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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1622333</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Public Health</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Associations among parental mental health, lifestyle factors and infant mortality in rural and urban mothers</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shah</surname>
<given-names>S. Mudasser</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zijin</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Jahangir</surname>
<given-names>Muhammad</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1203486/overview"/>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Alharbi</surname>
<given-names>Fatimah Sayer</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Wenrui</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Lin</surname>
<given-names>Xiuyun</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="corresp" rid="c002"><sup>&#x002A;</sup></xref>
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<aff id="aff1"><sup>1</sup><institution>Institute of Developmental Psychology, Beijing Normal University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<aff id="aff2"><sup>2</sup><institution>Affiliated Mental Health Center and Hangzhou Seventh Peoples Hospital, Zhejiang University School of Medicine</institution>, <addr-line>Zhejiang</addr-line>, <country>China</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Health Sciences, College of Health and Rehabilitation Sciences, Princess Nourah Bint Abdulrahman University</institution>, <addr-line>Riyadh</addr-line>, <country>Saudi Arabia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Beijing Key Laboratory of Applied Experimental Psychology, Faculty of Psychology, Beijing Normal University</institution>, <addr-line>Beijing</addr-line>, <country>China</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/370862/overview">Raymond Akawire Aborigo</ext-link>, Navrongo Health Research Centre, Ghana</p>
</fn>
<fn fn-type="edited-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2505204/overview">Davi Rumel</ext-link>, Retired, S&#x00E3;o Paulo, Brazil</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2331979/overview">Amira Shalaby</ext-link>, Assiut University, Egypt</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2994845/overview">Winda Ayu Fazraningtyas</ext-link>, Universitas Sari Mulia, Indonesia</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3082830/overview">Bimal Kumar Sahoo</ext-link>, SJMCH, India</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Fatimah Sayer Alharbi, <email>fsaalharbi@pnu.edu.sa</email></corresp>
<corresp id="c002">Xiuyun Lin, <email>linxy@bnu.edu.cn</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>01</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1622333</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>05</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>09</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Shah, Zhang, Jahangir, Alharbi, Zhang and Lin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Shah, Zhang, Jahangir, Alharbi, Zhang and Lin</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec id="sec1">
<title>Background</title>
<p>Infant mortality remains a critical public health concern, necessitating a comprehensive understanding of its determinants. This investigation aimed to examine associations between social determinants, lifestyle factors, and maternal mental health in relation to infant mortality.</p>
</sec>
<sec id="sec2">
<title>Methods</title>
<p>A cross-sectional survey was conducted among 500 mothers (250 rural, 250 urban) in Khyber Pakhtunkhwa (KPK), Pakistan. The Depression Anxiety Stress Scales (DASS-21) were employed to evaluate symptoms of anxiety, depression, and stress, while a Lifestyle and Habits Questionnaire collected data on physical activity and dietary patterns. Data was collected via questionnaires and demographic information from 500 mothers using purposive sampling. Key variables included rural/urban residence, age at marriage, socio-economic status, access to healthcare, type of delivery attendant, and under-5 mortality rates.</p>
</sec>
<sec id="sec3">
<title>Results</title>
<p>Rural mothers had significantly lower infant mortality rates (<italic>p</italic> =&#x202F;0.000) compared to urban mothers. Physical activity and diet were negatively correlated with depression, anxiety, and stress (<italic>p</italic> &#x003C;&#x202F;0.05). Rural mothers reported higher physical activity (<italic>M</italic> =&#x202F;23.46 vs. 21.79, <italic>p</italic> =&#x202F;0.001) and healthier diets (<italic>M</italic> =&#x202F;16.01 vs. 14.85, <italic>p</italic> =&#x202F;0.001). Urban mothers exhibited significantly higher levels of depression (<italic>M</italic> =&#x202F;6.59 vs. 1.63, <italic>p</italic> =&#x202F;0.000), anxiety (<italic>M</italic> =&#x202F;7.68 vs. 2.18, <italic>p</italic> =&#x202F;0.000), and stress (<italic>M</italic> =&#x202F;9.65 vs. 2.32, <italic>p</italic> =&#x202F;0.000). Early marriage was linked to increased anxiety and stress (<italic>p</italic> =&#x202F;0.000).</p>
</sec>
<sec id="sec4">
<title>Conclusion</title>
<p>Findings underscored the importance of addressing social determinants and fostering healthy lifestyles to improve maternal and child health outcomes. Interventions that promote access to healthcare, physical activity or healthy dietary habits can help make the infant mortality rates and the overall state of health of the mother better.</p>
</sec>
</abstract>
<kwd-group>
<kwd>mental health</kwd>
<kwd>depression</kwd>
<kwd>anxiety</kwd>
<kwd>physical activities</kwd>
<kwd>diet</kwd>
<kwd>infant mortality</kwd>
<kwd>rural mothers</kwd>
<kwd>urban mothers</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="77"/>
<page-count count="8"/>
<word-count count="6730"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Public Mental Health</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec5">
<title>Background</title>
