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Which men change in intimate partner violence prevention interventions? A trajectory analysis in Rwanda and South Africa

IntroductionEmerging evidence suggests working with men to prevent intimate partner violence (IPV) perpetration can be effective. However, it is unknown whether all men benefit equally, or whether different groups of men respond differentially to interventions.MethodsWe conducted trajectory modellin...

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Published in:BMJ global health 2020-05, Vol.5 (5), p.e002199
Main Authors: Gibbs, Andrew, Dunkle, Kristin, Mhlongo, Shibe, Chirwa, Esnat, Hatcher, Abigail, Christofides, Nicola J, Jewkes, Rachel
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Dunkle, Kristin
Mhlongo, Shibe
Chirwa, Esnat
Hatcher, Abigail
Christofides, Nicola J
Jewkes, Rachel
description IntroductionEmerging evidence suggests working with men to prevent intimate partner violence (IPV) perpetration can be effective. However, it is unknown whether all men benefit equally, or whether different groups of men respond differentially to interventions.MethodsWe conducted trajectory modelling using longitudinal data from men enrolled in intervention arms of three IPV trials in South Africa and Rwanda to identify trajectories of IPV perpetration. We then use multinomial regression to describe baseline characteristics associated with group allocation.ResultsIn South Africa, the Stepping Stones and Creating Futures (SS-CF) trial had 289 men and the CHANGE trial had 803 men, and in Rwanda, Indashyikirwa had 821 men. We identified three trajectories of IPV perpetration: a low-flat (60%–67% of men), high with large reduction (19%–24%) and high with slight increase (10%–21%). Baseline factors associated men in high-start IPV trajectories, compared with low-flat trajectory, varied by study, but included higher poverty, poorer mental health, greater substance use, younger age and more childhood traumas. Attitudes supportive of IPV were consistently associated with high-start trajectories. In separate models comparing high-reducing to high-increasing trajectories, baseline factors associated with reduced IPV perpetration were depressive symptoms (relative risk ratio, RRR=3.06, p=0.01 SS-CF); living separately from their partner (RRR=2.14, p=0.01 CHANGE); recent employment (RRR=1.85, p=0.04 CHANGE) and lower acceptability of IPV (RRR=0.60, p=0.08 Indashyikirwa). Older aged men had a trend towards reducing IPV perpetration in CHANGE (p=0.06) and younger men in Indashyikirwa (p=0.07).ConclusionsThree distinct groups of men differed in their response to IPV prevention interventions. Baseline characteristics of past traumas and current poverty, mental health and gender beliefs predicted trajectory group allocation. The analysis may inform targeting of interventions towards those who have propensity to change or guide how contextual factors may alter intervention effects.Trial registration numbersNCT03022370; NCT02823288; NCT03477877.
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A trajectory analysis in Rwanda and South Africa</title><source>Open Access: PubMed Central</source><source>BMJ Journals (Open Access)</source><creator>Gibbs, Andrew ; Dunkle, Kristin ; Mhlongo, Shibe ; Chirwa, Esnat ; Hatcher, Abigail ; Christofides, Nicola J ; Jewkes, Rachel</creator><creatorcontrib>Gibbs, Andrew ; Dunkle, Kristin ; Mhlongo, Shibe ; Chirwa, Esnat ; Hatcher, Abigail ; Christofides, Nicola J ; Jewkes, Rachel</creatorcontrib><description>IntroductionEmerging evidence suggests working with men to prevent intimate partner violence (IPV) perpetration can be effective. However, it is unknown whether all men benefit equally, or whether different groups of men respond differentially to interventions.MethodsWe conducted trajectory modelling using longitudinal data from men enrolled in intervention arms of three IPV trials in South Africa and Rwanda to identify trajectories of IPV perpetration. We then use multinomial regression to describe baseline characteristics associated with group allocation.ResultsIn South Africa, the Stepping Stones and Creating Futures (SS-CF) trial had 289 men and the CHANGE trial had 803 men, and in Rwanda, Indashyikirwa had 821 men. We identified three trajectories of IPV perpetration: a low-flat (60%–67% of men), high with large reduction (19%–24%) and high with slight increase (10%–21%). Baseline factors associated men in high-start IPV trajectories, compared with low-flat trajectory, varied by study, but included higher poverty, poorer mental health, greater substance use, younger age and more childhood traumas. Attitudes supportive of IPV were consistently associated with high-start trajectories. In separate models comparing high-reducing to high-increasing trajectories, baseline factors associated with reduced IPV perpetration were depressive symptoms (relative risk ratio, RRR=3.06, p=0.01 SS-CF); living separately from their partner (RRR=2.14, p=0.01 CHANGE); recent employment (RRR=1.85, p=0.04 CHANGE) and lower acceptability of IPV (RRR=0.60, p=0.08 Indashyikirwa). Older aged men had a trend towards reducing IPV perpetration in CHANGE (p=0.06) and younger men in Indashyikirwa (p=0.07).ConclusionsThree distinct groups of men differed in their response to IPV prevention interventions. Baseline characteristics of past traumas and current poverty, mental health and gender beliefs predicted trajectory group allocation. The analysis may inform targeting of interventions towards those who have propensity to change or guide how contextual factors may alter intervention effects.Trial registration numbersNCT03022370; NCT02823288; NCT03477877.