralleling findings from WEIRD societies and challenging the assumption that living in slums necessarily correlates with lower mental health [<xref ref-type="bibr" rid="ref-36">36</xref>].</p>
<p>One explanation for these findings is the universal role of character strengths in fostering well-being. As internal psychological assets, character strengths remain accessible regardless of living conditions. Previous research has demonstrated that strengths use is linked to well-being among individuals facing diverse adversities, such as chronic illness [<xref ref-type="bibr" rid="ref-37">37</xref>], homelessness [<xref ref-type="bibr" rid="ref-38">38</xref>], visual impairments [<xref ref-type="bibr" rid="ref-39">39</xref>], and autism [<xref ref-type="bibr" rid="ref-40">40</xref>]. Studies across different cultural settings have also shown that strengths use contributes to both subjective and psychological well-being [<xref ref-type="bibr" rid="ref-41">41</xref>&#x2013;<xref ref-type="bibr" rid="ref-43">43</xref>]. By extending these findings to slum communities, this study reinforces the notion that character strengths serve as fundamental psychological resources for well-being across diverse socioeconomic settings.</p>
<p>Beyond promoting well-being, character strengths may act as a psychological buffer against adversity. Research has consistently demonstrated that character strengths function as a protective factor against stress, buffering individuals from its negative psychological effects and promoting resilience [<xref ref-type="bibr" rid="ref-44">44</xref>&#x2013;<xref ref-type="bibr" rid="ref-48">48</xref>]. Given these findings, it is reasonable to hypothesize that character strengths would similarly serve as a protective factor in high-stress environments, such as urban slums, where chronic adversity and socio-economic challenges place residents at elevated risk for mental health difficulties. Additionally, Niemiec emphasizes that character strengths play a dual role in mental health by both fostering well-being and mitigating suffering, reinforcing the idea that strengths use is not merely beneficial but essential in high-adversity urban settings [<xref ref-type="bibr" rid="ref-49">49</xref>].</p>
<p>These findings are also consistent with the Dual-Factor Model of Mental Health, which posits that psychological well-being and distress are not mutually exclusive but can coexist [<xref ref-type="bibr" rid="ref-50">50</xref>&#x2013;<xref ref-type="bibr" rid="ref-52">52</xref>]. Traditional models often view well-being and distress as opposite ends of a continuum, implying that higher distress necessarily corresponds to lower well-being. However, the dual-factor perspective suggests that individuals can experience both flourishing and psychological distress simultaneously. In the context of slum communities, ongoing structural challenges&#x2014;such as unstable housing, high crime rates, and economic precarity&#x2014;create persistent psychological stress, as reflected in the high levels of distress reported by participants. However, their ability to utilize character strengths may have contributed to their well-being, demonstrating that flourishing is possible even in extreme hardship.</p>
<p>This interpretation is further supported by exploratory comparisons with previous studies. Notably, despite experiencing severe adversity, participants&#x2019; flourishing scores appeared comparable to or even slightly higher than those of Filipino students from affluent private institutions [<xref ref-type="bibr" rid="ref-29">29</xref>]. Specifically, the current sample (Mean &#x003D; 46.70, SD &#x003D; 4.75) reported higher flourishing than Filipino high school students (Mean &#x003D; 43.92, SD &#x003D; 7.10; Cohen&#x2019;s <italic>d</italic> &#x2248; 0.46) and undergraduate students (Mean &#x003D; 44.97, SD &#x003D; 6.32; Cohen&#x2019;s <italic>d</italic> &#x2248; 0.31). These small-to-moderate effect sizes highlight that high levels of psychological well-being can emerge even in contexts of significant adversity, further reinforcing the dual-factor model&#x2019;s assertion that well-being and distress can coexist.</p>
<p>These insights offer valuable implications for interventions aimed at enhancing psychological well-being in slum communities. Strengths-based programs provide a cost-effective and sustainable approach, as character strengths are internal assets that require no financial investment, making them particularly valuable in resource-limited settings. Given their demonstrated buffering effects, interventions should prioritize strengths identification and development to foster resilience. Additionally, a dual-factor approach should be integrated into mental health initiatives, addressing both distress reduction and well-being promotion to create more comprehensive support systems.</p>
