Data-driven identification of subtypes of intimate partner violence

Abstract Intimate partner violence (IPV) is a complex problem with multiple layers of heterogeneity. We took a data-driven approach to characterize this heterogeneity. We integrated data from different studies, representing 640 individuals from various backgrounds. We used hierarchical clustering to...

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Autores principales:	Ahmet Mert Hacıaliefendioğlu, Serhan Yılmaz, Douglas Smith, Jason Whiting, Mehmet Koyutürk, Günnur Karakurt
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/194585576d65417681f1e67d3d37edc3
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id	oai:doaj.org-article:194585576d65417681f1e67d3d37edc3
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spelling	oai:doaj.org-article:194585576d65417681f1e67d3d37edc32021-12-02T13:24:14ZData-driven identification of subtypes of intimate partner violence10.1038/s41598-021-85947-32045-2322https://doaj.org/article/194585576d65417681f1e67d3d37edc32021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85947-3https://doaj.org/toc/2045-2322Abstract Intimate partner violence (IPV) is a complex problem with multiple layers of heterogeneity. We took a data-driven approach to characterize this heterogeneity. We integrated data from different studies, representing 640 individuals from various backgrounds. We used hierarchical clustering to systematically group cases in terms of their similarities according to violence variables. Results suggested that the cases can be clustered into 12 hierarchically organized subgroups, with verbal abuse and negotiation being the main discriminatory factors at higher levels. The presence of physical assault, injury, and sexual coercion was discriminative at lower levels of the hierarchy. Subgroups also exhibited significant differences in terms of relationship dynamics and individual factors. This study represents an attempt toward using integrative data analysis to understand the etiology of violence. These results can be useful in informing treatment efforts. The integrative data analysis framework we develop can also be applied to various other problems.Ahmet Mert HacıaliefendioğluSerhan YılmazDouglas SmithJason WhitingMehmet KoyutürkGünnur KarakurtNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ahmet Mert Hacıaliefendioğlu Serhan Yılmaz Douglas Smith Jason Whiting Mehmet Koyutürk Günnur Karakurt Data-driven identification of subtypes of intimate partner violence
description	Abstract Intimate partner violence (IPV) is a complex problem with multiple layers of heterogeneity. We took a data-driven approach to characterize this heterogeneity. We integrated data from different studies, representing 640 individuals from various backgrounds. We used hierarchical clustering to systematically group cases in terms of their similarities according to violence variables. Results suggested that the cases can be clustered into 12 hierarchically organized subgroups, with verbal abuse and negotiation being the main discriminatory factors at higher levels. The presence of physical assault, injury, and sexual coercion was discriminative at lower levels of the hierarchy. Subgroups also exhibited significant differences in terms of relationship dynamics and individual factors. This study represents an attempt toward using integrative data analysis to understand the etiology of violence. These results can be useful in informing treatment efforts. The integrative data analysis framework we develop can also be applied to various other problems.
format	article
author	Ahmet Mert Hacıaliefendioğlu Serhan Yılmaz Douglas Smith Jason Whiting Mehmet Koyutürk Günnur Karakurt
author_facet	Ahmet Mert Hacıaliefendioğlu Serhan Yılmaz Douglas Smith Jason Whiting Mehmet Koyutürk Günnur Karakurt
author_sort	Ahmet Mert Hacıaliefendioğlu
title	Data-driven identification of subtypes of intimate partner violence
title_short	Data-driven identification of subtypes of intimate partner violence
title_full	Data-driven identification of subtypes of intimate partner violence
title_fullStr	Data-driven identification of subtypes of intimate partner violence
title_full_unstemmed	Data-driven identification of subtypes of intimate partner violence
title_sort	data-driven identification of subtypes of intimate partner violence
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/194585576d65417681f1e67d3d37edc3
work_keys_str_mv	AT ahmetmerthacıaliefendioglu datadrivenidentificationofsubtypesofintimatepartnerviolence AT serhanyılmaz datadrivenidentificationofsubtypesofintimatepartnerviolence AT douglassmith datadrivenidentificationofsubtypesofintimatepartnerviolence AT jasonwhiting datadrivenidentificationofsubtypesofintimatepartnerviolence AT mehmetkoyuturk datadrivenidentificationofsubtypesofintimatepartnerviolence AT gunnurkarakurt datadrivenidentificationofsubtypesofintimatepartnerviolence
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Data-driven identification of subtypes of intimate partner violence

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