A Multi-Level Analysis of Help-Seeking Behaviour of Male Victims of Intimate Partner Violence

D. A. Candia, P. G. O. Weke, G. O. Muhua, M. M. Manene
{"title":"A Multi-Level Analysis of Help-Seeking Behaviour of Male Victims of Intimate Partner Violence","authors":"D. A. Candia, P. G. O. Weke, G. O. Muhua, M. M. Manene","doi":"10.4038/sljas.v25i1.8121","DOIUrl":null,"url":null,"abstract":"Globally, many men are victims of intimate partner violence but not many seek help to stop the violence. This study sought to identify the factors associated with the help-seeking behavior of male victims of intimate partner violence (IPV) in Uganda. This was done using ordinary and mixed-effects regression models with logit, probit, and complementary log-log link functions and secondary data from the 2016 Uganda Demographic and Health Survey. Most males (70.6 percent) never sought help after experiencing intimate partner violence. Marital status, listening to the radio, physically hurt partner, experienced physical injury, number of control issues, father ever beat mother, and severity of violence were significantly associated with the help-seeking behavior of male victims of IPV. There is a need to come up with interventions that encourage males to report IPV, especially among the married, and also sensitize males not to wait until they have experienced physical injuries or any other severe violence before they seek help. Given that the sampling methodology used in demographic and health surveys introduces nesting in the data, researchers should consider using multilevel models.","PeriodicalId":91408,"journal":{"name":"Sri Lankan journal of applied statistics","volume":"23 21","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sri Lankan journal of applied statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4038/sljas.v25i1.8121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Globally, many men are victims of intimate partner violence but not many seek help to stop the violence. This study sought to identify the factors associated with the help-seeking behavior of male victims of intimate partner violence (IPV) in Uganda. This was done using ordinary and mixed-effects regression models with logit, probit, and complementary log-log link functions and secondary data from the 2016 Uganda Demographic and Health Survey. Most males (70.6 percent) never sought help after experiencing intimate partner violence. Marital status, listening to the radio, physically hurt partner, experienced physical injury, number of control issues, father ever beat mother, and severity of violence were significantly associated with the help-seeking behavior of male victims of IPV. There is a need to come up with interventions that encourage males to report IPV, especially among the married, and also sensitize males not to wait until they have experienced physical injuries or any other severe violence before they seek help. Given that the sampling methodology used in demographic and health surveys introduces nesting in the data, researchers should consider using multilevel models.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
对亲密伴侣暴力男性受害者求助行为的多层次分析
在全球范围内,许多男性都是亲密伴侣暴力的受害者,但寻求帮助以制止暴力的人却不多。本研究试图找出与乌干达亲密伴侣暴力(IPV)男性受害者求助行为相关的因素。研究采用了普通回归模型和混合效应回归模型,并使用了Logit、Probit和互补对数-对数链接函数,以及2016年乌干达人口与健康调查的二手数据。大多数男性(70.6%)在遭受亲密伴侣暴力后从未寻求过帮助。婚姻状况、收听收音机、伴侣身体受伤、经历过身体伤害、控制问题的数量、父亲曾殴打母亲以及暴力的严重程度与亲密伴侣暴力男性受害者的求助行为显著相关。因此,有必要采取干预措施,鼓励男性(尤其是已婚男性)报告 IPV 行为,并向男性宣传不要等到遭受身体伤害或其他严重暴力后才寻求帮助。鉴于人口与健康调查中使用的抽样方法会导致数据嵌套,研究人员应考虑使用多层次模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Effectiveness of Using Candlestick Charts to Forecast Ethereum Price Direction: A Machine Learning Approach A Multi-Level Analysis of Help-Seeking Behaviour of Male Victims of Intimate Partner Violence A Mixed Model Approach for Identifying the Impact of Soft Productivity Factors on Employee Turnover among Information Technology Employees in Sri Lanka Estimating COVID-19 Prevalence in Sri Lanka: A Dynamic Sampling Model Approach A Bayesian Network Analysis of Calendar Effects in the Colombo Stock Exchange
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1