<p>Infant death refers to the death of children under the age of one year and remains a key socioeconomic development indicator. UNICEF (<xref ref-type="bibr" rid="ref1">1</xref>) reported 4.9 million child deaths, with most being infants. These are largely preventable and linked to nutrition, maternal education, essential services, and health inequalities. Globally, 90% of infant deaths occur in low- and middle-income countries where poverty and poor health infrastructure dominate (<xref ref-type="bibr" rid="ref2">2</xref>). In South Asia, Pakistan ranks among the highest with 57 deaths per 1,000 live births, despite policy interventions (<xref ref-type="bibr" rid="ref1">1</xref>), highlighting the need to study social factors influencing mortality.</p>
<p>Determinants where people are born and live like socioeconomic, environmental, cultural, income, education, and healthcare access are critical (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). Poverty and low maternal education consistently predict higher mortality (<xref ref-type="bibr" rid="ref5 ref6 ref7">5&#x2013;7</xref>). Infants of uneducated mothers face greater death risk than those with educated mothers (<xref ref-type="bibr" rid="ref8">8</xref>). Inequalities are not limited to developing nations; in the U.S., African-American newborns have higher mortality due to racialized healthcare, income gaps, and neighborhood deprivation (<xref ref-type="bibr" rid="ref9 ref10 ref11">9&#x2013;11</xref>).</p>
<p>Urban&#x2013;rural divides remain persistent. Rural areas lack trained attendants and facilities, forcing reliance on traditional birth attendants (<xref ref-type="bibr" rid="ref12">12</xref>, <xref ref-type="bibr" rid="ref13">13</xref>). Urban settings, despite better access, face overcrowding, pollution, and poor sanitation (<xref ref-type="bibr" rid="ref14">14</xref>). In Pakistan, mountainous terrain, marginalization, and tribal norms cause delays in care, poor rural staffing, and fatal complications (<xref ref-type="bibr" rid="ref15 ref16 ref17">15&#x2013;17</xref>). Urban slums mirror many rural disadvantages (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>Maternal lifestyle is also crucial. Prenatal physical activity reduces preterm births, low birth weight, and gestational diabetes, with meta-analyses showing a 15&#x2013;30% reduction in adverse outcomes (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). Yet cultural barriers, safety concerns, and misconceptions restrict activity in Pakistan (<xref ref-type="bibr" rid="ref21 ref22 ref23 ref24">21&#x2013;24</xref>). Antenatal education promoting safe activity could improve outcomes. Nutrition is equally vital. Undernutrition contributes to intrauterine growth restriction, anemia, and LBW (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref26">26</xref>). Over 40% of Pakistani pregnant women are anemic, and one in five underweight (<xref ref-type="bibr" rid="ref27">27</xref>, <xref ref-type="bibr" rid="ref28">28</xref>). Food insecurity reduces antenatal care and nutrition counseling (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Diet diversity and supplementation with iron and folic acid remain essential (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>Maternal mental health is a significant but often neglected determinant. Stress, anxiety, and depression predict preterm birth, poor postnatal care, and LBW (<xref ref-type="bibr" rid="ref32">32</xref>, <xref ref-type="bibr" rid="ref33">33</xref>). Untreated illnesses reduce visits, breastfeeding, and bonding (<xref ref-type="bibr" rid="ref34">34</xref>). In Pakistan, stigma and lack of services lead to underdiagnosed perinatal depression, particularly in rural areas (<xref ref-type="bibr" rid="ref35">35</xref>). Such mothers often lack emotional support, nutrition, and antenatal care, with long-term cognitive and emotional risks for infants (<xref ref-type="bibr" rid="ref36">36</xref>).</p>
<p>In Khyber Pakhtunkhwa (KPK), early marriages and adolescent childbirth pose risks including obstructed labor, hemorrhage, LBW, and infant mortality (<xref ref-type="bibr" rid="ref37">37</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). Girls married under 18 face reduced education, limited autonomy, and poor reproductive health access (<xref ref-type="bibr" rid="ref39">39</xref>, <xref ref-type="bibr" rid="ref40">40</xref>). Nearly one-third in rural Pakistan marry before 18, worsening malnutrition and neonatal complications (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Addressing this requires legal enforcement, education, and culturally adapted outreach.</p>
<p>Existing studies document national determinants: disparities in Punjab (<xref ref-type="bibr" rid="ref43">43</xref>), cultural impacts in Sindh (<xref ref-type="bibr" rid="ref44">44</xref>), and links between maternal education, income, and outcomes (<xref ref-type="bibr" rid="ref45">45</xref>). However, literature on KPK is scarce, despite its unique cultural practices and geographical barriers. This study therefore investigates how social determinants like maternal mental health, physical activity, and dietary patterns shape infant survival in rural and urban KPK.</p>
<sec id="sec6">
<title>Conceptual framework: web of causation</title>
</sec>
</sec>
<sec sec-type="methods" id="sec7">
<title>Methods</title>
<sec id="sec8">
<title>Research design</title>
<p>The current study was correlational and cross-sectional in nature utilizing questionnaire survey targeting mothers residing in rural and urban areas of Khyber Pakhtunkhwa (KPK), Pakistan. KPK was chosen as the study location due to its distinct socio-economic, geographical, and cultural characteristics, as well as the region&#x2019;s historically elevated rates of infant mortality. The study period spanned from February 15, 2024, to September 1, 2024. This design was chosen to explore potential associations between maternal lifestyle factors, mental health, and infant mortality outcomes across different settings (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Web of causation model for infant mortality in rural and urban Pakistan (<xref ref-type="bibr" rid="ref43">43</xref>).</p>
</caption>
