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        <datestamp>2026-09-25T17:29:23Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>&lt;p&gt;Quantitative data.&lt;/p&gt;</dc:title>
          <dc:creator>Abdulsalam Ahmed (16448579)</dc:creator>
          <dc:creator>Hafiz T. A. Khan (4268578)</dc:creator>
          <dc:creator>Nestor Asiamah (13132955)</dc:creator>
          <dc:subject>Medicine</dc:subject>
          <dc:subject>Cell Biology</dc:subject>
          <dc:subject>Pharmacology</dc:subject>
          <dc:subject>Biotechnology</dc:subject>
          <dc:subject>Biological Sciences not elsewhere classified</dc:subject>
          <dc:subject>Developmental Biology</dc:subject>
          <dc:subject>Cancer</dc:subject>
          <dc:subject>Science Policy</dc:subject>
          <dc:subject>Infectious Diseases</dc:subject>
          <dc:subject>Virology</dc:subject>
          <dc:subject>significantly higher odds</dc:subject>
          <dc:subject>reporting &amp;# 8805</dc:subject>
          <dc:subject>epidemiological transitions characterized</dc:subject>
          <dc:subject>dichotomized (&amp;# 8805</dc:subject>
          <dc:subject>adverse childhood experiences</dc:subject>
          <dc:subject>across 13 domains</dc:subject>
          <dc:subject>33 &amp;# 8211</dc:subject>
          <dc:subject>25 &amp;# 8211</dc:subject>
          <dc:subject>undergoing rapid demographic</dc:subject>
          <dc:subject>public health policy</dc:subject>
          <dc:subject>determine independent predictors</dc:subject>
          <dc:subject>also independently associated</dc:subject>
          <dc:subject>3 conditions ).</dc:subject>
          <dc:subject>nigeria &lt;/ p</dc:subject>
          <dc:subject>strongly associated</dc:subject>
          <dc:subject>independent predictor</dc:subject>
          <dc:subject>demographic covariates</dc:subject>
          <dc:subject>adult health</dc:subject>
          <dc:subject>chronic conditions</dc:subject>
          <dc:subject>24 conditions</dc:subject>
          <dc:subject>ncds ).</dc:subject>
          <dc:subject>21 ).</dc:subject>
          <dc:subject>04 ).</dc:subject>
          <dc:subject>001 ).</dc:subject>
          <dc:subject>xlink "&gt;</dc:subject>
          <dc:subject>unadjusted analysis</dc:subject>
          <dc:subject>term burden</dc:subject>
          <dc:subject>sectional study</dc:subject>
          <dc:subject>rising burden</dc:subject>
          <dc:subject>response relationship</dc:subject>
          <dc:subject>population ageing</dc:subject>
          <dc:subject>older adults</dc:subject>
          <dc:subject>niger state</dc:subject>
          <dc:subject>nice criteria</dc:subject>
          <dc:subject>informed strategies</dc:subject>
          <dc:subject>generation households</dc:subject>
          <dc:subject>findings underscore</dc:subject>
          <dc:subject>early identification</dc:subject>
          <dc:subject>course determinants</dc:subject>
          <dc:subject>course approaches</dc:subject>
          <dc:subject>confidence intervals</dc:subject>
          <dc:subject>communicable diseases</dc:subject>
          <dc:subject>assessed using</dc:subject>
          <dc:subject>age 18</dc:subject>
          <dc:subject>80 years</dc:subject>
          <dc:subject>60 years</dc:subject>
          <dc:description>&lt;div&gt;
&lt;p&gt;Background&lt;/p&gt;&lt;p&gt;Adverse Childhood Experiences (ACEs) are established life-course determinants of adult health, yet evidence linking ACEs to multimorbidity in sub-Saharan Africa remains limited. Nigeria is undergoing rapid demographic and epidemiological transitions characterized by population ageing and a rising burden of non-communicable diseases (NCDs). This study examined whether cumulative ACE exposure predicts multimorbidity among older adults in North-Central Nigeria.&lt;/p&gt;
&lt;p&gt;Methods&lt;/p&gt;&lt;p&gt;A cross-sectional study was conducted among 734 adults aged ≥60 years in Niger State, Nigeria. ACE exposure before age 18 was assessed using the Adverse Childhood Experiences International Questionnaire (ACE-IQ) across 13 domains. Multimorbidity was defined as the presence of two or more chronic conditions (NICE criteria) from a list of 24 conditions and analyzed both as a count and dichotomized (≥3 vs. &lt; 3 conditions). Descriptive statistics summarized participant characteristics. Chi-square tests examined bivariate associations. Hierarchical logistic regression models estimated adjusted odds ratios (ORs) and 95% confidence intervals (CIs) to determine independent predictors of multimorbidity.&lt;/p&gt;
&lt;p&gt;Results&lt;/p&gt;&lt;p&gt;High cumulative ACE exposure was observed, with 68.4% reporting ≥4 ACEs. Multimorbidity was common: 38.4% reported three or more chronic conditions. ACE exposure was strongly associated with multimorbidity (χ² = 116.07, p &lt; 0.001). In unadjusted analysis, participants reporting ≥4 ACEs had significantly higher odds of multimorbidity (OR = 67.14; 95% CI: 9.25–487.04). After adjusting for socio-demographic covariates, cumulative ACE exposure remained an independent predictor (OR = 15.58; 95% CI: 1.33–182.21). Advanced age (≥80 years) and living in three-generation households were also independently associated with multimorbidity.&lt;/p&gt;
&lt;p&gt;Conclusions&lt;/p&gt;&lt;p&gt;Cumulative childhood adversity significantly predicts multimorbidity among older Nigerian adults, demonstrating a clear dose–response relationship. These findings underscore the importance of life-course approaches and trauma-informed strategies in public health policy. Early identification and prevention of childhood adversity may contribute to reducing the long-term burden of multimorbidity in low- and middle-income settings.&lt;/p&gt;&lt;/div&gt;</dc:description>
          <dc:date>2026-09-25T17:29:21Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.1371/journal.pone.0358944.s001</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/_p_Quantitative_data_p_/33998333</dc:relation>
          <dc:rights>CC BY 4.0</dc:rights>
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