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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
Main Authors: Okyere, Joshua, Ayebeng, Castro, Boateng, Ebenezer N K, Assie, Rebecca A A, Odoi, Amanda, Dzirassah, King-David, Ankomahene, Bright, Dickson, Kwamena Sekyi
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container_title PloS one
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creator Okyere, Joshua
Ayebeng, Castro
Boateng, Ebenezer N K
Assie, Rebecca A A
Odoi, Amanda
Dzirassah, King-David
Ankomahene, Bright
Dickson, Kwamena Sekyi
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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Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Okyere, 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>
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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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