</description><identifier>ISSN: 2059-7908</identifier><identifier>EISSN: 2059-7908</identifier><identifier>DOI: 10.1136/bmjgh-2019-002199</identifier><identifier>PMID: 32424011</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Aged ; Attitudes ; Domestic violence ; Gender ; Global health ; Humans ; injury ; Intervention ; Intimate Partner Violence - prevention &amp; control ; Male ; Masculinity ; Mens health ; Mental Health ; Middle Aged ; Original Research ; other study design ; Poverty ; Prevention ; Qualitative research ; Rwanda - epidemiology ; Social norms ; South Africa - epidemiology ; Substance use ; Women ; Young adults</subject><ispartof>BMJ global health, 2020-05, Vol.5 (5), p.e002199</ispartof><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2020 Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b568t-95c75385ca821eba5ffdd65e45f343b993b682e2434c13d5e73b15a3668daf953</citedby><cites>FETCH-LOGICAL-b568t-95c75385ca821eba5ffdd65e45f343b993b682e2434c13d5e73b15a3668daf953</cites><orcidid>0000-0003-2812-5377</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://gh.bmj.com/content/5/5/e002199.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://gh.bmj.com/content/5/5/e002199.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27549,27550,27924,27925,53791,53793,55350,77601,77632,77660,77686</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32424011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Gibbs, Andrew</creatorcontrib><creatorcontrib>Dunkle, Kristin</creatorcontrib><creatorcontrib>Mhlongo, Shibe</creatorcontrib><creatorcontrib>Chirwa, Esnat</creatorcontrib><creatorcontrib>Hatcher, Abigail</creatorcontrib><creatorcontrib>Christofides, Nicola J</creatorcontrib><creatorcontrib>Jewkes, Rachel</creatorcontrib><title>Which men change in intimate partner violence prevention interventions? A trajectory analysis in Rwanda and South Africa</title><title>BMJ global health</title><addtitle>BMJ Glob Health</addtitle><addtitle>BMJ Global Health</addtitle><addtitle>BMJ Glob Health</addtitle><description>IntroductionEmerging evidence suggests working with men to prevent intimate partner violence (IPV) perpetration can be effective. However, it is unknown whether all men benefit equally, or whether different groups of men respond differentially to interventions.MethodsWe conducted trajectory modelling using longitudinal data from men enrolled in intervention arms of three IPV trials in South Africa and Rwanda to identify trajectories of IPV perpetration. We then use multinomial regression to describe baseline characteristics associated with group allocation.ResultsIn South Africa, the Stepping Stones and Creating Futures (SS-CF) trial had 289 men and the CHANGE trial had 803 men, and in Rwanda, Indashyikirwa had 821 men. We identified three trajectories of IPV perpetration: a low-flat (60%–67% of men), high with large reduction (19%–24%) and high with slight increase (10%–21%). Baseline factors associated men in high-start IPV trajectories, compared with low-flat trajectory, varied by study, but included higher poverty, poorer mental health, greater substance use, younger age and more childhood traumas. Attitudes supportive of IPV were consistently associated with high-start trajectories. In separate models comparing high-reducing to high-increasing trajectories, baseline factors associated with reduced IPV perpetration were depressive symptoms (relative risk ratio, RRR=3.06, p=0.01 SS-CF); living separately from their partner (RRR=2.14, p=0.01 CHANGE); recent employment (RRR=1.85, p=0.04 CHANGE) and lower acceptability of IPV (RRR=0.60, p=0.08 Indashyikirwa). Older aged men had a trend towards reducing IPV perpetration in CHANGE (p=0.06) and younger men in Indashyikirwa (p=0.07).ConclusionsThree distinct groups of men differed in their response to IPV prevention interventions. Baseline characteristics of past traumas and current poverty, mental health and gender beliefs predicted trajectory group allocation. 