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Spatial distribution and determinants of physical intimate partner violence among women in Kenya: Evidence from the 2022 Kenya Demographic and Health Survey
Despite global, regional, and national efforts to address intimate partner violence (IPV), physical IPV persists as a significant challenge in Kenya. This study employs geospatial analysis to examine the spatial distribution and determinants of physical intimate partner violence among women, aiming...
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Published in: | PloS one 2024-08, Vol.19 (8), p.e0309173 |
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description | Despite global, regional, and national efforts to address intimate partner violence (IPV), physical IPV persists as a significant challenge in Kenya. This study employs geospatial analysis to examine the spatial distribution and determinants of physical intimate partner violence among women, aiming to inform targeted interventions and policies.
The study used a secondary analysis of a cross-sectional study design based on the 2022 Kenya demographic and health survey. Analyses were conducted using Stata version 17.0 and ArcMap version 10.8. Spatial autocorrelation and hotspot assessment were conducted in the geospatial analysis, while a multilevel logistic regression model was used to examine determinants of physical violence among reproductive-aged women.
The study found 28.8% (10,477) of the surveyed women reported experiencing physical intimate partner violence. The spatial analysis identified significant clusters in the southwest and central regions, with women in sub-counties like Chepaluugu, Konion, Sotik, Bumula, and Metayos among others experiencing more violence. Conversely, women in areas in the North East and South East corners such as Kisauni, Tarabaj, Waijir North, Lafey, and Mandera North and South among others showed little or no physical intimate partner violence. Multivariable logistic regression identified age, education, wealth index, partner domineering indicators, and justification of wife beating to be associated with physical intimate partner violence. Higher education and wealth were associated with lower violence odds, while partner domineering indicators and justification of wife beating increased odds.
Spatial variations in intimate partner violence risk for women in Kenya underscore the need for targeted government interventions. Focusing on hotspot regions, especially among women with the poorest wealth index, no formal education, and older age, is crucial. Implementing behavior change campaigns addressing violence justification and partner dominance is vital. Active involvement of male partners in programs aiming to eliminate intimate partner violence is essential for comprehensive impact. |
doi_str_mv | 10.1371/journal.pone.0309173 |
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The study used a secondary analysis of a cross-sectional study design based on the 2022 Kenya demographic and health survey. Analyses were conducted using Stata version 17.0 and ArcMap version 10.8. Spatial autocorrelation and hotspot assessment were conducted in the geospatial analysis, while a multilevel logistic regression model was used to examine determinants of physical violence among reproductive-aged women.
The study found 28.8% (10,477) of the surveyed women reported experiencing physical intimate partner violence. The spatial analysis identified significant clusters in the southwest and central regions, with women in sub-counties like Chepaluugu, Konion, Sotik, Bumula, and Metayos among others experiencing more violence. Conversely, women in areas in the North East and South East corners such as Kisauni, Tarabaj, Waijir North, Lafey, and Mandera North and South among others showed little or no physical intimate partner violence. Multivariable logistic regression identified age, education, wealth index, partner domineering indicators, and justification of wife beating to be associated with physical intimate partner violence. Higher education and wealth were associated with lower violence odds, while partner domineering indicators and justification of wife beating increased odds.