<graphic xlink:href="fpubh-13-1622333-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Flowchart illustrating factors leading to infant mortality. It begins with socio-environmental context: rural (increased poverty, less care) and urban (increased stress, decreased physical activity). It progresses to social determinants: marriage before eighteen and lack of healthcare. Next are lifestyle and psychosocial risks: decreased physical activity, poor diet, depression, increased anxiety, and stress. This leads to biological outcomes: increased preterm births and low birth weight, culminating in increased infant mortality rate (IMR).</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec9">
<title>Population</title>
<p>In the study ethical guidelines were strictly adhered to, with approval obtained from the Institutional Ethics Review Board. Informed consent was collected from all participants, and confidentiality was maintained by anonymizing responses and securely storing all data to ensure privacy throughout the study. The population was mothers of rural and urban areas who had experienced infant mortality. There were 500 samples chosen via purposive sampling techniques from rural and urban areas with 250 from rural and 250 from urban areas. The inclusion criteria were mothers from rural and urban areas, mothers married before or after the age of 18&#x202F;years, and participants who voluntarily agreed to participate and provide informed consent. The exclusion criteria were, excludes mothers who have had stillbirths or no live births, excludes mothers with severe uncontrolled medical conditions or psychiatric disorders. Excludes mothers who do not comply with study protocols or refuse participation and exclude participants with missing data on key variables (e.g., neonatal deaths, SES, delivery, healthcare access).</p>
</sec>
</sec>
<sec id="sec10">
<title>Instruments</title>
<sec id="sec11">
<title>Demographic sheet</title>
<p>Demographic information contains age, area, marriage before 18&#x202F;years, Socioeconomic status (lower, middle &#x0026; Higher), access to health care, attendant, delivery at home or hospital, number of neonatal deaths, and under 5 mortalities. Socioeconomic status was assessed using income categories outlined in a Dawn newspaper report dated April 2, 2024: 4,000&#x2013;20,000 PKR as lower, 50,000&#x2013;100,000 PKR as middle, and above as upper class (<xref ref-type="bibr" rid="ref44">44</xref>).</p>
</sec>
<sec id="sec12">
<title>Depression Anxiety Stress Scale (DASS)</title>
<p>The Depression Anxiety Stress Scales (DASS-21) is a popular self-report tool for gauging the intensity of depressive, anxious, and stress-related symptoms experienced in the previous seven days. The Depression Anxiety Stress Scale (DASS-21) was created by Lovibond and Lovibond and has a Cronbach Alpha of 0.91 for Depression, 0.81 for Anxiety, and 0.89 for Stress (<xref ref-type="bibr" rid="ref45">45</xref>). It is a valid and efficient way to measure emotional discomfort in these three areas.</p>
</sec>
<sec id="sec13">
<title>The lifestyle and habits questionnaire-B (LHQ-B)</title>
<p>It was developed by Dinzeo et al. (<xref ref-type="bibr" rid="ref46">46</xref>), which has 42-items with 5-points response range strongly disagree to strongly agree. It has 8 subscales, but we used only physical activity and diet with Cronbach Alpha ranging from 0.65 to 0.91.</p>
</sec>
<sec id="sec14">
<title>Statistical analysis</title>
<p>Statistical methods, chi-square tests were used to examine whether there is a significant association or difference between variables and for comparison. <italic>t</italic>-tests were used to compare the means (averages) of two groups to see if they are significantly different from each other. These tests were used to analyze the relationships between socio-economic factors, physical activity, diet, and mental health.</p>
</sec>
</sec>
<sec sec-type="results" id="sec15">
<title>Results</title>
<p>The current study tended to explore social determinants of infant mortality and compared rural and urban mothers. The results generated and tabulated are given below.</p>
<p><xref ref-type="table" rid="tab1">Table 1</xref> presents the characteristics of 500 mothers from Khyber Pakhtunkhwa, with a balanced representation from rural and urban areas. Key findings include a high percentage of young mothers married before the age of 18 (49.8%) and a clear trend toward middle-class socioeconomic status (54.4%) among the participants. Access to healthcare centers was notably low, with 54% of the participants reporting limited access. The majority of deliveries took place in hospitals (76.8%), and neonatal mortality was relatively low, with 79% of mothers reporting no neonatal deaths. These findings underscore the importance of healthcare access and early medical intervention in reducing infant mortality rates (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Basic characteristics of participants (<italic>n</italic>&#x202F;=&#x202F;500).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Variable</th>
<th align="left" valign="top">Categories</th>
<th align="center" valign="top"><italic>n</italic></th>
<th align="center" valign="top">%</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" colspan="4">Area</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top">250</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top">Urban</td>
<td align="center" valign="top">250</td>
<td align="center" valign="top">50</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Marriage under 18&#x202F;years old</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">249</td>
<td align="center" valign="top">49.8</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">251</td>
<td align="center" valign="top">50.2</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Socioeconomic status</td>
</tr>
<tr>
<td rowspan="3"/>
<td align="left" valign="top">Upper class</td>
<td align="center" valign="top">181</td>
<td align="center" valign="top">36.2</td>
</tr>
<tr>
<td align="left" valign="top">Middle class</td>
<td align="center" valign="top">272</td>