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A trajectory analysis in Rwanda and South Africa</title><author>Gibbs, Andrew ; Dunkle, Kristin ; Mhlongo, Shibe ; Chirwa, Esnat ; Hatcher, Abigail ; Christofides, Nicola J ; Jewkes, Rachel</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b568t-95c75385ca821eba5ffdd65e45f343b993b682e2434c13d5e73b15a3668daf953</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Aged</topic><topic>Attitudes</topic><topic>Domestic violence</topic><topic>Gender</topic><topic>Global health</topic><topic>Humans</topic><topic>injury</topic><topic>Intervention</topic><topic>Intimate Partner Violence - prevention &amp; control</topic><topic>Male</topic><topic>Masculinity</topic><topic>Mens health</topic><topic>Mental Health</topic><topic>Middle Aged</topic><topic>Original Research</topic><topic>other study design</topic><topic>Poverty</topic><topic>Prevention</topic><topic>Qualitative research</topic><topic>Rwanda - epidemiology</topic><topic>Social norms</topic><topic>South Africa - epidemiology</topic><topic>Substance use</topic><topic>Women</topic><topic>Young adults</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Gibbs, Andrew</creatorcontrib><creatorcontrib>Dunkle, Kristin</creatorcontrib><creatorcontrib>Mhlongo, Shibe</creatorcontrib><creatorcontrib>Chirwa, Esnat</creatorcontrib><creatorcontrib>Hatcher, Abigail</creatorcontrib><creatorcontrib>Christofides, Nicola J</creatorcontrib><creatorcontrib>Jewkes, Rachel</creatorcontrib><collection>BMJ Journals (Open Access)</collection><collection>BMJ Journals:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Nursing &amp; Allied Health Premium</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Gibbs, Andrew</au><au>Dunkle, Kristin</au><au>Mhlongo, Shibe</au><au>Chirwa, Esnat</au><au>Hatcher, Abigail</au><au>Christofides, Nicola J</au><au>Jewkes, Rachel</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Which men change in intimate partner violence prevention interventions? A trajectory analysis in Rwanda and South Africa</atitle><jtitle>BMJ global health</jtitle><stitle>BMJ Glob Health</stitle><stitle>BMJ Global Health</stitle><addtitle>BMJ Glob Health</addtitle><date>2020-05-01</date><risdate>2020</risdate><volume>5</volume><issue>5</issue><spage>e002199</spage><pages>e002199-</pages><issn>2059-7908</issn><eissn>2059-7908</eissn><abstract>IntroductionEmerging evidence suggests working with men to prevent intimate partner violence (IPV) perpetration can be effective. However, it is unknown whether all men benefit equally, or whether different groups of men respond differentially to interventions.MethodsWe conducted trajectory modelling using longitudinal data from men enrolled in intervention arms of three IPV trials in South Africa and Rwanda to identify trajectories of IPV perpetration. We then use multinomial regression to describe baseline characteristics associated with group allocation.ResultsIn South Africa, the Stepping Stones and Creating Futures (SS-CF) trial had 289 men and the CHANGE trial had 803 men, and in Rwanda, Indashyikirwa had 821 men. We identified three trajectories of IPV perpetration: a low-flat (60%–67% of men), high with large reduction (19%–24%) and high with slight increase (10%–21%). Baseline factors associated men in high-start IPV trajectories, compared with low-flat trajectory, varied by study, but included higher poverty, poorer mental health, greater substance use, younger age and more childhood traumas. Attitudes supportive of IPV were consistently associated with high-start trajectories. In separate models comparing high-reducing to high-increasing trajectories, baseline factors associated with reduced IPV perpetration were depressive symptoms (relative risk ratio, RRR=3.06, p=0.01 SS-CF); living separately from their partner (RRR=2.14, p=0.01 CHANGE); recent employment (RRR=1.85, p=0.04 CHANGE) and lower acceptability of IPV (RRR=0.60, p=0.08 Indashyikirwa). Older aged men had a trend towards reducing IPV perpetration in CHANGE (p=0.06) and younger men in Indashyikirwa (p=0.07).ConclusionsThree distinct groups of men differed in their response to IPV prevention interventions. Baseline characteristics of past traumas and current poverty, mental health and gender beliefs predicted trajectory group allocation. The analysis may inform targeting of interventions towards those who have propensity to change or guide how contextual factors may alter intervention effects.Trial registration numbersNCT03022370; NCT02823288; NCT03477877.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>32424011</pmid><doi>10.1136/bmjgh-2019-002199</doi><orcidid>https://orcid.org/0000-0003-2812-5377</orcidid><oa>free_for_read</oa></addata></record>
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subjects Aged
Attitudes
Domestic violence
Gender
Global health
Humans
injury
Intervention
Intimate Partner Violence - prevention & control
Male
Masculinity
Mens health
Mental Health
Middle Aged
Original Research
other study design
Poverty
Prevention
Qualitative research
Rwanda - epidemiology
Social norms
South Africa - epidemiology
Substance use
Women
Young adults
title Which men change in intimate partner violence prevention interventions? A trajectory analysis in Rwanda and South Africa
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