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 <!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.0 20120330//EN" "http://jats.nlm.nih.gov/publishing/1.0/JATS-journalpublishing1.dtd"> <article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" dtd-version="1.0" xml:lang="en">
  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">IJGH</journal-id>
      <journal-title-group>
        <journal-title>International Journal of Global Health</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2693-1176</issn>
      <publisher>
        <publisher-name>Open Access Pub</publisher-name>
        <publisher-loc>United States</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="publisher-id">IJGH-25-5609</article-id>
      <article-id pub-id-type="doi">10.14302/issn.2693-1176.ijgh-25-5609</article-id>
      <article-categories>
        <subj-group>
          <subject>research-article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Economic Masculinity Support and Well-Being of Married Women in Luwero District, Uganda: A Cross-sectional Study</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Priscillie</surname>
            <given-names>Kankindi</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841689828">1</xref>
          <xref ref-type="aff" rid="idm1841688964">2</xref>
          <xref ref-type="aff" rid="idm1841708092">*</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Michael</surname>
            <given-names>Mawa</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841689828">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Charles</surname>
            <given-names>Edaku</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841689828">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1841689828">
        <label>1</label>
        <addr-line>Nkumba University, Entebbe Road, P.O. BOX 237, Entebbe, Uganda</addr-line>
      </aff>
      <aff id="idm1841688964">
        <label>2</label>
        <addr-line>Bugema University, P.O. BOX 6529, Kampala, Uganda </addr-line>
      </aff>
      <aff id="idm1841708092">
        <label>*</label>
        <addr-line>Corresponding Author </addr-line>
      </aff>
      <contrib-group>
        <contrib contrib-type="editor">
          <name>
            <surname>Anubha</surname>
            <given-names>Bajaj</given-names>
          </name>
          <xref ref-type="aff" rid="idm1841551988">1</xref>
        </contrib>
      </contrib-group>
      <aff id="idm1841551988">
        <label>1</label>
        <addr-line>Consultant Histopathologist, A.B. Diagnostics, Delhi, India</addr-line>
      </aff>
      <author-notes>
        <corresp>
    
    Priscille Kankindi, <addr-line>Bugema University P.O, BOX 6529, Luweero, Uganda</addr-line>, <email>kpriscille70@gmail.com</email></corresp>
        <fn fn-type="conflict" id="idm1849496708">
          <p>The authors have declared that no competing interests exist.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub" iso-8601-date="2025-08-11">
        <day>11</day>
        <month>08</month>
        <year>2025</year>
      </pub-date>
      <volume>2</volume>
      <issue>3</issue>
      <fpage>01</fpage>
      <lpage>14</lpage>
      <history>
        <date date-type="received">
          <day>03</day>
          <month>07</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>26</day>
          <month>07</month>
          <year>2025</year>
        </date>
        <date date-type="online">
          <day>11</day>
          <month>08</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© </copyright-statement>
        <copyright-year>2025</copyright-year>
        <copyright-holder>Priscillie Kankindi, et al</copyright-holder>
        <license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri xlink:href="http://openaccesspub.org/ijgh/article/2210">This article is available from http://openaccesspub.org/ijgh/article/2210</self-uri>
      <abstract>
        <p>Economic masculinity support is paramount in promoting women’s well-being through numerous ways, including enhancing access to healthcare, education, and financial freedom, hence fostering equitable distribution of household                         responsibilities. However, studies examining the relationship between economic masculinity support and women’s well-being have not been well established in existing research. This study evaluated the relationship between economic                 masculinity support and the well-being of married women in Luwero district, Uganda. </p>
        <p>This Cross-Sectional study was conducted among 382 married women aged 18 to 50 years of age, from selected villages in Luwero district. The outcome variable, well-being, was assessed using the Gender Empowerment Measure (GEM). Data were analyzed using the Pearson correlation coefficient and linear regression to ascertain the relationship between economic masculinity support and the                 well-being of women. </p>
        <p>The findings show a moderate positive association between economic masculinity support and women's well-being (r = 0.55, p &lt; 0.0001). Regression analysis                  indicated that economic masculinity support had a significant predictive influence (β = 0.42, p &lt; 0.01) on women’s well-being, accounting for approximately 30% of the variance in well-being outcomes (Adjusted R<sup>²</sup> = 0.30). Linking economic masculinity supports improved access to essential resources. These results                  highlight the crucial role of economic support in enhancing women’s welfare, while also emphasizing the need to address socio-cultural barriers to achieve               lasting empowerment.</p>
        <p>The study underscores the significant role of economic masculinity in promoting married women’s well-being. Transforming economic masculinity into a                     framework of mutual support is essential for advancing gender equity and                  safeguarding women’s well-being globally</p>
      </abstract>
      <kwd-group>
        <kwd>Economic Masculinity Support</kwd>
        <kwd>Financial Empowerment</kwd>
        <kwd>Women’s Well-being</kwd>
        <kwd>Luwero District</kwd>
      </kwd-group>
      <counts>
        <fig-count count="2"/>
        <table-count count="3"/>
        <page-count count="14"/>
      </counts>
    </article-meta>
  </front>
  <body>
    <sec id="idm1841557460" sec-type="intro">
      <title>Introduction</title>
      <p>Masculinities can either support or hinder women’s economic empowerment, particularly when             married partners have joint control over household income. When husbands are supportive of their wives’ economic participation, gender role-related stress is reduced, household participation in decision-making is increased, leading to reduced risk of intimate partner violence, hence fostering the                well-being of women <xref ref-type="bibr" rid="ridm1842312684">1</xref><xref ref-type="bibr" rid="ridm1842315852">2</xref><xref ref-type="bibr" rid="ridm1842319604">3</xref><xref ref-type="bibr" rid="ridm1842390156">4</xref>. Husbands’ positive attitude towards their wives’ economic participation is linked to improved well-being of married women, while negative attitudes impact women’s mental and physical health, employment status, and subjective health negatively. This, therefore, implies that the impact of economic masculinity support is multifaceted. </p>
      <p>Globally, restrictive masculine norms, specifically those stressing male economic control or                     dominance, continue to infringe on married women’s well-being in reflective ways<xref ref-type="bibr" rid="ridm1842319604">3</xref>. In local                   communities where men are expected to provide solely, women are often denied the opportunity to engage in economically generating activities. This leads to limited autonomy among the women and financial dependency. In some cases, where women have surpassed their male counterparts by earning more, this has resulted in punitive consequences <xref ref-type="bibr" rid="ridm1842319604">3</xref> and separation or divorce <xref ref-type="bibr" rid="ridm1842390156">4</xref>.</p>
      <p>In Latin America, such dynamics have been reported to provoke both physical and emotional violence as the men attempt to reassert dominance, hence escalating gender-based violence <xref ref-type="bibr" rid="ridm1842390156">4</xref>. Literature further posits that men who strongly kowtow to controlling masculine ideas are more likely to commit intimate partner violence, especially in economically strained homes <xref ref-type="bibr" rid="ridm1842390156">4</xref>. For instance, in societies where men stay at home in a culture where dominant concepts of masculinity cast men as breadwinners, women face social challenges as a result of gender social stress mechanisms, as social pressures reinforce gender culture and norms, inflicting stress on gender-non-conforming partners <xref ref-type="bibr" rid="ridm1842390156">4</xref>.</p>