<td align="center" valign="top">54.4</td>
</tr>
<tr>
<td align="left" valign="top">Lower class</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">9.4</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Access to health care centre</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">230</td>
<td align="center" valign="top">46.0</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">270</td>
<td align="center" valign="top">54.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Attended delivery</td>
</tr>
<tr>
<td rowspan="3"/>
<td align="left" valign="top">Midwife</td>
<td align="center" valign="top">148</td>
<td align="center" valign="top">29.6</td>
</tr>
<tr>
<td align="left" valign="top">Nurse</td>
<td align="center" valign="top">215</td>
<td align="center" valign="top">43.0</td>
</tr>
<tr>
<td align="left" valign="top">Doctor</td>
<td align="center" valign="top">137</td>
<td align="center" valign="top">27.4</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">Delivery</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">At home</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top">23.2</td>
</tr>
<tr>
<td align="left" valign="top">At hospital</td>
<td align="center" valign="top">384</td>
<td align="center" valign="top">76.8</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">No. of neonatal deaths</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">0</td>
<td align="center" valign="top">395</td>
<td align="center" valign="top">79.0</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">105</td>
<td align="center" valign="top">21.0</td>
</tr>
<tr>
<td align="left" valign="top" colspan="4">No. of post neonatal deaths</td>
</tr>
<tr>
<td rowspan="2"/>
<td align="left" valign="top">0</td>
<td align="center" valign="top">438</td>
<td align="center" valign="top">87.6</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">62</td>
<td align="center" valign="top">12.4</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>Social determinant of infant mortality (<italic>n</italic>&#x202F;=&#x202F;500).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" rowspan="2">Social factors</th>
<th align="left" valign="top" rowspan="2">Perception</th>
<th align="center" valign="top" colspan="2">Infant mortality</th>
<th align="center" valign="top" rowspan="2">Total</th>
<th align="center" valign="top" rowspan="2"><italic>&#x03C7;</italic><sup>2</sup></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="top">Yes</th>
<th align="center" valign="top">No</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Area</td>
<td align="left" valign="top">Rural</td>
<td align="center" valign="top">98</td>
<td align="center" valign="top">152</td>
<td align="center" valign="top">250</td>
<td align="center" valign="top" rowspan="2">51.99</td>
<td align="center" valign="top" rowspan="2">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Urban</td>
<td align="center" valign="top">28</td>
<td align="center" valign="top">22</td>
<td align="center" valign="top">250</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Marriage before 18</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">91</td>
<td align="center" valign="top">158</td>
<td align="center" valign="top">249</td>
<td align="center" valign="top" rowspan="2">33.88</td>
<td align="center" valign="top" rowspan="2">0.000</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">216</td>
<td align="center" valign="top">251</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Socioeconomic status</td>
<td align="left" valign="top">Lower</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">134</td>
<td align="center" valign="top">181</td>
<td align="center" valign="top" rowspan="3">0.826</td>
<td align="center" valign="top" rowspan="3">0.662</td>
</tr>
<tr>
<td align="left" valign="top">Middle</td>
<td align="center" valign="top">65</td>
<td align="center" valign="top">207</td>
<td align="center" valign="top">272</td>
</tr>
<tr>
<td align="left" valign="top">Upper</td>
<td align="center" valign="top">14</td>
<td align="center" valign="top">33</td>
<td align="center" valign="top">47</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Access to health care center</td>
<td align="left" valign="top">Yes</td>
<td align="center" valign="top">47</td>
<td align="center" valign="top">183</td>
<td align="center" valign="top">230</td>
<td align="center" valign="top" rowspan="2">5.13</td>
<td align="center" valign="top" rowspan="2">0.030</td>
</tr>
<tr>
<td align="left" valign="top">No</td>
<td align="center" valign="top">79</td>
<td align="center" valign="top">191</td>
<td align="center" valign="top">270</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Delivery attended</td>
<td align="left" valign="top">Midwife</td>
<td align="center" valign="top">45</td>
<td align="center" valign="top">103</td>
<td align="center" valign="top">148</td>
<td align="center" valign="top" rowspan="3">3.17</td>
<td align="center" valign="top" rowspan="3">0.205</td>
</tr>
<tr>
<td align="left" valign="top">Nurse</td>
<td align="center" valign="top">51</td>
<td align="center" valign="top">164</td>
<td align="center" valign="top">215</td>
</tr>
<tr>
<td align="left" valign="top">Doctor</td>
<td align="center" valign="top">30</td>
<td align="center" valign="top">107</td>
<td align="center" valign="top">137</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Delivery</td>
<td align="left" valign="top">At home</td>
<td align="center" valign="top">35</td>
<td align="center" valign="top">81</td>
<td align="center" valign="top">116</td>
<td align="center" valign="top" rowspan="2">1.98</td>
<td align="center" valign="top" rowspan="2">0.180</td>
</tr>
<tr>
<td align="left" valign="top">At hospital</td>
<td align="center" valign="top">91</td>
<td align="center" valign="top">293</td>
<td align="center" valign="top">384</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Neonatal deaths</td>
<td align="left" valign="top">0</td>
<td align="center" valign="top">99</td>
<td align="center" valign="top">296</td>
<td align="center" valign="top">395</td>
<td align="center" valign="top" rowspan="2">0.019</td>