Spatial variations in intimate partner violence risk for women in Kenya underscore the need for targeted government interventions. Focusing on hotspot regions, especially among women with the poorest wealth index, no formal education, and older age, is crucial. Implementing behavior change campaigns addressing violence justification and partner dominance is vital. 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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.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Okyere et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Okyere et al 2024 Okyere et al</rights><rights>2024 Okyere et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c572t-192910970de6f2799fbbba27e447a205e840a4c0e2568bb27b629a47d763e42a3</cites><orcidid>0000-0003-3292-9693</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3098716572/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3098716572?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27344,27924,27925,33774,37012,37013,38516,43895,44590,53791,53793,74412,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39208312$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Owusu, Adobea Yaa</contributor><creatorcontrib>Okyere, Joshua</creatorcontrib><creatorcontrib>Ayebeng, Castro</creatorcontrib><creatorcontrib>Boateng, Ebenezer N K</creatorcontrib><creatorcontrib>Assie, Rebecca A A</creatorcontrib><creatorcontrib>Odoi, Amanda</creatorcontrib><creatorcontrib>Dzirassah, King-David</creatorcontrib><creatorcontrib>Ankomahene, Bright</creatorcontrib><creatorcontrib>Dickson, Kwamena Sekyi</creatorcontrib><title>Spatial distribution and determinants of physical intimate partner violence among women in Kenya: Evidence from the 2022 Kenya Demographic and Health Survey</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Despite global, regional, and national efforts to address intimate partner violence (IPV), physical IPV persists as a significant challenge in Kenya. This study employs geospatial analysis to examine the spatial distribution and determinants of physical intimate partner violence among women, aiming to inform targeted interventions and policies.
The study used a secondary analysis of a cross-sectional study design based on the 2022 Kenya demographic and health survey. Analyses were conducted using Stata version 17.0 and ArcMap version 10.8. Spatial autocorrelation and hotspot assessment were conducted in the geospatial analysis, while a multilevel logistic regression model was used to examine determinants of physical violence among reproductive-aged women.
The study found 28.8% (10,477) of the surveyed women reported experiencing physical intimate partner violence. The spatial analysis identified significant clusters in the southwest and central regions, with women in sub-counties like Chepaluugu, Konion, Sotik, Bumula, and Metayos among others experiencing more violence. Conversely, women in areas in the North East and South East corners such as Kisauni, Tarabaj, Waijir North, Lafey, and Mandera North and South among others showed little or no physical intimate partner violence. Multivariable logistic regression identified age, education, wealth index, partner domineering indicators, and justification of wife beating to be associated with physical intimate partner violence. Higher education and wealth were associated with lower violence odds, while partner domineering indicators and justification of wife beating increased odds.
Spatial variations in intimate partner violence risk for women in Kenya underscore the need for targeted government interventions. Focusing on hotspot regions, especially among women with the poorest wealth index, no formal education, and older age, is crucial. Implementing behavior change campaigns addressing violence justification and partner dominance is vital. Active involvement of male partners in programs aiming to eliminate intimate partner violence is essential for comprehensive impact.</description><subject>Abused women</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Age</subject><subject>Aggression</subject><subject>Analysis</subject><subject>Behavior modification</subject><subject>Biology and Life Sciences</subject><subject>Cluster analysis</subject><subject>Computer and Information Sciences</subject><subject>Counties</subject><subject>Cross-Sectional Studies</subject><subject>Datasets</subject><subject>Demographics</subject><subject>Demography</subject><subject>Domestic violence</subject><subject>Earth Sciences</subject><subject>Education</subject><subject>Family violence</subject><subject>Female</subject><subject>Gender-based violence</subject><subject>Geospatial data</subject><subject>Health aspects</subject><subject>Health Surveys</subject><subject>Higher education</subject><subject>Households</subject><subject>Humans</subject><subject>Hypotheses</subject><subject>Indexes</subject><subject>Indicators</subject><subject>Intervention</subject><subject>Intimate partner violence</subject><subject>Intimate Partner Violence - statistics & numerical data</subject><subject>Kenya - epidemiology</subject><subject>Logistic Models</subject><subject>Low income groups</subject><subject>Male</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>North and South</subject><subject>People and Places</subject><subject>Physical education</subject><subject>Prevention</subject><subject>Psychological aspects</subject><subject>Public health</subject><subject>Regions</subject><subject>Regression models</subject><subject>Research and Analysis Methods</subject><subject>Research hot spots</subject><subject>Risk Factors</subject><subject>Secondary analysis</subject><subject>Social aspects</subject><subject>Social Sciences</subject><subject>Socioeconomic Factors</subject><subject>Spatial Analysis</subject><subject>Spatial distribution</subject><subject>Spatial variations</subject><subject>Statistics</subject><subject>Surveys</subject><subject>Variables</subject><subject>Violence</subject><subject>Women</subject><subject>Young 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Joshua</au><au>Ayebeng, Castro</au><au>Boateng, Ebenezer N K</au><au>Assie, Rebecca A A</au><au>Odoi, Amanda</au><au>Dzirassah, King-David</au><au>Ankomahene, Bright</au><au>Dickson, Kwamena Sekyi</au><au>Owusu, Adobea Yaa</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial distribution and determinants of physical intimate partner violence among women in Kenya: Evidence from the 2022 Kenya Demographic and Health Survey</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-08-29</date><risdate>2024</risdate><volume>19</volume><issue>8</issue><spage>e0309173</spage><pages>e0309173-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Despite global, regional, and national efforts to address intimate partner violence (IPV), physical IPV persists as a significant challenge in Kenya. This study employs geospatial analysis to examine the spatial distribution and determinants of physical intimate partner violence among women, aiming to inform targeted interventions and policies.