      <p>In Sub-Saharan Africa, the impact extends beyond physical safety to women’s mental and physical well-being <xref ref-type="bibr" rid="ridm1842167908">5</xref>. Married women often carry the double burden of paid and unpaid domestic labor, with little support from partners who resist evolving gender roles. This inequality fosters chronic stress,           reduces decision-making power, and diminishes access to health services, especially in contexts where men control the household finances <xref ref-type="bibr" rid="ridm1842173452">6</xref><xref ref-type="bibr" rid="ridm1842170140">7</xref><xref ref-type="bibr" rid="ridm1842158188">8</xref><xref ref-type="bibr" rid="ridm1842154876">9</xref>. Moreover, men’s resistance to shifting norms can take             subtle but damaging forms such as emotional withdrawal, refusal to contribute to childcare, or                  abandoning the relationship altogether. </p>
      <p>In Seria leone, masculinity support has been linked to uptake of health services challenges, particularly in rural areas where primary health care infrastructure is weak <xref ref-type="bibr" rid="ridm1842135852">10</xref>, as women require financial support from their partners to facilitate transport cost to the health facilities, which in turn affects household financial security as financial decisions about household health is made <xref ref-type="bibr" rid="ridm1842132684">11</xref>. </p>
      <p>In Africa, countries like the Democratic Republic of Congo and Kenya have reported a negative impact of economic masculinity among married women rooted in patriarchal norms, which limits their access to health care, decision making, financial abuse, domestic violence, denied employment opportunities, and unequal distribution of household responsibilities <xref ref-type="bibr" rid="ridm1842136644">12</xref><xref ref-type="bibr" rid="ridm1842128580">13</xref><xref ref-type="bibr" rid="ridm1842126132">14</xref>. On the other hand, women’s income  generation, whether through employment or entrepreneurship, can lead to increased financial security for themselves and their families, allowing them to afford necessities, save money, and invest in their children’s activities, it can exacerbate gender role stress and potentially lead to mental health challenges <xref ref-type="bibr" rid="ridm1842121236">15</xref><xref ref-type="bibr" rid="ridm1842390156">4</xref>.</p>
      <p>In Uganda, masculinity is deeply intertwined with the role of the man as the primary provider for the household. The UN Women <xref ref-type="bibr" rid="ridm1842120084">16</xref> found that when women lack control over financial resources, economic provision can reinforce traditional dependency rather than promote autonomy. Ahikire and Mwiine argue that in Uganda, although financial support from men improves immediate material conditions, it rarely shifts underlying power dynamics unless coupled with broader cultural change <xref ref-type="bibr" rid="ridm1842117132">17</xref>.</p>
      <p>A study conducted in Rakai district found that masculine norms of respectability impact the well-being of women, as men place masculinity in a position of power and tend to control everything in the family, hence limiting the economic growth of women <xref ref-type="bibr" rid="ridm1842114108">18</xref>.</p>
      <p>In Luwero District, traditional cultural expectations strongly influence the economic interactions                 between men and women. Economic masculinity support, which refers to the provision of financial resources, entrepreneurial support, and access to economic opportunities by men, plays a significant role in shaping the lives of women <xref ref-type="bibr" rid="ridm1842096140">19</xref>.</p>
      <p>Uganda has embraced the Global Agenda 2030 and the Sustainable Development Goals, integrating them into national strategies. The country’s Vision 2040 identifies gender equality as a fundamental driver of socio-economic progress, while the National Development Plan (NDP) II <xref ref-type="bibr" rid="ridm1842092108">20</xref>emphasizes                empowering women and advancing gender equity as essential pathways to achieving inclusive growth and fostering social development. </p>
      <p>Literature suggests that while economic masculinity support is crucial for enhancing women’s                   well-being, it must be accompanied by efforts that promote women’s financial autonomy and challenge traditional gender expectations. However, emerging efforts to reshape these norms offer hopeful                 pathways forward. Gender-transformative programs around the world are engaging men to rethink masculinity as rooted in partnership rather than control <xref ref-type="bibr" rid="ridm1842319604">3</xref>. Initiatives that promote shared household responsibilities and inclusive decision-making have shown promising results: improved relationship quality, enhanced women’s agency, and better health outcomes for entire families. Ultimately,                  transforming economic masculinity into a framework of mutual support is essential for advancing                gender equity and safeguarding women’s well-being globally <xref ref-type="bibr" rid="ridm1842319604">3</xref>.  </p>
      <p>Although Uganda has made strides toward gender equality through legal frameworks such as the 1995 Constitution and the Gender Policy <xref ref-type="bibr" rid="ridm1842091604">21</xref>, in rural areas like Luwero, women's economic empowerment remains limited. This study seeks to explore whether economic masculinity support genuinely                  improves women’s well-being and, if so, whether it leads to their sustainable empowerment or                  reinforces dependency within the traditional gender hierarchy.</p>
    </sec>
    <sec id="idm1841521084" sec-type="methods">
      <title>Methodology</title>
      <sec id="idm1841522596">
        <title>Study design, setting, and population</title>
        <p>The study adopted a cross-sectional design to achieve a comprehensive understanding of economic masculinity support and its effect on women's well-being. Quantitative data were collected through structured researcher-administered questionnaires among 382 married women selected from                       Bamunanika, Kamira, Zirobwe, and Kalagala sub-counties. Key indicators included household income, food security, access to healthcare services, education enrollment for children, and quality of housing.</p>
        <p>The study population consisted of married women aged 18 to 50 years residing in the selected villages (Bamunanika, Kamira, Zirobwe, and Kalagala sub-counties) in Luwero district. Participants were                recruited using a simple random sampling technique to ensure equal opportunity to participate in the study. The study excluded married couples who have been married for less than one year, as they may not provide a true picture of the variables of interest in the study. </p>
      </sec>
      <sec id="idm1841522020">
        <title>Data Collection Process and Quality Control Measures</title>
        <p>The data were collected using a pilot-tested researcher-administered questionnaire between July 2024 and August 2024. Informed consent to participate in research was sought before participants were              enrolled in the study, the questions were translated into Luganda – the local language spoken in central Uganda and the data enumerators were trained researchers who had knowledge of and understood                 Luganda. The data enumerators were knowledgeable and had experience in conducting health-related surveys among older persons. To ensure data accuracy, the study team held weekly meetings to                compare notes, address any issues arising during data collection, and prepare preliminary findings. During data collection, relevant information not captured in the questionnaire was recorded as field notes and recorded in notebooks.  </p>
      </sec>
      <sec id="idm1841523028">
        <title>Study variable and measurements</title>
        <p>The key variables in the study were the independent variables (economic masculinity support), and the dependent variable (well-being). The outcome variable, well-being, was assessed using the Gender Empowerment Measure (GEM). </p>
      </sec>
    </sec>
    <sec id="idm1841519356">
      <title>Data analysis</title>
      <p>Data analysis was done using Stata version 18. The authors hypothesized that there is a relationship between economic masculinity support and the well-being of married women in Luwero district. This hypothesis was informed by the fact that marriage offers financial protection to women, which may influence their economic well-being. </p>
      <p>The authors employed frequencies and percentages to analyze demographic data, and Data were                analyzed using the Pearson correlation coefficient and linear regression to ascertain the relationship between economic masculinity support and the well-being of women. The Cronbach’s alpha for the current study was 0.8 with an internal content validity of 0.75, indicating good internal consistency. Using descriptive analysis, the authors were able to summarize data in the form of means and                   frequencies to explain the demographic characteristics of the study respondents. STATA version 18 was used to analyse the data to confirm variables that influence well-being. Only variables that had a  p-value less than 0.05 were considered statistically significant in this study. </p>
    </sec>
    <sec id="idm1841518708">
      <title>Quality Control Measures</title>
