Spatial distribution and determinants of intimate partner violence among reproductive-age women in Ethiopia: Spatial and Multilevel analysis

Spatial distribution of inadequate meal frequency and its associated factors among children aged 6-23 months in Ethiopia: Multilevel and spatial analysis

INTRODUCTION

More than two-third of global child death is occurred due to inappropriate feeding practice that happened during early childhood period. Evidence on meal frequency status among infant and young children at national level can be used to design appropriate interventions to improve the recommended feeding frequency. Therefore, this study was aimed to explore the spatial distribution and identify associated factors of inadequate meal frequency among children aged 6-23 months in Ethiopia.

METHODS

Secondary data analysis was conducted using the 2019 mini Ethiopian Demographic and Health Survey data. A total weighted sample of 1,532 children aged 6-23 months were included. To identify significant factors associated with of inadequate meal frequency, multilevel binary logistic regression model was fitted. Variables with p-value < 0.25 from the bi-variable model were exported to multivariable analysis. In the multivariable model, variables with p-value < 0.05 were declared as significantly associated factors and adjusted odds ratio (AOR) with its 95% confidence interval were reported. Multilevel models were compared using deviance and log-likelihood. Spatial analysis tools were utilized to visualize the distribution of inadequate meal frequency. Bernoulli model was fitted using SaTScan V.9.6 to identify most likely clusters and ArcGIS V.10.8 was used to map the hotspot areas. Ordinary least square and geographic weighted regression models were used and compared using information criteria and adjusted-R2. Local coefficients of factors associated with hotspots of inadequate meal frequency were mapped.

RESULTS

The prevalence of inadequate meal frequency was 47.03% (95% CI: 44.54%, 49.53%) in Ethiopia. Age of the child, sex of the household head, timely initiation of breastfeeding, current breastfeeding status, number of antenatal care visit, maternal education, and region were significantly associated with inadequate meal frequency. The spatial distribution of inadequate meal frequency was showed significant variation across Ethiopia (Global Moran's I = 0.164, p-value <0.001). A total of 38 significant clusters were detected through SaTScan analysis, from these the 22 primary clusters were located in Somali and Harari.

CONCLUSION AND RECOMMENDATION

The prevalence of inadequate meal frequency was high in Ethiopia and had significant clustering patter. Significant hotspot clusters were located in Somali, northern Afar, Harari, Amhara, Gambela, and eastern South nation nationalities and peoples' region. Therefore, public health interventions which enhance breastfeeding practice, optimal number of antenatal care visits, educational empowerments should target hotspot areas to decrease inadequate meal frequency practice.

Multilevel analysis of intimate partner violence and associated factors among reproductive-age women: Kenya demographic and health survey 2022 data

INTRODUCTION

Intimate partner violence is a human rights violation that often involves violence against women, which appears to be the most prevalent type of abuse. Intimate partner violence is a major global public health issue that includes physical, emotional, and sexual violence. The prevalence of intimate partner violence in Africa is high. The burden of intimate partner violence among reproductive-age women is high in Kenya. Therefore, the main aim of this study is to determine the associated factors of intimate partner violence among reproductive-age women at the individual and community level from the recent Demographic and Health Survey (DHS) 2022 data of Kenya.

METHODS

The Kenya National Demographic and Health Survey data of 2022 was used for this study. The overall sample size for this study was 14,612, which focused on women aged 15 to 49 years who had ever been partnered and responded to the domestic violence module. Multilevel logistic regression models to determine the prevalence and associated factors at the individual and community level with intimate partner violence with a 95% Confidence Interval (CI) and Adjusted Odds Ratio (AOR).

RESULT

The overall prevalence of intimate partner violence was 41.1% with a 95% CI (40.07%, 42.60. Male-headed households, poorest and middle wealth status, partner alcohol use, separated/widowed current marital status, and low education of women were statistically significantly associated with intimate partner violence at the individual level variables in this study.

CONCLUSIONS

The prevalence of intimate partner violence was high. Educating women, reducing partner alcohol use, and improving the economic status of women, were crucial in mitigating the burden of intimate partner violence. The intimate partners are supposed to respect the rights of women.

Multilevel determinants of physical violence among ever-partnered women in South Africa

BACKGROUND

Violence against women continues to be a challenge in many countries. Many women suffer physical violence at the hands of their intimate partners and sometimes this leads to their deaths. This study aimed to examine the multilevel determinants of physical violence among ever-partnered women in South Africa.

METHODS

We used data from the 2016 South Africa Demographic and Health Survey. The study has a weighted sample size of 4169 ever-partnered women aged 18-49 years, based on the domestic violence module. We included univariate, bivariate and multilevel logistic regression analysis. We included a two-level model to measure the relationship between the selected background characteristics and physical violence.

RESULTS

The prevalence of physical violence among ever-partnered women was 20.6%. The bivariate findings showed that educational status, employment status, witness to inter-parental violence, partner's drinking habits, household wealth, educational difference, and province were statistically associated with physical violence. The multilevel analysis showed some evidence of between-cluster variation in physical violence. We found that age, education, employment status, witness to inter-parental violence, partner's drinking habits, household wealth, education difference, place of residence, and province were key predictors of physical violence. The odds of physical violence were more than two-fold in the Eastern Cape and Mpumalanga compared to Gauteng.

