Violence in childhood and community contexts: a multi-level model of factors associated with women's intimate partner violence experience in Samoa

Lowe, Hattie; Mannell, Jenevieve; Faumuina, Taiaopo; Sinclair, Lewis; Tamanikaiyaroi, Lineta; Brown, Laura

doi:10.1016/j.lanwpc.2023.100957

Cited by 1 publication

(2 citation statements)

References 31 publications

(62 reference statements)

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“…This result is consistent with previous studies [2,12,18]. Moreover, this indicator is particularly important in gender studies as it reflects broader issues of gender inequality, power dynamics, and vulnerability to abuse [44,79,80]. It is crucial to recognize that the involvement of a child in sexual activity is a form of abuse, as the child is not able to give informed consent and is not emotionally or physically prepared for it.…”

Section: Discussionsupporting

confidence: 90%

“…In a study analyzing data from Samoa, it was found that, in addition to individual-and relationship-level factors, community characteristics, such as greater proportion of women engaged in household decision-making, as well as higher rates of employed men, were associated with lower levels of IPV [44]. Similarly, data from India indicate that the level of political involvement among women at the community level correlates significantly with marital conflicts and instances of violence, the overarching observation of this study was that increased representation of women in political spheres at the district level is associated with higher risks of physical IPV experienced by women [45].…”

Section: Community-level Factorsmentioning

confidence: 99%

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A model-based boosting approach to risk factors for physical intimate partner violence against women and girls in Mexico

Torres Munguía

2024

J Comput Soc Sc

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The goal of this study was to identify and describe the extent to which a comprehensive set of risk factors from the ecological model are associated with physical intimate partner violence (IPV) victimization in Mexico. To achieve this goal, a structured additive probit model is applied to a dataset of 35,000 observations and 42 theoretical correlates from 10 data sources. Due to the model's high dimensionality, the boosting algorithm is used for estimating and simultaneously performing variable selection and model choice. The findings indicate that age at sexual initiation and marriage, sexual and professional autonomy, social connectedness, household overcrowding, housework division, women's political participation, and geographical space are associated with physical IPV. The findings provide evidence of risk factors that were previously unknown in Mexico or were solely based on theoretical grounds without empirical testing. Specifically, this paper makes three key contributions. First, by examining the individual and relationship levels, it was possible to identify high-risk population subgroups that are often overlooked, such as women who experienced sexual initiation during childhood and women living in overcrowded families. Second, the inclusion of community factors enabled the identification of the importance of promoting women's political participation. Finally, the introduction of several emerging indicators allowed to examine the experiences faced by women in various aspects of life, such as decision-making power, social networks, and the division of housework.

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