      <p>To ensure high-quality data collection, data enumerators underwent training tailored to the study’s  objectives. These enumerators possessed prior experience in quantitative data collection, particularly with vulnerable populations such as older adults. The research tools were pilot tested to assess their reliability and validity. Data entry and cleaning were conducted daily to minimize recall bias and                 promote completeness and accuracy. Weekly meetings provided a platform for reflection,                             troubleshooting emerging challenges, and supporting report writing efforts. </p>
    </sec>
    <sec id="idm1841519212">
      <title>Ethical Issues </title>
      <p>The study obtained ethical approval from the Clarke International University Research Ethics                     Committee (CIUREC), along with clearance from the Uganda National Council for Science and                 Technology (UNCST). In addition, administrative permission was granted by local leaders in selected villages of Luwero district. Before participant enrollment, written informed consent was obtained. To enhance understanding of the study’s objectives and procedures, both the data collection tools and               consent forms were translated into Luganda, the predominant local language. Participants were assured of their voluntary involvement and the confidentiality of their information. The informed consent form also included a clause permitting the future publication of study findings.</p>
    </sec>
    <sec id="idm1841518636" sec-type="results">
      <title>Results</title>
      <p>The initial desired sample size of the study was 396, but due to non-response issues resulting from some married women's fear of participating in the study, the sample size was reduced to 382, giving a response rate of 96.5%.</p>
      <sec id="idm1841520076">
        <title>Demographic Characteristics of the Study Respondents</title>
        <p>The respondents in this study were fairly distributed across the four sub-counties, with Kalagala                   contributing the highest proportion (31.7%) and Kamira the lowest (17.5%). The sample predominantly consisted of younger individuals, with 55.2% aged between 18–34 years and 36.1% aged between               35–50 years, indicating a youthful population likely to have evolving economic needs and social                  expectations. In terms of occupation, businesswomen (24.9%) and farmers (24.6%) were the most    common, reflecting a community heavily reliant on self-employment and agriculture. As shown in <xref ref-type="table" rid="idm1842444532">Table 1</xref>, formal employment was relatively rare, with only 6.5% engaged in salaried jobs and 1.8% in casual labor. Marital status data revealed that 40.1% of respondents were cohabiting, 31.4% were in monogamous marriages, and 28.5% were in polygamous unions, illustrating the continued influence of traditional and informal marital arrangements.</p>
        <table-wrap id="idm1842444532">
          <label>Table 1.</label>
          <caption>
            <title> Demographic Characteristics of the Study Respondents</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <th>
                  <bold> Variable</bold>
                </th>
                <td>
                  <bold>Frequency (n=382)</bold>
                </td>
                <td>
                  <bold>Percentage (%)</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Sub-County</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Bamunanika</td>
                <td>90</td>
                <td>23.56</td>
              </tr>
              <tr>
                <td>Kalagala</td>
                <td>121</td>
                <td>31.68</td>
              </tr>
              <tr>
                <td>Kamira</td>
                <td>67</td>
                <td>17.54</td>
              </tr>
              <tr>
                <td>Zirobwe</td>
                <td>104</td>
                <td>27.23</td>
              </tr>
              <tr>
                <td>
                  <bold>Age group</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>18-34</td>
                <td>211</td>
                <td>55.24</td>
              </tr>
              <tr>
                <td>35-50</td>
                <td>138</td>
                <td>36.13</td>
              </tr>
              <tr>
                <td>51 and above</td>
                <td>33</td>
                <td>8.64</td>
              </tr>
              <tr>
                <td>
                  <bold>Occupation</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Business person</td>
                <td>95</td>
                <td>24.87</td>
              </tr>
              <tr>
                <td>Causal labourer</td>
                <td>7</td>
                <td>1.83</td>
              </tr>
              <tr>
                <td>Civil Servant/Salaried job</td>
                <td>25</td>
                <td>6.54</td>
              </tr>
              <tr>
                <td>Farmer</td>
                <td>94</td>
                <td>24.61</td>
              </tr>
              <tr>
                <td>None</td>
                <td>81</td>
                <td>21.20</td>
              </tr>
              <tr>
                <td>House Wife</td>
                <td>80</td>
                <td>20.94</td>
              </tr>
              <tr>
                <td>
                  <bold>Marital Status</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>Cohabiting</td>
                <td>153</td>
                <td>40.05</td>
              </tr>
              <tr>
                <td>Married Monogamous</td>
                <td>120</td>
                <td>31.41</td>
              </tr>
              <tr>
                <td>Married Polygamous</td>
                <td>109</td>
                <td>28.53</td>
              </tr>
              <tr>
                <td>
                  <bold>Income level</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>100,000- 200,000/=</td>
                <td>62</td>
                <td>16.23</td>
              </tr>
              <tr>
                <td>Above 200,000</td>
                <td>42</td>
                <td>10.99</td>
              </tr>
              <tr>
                <td>Less than 100,000</td>
                <td>141</td>
                <td>36.91</td>
              </tr>
              <tr>
                <td>None</td>
                <td>137</td>
                <td>35.86</td>
              </tr>
              <tr>
                <td>
                  <bold>Education level</bold>
                </td>
                <td> </td>
                <td> </td>
              </tr>
              <tr>
                <td>None</td>
                <td>100</td>
                <td>26.18</td>
              </tr>
              <tr>
                <td>Primary</td>
                <td>117</td>
                <td>30.63</td>
              </tr>
              <tr>
                <td>Secondary</td>
                <td>125</td>
                <td>32.72</td>
              </tr>
              <tr>
                <td>Tertiary</td>
                <td>40</td>
                <td>10.47</td>
              </tr>
            </tbody>
          </table>
          <table-wrap-foot>
            <fn id="idm1841467836">
              <label/>
              <p>Source: Primary data 2024</p>
            </fn>
          </table-wrap-foot>
        </table-wrap>
        <p>Economically, the community faces significant vulnerabilities, with 36.9% of respondents earning less than 100,000 UGX per month and 35.9% reporting no income at all. Only a minority earned above 100,000 UGX, pointing to widespread financial insecurity. Educational attainment was similarly low; while 32.7% had completed secondary education and 30.6% had completed primary school, 26.2% reported having no formal education, and only 10.5% had tertiary qualifications. These findings                  suggest that the population is characterized by youthfulness, economic dependency, limited access to formal employment, and restricted educational opportunities. Understanding this demographic profile is critical for interpreting the results of the study, as these socio-economic characteristics shape                 women’s experiences with economic masculinity support and their overall well-being</p>
      </sec>
      <sec id="idm1841467692">
        <title>Well-being of women </title>
        <p>The findings reveal critical concerns related to women’s wellbeing in Luwero. The top three areas of concern, based on the highest Likert means, are food insecurity <bold>(Mean = 3.474) </bold>with 64.66% agreeing or strongly agreeing that they often worry about their food running out before they can afford to buy more; reliance on herbal medicine <bold>(Mean = 3.217) hard </bold>a notable trend, with 56.54% agreeing or strongly agreeing that they often seek medical care from herbalists rather than formal healthcare                    facilities; and unemployment<bold>(Mean = 3.212)</bold> a major concern, with 56.54% of respondents identifying as housewives and considering themselves unemployed. Additionally, 56.28% agreed or strongly agreed that they do not have a job to raise income for their families (Mean = 3.160). This points to a widespread lack of formal employment opportunities for women in the area.</p>
        <table-wrap id="idm1842345548">
          <label>Table 2.</label>
          <caption>
            <title> Respondents’ perception on wellbeing</title>
          </caption>
          <table rules="all" frame="box">
            <tbody>
              <tr>