<td align="center" valign="top" rowspan="2">0.900</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">27</td>
<td align="center" valign="top">78</td>
<td align="center" valign="top">105</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Post neonatal deaths</td>
<td align="left" valign="top">0</td>
<td align="center" valign="top">108</td>
<td align="center" valign="top">330</td>
<td align="center" valign="top">438</td>
<td align="center" valign="top" rowspan="2">0.551</td>
<td align="center" valign="top" rowspan="2">0.439</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">18</td>
<td align="center" valign="top">44</td>
<td align="center" valign="top">62</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="2">Under 5&#x202F;years died</td>
<td align="left" valign="top">0</td>
<td align="center" valign="top">94</td>
<td align="center" valign="top">272</td>
<td align="center" valign="top">366</td>
<td align="center" valign="top" rowspan="2">0.169</td>
<td align="center" valign="top" rowspan="2">0.387</td>
</tr>
<tr>
<td align="left" valign="top">1</td>
<td align="center" valign="top">32</td>
<td align="center" valign="top">102</td>
<td align="center" valign="top">134</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>The analysis of social determinants of infant mortality revealed significant associations with certain factors. Areas with rural populations showed significantly higher rates of infant mortality compared to urban areas (&#x03C7;<sup>2</sup>&#x202F;=&#x202F;51.99, <italic>p</italic>&#x202F;=&#x202F;0.000). Additionally, early marriage (before 18&#x202F;years) was linked to a higher incidence of infant mortality (&#x03C7;<sup>2</sup>&#x202F;=&#x202F;33.88, <italic>p</italic> =&#x202F;0.000), and lack of access to health care centers also contributed to higher mortality rates (&#x03C7;<sup>2</sup>&#x202F;=&#x202F;5.13, <italic>p</italic>&#x202F;=&#x202F;0.030). On the other hand, no significant associations were found for other social determinants. Socioeconomic status did not appear to affect infant mortality (&#x03C7;<sup>2</sup>&#x202F;=&#x202F;0.826, <italic>p</italic>&#x202F;=&#x202F;0.662), and the type of birth attendant (midwife, nurse, or doctor) showed no significant difference in mortality rates (&#x03C7;<sup>2</sup>&#x202F;=&#x202F;3.17, <italic>p</italic>&#x202F;=&#x202F;0.205). Delivery location (home or hospital), neonatal deaths, post-neonatal deaths, and under-5-year deaths were also not significantly associated with infant mortality, as indicated by their respective <italic>p</italic>-values (all &#x003E; 0.05).</p>
<p><xref ref-type="table" rid="tab3">Table 3</xref> presents Pearson correlation coefficients exploring the relationships between lifestyle factors (physical activity and diet) and mental health outcomes (depression, anxiety, and stress) among rural and urban mothers (n&#x202F;=&#x202F;500). A statistically significant negative correlation was found between physical activity and depression (<italic>r</italic> =&#x202F;&#x2212;0.149, <italic>p</italic> &#x003C;&#x202F;0.01), anxiety (<italic>r</italic> =&#x202F;&#x2212;0.146, <italic>p</italic> &#x003C;&#x202F;0.01), and stress (<italic>r</italic> =&#x202F;&#x2212;0.135, <italic>p</italic> &#x003C;&#x202F;0.05), indicating that higher levels of physical activity are associated with lower levels of psychological distress. Similarly, diet was negatively correlated with depression (<italic>r</italic> =&#x202F;&#x2212;0.139, <italic>p</italic> &#x003C;&#x202F;0.05), anxiety (<italic>r</italic> =&#x202F;&#x2212;0.130, <italic>p</italic> &#x003C;&#x202F;0.05), and stress (<italic>r</italic> =&#x202F;&#x2212;0.152, <italic>p</italic> &#x003C;&#x202F;0.01), suggesting that healthier dietary habits are linked to better mental health. Strong positive correlations were also observed among the mental health variables themselves: depression with anxiety (<italic>r</italic> =&#x202F;0.660, <italic>p</italic> &#x003C;&#x202F;0.01), depression with stress (<italic>r</italic> =&#x202F;0.623, <italic>p</italic> &#x003C;&#x202F;0.01), and anxiety with stress (<italic>r</italic> =&#x202F;0.682, <italic>p</italic> &#x003C;&#x202F;0.01).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>Correlation among lifestyles (physical activity, diet), and mental health (depression, anxiety and stress) among rural and urban mothers (<italic>n</italic>&#x202F;=&#x202F;500).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th colspan="2">Variables</th>
<th align="center" valign="top">M</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">1</th>
<th align="center" valign="top">2</th>
<th align="center" valign="top">3</th>
<th align="center" valign="top">4</th>
<th align="center" valign="top">5</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Lifestyle</td>
<td align="left" valign="top">Physical activity</td>
<td align="center" valign="middle">22.63</td>
<td align="center" valign="middle">4.91</td>
<td align="center" valign="bottom">-</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Diet</td>
<td align="center" valign="middle">15.43</td>
<td align="center" valign="middle">3.35</td>
<td align="center" valign="bottom">0.551&#x002A;&#x002A;</td>
<td align="center" valign="bottom">-</td>
<td/>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Mental health</td>
<td align="left" valign="top">Depression</td>
<td align="center" valign="middle">5.44</td>
<td align="center" valign="middle">3.84</td>
<td align="center" valign="bottom">&#x2212;0.149&#x002A;&#x002A;</td>
<td align="center" valign="bottom">&#x2212;0.139&#x002A;</td>
<td align="center" valign="bottom">-</td>
<td/>
<td/>
</tr>
<tr>
<td align="left" valign="top">Anxiety</td>
<td align="center" valign="middle">6.40</td>
<td align="center" valign="middle">3.38</td>
<td align="center" valign="bottom">&#x2212;0.146&#x002A;&#x002A;</td>
<td align="center" valign="bottom">&#x2212;0.130&#x002A;</td>
<td align="center" valign="bottom">0.660&#x002A;&#x002A;</td>
<td align="center" valign="bottom">-</td>
<td/>
</tr>
<tr>
<td align="left" valign="top">Stress</td>
<td align="center" valign="middle">7.94</td>
