2023
DOI: 10.1371/journal.pgph.0000920
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Spatial distribution and predictors of lifetime experience of intimate partner violence among women in South Africa

Abstract: In recent times, intimate partner has gained significant attention. However, there is limited evidence on the spatial distribution and predictors of intimate partner violence. Therefore, this study examined the spatial distribution and predictors of intimate partner violence in South Africa. The dataset for this study was obtained from a cross-sectional survey of the 2016 South Africa Demographic and Health Survey. We adopted both spatial and multilevel analyses to show the distribution and predictors of intim… Show more

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Cited by 5 publications
(7 citation statements)
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“…Previous studies from several African, Asian, and Latin American countries have reported various IPV correlates [1][2][3][4][5][9][10][11][12][13][14][15][16][17][18][19][20][21][22]24,26 ; in this secondary analysis 12 correlates at the level of individual respondent, husband/partner, and familial levels were studied in terms of association with respondent having ever experienced any form of intimate partner violence. These included women's' age, women's and her husband's/partner's educational attainment, women's occupation, household's wealth index, residential status (urban or rural), number of living children, decision making, IPV acceptance, husband's/partner's alcohol use, having ever witnessed one's father physically beating up one's mother, and marital control.…”
Section: Explanatory Variablesmentioning
confidence: 99%
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“…Previous studies from several African, Asian, and Latin American countries have reported various IPV correlates [1][2][3][4][5][9][10][11][12][13][14][15][16][17][18][19][20][21][22]24,26 ; in this secondary analysis 12 correlates at the level of individual respondent, husband/partner, and familial levels were studied in terms of association with respondent having ever experienced any form of intimate partner violence. These included women's' age, women's and her husband's/partner's educational attainment, women's occupation, household's wealth index, residential status (urban or rural), number of living children, decision making, IPV acceptance, husband's/partner's alcohol use, having ever witnessed one's father physically beating up one's mother, and marital control.…”
Section: Explanatory Variablesmentioning
confidence: 99%
“…9,10 Plethora of IPV correlates have been reported using DHS and other data: these include gender-based power differentials with women experiencing limited empowerment and autonomy in terms of making or contributing to personal or household decisions, acceptance of IPV, low educational attainment by women or her partner, alcohol use by the partner, age of women, age of partner, and marital control displayed by the partner. 11-18…”
Section: Introductionmentioning
confidence: 99%
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“…More pervasive IPV practices perhaps negate the effects of these factors’ association with IPV in this study. However, several studies have reported an association of higher wealth status, measured in quintiles ranging from poorest to richest, and its protective effects on women experiencing IPV ( 15 , 16 , 23 , 26 ) with higher odds of IPV in women hailing from lower wealth quintiles ( 17 , 25 ). The lack of statistically significant association with the educational attainment of the respondent or her intimate partner was another unusual finding from this study.…”
Section: Discussionmentioning
confidence: 99%