                <th>
                  <bold>Wellbeing of Women</bold>
                </th>
                <td>
                  <bold>SD</bold>
                </td>
                <td>
                  <bold>D</bold>
                </td>
                <td>
                  <bold>NS</bold>
                </td>
                <td>
                  <bold>A</bold>
                </td>
                <td>
                  <bold>SA</bold>
                </td>
                <td>
                  <bold>Mean</bold>
                </td>
                <td>
                  <bold>Standard deviation</bold>
                </td>
                <td>
                  <bold>Sample (n)</bold>
                </td>
                <td>
                  <bold>Interpretation</bold>
                </td>
              </tr>
              <tr>
                <td>My children dropped out of school due to lack of school fees and            scholastic materials.</td>
                <td>33.77</td>
                <td>35.34</td>
                <td>4.45</td>
                <td>20.68</td>
                <td>5.76</td>
                <td>2.293</td>
                <td>1.283</td>
                <td>382</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>My children cover long distances of over 5kms to school.</td>
                <td>34.82</td>
                <td>28.53</td>
                <td>3.66</td>
                <td>26.96</td>
                <td>6.02</td>
                <td>2.408</td>
                <td>1.358</td>
                <td>382</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>My children do not study in high    valued standard school.</td>
                <td>29.84</td>
                <td>23.82</td>
                <td>4.71</td>
                <td>36.13</td>
                <td>5.5</td>
                <td>2.636</td>
                <td>1.373</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I don’t know how to read and write</td>
                <td>25.92</td>
                <td>23.3</td>
                <td>7.33</td>
                <td>32.2</td>
                <td>11.26</td>
                <td>2.796</td>
                <td>1.416</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I lack a personal house in which to stay with my family members.</td>
                <td>21.99</td>
                <td>30.37</td>
                <td>3.93</td>
                <td>21.73</td>
                <td>21.99</td>
                <td>2.914</td>
                <td>1.51</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>My house lacks water for domestic use</td>
                <td>16.23</td>
                <td>39.79</td>
                <td>3.14</td>
                <td>28.53</td>
                <td>12.3</td>
                <td>2.809</td>
                <td>1.339</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>My does not have enough              electricity for domestic use</td>
                <td>17.54</td>
                <td>32.98</td>
                <td>3.93</td>
                <td>28.53</td>
                <td>17.02</td>
                <td>2.945</td>
                <td>1.414</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>My house lacks a latrine (toilet           facilities)</td>
                <td>37.43</td>
                <td>48.17</td>
                <td>2.36</td>
                <td>7.07</td>
                <td>4.97</td>
                <td>1.94</td>
                <td>1.062</td>
                <td>382</td>
                <td>Very Low</td>
              </tr>
              <tr>
                <td>My house is not permanent and leaks when it rains</td>
                <td>32.2</td>
                <td>42.67</td>
                <td>10.21</td>
                <td>9.42</td>
                <td>5.5</td>
                <td>2.134</td>
                <td>1.132</td>
                <td>382</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>I cannot afford health services for myself or for my children</td>
                <td>21.47</td>
                <td>29.58</td>
                <td>5.76</td>
                <td>34.03</td>
                <td>9.16</td>
                <td>2.798</td>
                <td>1.351</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>We often obtain medical care from herbalists</td>
                <td>10.99</td>
                <td>26.7</td>
                <td>5.76</td>
                <td>42.67</td>
                <td>13.87</td>
                <td>3.217</td>
                <td>1.283</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I walk more than 5kms to the             nearest health Centre/hospital.</td>
                <td>20.94</td>
                <td>27.49</td>
                <td>4.19</td>
                <td>37.43</td>
                <td>9.95</td>
                <td>2.88</td>
                <td>1.369</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I spend more time waiting for health services</td>
                <td>15.45</td>
                <td>23.56</td>
                <td>3.14</td>
                <td>49.74</td>
                <td>8.12</td>
                <td>3.115</td>
                <td>1.291</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>The health workers are not experienced which puts my life at a risk.</td>
                <td>28.53</td>
                <td>29.84</td>
                <td>17.54</td>
                <td>19.9</td>
                <td>4.19</td>
                <td>2.414</td>
                <td>1.211</td>
                <td>382</td>
                <td>Low</td>
              </tr>
              <tr>
                <td>My family is unable to get three meals per day</td>
                <td>25.39</td>
                <td>26.18</td>
                <td>4.45</td>
                <td>37.96</td>
                <td>6.02</td>
                <td>2.73</td>
                <td>1.353</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I do not grow my own food</td>
                <td>18.06</td>
                <td>24.61</td>
                <td>3.93</td>
                <td>39.27</td>
                <td>14.14</td>
                <td>3.068</td>
                <td>1.388</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I am sometimes worried that my food would run out before I get money to buy more.</td>
                <td>11.52</td>
                <td>18.06</td>
                <td>5.76</td>
                <td>40.84</td>
                <td>23.82</td>
                <td>3.474</td>
                <td>1.335</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I lack the ability to have a balanced diet composed of Vitamins, Carbohydrates and Proteins among others.</td>
                <td>11.78</td>
                <td>32.2</td>
                <td>5.24</td>
                <td>40.58</td>
                <td>10.21</td>
                <td>3.052</td>
                <td>1.268</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I am a peasant farmer (grow crops &amp; rear animals).</td>
                <td>26.7</td>
                <td>17.02</td>
                <td>6.28</td>
                <td>36.39</td>
                <td>13.61</td>
                <td>2.932</td>
                <td>1.465</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I don’t have a job to raise income for my family</td>
                <td>16.49</td>
                <td>23.3</td>
                <td>3.93</td>
                <td>40.31</td>
                <td>15.97</td>
                <td>3.16</td>
                <td>1.383</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>I am a housewife and therefore              unemployed.</td>
                <td>14.66</td>
                <td>23.82</td>
                <td>4.97</td>
                <td>38.74</td>
                <td>17.8</td>
                <td>3.212</td>
                <td>1.373</td>
                <td>382</td>
                <td>Moderate</td>
              </tr>
              <tr>
                <td>
                  <bold>Overall</bold>
                </td>
                <td>
                  <bold> </bold>
                </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td> </td>
                <td>
                  <bold>2.806</bold>
                </td>
                <td>
                  <bold>0.764</bold>
                </td>
                <td>
                  <bold>382</bold>
                </td>
                <td>
                  <bold>Moderate</bold>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <sec id="idm1841328292">
          <title>The relationship between economic masculinity support and the well-being of married women</title>
          <p>Economic masculinity support reflects the extent to which husbands contribute to their families'                    financial stability and empower their wives in economic decisions. In many households, traditional gender norms in Luwero reinforce male dominance in financial matters, limiting women's control over resources and economic opportunities. Many women face financial neglect, lack decision-making  power over land and property, and experience restrictions on employment and income-generating                 activities. These dynamics contribute to economic dependence, making it difficult for women to                         support their families, access financial opportunities, and achieve financial independence.</p>