<td align="center" valign="middle">3.79</td>
<td align="center" valign="bottom">&#x2212;0.135&#x002A;</td>
<td align="center" valign="bottom">&#x2212;0.152&#x002A;&#x002A;</td>
<td align="center" valign="bottom">0.623&#x002A;&#x002A;</td>
<td align="center" valign="bottom">0.682&#x002A;&#x002A;</td>
<td align="center" valign="bottom">-</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>&#x002A;&#x002A;Correlation is significant at the 0.01 level (2-tailed).</p>
<p>&#x002A;Correlation is significant at the 0.05 level (2-tailed).</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab4">Table 4</xref> shows rural mothers showed significantly better lifestyles compared to their urban counterparts. They engaged in more physical activity (<italic>M</italic> =&#x202F;23.46 vs. 21.79, <italic>p</italic>&#x202F;=&#x202F;0.001) and followed a healthier diet (<italic>M</italic> =&#x202F;16.01 vs. 14.85, <italic>p</italic> =&#x202F;0.001). These differences were statistically significant, indicating better lifestyle habits in rural areas. However, urban mothers reported significantly worse mental health outcomes. They experienced much higher levels of depression (<italic>M</italic> =&#x202F;6.59 vs. 1.63, <italic>p</italic>&#x202F;=&#x202F;0.000), anxiety (<italic>M</italic> =&#x202F;7.68 vs. 2.18, <italic>p</italic> =&#x202F;0.000), and stress (<italic>M</italic> =&#x202F;9.65 vs. 2.32, <italic>p</italic> =&#x202F;0.000) compared to rural mothers, with all differences being highly significant.</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Mean difference along area on lifestyles (physical activity, diet), and mental health (depression, anxiety and stress) among rural and urban mothers (<italic>n</italic>&#x202F;=&#x202F;500).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Variable</th>
<th align="center" valign="top" colspan="2">Rural (250)</th>
<th align="center" valign="top" colspan="2">Urban (250)</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="top">M</th>
<th align="center" valign="top">SD</th>
<th align="center" valign="top">M</th>
<th align="center" valign="top">SD</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Lifestyles</td>
<td align="left" valign="top">Physical activity</td>
<td align="center" valign="top">23.46</td>
<td align="center" valign="top">4.46</td>
<td align="center" valign="top">21.79</td>
<td align="center" valign="top">5.19</td>
<td align="center" valign="top">3.86</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top">Diet</td>
<td align="center" valign="top">16.01</td>
<td align="center" valign="top">3.05</td>
<td align="center" valign="top">14.85</td>
<td align="center" valign="top">3.54</td>
<td align="center" valign="top">3.92</td>
<td align="center" valign="top">0.001</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Mental health</td>
<td align="left" valign="top">Depression</td>
<td align="center" valign="top">1.63</td>
<td align="center" valign="top">0.81</td>
<td align="center" valign="top">6.59</td>
<td align="center" valign="top">3.65</td>
<td align="center" valign="top">&#x2212;11.76</td>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Anxiety</td>
<td align="center" valign="top">2.18</td>
<td align="center" valign="top">0.89</td>
<td align="center" valign="top">7.68</td>
<td align="center" valign="top">2.76</td>
<td align="center" valign="top">&#x2212;17.10</td>
<td align="center" valign="top">0.000</td>
</tr>
<tr>
<td align="left" valign="top">Stress</td>
<td align="center" valign="top">2.32</td>
<td align="center" valign="top">0.96</td>
<td align="center" valign="top">9.65</td>
<td align="center" valign="top">2.43</td>
<td align="center" valign="top">&#x2212;25.66</td>
<td align="center" valign="top">0.000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
<p><xref ref-type="table" rid="tab5">Table 5</xref> shows that mothers who married before 18 showed no significant differences in lifestyles like physical activity (<italic>M</italic> =&#x202F;22.84 vs. 22.42, <italic>p</italic>&#x202F;=&#x202F;0.72) and diet (<italic>M</italic> =&#x202F;15.67 vs. 15.2, <italic>p</italic>&#x202F;=&#x202F;0.25) and depression (<italic>M</italic> =&#x202F;6.08 vs. 4.32, <italic>p</italic>&#x202F;=&#x202F;0.13) compared to those who married later. However, significant differences were found in mental health, with those who married early reporting higher levels of anxiety (<italic>M</italic> =&#x202F;7.14 vs. 5.12, <italic>p</italic>&#x202F;=&#x202F;0.00) and stress (<italic>M</italic> =&#x202F;8.87 vs. 6.32, <italic>p</italic> =&#x202F;0.00).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>Mean Difference along marriage before 18 on lifestyles (physical activity, diet), and mental health (depression, anxiety and stress) among rural and urban mothers (<italic>n</italic>&#x202F;=&#x202F;500).</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top" colspan="2" rowspan="2">Variable</th>
<th align="center" valign="top" colspan="2">Yes (249)</th>
<th align="center" valign="top" colspan="2">No (251)</th>
<th align="center" valign="top" rowspan="2"><italic>t</italic></th>
<th align="center" valign="top" rowspan="2"><italic>p</italic></th>
</tr>
<tr>
<th align="center" valign="top"><italic>M</italic></th>
<th align="center" valign="top"><italic>SD</italic></th>
<th align="center" valign="top"><italic>M</italic></th>
<th align="center" valign="top"><italic>SD</italic></th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="top" rowspan="2">Lifestyles</td>
<td align="left" valign="top">Physical activity</td>
<td align="center" valign="top">22.84</td>
<td align="center" valign="top">4.854</td>
<td align="center" valign="top">22.42</td>
<td align="center" valign="top">4.961</td>
<td align="center" valign="top">0.96</td>
<td align="center" valign="top">0.72</td>
</tr>
<tr>
<td align="left" valign="top">Diet</td>
<td align="center" valign="top">15.67</td>
<td align="center" valign="top">3.286</td>
<td align="center" valign="top">15.2</td>
<td align="center" valign="top">3.397</td>
<td align="center" valign="top">1.58</td>
<td align="center" valign="top">0.25</td>
</tr>
<tr>