The study used a secondary analysis of a cross-sectional study design based on the 2022 Kenya demographic and health survey. Analyses were conducted using Stata version 17.0 and ArcMap version 10.8. Spatial autocorrelation and hotspot assessment were conducted in the geospatial analysis, while a multilevel logistic regression model was used to examine determinants of physical violence among reproductive-aged women.
The study found 28.8% (10,477) of the surveyed women reported experiencing physical intimate partner violence. The spatial analysis identified significant clusters in the southwest and central regions, with women in sub-counties like Chepaluugu, Konion, Sotik, Bumula, and Metayos among others experiencing more violence. Conversely, women in areas in the North East and South East corners such as Kisauni, Tarabaj, Waijir North, Lafey, and Mandera North and South among others showed little or no physical intimate partner violence. Multivariable logistic regression identified age, education, wealth index, partner domineering indicators, and justification of wife beating to be associated with physical intimate partner violence. Higher education and wealth were associated with lower violence odds, while partner domineering indicators and justification of wife beating increased odds.
Spatial variations in intimate partner violence risk for women in Kenya underscore the need for targeted government interventions. Focusing on hotspot regions, especially among women with the poorest wealth index, no formal education, and older age, is crucial. Implementing behavior change campaigns addressing violence justification and partner dominance is vital. Active involvement of male partners in programs aiming to eliminate intimate partner violence is essential for comprehensive impact.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39208312</pmid><doi>10.1371/journal.pone.0309173</doi><tpages>e0309173</tpages><orcidid>https://orcid.org/0000-0003-3292-9693</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-08, Vol.19 (8), p.e0309173 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3098716572 |
source | PubMed (Medline); Publicly Available Content Database (Proquest) (PQ_SDU_P3); Sociological Abstracts; Coronavirus Research Database |
subjects | Abused women Adolescent Adult Age Aggression Analysis Behavior modification Biology and Life Sciences Cluster analysis Computer and Information Sciences Counties Cross-Sectional Studies Datasets Demographics Demography Domestic violence Earth Sciences Education Family violence Female Gender-based violence Geospatial data Health aspects Health Surveys Higher education Households Humans Hypotheses Indexes Indicators Intervention Intimate partner violence Intimate Partner Violence - statistics & numerical data Kenya - epidemiology Logistic Models Low income groups Male Medicine and Health Sciences Middle Aged North and South People and Places Physical education Prevention Psychological aspects Public health Regions Regression models Research and Analysis Methods Research hot spots Risk Factors Secondary analysis Social aspects Social Sciences Socioeconomic Factors Spatial Analysis Spatial distribution Spatial variations Statistics Surveys Variables Violence Women Young Adult |
title | Spatial distribution and determinants of physical intimate partner violence among women in Kenya: Evidence from the 2022 Kenya Demographic and Health Survey |
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