          <table-wrap id="idm1842145452">
            <label>Table 3.</label>
            <caption>
              <title> Respondents' perceptions of economic masculinity support</title>
            </caption>
            <table rules="all" frame="box">
              <tbody>
                <tr>
                  <th>
                    <bold>Economic Masculinity Support</bold>
                  </th>
                  <td>
                    <bold>SD</bold>
                  </td>
                  <td>
                    <bold>D</bold>
                  </td>
                  <td>
                    <bold>NS</bold>
                  </td>
                  <td>
                    <bold>A</bold>
                  </td>
                  <td>
                    <bold>SA</bold>
                  </td>
                  <td>
                    <bold>Mean</bold>
                  </td>
                  <td>
                    <bold>Standard deviation</bold>
                  </td>
                  <td>
                    <bold>Sample (n)</bold>
                  </td>
                  <td>
                    <bold>Interpretation</bold>
                  </td>
                </tr>
                <tr>
                  <td>My husband does not  support me in the              education of our children.</td>
                  <td>34.03</td>
                  <td>31.41</td>
                  <td>7.59</td>
                  <td>15.45</td>
                  <td>11.52</td>
                  <td>2.390</td>
                  <td>1.387</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>My husband does not want to construct a house for our family, nor pay rent for our                         accommodation.</td>
                  <td>27.49</td>
                  <td>37.7</td>
                  <td>8.38</td>
                  <td>15.97</td>
                  <td>10.47</td>
                  <td>2.442</td>
                  <td>1.322</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>I cannot dig the land  without permission of my husband.</td>
                  <td>23.04</td>
                  <td>32.2</td>
                  <td>8.12</td>
                  <td>16.75</td>
                  <td>19.9</td>
                  <td>2.783</td>
                  <td>1.471</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>I cannot sell an animal without permission of my husband.</td>
                  <td>16.49</td>
                  <td>23.82</td>
                  <td>8.9</td>
                  <td>30.37</td>
                  <td>20.42</td>
                  <td>3.144</td>
                  <td>1.415</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>I lack access to land and other resources for use at home</td>
                  <td>18.06</td>
                  <td>30.37</td>
                  <td>8.38</td>
                  <td>22.77</td>
                  <td>20.42</td>
                  <td>2.971</td>
                  <td>1.441</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>My husband does not seek my agreement before  buying anything big for example, land, vehicle, motorbike, among others.</td>
                  <td>23.56</td>
                  <td>28.01</td>
                  <td>7.85</td>
                  <td>24.08</td>
                  <td>16.49</td>
                  <td>2.819</td>
                  <td>1.448</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>My husband does not help me get a loan for my income-generating project.</td>
                  <td>17.02</td>
                  <td>32.46</td>
                  <td>10.21</td>
                  <td>21.47</td>
                  <td>18.85</td>
                  <td>2.927</td>
                  <td>1.405</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>My husband discourages me in joining SACCO and VSLA groups.</td>
                  <td>17.02</td>
                  <td>37.7</td>
                  <td>9.16</td>
                  <td>17.8</td>
                  <td>18.32</td>
                  <td>2.827</td>
                  <td>1.394</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>My husband does not  provide money for transport when I am to visit the health facility.</td>
                  <td>18.59</td>
                  <td>44.5</td>
                  <td>7.59</td>
                  <td>17.28</td>
                  <td>12.04</td>
                  <td>2.597</td>
                  <td>1.298</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
                <tr>
                  <td>My husband does not buy clothes and shoes for me.</td>
                  <td>21.47</td>
                  <td>44.24</td>
                  <td>7.07</td>
                  <td>17.54</td>
                  <td>9.69</td>
                  <td>2.497</td>
                  <td>1.271</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>My husband does not  provide food at home.</td>
                  <td>30.37</td>
                  <td>42.15</td>
                  <td>7.85</td>
                  <td>11.52</td>
                  <td>8.12</td>
                  <td>2.249</td>
                  <td>1.231</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>My husband stopped me from being employed.</td>
                  <td>28.53</td>
                  <td>32.98</td>
                  <td>8.9</td>
                  <td>20.94</td>
                  <td>8.64</td>
                  <td>2.482</td>
                  <td>1.327</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>My husband has not            supported me in starting a business.</td>
                  <td>25.13</td>
                  <td>36.91</td>
                  <td>8.64</td>
                  <td>18.06</td>
                  <td>11.26</td>
                  <td>2.534</td>
                  <td>1.339</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>My husband does not have a job to raise money to support our family.</td>
                  <td>27.49</td>
                  <td>39.53</td>
                  <td>8.12</td>
                  <td>15.71</td>
                  <td>9.16</td>
                  <td>2.395</td>
                  <td>1.287</td>
                  <td>382</td>
                  <td>Low</td>
                </tr>
                <tr>
                  <td>Overall</td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td> </td>
                  <td>2.647</td>
                  <td>1.004</td>
                  <td>382</td>
                  <td>Moderate</td>
                </tr>
              </tbody>
            </table>
            <table-wrap-foot>
              <fn id="idm1841221596">
                <label/>
                <p>Source: Primary data 2024</p>
              </fn>
              <fn id="idm1841221380">
                <label/>
                <p>Legend: Very high (4.24 – 5.00), High (3.43 – 4.23), Moderate (2.62 – 3.42), Low (1.81 – 2. 61), Very Low (1.00 – 1.80)</p>
              </fn>
            </table-wrap-foot>
          </table-wrap>
        </sec>
        <sec id="idm1841219868">
          <title>Correlation between economic masculinity support and the well-being of women</title>
          <p>A correlation between 0.00 and 0.19 is considered very weak, indicating little to no relationship                  between variables. The range of 0.20 to 0.39 represents a weak correlation, suggesting a small but                noticeable connection. A correlation between 0.40 and 0.59 is classified as moderate, showing a                meaningful but not definitive relationship. When the coefficient falls between 0.60 and 0.79, it is               considered strong, indicating a significant association between the variables. A correlation ranging from 0.80 to 1.00 is classified as very strong, meaning the variables have a highly consistent and            predictable relationship.</p>
          <p>The correlation analysis between economic masculinity support and the well-being of women shows a moderate positive relationship, with a correlation coefficient of 0.55. This indicates that as economic masculinity support increases, the well-being of women also tends to improve. The p-value of 0.0000 confirms that this correlation is statistically significant, meaning the observed relationship is highly unlikely to have occurred by chance.</p>
          <p>The moderate positive correlation suggests that increases in economic masculinity support are associated with improvements in various dimensions of women’s wellbeing, including physical health, mental health, and overall quality of life. The statistically significant p-value of 0.0000 further reinforces the reliability of this relationship, indicating that the findings are not due to random chance.</p>
          <fig id="idm1841969948">
            <label>Table 4.</label>
            <caption>
              <title> Correlations between economic masculinity support and the well-being of women</title>
            </caption>
            <graphic xlink:href="images/image1.jpg" mime-subtype="jpg"/>
          </fig>
        </sec>
        <sec id="idm1841220228">
          <title>Regression analysis results for the influence of economic masculinity support and the well-being of women</title>