<td align="left" valign="top" rowspan="3">Mental health</td>
<td align="left" valign="top">Depression</td>
<td align="center" valign="top">4.32</td>
<td align="center" valign="top">3.577</td>
<td align="center" valign="top">6.08</td>
<td align="center" valign="top">3.847</td>
<td align="center" valign="top">&#x2212;4.07</td>
<td align="center" valign="top">0.13</td>
</tr>
<tr>
<td align="left" valign="top">Anxiety</td>
<td align="center" valign="top">5.12</td>
<td align="center" valign="top">3.554</td>
<td align="center" valign="top">7.14</td>
<td align="center" valign="top">3.047</td>
<td align="center" valign="top">&#x2212;5.41</td>
<td align="center" valign="top">0.00</td>
</tr>
<tr>
<td align="left" valign="top">Stress</td>
<td align="center" valign="top">6.32</td>
<td align="center" valign="top">4.235</td>
<td align="center" valign="top">8.87</td>
<td align="center" valign="top">3.168</td>
<td align="center" valign="top">&#x2212;6.17</td>
<td align="center" valign="top">0.00</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>M, mean; SD, standard deviation.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec sec-type="discussion" id="sec16">
<title>Discussion</title>
<p>In this study, the social determinants of infant mortality among rural and urban mothers were analyzed, focusing on factors such as physical activity, diet, and mental health. The result of the present study indicates that higher infant mortality tends to be correlated to rural residence and early marriage.</p>
<p>The descriptive data shown in <xref ref-type="table" rid="tab1">Table 1</xref> on neonatal and post-neonatal mortality is supported by recent studies emphasizing the importance of socioeconomic status, healthcare access, and delivery conditions. For instance, Izulla et al. (<xref ref-type="bibr" rid="ref47">47</xref>) highlight that skilled birth attendance and facility delivery are critical in reducing neonatal mortality, aligning with the higher mortality rates observed for home births in the data. Similarly, Kibret (<xref ref-type="bibr" rid="ref48">48</xref>) points out how socioeconomic disparities in healthcare access contribute to higher neonatal mortality. Additionally, Chauhan and Verma (<xref ref-type="bibr" rid="ref49">49</xref>) confirm that skilled delivery significantly reduces neonatal and post-neonatal mortality in India. Ogbo et al. (<xref ref-type="bibr" rid="ref50">50</xref>) also demonstrate that factors like maternal education and place of residence affect neonatal survival, with facility-based deliveries yielding better outcomes. Furthermore, Temporin (<xref ref-type="bibr" rid="ref51">51</xref>) highlights how socioeconomic factors in Bolivia, including access to skilled birth attendants, contribute to better neonatal survival. These studies strengthen the findings from the descriptive data, indicating that socioeconomic inequalities and access to healthcare significantly impact neonatal and post-neonatal outcomes.</p>
<p>Our results revealed that Areas with rural populations showed significantly higher rates of infant mortality compared to urban areas (&#x03C7;<sup>2</sup> =&#x202F;51.99, <italic>p</italic> =&#x202F;0.000), supported by both international and Pakistani literature. Numerous studies support our findings presenting various reasons, i.e., limited access to maternal healthcare, poor infrastructure and lower literacy in rural areas. For example, limited access to skilled birth attendants in rural Ethiopia (<xref ref-type="bibr" rid="ref52">52</xref>), studies in the United States (<xref ref-type="bibr" rid="ref53">53</xref>, <xref ref-type="bibr" rid="ref54">54</xref>), and China (<xref ref-type="bibr" rid="ref55">55</xref>, <xref ref-type="bibr" rid="ref56">56</xref>) consistently found that rural regions suffer from higher infant mortality due to socioeconomic disadvantages, inadequate healthcare access, and systemic inequities. These trends are echoed by Singh et al. (<xref ref-type="bibr" rid="ref57">57</xref>), who highlighted growing disparities between Appalachia and more urban U.S. regions, and by Dagher and Linares (<xref ref-type="bibr" rid="ref3">3</xref>), who stressed the impact of social determinants of health. However, evidence also indicates that targeted reforms can mitigate these disparities: Aidoo (<xref ref-type="bibr" rid="ref58">58</xref>) reported reductions in mortality through community-based rural health interventions, while well-designed regional policies can significantly narrow the rural&#x2013;urban mortality gap (<xref ref-type="bibr" rid="ref59">59</xref>).</p>
<p>Additionally, adolescents who get married early have been found to have higher infant mortality rates due to teen pregnancy, less access to healthcare, and fewer opportunities for education due to being young mothers (<xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>). On the other hand, some studies have not demonstrated a connection between infant mortality ratios and delivery related risk factors or socio-economic status and suggest that other factors, such as age of mother and georeferential location might outweigh those (<xref ref-type="bibr" rid="ref62 ref63 ref64">62&#x2013;64</xref>). In the rural areas, mothers or women who will bear children have more unfavorable systems for healthcare such as, low income, education, and very less availability of health services to make is easier to the women to bear children so; these conditions lead to infant mortality because these women are not able to handle their pregnancy or the issues relating to pregnancy properly. These issues are now reflected as the studies on rural urban difference map these issues and have proved the existence of these issues (<xref ref-type="bibr" rid="ref59">59</xref>, <xref ref-type="bibr" rid="ref65">65</xref>).</p>
