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      <comment>Department of Clinical Care, Ghana Health Service, Regional Health Directorate, Ahafo, Hwidiem, Ghana            
            Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana            
            Nutrition Unit, Department of Child Health, Komfo Anokye Teaching Hospital, Kumasi, Ghana            
            Chandigarh Capital Region, Chandigarh, India            
            Department of Research and Innovation, Caribbean and African Health Network (CAHN), Manchester, United Kingdom            
            Department of Theoretical and Applied Biology, College of Science, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana            
            Export Date: 11 August 2025; Cited By: 0; Correspondence Address: M. Ntim; Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Osei Tutu Blvd, Kumasi, Ghana; email: ntim.michael@knust.edu.gh</comment>
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      <title>Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis</title>
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      <abstractText>Background: Postpartum depression is a significant public health challenge. Understanding the predictors of postpartum depression can inform targeted interventions and support systems for new mothers. Objectives: To identify and quantify sociodemographic and obstetric predictors of postpartum depression among mothers in Kumasi, Ghana. Design: A cross-sectional multicenter prospective study. Methods: A total of 502 postpartum mothers from five hospitals were included. Bayesian logistic regression analysis was used to assess model uncertainty and complex interactions between sociodemographic, economic, and obstetric factors on postpartum depression. Results: The pooled prevalence of postpartum depression was 25% (range 13% to 31%). Education attainment [coefficient = −0.43, 95% credible interval: −0.57 to −0.29, (adjusted odds ratio (aOR) = 0.65] and economic support from multiple earning members (coefficient = −0.28, 95% credible interval: −0.33 to −0.22, aOR = 0.75) substantially reduced the likelihood of postpartum depression. Being a single mother (coefficient = 0.34, 95% credible interval: 0.24 to 0.44, aOR = 1.40) increased the risk of postpartum depression. Planned pregnancies (coefficient = −0.25, 95% credible interval: −0.28 to −0.21, aOR = 0.78), doing physical exercise (coefficient = −0.26, 95% credible interval: −0.30 to −0.23, aOR = 0.77), and exclusive breastfeeding (coefficient = −0.23, 95% credible interval: −0.28 to −0.19, aOR = 0.79) were protective factors for postpartum depression. On the other hand, cesarean sections (coefficient = 0.34, 95% credible interval: 0.24 to 0.43, aOR = 1.40) and spontaneous vaginal deliveries (coefficient = 0.56, 95% credible interval: 0.47 to 0.65, aOR = 1.75) increased the risk of postpartum depression. Conclusion: Our findings emphasize the importance of identifying modifiable predictors of postpartum depression, including sociodemographic, economic, and obstetrical factors, in Kumasi, Ghana. Interventions addressing these factors, such as financial support programs, maternal education, and physician training, may significantly reduce the regional burden. Policies tailored to low-resource contexts and exhibiting local cultural sensitivity are needed for enhancing maternal–child health outcomes in Ghana and comparable regions. © The Author(s) 2025.</abstractText>
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      <label>Bening J.E. et al. Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis. (2025) WOMEN'S HEALTH (LONDON) 1745-5057 1745-5065 21</label><template>&lt;div class=&quot;JournalArticle Publication short-list&quot;&gt; &lt;div class=&quot;authors&quot;&gt; &lt;span class=&quot;author-name&quot; &gt; Bening, J.E. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Darko, F. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Anterkyi, R. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Narh, V.K. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Prempeh, N.Y.A. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Jain, N. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Kwansa, A.L. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Kontor, E.K. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; ; &lt;span class=&quot;author-name&quot; &gt; Ntim, M. &lt;/span&gt; &lt;span class=&quot;author-type&quot;&gt; &lt;/span&gt; &lt;/div &gt;&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;36285576&quot; mtid=&quot;36285576&quot; target=&quot;_blank&quot;&gt;Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis&lt;/a&gt;&lt;/div&gt; &lt;div class=&quot;pub-info&quot;&gt; &lt;span class=&quot;journal-title&quot;&gt;WOMEN&apos;S HEALTH (LONDON)&lt;/span&gt; &lt;span class=&quot;journal-volume&quot;&gt;21&lt;/span&gt; &lt;span class=&quot;page&quot;&gt; Paper: 17455057251343953 &lt;/span&gt; &lt;span class=&quot;year&quot;&gt;(2025)&lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;pub-end&quot;&gt;&lt;div class=&quot;identifier-list&quot;&gt; &lt;span class=&quot;identifiers&quot;&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;10.1177/17455057251343953&quot; target=&quot;_blank&quot; href=&quot;https://doi.org/10.1177/17455057251343953&quot;&gt; DOI &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;001503355400001&quot; target=&quot;_blank&quot; href=&quot;https://www.webofscience.com/wos/woscc/full-record/001503355400001&quot;&gt; WoS &lt;/a&gt; &lt;/span&gt; &lt;span class=&quot;id identifier oa_none&quot; title=&quot;none&quot;&gt; &lt;a style=&quot;color:black&quot; title=&quot;105007607862&quot; target=&quot;_blank&quot; href=&quot;http://www.scopus.com/record/display.url?origin=inward&amp;eid=2-s2.0-105007607862&quot;&gt; Scopus &lt;/a&gt; &lt;/span&gt; &lt;/span&gt; &lt;/div&gt; &lt;div class=&quot;short-pub-prop-list&quot;&gt; &lt;span class=&quot;short-pub-mtid&quot;&gt; Publication:36285576 &lt;/span&gt; &lt;span class=&quot;status-holder&quot;&gt;&lt;span class=&quot;status-data status-APPROVED&quot;&gt; Published &lt;/span&gt;&lt;/span&gt; &lt;span class=&quot;pub-core&quot;&gt; Citing &lt;/span&gt; &lt;span class=&quot;pub-type&quot;&gt;Journal Article (Article ) &lt;/span&gt; &lt;!-- &amp;&amp; !record.category.scientific --&gt; &lt;span class=&quot;pub-category&quot;&gt;Scientific&lt;/span&gt; &lt;/div&gt; &lt;/div&gt; &lt;/div&gt;</template><template2>&lt;div class=&quot;JournalArticle Publication long-list&quot;&gt;
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		&lt;div class=&quot;autype autype0&quot;&gt;				&lt;span class=&quot;author-name&quot; &gt;Bening J.E.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Darko F.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Anterkyi R.
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Narh V.K.
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Prempeh N.Y.A.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Jain N.
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;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Kwansa A.L.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Kontor E.K.
    &lt;/span&gt;
;&amp;nbsp;&amp;nbsp;&amp;nbsp;
							&lt;span class=&quot;author-name&quot; &gt;Ntim M.
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				    &lt;/div&gt;
&lt;/div&gt;
&lt;div class=&quot;title&quot;&gt;&lt;a href=&quot;/gui2/?mode=browse&amp;params=publication;36285576&quot; target=&quot;_blank&quot;&gt;Predictors of postpartum depression among new mothers in Kumasi, Ghana: A multicenter study using Bayesian analysis&lt;/a&gt;&lt;/div&gt;    &lt;div&gt;		&lt;span class=&quot;journal-title&quot;&gt;WOMEN&apos;S HEALTH (LONDON)&lt;/span&gt;

        &lt;span class=&quot;journal-issn&quot;&gt;(&lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/1745-5057&quot;&gt;1745-5057&lt;/a&gt; &lt;a target=&quot;_blank&quot; href=&quot;https://portal.issn.org/resource/ISSN/1745-5065&quot;&gt;1745-5065&lt;/a&gt;)&lt;/span&gt;:
		&lt;span class=&quot;journal-volume&quot;&gt;21&lt;/span&gt; 
&lt;span class=&quot;page&quot;&gt;
		Paper 17455057251343953.
	
&lt;/span&gt;		 &lt;span class=&quot;year&quot;&gt;(2025)&lt;/span&gt;  
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			English
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									DOI
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    &lt;div class=&quot;mtid&quot;&gt;&lt;span class=&quot;long-pub-mtid&quot;&gt;Publication: 36285576&lt;/span&gt;
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&lt;div class=&quot;lastModified&quot;&gt;Last Modified: 2025.08.11. 20:45 Anikó Vigyikánné Váradi (SZTE admin5 ÁOK OrvMikrob)
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	&lt;pre class=&quot;comment&quot; style=&quot;margin-top: 0; margin-bottom: 0;&quot;&gt;&lt;u&gt;Comments&lt;/u&gt;: Department of Clinical Care, Ghana Health Service, Regional Health Directorate, Ahafo, Hwidiem, Ghana            
            Department of Physiology, School of Medical Sciences, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana            
            Nutrition Unit, Department of Child Health, Komfo Anokye Teaching Hospital, Kumasi, Ghana            
            Chandigarh Ca...&lt;/pre&gt;
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