          <p>Regression analysis further confirmed the significance of economic masculinity support in predicting women's well-being. The regression coefficient for economic masculinity support was 0.42, meaning that each unit increase in economic masculinity support leads to a 0.42-unit improvement in women's well-being. This relationship was highly statistically significant at the 1% level (p &lt; 0.01), reinforcing the strength of the link.</p>
          <p>The model’s adjusted R-squared value was rounded off to 0.30, indicating that approximately 30% of the variability in women’s well-being can be explained by economic masculinity support. While this is substantial, it also suggests that other factors account for the remaining 70% of well-being variability, highlighting the complexity of women's lives and the influence of multiple determinants beyond               economic support.</p>
          <fig id="idm1841967356">
            <label>Table 5.</label>
            <caption>
              <title> Regression analysis for the influence of economic masculinity support and the well-being of women</title>
            </caption>
            <graphic xlink:href="images/image2.jpg" mime-subtype="jpg"/>
          </fig>
        </sec>
      </sec>
    </sec>
    <sec id="idm1841218284">
      <title>Model findings </title>
      <p>Findings of the linear regression model revealed a strong positive relationship between economic              masculinity support and women's well-being. The linear regression analysis demonstrated that                   economic support significantly enhanced women’s access to key resources (β = 0.42, p &lt; 0.000).   Women who received consistent financial support from their spouses reported greater food security, better access to healthcare services, improved school enrollment for their children, and better housing conditions.</p>
    </sec>
    <sec id="idm1841218068" sec-type="discussion">
      <title>Discussion</title>
      <p>The study’s findings highlight the significance of economic masculinity support in enhancing women’s overall well-being, indicating that an increase in economic masculinity increases women's well-being. The findings emphasize the importance of financial resources in improving women's well-being. These findings align with existing literature, which posits that economic stability and support influence access to healthcare, education, and other essential services <xref ref-type="bibr" rid="ridm1842132684">11</xref><xref ref-type="bibr" rid="ridm1842121236">15</xref><xref ref-type="bibr" rid="ridm1842390156">4</xref>. </p>
      <p>Findings also revealed a moderate relationship between economic support and women's access to basic needs such as food, healthcare, education, and housing. However, cultural norms restricting women’s control over financial resources were identified as a limiting factor to sustainable empowerment. The study recommends promoting financial literacy, joint financial decision-making, and community                 sensitization to transform cultural attitudes toward gender relations. In a similar vein, <xref ref-type="bibr" rid="ridm1842090956">22</xref> investigated the effects of targeted financial interventions on women's health and well-being in urban settings. Their findings revealed that women who received economic support through financial literacy programs and employment initiatives reported higher levels of life satisfaction and reduced anxiety related to                financial instability. This aligns with the current study's assertion that economic support alleviates stress and fosters a sense of agency among women, highlighting the multifaceted benefits of such             interventions.</p>
      <p>Additionally, a 2021 study provides insights into the long-term effects of economic empowerment on women’s health <xref ref-type="bibr" rid="ridm1842085556">23</xref>. Their longitudinal research indicated that women who experienced sustained                   economic support over time exhibited better health outcomes and a more positive outlook on life. This supports the current findings that suggest economic support enhances not only immediate well-being but also contributes to a sustained improvement in quality of life</p>
      <p>From a researcher’s perspective, these findings highlight the vital intersection between economic                  masculinity support and empowerment. Economic masculinity support does not merely provide                     financial resources; it also fosters a sense of agency and self-efficacy among women. As women                  experience increased financial autonomy, they are more likely to make decisions that enhance their well-being, from health choices to educational pursuits for their children. Additionally, policymakers should prioritize economic empowerment initiatives, including access to financial resources and                  educational opportunities, as they are instrumental in enhancing women's well-being. As stated by             several scholars <xref ref-type="bibr" rid="ridm1842132684">11</xref><xref ref-type="bibr" rid="ridm1842121236">15</xref><xref ref-type="bibr" rid="ridm1842390156">4</xref>, the intersection of economic support and emotional well-being is crucial in  creating sustainable change for women. By creating supportive environments that prioritize both                emotional and economic well-being, we can foster healthier communities and ultimately promote  greater gender equity.</p>
      <sec id="idm1841217276">
        <title>The Role of Entrepreneurial Support</title>
        <p>Beyond basic financial provision, entrepreneurial support emerged as a critical factor in enhancing women's autonomy. Women who received capital support, mentorship, or encouragement to start             income-generating activities displayed greater financial independence and confidence.</p>
      </sec>
      <sec id="idm1841216844">
        <title>Persistent Challenges and Limitations</title>
        <p>Despite the positive impacts, the study identified several persistent challenges. In many cases, while women had access to financial resources, ultimate control remained with their male partners. Economic support was often conditional on women fulfilling traditional roles such as caregiving and domestic service.</p>
        <p>Moreover, disputes within households sometimes resulted in the withdrawal of financial support,   thereby reasserting male dominance. Such dependency made women vulnerable to economic insecurity and limited their ability to make autonomous decisions. These findings highlight the limitations of  economic support that is not paired with genuine empowerment and autonomy.</p>
        <p>The current study had several strengths and limitations. The first key strength is that it is among the few studies globally to examine the influence of economic masculinity support on married women's well-being. The study was conducted in rural areas, depicting a clear picture of economic masculinity support among women in rural-poor villages. We obtained a sufficient sample size, which enabled the team to determine associations. In terms of limitations, the study employed a cross-sectional design, which is limited in terms of examining causal effects. The study targeted married women from selected villages in Luwero district, which may not fully capture the entire district status. More research should be conducted with a focus on the entire married women in Luwero district.  </p>
      </sec>
      <sec id="idm1841215980">
        <title>Gaps Between Policy and Practice</title>
        <p>Although Uganda's policies advocate for women’s economic empowerment, practical implementation at the local level is weak. Many women in Luwero District reported difficulties in accessing independent credit, land ownership, and formal employment opportunities. As a result, the benefits of economic masculinity support were often short-term and fragile, dependent largely on the stability of marital relationships rather than institutional guarantees of rights.</p>
      </sec>
    </sec>
    <sec id="idm1841214468" sec-type="conclusions">
      <title>Conclusion</title>
      <p>The findings demonstrated that economic masculinity support significantly improves the immediate well-being of women in Luwero District by enhancing access to food, healthcare, education, and              housing. However, true empowerment requires more than financial provision; it demands that women have the autonomy to control and allocate financial resources. Without addressing the cultural and structural barriers that restrict women’s independence, economic support risks reinforcing traditional dependencies rather than creating pathways to sustainable empowerment.</p>
    </sec>
    <sec id="idm1841215116">
      <title>Recommendations</title>
      <p>The government of Uganda, through the Ministry of Gender, Labour and Social Development (MoGLSD), should promote financial literacy programs widely across the district to equip women with the knowledge and confidence to manage resources independently. Initiatives that encourage joint               financial planning between spouses should be developed, fostering a spirit of partnership rather than control. Entrepreneurial programs targeting women should be expanded, providing access to start-up capital, training, and mentorship. Community sensitization campaigns should challenge restrictive            gender norms, promoting a vision of masculinity that supports equality and shared responsibility.               Enforcement of gender equality policies must be strengthened, ensuring that women have legal access to credit, land, and employment opportunities independent of male control. Only through a combined focus on financial support, empowerment, and cultural change can economic masculinity support truly enhance the well-being and prospects of women in Luwero District.</p>