<p>Among rural and urban mothers, our findings showed notable negative relationships between physical activity and diet with mental health indicators (depression, anxiety, and stress). Studies supporting this one have found that physical activity lowers anxiety and stress; one study found that regular exercise helps to lower postpartum depression (<xref ref-type="bibr" rid="ref66">66</xref>, <xref ref-type="bibr" rid="ref67">67</xref>). Studies have also shown that a balanced diet helps to alleviate depressive and anxious symptoms in mothers (<xref ref-type="bibr" rid="ref68">68</xref>, <xref ref-type="bibr" rid="ref69">69</xref>). Some studies, meanwhile, question these links and argue that other variables such as healthcare and socioeconomic level might be more important predictors of mental health results than physical activity or diet alone (<xref ref-type="bibr" rid="ref70">70</xref>, <xref ref-type="bibr" rid="ref71">71</xref>). Regular exercise and good nutrition&#x2019;s physiological and psychological advantages explain these correlations; they lower inflammation and enhance hormonal balance, both of which have been connected to improved mental health (<xref ref-type="bibr" rid="ref70">70</xref>, <xref ref-type="bibr" rid="ref72">72</xref>).</p>
<p>Moreover, our findings underlined the different physical activity, dietary and mental health markers (i.e., depression, anxiety, and stress) between rural and urban mothers, with rural mothers indicating more physical activity and better diets, and lower levels of mental health distress. Previous supporting studies have found that rural mothers demonstrate healthier lifestyle behavior, such as nutrition and physical activity (both of which could related to increased community involvement and less artificial nature) (<xref ref-type="bibr" rid="ref73">73</xref>, <xref ref-type="bibr" rid="ref74">74</xref>). While urban areas are often perceived as having a wider variety of health promoting resources such as gyms, and dietary diversity, as is revealed by contradictory research (<xref ref-type="bibr" rid="ref75">75</xref>, <xref ref-type="bibr" rid="ref76">76</xref>), they may also actually provide a better place for mothers to engage in physical activity and nutrition despite having reported mental health issues. In explaining rural urban disparities on mental health, Singh et al. (<xref ref-type="bibr" rid="ref76">76</xref>) attributed it to the different environmental stressors, urban mothers having greater socioeconomic stress and less access to green spaces, in comparison to rural mothers who experience other challenges of limited healthcare but report high amount of community support and less stress from urban conditions in living (<xref ref-type="bibr" rid="ref77">77</xref>).</p>
</sec>
<sec sec-type="conclusions" id="sec17">
<title>Conclusion</title>
<p>The results showed notable links between demographic variables and newborn death; rural areas and early marriage before 18 indicated higher infant death rates. Mental health indicators including sadness, anxiety, and stress were negatively correlated with lifestyle choices including physical activity and diet. Rural mothers had better lifestyle decisions and far less mental health problems than urban mothers as well. Though it did not affect lifestyle decisions, early marriage was linked to poorer mental health results, especially anxiety and stress. Moreover, healthcare access emerged as a significant factor, with limited healthcare resources in rural areas contributing to higher infant mortality rates. This underscores the need for better healthcare access, especially in underserved areas, as a means to improve maternal and child health outcomes.</p>
<sec id="sec18">
<title>Limitations and future recommendations</title>
<p>Among the shortcomings of the study are its cross-sectional design due to its reliance on self-reported data, which could skew results. The sample was also restricted to Khyber Pakhtunkhwa mothers, so the results might not be applicable to other areas. Future studies should use objective lifestyle and mental health measurements to lower bias, include a more varied sample from several areas of Pakistan, and examine longitudinal designs to prove causality. Additional research could look at how other social factors including education and employment affect maternal and child health results.</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec19">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="sec20">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Beijing Normal University ethical committee and the ethical committee number is 202003310034. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="sec21">
<title>Author contributions</title>
<p>SS: Writing &#x2013; original draft, Visualization, Resources, Software, Validation, Methodology, Conceptualization. ZZ: Resources, Data curation, Writing &#x2013; review &#x0026; editing, Investigation. MJ: Data curation, Investigation, Validation, Writing &#x2013; review &#x0026; editing. FA: Resources, Data curation, Writing &#x2013; review &#x0026; editing, Investigation, Funding acquisition. WZ: Investigation, Validation, Data curation, Writing &#x2013; review &#x0026; editing. XL: Conceptualization, Supervision, Funding acquisition, Project administration, Resources, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="funding-information" id="sec22">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research and/or publication of this article. The study was funded by the National Major Educational Research project of National Science Planning (VBA230010); and the Cultivation Program for Leading Talents of Beijing Normal University (1233200016): The authors extend their appreciation to the Deanship of Scientific Research and Libraries in Princess Nourah bint Abdulrahman University for funding this research work through the program for supporting publication in Top-impact journals, Grant No. SPTIF-2025-2.</p>
</sec>
<ack>
<p>We appreciate the parents, and researchers who participated in our study and people who assisted in the data collection.</p>
</ack>
<sec sec-type="COI-statement" id="sec23">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec24">
<title>Generative AI statement</title>
<p>The authors declare that no Gen AI was used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec25">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
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