<p>Beyond individual strengths use, this study found that family played a central role in participants&#x2019; well-being. Family satisfaction was the highest among all life domains, and the primary sources of meaning centered on children&#x2019;s education and providing a better future for loved ones. These findings align with the cultural value of <italic>kapwa</italic> (shared identity) and <italic>utang na loob</italic> (reciprocal gratitude and obligation) in Filipino society [<xref ref-type="bibr" rid="ref-53">53</xref>,<xref ref-type="bibr" rid="ref-54">54</xref>]. Although this study did not statistically analyze the relationship between family relationships and strengths use, descriptive findings such as high levels of family satisfaction and the prominence of family-related meaning underscore the cultural centrality of familial bonds in participants&#x2019; lives. This culturally salient pattern can be contextualized through broader psychological frameworks. For example, Relational-cultural theory emphasizes that growth-fostering relationships are crucial for resilience and well-being, particularly among marginalized populations [<xref ref-type="bibr" rid="ref-55">55</xref>]. In collectivist cultures such as those in East and Southeast Asia, family-oriented coping is commonly used and culturally meaningful in the face of adversity [<xref ref-type="bibr" rid="ref-56">56</xref>]. While speculative, these perspectives suggest that family support and character strengths may interact synergistically to foster well-being in high-adversity environments. By considering cultural contexts, strength-based interventions can become more meaningful in non-WEIRD cultural contexts. Moreover, this approach aligns with the third wave of positive psychology, which emphasizes the importance of incorporating cultural perspectives beyond WEIRD societies [<xref ref-type="bibr" rid="ref-57">57</xref>].</p>
<p>While this study provides valuable insights into character strengths use and psychological well-being among slum dwellers, several limitations must be acknowledged. First, the cross-sectional design limits the ability to draw causal conclusions, underscoring the need for longitudinal studies to examine how strengths use may influence well-being over time. Second, the exclusive use of self-report measures may introduce biases such as social desirability and recall errors; future research should consider incorporating behavioral assessments or informant reports to enhance validity.</p>
<p>Third, although this study highlights the significance of character strengths use, its focus specifically on character strengths rather than general strengths use marks a conceptual shift, potentially limiting comparability with studies employing the standard SUS. Additionally, variation in the specific strengths selected by participants may have introduced uncontrolled variability, as certain strengths, such as Hope and Gratitude, are more strongly associated with well-being. Reflecting on one&#x2019;s signature strengths may also temporarily enhance self-esteem or positive affect, potentially inflating associations with flourishing. Future studies should explore methods that balance cultural and personal relevance with methodological consistency.</p>
<p>Moreover, beyond character strengths, other psychological and social factors likely contribute to well-being in slum communities. Future research should investigate mechanisms such as social support, spirituality, and meaning-making, which may interact with strengths use to foster resilience. Examining whether family support moderates the impact of character strengths on well-being could offer deeper insights, particularly in collectivist cultures like the Philippines, where familial bonds are central to coping with adversity.</p>
<p>Another limitation lies in the qualitative analysis of meaning in life, which was coded by a single researcher without inter-coder reliability checks. Although consistency was sought through repeated reviews, future research would benefit from involving multiple coders to enhance the reliability of thematic classifications.</p>
<p>Finally, although the 12 domain satisfaction data were not subjected to inferential analysis, they may provide valuable insights into subjective well-being in high-adversity contexts. Future studies could explore how satisfaction across material, relational, and identity domains interacts with strengths use and overall psychological well-being.</p>
</sec>
<sec id="s5">
<label>5</label>
<title>Conclusions</title>
<p>This study highlights the significant role of character strengths in promoting psychological well-being among an underrepresented population&#x2014;slum dwellers in the Philippines. The findings suggest that despite economic hardship and high levels of psychological distress, individuals can experience psychological flourishing, particularly when they actively utilize their strengths. These results expand the application of positive psychology to non-WEIRD and high-adversity environments, demonstrating that psychological resources play a crucial role in resilience beyond economically privileged settings. Furthermore, this study underscores the need for strengths-based interventions tailored specifically for slum communities. Future research should further explore the mechanisms through which strengths use fosters well-being in adversity and design culturally responsive interventions that harness these psychological assets to enhance resilience and quality of life in slum communities.</p>
</sec>
</body>
<back>
<ack>
<p>Not applicable.</p>
</ack>
<sec>
<title>Funding Statement</title>
<p>The author received no specific funding for this study.</p>
</sec>
<sec sec-type="data-availability">
<title>Availability of Data and Materials</title>
<p>The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.</p>
</sec>
<sec>
<title>Ethics Approval</title>
<p>This study was approved by the College of Social Sciences and Philosophy Ethics Review Board of the University of the Philippines Diliman (CSSP-ERB Code: CSSPERB-2023-010).</p>
</sec>
<sec>
<title>Informed Consent</title>
<p>Informed consent was obtained from all participants by reading the informed consent, which informed them that their participation was voluntary.</p>
</sec>
<sec sec-type="COI-statement">
<title>Conflicts of Interest</title>
<p>The author declares no conflicts of interest to report regarding the present study.</p>
</sec>
<ref-list content-type="authoryear">
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