      <p>These results imply that interventions aimed at increasing economic masculinity support for women, such as financial literacy programs, access to credit, and employment initiatives, could have                           far-reaching effects on their well-being. By addressing economic disparities and promoting financial independence, policymakers and organizations can facilitate improvements not only in women’s                quality of life but also in their families and communities.</p>
    </sec>
    <sec id="idm1841215404">
      <title>Authors contribution</title>
      <p>All authors contributed to the study. PK conceptualized the study and participated in writing the manuscript; FA participated in manuscript writing and editing; MM and CE supervised the entire research process as the study supervisors.</p>
    </sec>
    <sec id="idm1841214612">
      <title>Funding </title>
      <p>This study was self-sponsored, so no funding was received.</p>
    </sec>
    <sec id="idm1841216268">
      <title>Data availability</title>
      <p>Data is available on request</p>
    </sec>
  </body>
  <back>
    <glossary>
      <title>Abbreviations</title>
      <def-list>
        <def-item>
          <term>CIUREC: Clarke International University Research Ethics Committee</term>
          <def>
            <p/>
          </def>
        </def-item>
        <def-item>
          <term>GEM: Gender Empowerment Measure</term>
          <def>
            <p/>
          </def>
        </def-item>
        <def-item>
          <term>MoGLSD: Ministry of Gender</term>
          <def>
            <p>Labour and Social Development</p>
          </def>
        </def-item>
        <def-item>
          <term>SACCO: Saving and Credit Cooperative</term>
          <def>
            <p/>
          </def>
        </def-item>
        <def-item>
          <term>UND: National Development Plan</term>
          <def>
            <p/>
          </def>
        </def-item>
        <def-item>
          <term>UNCST: Uganda National Council for Science and Technology</term>
          <def>
            <p/>
          </def>
        </def-item>
      </def-list>
    </glossary>
    <ref-list>
      <ref id="ridm1842312684">
        <label>1.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Bank</surname>
            <given-names>World</given-names>
          </name>
          <article-title>and development report 2023.Washington, DC:</article-title>
          <date>
            <year>2023</year>
          </date>
          <publisher-name>World Bank Group</publisher-name>
        </mixed-citation>
      </ref>
      <ref id="ridm1842315852">
        <label>2.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>L</surname>
            <given-names/>
          </name>
          <article-title>Determinants of partner violence in low and middle-income countries: exploring variation in individual and population-level risk (Doctoral dissertation</article-title>
          <date>
            <year>2012</year>
          </date>
          <source>London School of Hygiene &amp; Tropical Medicine)</source>
        </mixed-citation>
      </ref>
      <ref id="ridm1842319604">
        <label>3.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>OECD</surname>
            <given-names/>
          </name>
          <article-title>Enough? Measuring Masculine Norms to Promote Women’s Empowerment, Social Institutions and Gender Index</article-title>
          <date>
            <year>2021</year>
          </date>
          <publisher-name>OECD Publishing, Paris,https://doi.org/10.1787/6ffd1936-en</publisher-name>
        </mixed-citation>
      </ref>
      <ref id="ridm1842390156">
        <label>4.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>A</surname>
            <given-names>M Buller</given-names>
          </name>
          <name>
            <surname>Hidrobo</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>Peterman</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>Heise</surname>
            <given-names>L</given-names>
          </name>
          <article-title>The way to a man’s heart is through his stomach?: a mixed methods study on causal mechanisms through which cash and in-kind food transfers decreased intimate partner violence.BMC public health,16</article-title>
          <date>
            <year>2016</year>
          </date>
          <fpage>1</fpage>
          <lpage>13</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842167908">
        <label>5.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Gonalons-Pons</surname>
            <given-names>P</given-names>
          </name>
          <name>
            <surname>Gangl</surname>
            <given-names>M</given-names>
          </name>
          <article-title>Marriage and Masculinity: Male-Breadwinner Culture, Unemployment, and Separation Risk in 29 Countries.American sociological review,86(3)</article-title>
          <date>
            <year>2021</year>
          </date>
          <fpage>465</fpage>
          <lpage>502</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842173452">
        <label>6.</label>
        <mixed-citation xlink:type="simple" publication-type="book">
          <name>
            <surname>Seymour</surname>
            <given-names>G</given-names>
          </name>
          <name>
            <surname>Peterman</surname>
            <given-names>A</given-names>
          </name>
          <article-title>Context and measurement: An analysis of the relationship between intrahousehold decision making and autonomy.World</article-title>
          <date>
            <year>2018</year>
          </date>
          <chapter-title>Development,111</chapter-title>
          <fpage>97</fpage>
          <lpage>112</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842170140">
        <label>7.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Zegenhagen</surname>
            <given-names>S</given-names>
          </name>
          <name>
            <surname>Ranganathan</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>A</surname>
            <given-names>M Buller</given-names>
          </name>
          <article-title>Household decision-making and its association with intimate partner violence: Examining differences in men's and women's perceptions in Uganda. SSM-population health,8</article-title>
          <date>
            <year>2019</year>
          </date>
          <fpage>100442</fpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842158188">
        <label>8.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Hughes</surname>
            <given-names>C</given-names>
          </name>
          <name>
            <surname>Bolis</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>Fries</surname>
            <given-names>R</given-names>
          </name>
          <name>
            <surname>Finigan</surname>
            <given-names>S</given-names>
          </name>
          <article-title>Women's economic inequality and domestic violence: exploring the links and empowering women</article-title>
          <date>
            <year>2015</year>
          </date>
          <source>Gender &amp; Development</source>
          <volume>23</volume>
          <issue>2</issue>
          <fpage>279</fpage>
          <lpage>297</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842154876">
        <label>9.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Hu</surname>
            <given-names>Y</given-names>
          </name>
          <name>
            <surname>Li</surname>
            <given-names>J</given-names>
          </name>
          <name>
            <surname>Ye</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>Wang</surname>
            <given-names>H</given-names>
          </name>
          <article-title>The relationship between couples’ gender-role attitudes congruence and wives’ family interference with work.Psychology Research and Behavior Management</article-title>
          <date>
            <year>2021</year>
          </date>
          <fpage>49</fpage>
          <lpage>59</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842135852">
        <label>10.</label>
        <mixed-citation xlink:type="simple" publication-type="book">
          <name>
            <surname>Gwak</surname>
            <given-names>H</given-names>
          </name>
          <name>
            <surname>Choi</surname>
            <given-names>E</given-names>
          </name>
          <article-title>Influence factors of labor force participation for married women: Focusing on the gender unequal structure in household and labor market.Womens</article-title>
          <date>
            <year>2015</year>
          </date>
          <chapter-title>Study,88</chapter-title>
          <fpage>429</fpage>
          <lpage>456</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842132684">
        <label>11.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Sharkey</surname>
            <given-names>P</given-names>
          </name>
          <name>
            <surname>Torrats-Espinosa</surname>
            <given-names>G</given-names>
          </name>
          <name>
            <surname>Takyar</surname>
            <given-names>D</given-names>
          </name>
          <article-title>Community and the crime decline: The causal effect of local nonprofits on violent crime</article-title>
          <date>
            <year>2017</year>
          </date>
          <source>American Sociological</source>
          <volume>82</volume>
          <issue>6</issue>
          <fpage>1214</fpage>
          <lpage>1240</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842136644">
        <label>12.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Treacy</surname>
            <given-names>L</given-names>
          </name>
          <name>
            <surname>H</surname>
            <given-names>A Bolkan</given-names>
          </name>
          <name>
            <surname>Sagbakken</surname>
            <given-names>M</given-names>
          </name>
          <article-title>Distance, accessibility and costs. decision-making during childbirth in rural Sierra Leone: a qualitative study.PLoS One,13(2)</article-title>
          <date>
            <year>2018</year>
          </date>
        </mixed-citation>
      </ref>
      <ref id="ridm1842128580">
        <label>13.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Owiti</surname>
            <given-names>E</given-names>
          </name>
          <article-title>Intimate Partner Violence Against Women in Kenya</article-title>
          <date>
            <year>2019</year>
          </date>
        </mixed-citation>
      </ref>
      <ref id="ridm1842126132">
        <label>14.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Kalonda</surname>
            <given-names>Omba</given-names>
          </name>
          <name>
            <surname>C</surname>
            <given-names>J</given-names>
          </name>
          <article-title>Socioeconomic impact of armed conflict on the health of women and children in the Democratic Republic of the Congo.Medecine tropicale: revue du corps de sante</article-title>
          <date>
            <year>2011</year>
          </date>
          <volume>71</volume>
          <issue>2</issue>
          <fpage>192</fpage>
          <lpage>196</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842121236">
        <label>15.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Peterman</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>Schwab</surname>
            <given-names>B</given-names>
          </name>
          <name>
            <surname>Roy</surname>
            <given-names>S</given-names>
          </name>
          <name>
            <surname>Hidrobo</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>D</surname>
            <given-names>O Gilligan</given-names>
          </name>
          <article-title>Measuring women's decision making: indicator choice and survey design experiments from cash and food transfer evaluations in Ecuador</article-title>
          <date>
            <year>2015</year>
          </date>
          <publisher-loc>Uganda, and Yemen</publisher-loc>
        </mixed-citation>
      </ref>
      <ref id="ridm1842120084">
        <label>16.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <article-title>UN Women.Progress on the sustainable development goals: Gender snapshot.New</article-title>
          <date>
            <year>2022</year>
          </date>
          <publisher-loc>York, NY: UN Women</publisher-loc>
        </mixed-citation>
      </ref>
      <ref id="ridm1842117132">
        <label>17.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Ahikire</surname>
            <given-names>J</given-names>
          </name>
          <name>
            <surname>Mwiine</surname>
            <given-names>A</given-names>
          </name>
          <article-title>equality in Uganda: A status report.Kampala: Friedrich Ebert Stiftung</article-title>
          <date>
            <year>2015</year>
          </date>
        </mixed-citation>
      </ref>
      <ref id="ridm1842114108">
        <label>18.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Park</surname>
            <given-names>E</given-names>
          </name>
          <name>
            <surname>S</surname>
            <given-names>J Wolfe</given-names>
          </name>
          <name>
            <surname>Nalugoda</surname>
            <given-names>F</given-names>
          </name>
          <name>
            <surname>Stark</surname>
            <given-names>L</given-names>
          </name>
          <name>
            <surname>Nakyanjo</surname>
            <given-names>N</given-names>
          </name>
          <name>
            <surname>Ddaaki</surname>
            <given-names>W</given-names>
          </name>
          <name>
            <surname>Ssekyewa</surname>
            <given-names>C</given-names>
          </name>
          <name>
            <surname>J</surname>
            <given-names>A Wagman</given-names>
          </name>
          <article-title>Examining Masculinities to Inform Gender-Transformative Violence Prevention Programs: Qualitative Findings From Rakai, Uganda.Global health</article-title>
          <date>
            <year>2022</year>
          </date>
          <source>science and</source>
          <volume>10</volume>
          <issue>1</issue>
          <fpage>2100137</fpage>
          <lpage>10</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842096140">
        <label>19.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Nabasirye</surname>
            <given-names>M</given-names>
          </name>
          <name>
            <surname>E</surname>
            <given-names>M Kyomuhangi-Manyindo</given-names>
          </name>
          <name>
            <surname>Namuddu</surname>
            <given-names>R</given-names>
          </name>
          <date>
            <year>2024</year>
          </date>
          <source>THE INFLUENCE OF CULTURAL NORMS ON FINANCIAL EMPOWERMENT OF WOMEN IN UGANDA’S MICRO AND SMALL ENTERPRISES.Research Journal of Business and</source>
          <volume>11</volume>
          <issue>1</issue>
          <fpage>51</fpage>
          <lpage>59</lpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842092108">
        <label>20.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Kasule</surname>
            <given-names>Nabwowe</given-names>
          </name>
          <name>
            <surname>Mncwabe</surname>
            <given-names>A</given-names>
          </name>
          <name>
            <surname>N</surname>
            <given-names/>
          </name>
          <article-title>Social and Economic Rights in Uganda: Has the National Development Plan II (2015/16-2019/20) lived up to its Expectations?</article-title>
          <date>
            <year>2019</year>
          </date>
        </mixed-citation>
      </ref>
      <ref id="ridm1842091604">
        <label>21.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>Nkurunungi</surname>
            <given-names>C</given-names>
          </name>
          <article-title>A critical review on how women emancipation has been achieved since the 1995 constitution of the republic of Uganda</article-title>
          <date>
            <year>2019</year>
          </date>
        </mixed-citation>
      </ref>
      <ref id="ridm1842090956">
        <label>22.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>E</surname>
            <given-names>C Clark</given-names>
          </name>
          <name>
            <surname>Cranston</surname>
            <given-names>E</given-names>
          </name>
          <name>
            <surname>Polin</surname>
            <given-names>T</given-names>
          </name>
          <name>
            <surname>Ndumbe-Eyoh</surname>
            <given-names>S</given-names>
          </name>
          <name>
            <surname>MacDonald</surname>
            <given-names>D</given-names>
          </name>
          <name>
            <surname>Betker</surname>
            <given-names>C</given-names>
          </name>
          <name>
            <surname>Dobbins</surname>
            <given-names>M</given-names>
          </name>
          <article-title>Structural interventions that affect racial inequities and their impact on population health outcomes: a systematic review.BMC Public Health,22(1)</article-title>
          <date>
            <year>2022</year>
          </date>
          <fpage>2162</fpage>
        </mixed-citation>
      </ref>
      <ref id="ridm1842085556">
        <label>23.</label>
        <mixed-citation xlink:type="simple" publication-type="journal">
          <name>
            <surname>E</surname>
            <given-names>R Garcia</given-names>
          </name>
          <name>
            <surname>J</surname>
            <given-names>K Stoever</given-names>
          </name>
          <name>
            <surname>Wang</surname>
            <given-names>P</given-names>
          </name>
          <name>
            <surname>I</surname>
            <given-names>S Yim</given-names>
          </name>
          <article-title>Empowerment, stress, and depressive symptoms among female survivors of intimate partner violence attending personal empowerment programs.Journal of interpersonal violence,36(19-20)</article-title>
          <date>
            <year>2021</year>
          </date>
          <fpage>9557</fpage>
          <lpage>9579</lpage>
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>