CONCLUSION

The study highlighted various key factors explaining physical violence. The findings suggest the need for targeted interventions aimed at specific communities of women, such as those from the Eastern Cape and Mpumalanga, as well as interventions that will empower women and address gender inequalities.

Determinants of spousal physical violence against women in Zambia: a multilevel analysis

BACKGROUND

Violence against women and girls is a major public health issue, a violation of human rights, and is linked to a number of harmful effects on one's physical, mental, sexual, and reproductive health. Studies conducted in other parts of sub-Saharan Africa (SSA) suggest that there is an association between contextual factors and experience of intimate partner violence. However, in Zambia, this association is not well documented. Thus, this study was conducted to examine how individual and community-level characteristics influence spousal violence against women in Zambia.

METHODS

Data from the most recent Zambia Demographic and Health Survey conducted in 2018 was used. A sample of 7,358 ever-married women aged 15-49 years was used in the analysis. Two level multilevel binary logistic regression models were employed to examine the association between individual and contextual-level factors and experience of spousal violence.

RESULTS

The prevalence of spousal physical violence against women in Zambia was 21.1% [95% CI, 19.8, 22.5]. Women aged 15-19 [aOR = 2.36, 95% CI = 1.34-4.14] and 20-24 [aOR = 2.11, 95% CI = 1.38-3.22], who did not own mobile phone [aOR = 1.36, 95% CI = 1.10-1.69], and had low decision making autonomy [aOR = 1.24, 95% CI = 1.01-1.54] were more likely experience spousal physical violence. Furthermore, communities which had a low proportion of women with decision making power [aOR = 1.66, 95% CI = 1.26-2.19] were more likely experience spousal physical violence. Additionally, women whose partners' drank alcohol [aOR = 2.81, 95% CI = 2.30-3.45] and those whose partners exhibited jealous behaviour [aOR = 2.38, 95% CI = 1.88-3.21] were more likely to experience spousal physical violence.

CONCLUSION

Both individual and community-level factors influenced spousal physical violence in Zambia. Integrating community level factors when designing interventions to address gender-based would be key to reduce women's vulnerability to gender based violence in the country. There is need to re-evaluate and re-strategize current strategies being implemented to address gender based violence in the country to make them context specific.

Understanding the Geography of Victimization: A Spatial Analysis of Intimate Partner Violence in India

Most studies on intimate partner violence (IPV) and its drivers have focused on individual-and household-level characteristics of the victim. Recent studies have acknowledged that it is a community-level phenomenon, using spatial analytical methods to analyze community-level determinants of IPV and its geographic dimensions. Such studies provide mixed evidence on the impact of different factors and need to be supplemented by similar studies-particularly in South Asian countries where IPV is common. The present study examines district-level variations in the incidence of various forms of IPV and identifies its determinants in India, a fast-growing South Asian country with poor gender indicators. The study combines data from the National Family Health Survey, District Level Household Survey, and the decadal Census. It applies spatial analytical methods such as the Global Moran's I, Getis-ord statistic, and Multivariate Local Geary to determine the nature of the spatial distribution of different categories of IPV. Spatial regression models are used to identify the community-level predictors of each category of IPV. The study finds non-random overlapping spatial clusters in the eastern part of India. The study also finds that neighborhoods characterized by low empowerment levels, and with a high child sex ratio, road connectivity, and proportion of socially marginalized groups are more likely to exhibit high levels of all types of IPV-although the impact of these determinants varies across districts. Furthermore, spill-overs in the incidence of IPV between neighboring districts are also observed. The study concludes by recommending the use of localized policies, rather than broad national or state policies, in reducing IPV.

Spatial distribution and predictors of lifetime experience of intimate partner violence among women in South Africa

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 intimate partner violence among 2,410 women of reproductive age who had ever experienced intimate partner violence in their lifetime in South Africa. The spatial distribution of intimate partner violence in South Africa ranged from 0 to 100 percent. Western Cape, Free State, and Eastern Cape were predicted areas that showed a high proportion of intimate partner violence in South Africa. The likelihood of experiencing intimate partner violence among women in South Africa was high among those who were cohabiting [aOR = 1.41; 95%(CI = 1.10-1.81)] and women who were previously married [aOR = 2.09; 95%(CI = 1.30-3.36)], compared to women who were currently married. Women who lived in households with middle [aOR = 0.67; 95%(CI = 0.48-0.95)] and richest wealth index [aOR = 0.57; 95%(CI = 0.34-0.97)] were less likely to experience lifetime intimate partner violence compared to those of the poorest wealth index. The study concludes that there is a regional variation in the distribution of intimate partner violence in South Africa. A high prevalence of intimate partner violence was found among women who live in the Western Cape, Free State, and Eastern Cape. Furthermore, predictors such as women within the poorest wealth index, women who were cohabiting and those who were previously married should be considered in the development and implementation of interventions against intimate partner violence in South Africa.

Maternal exposure to intimate partner violence and uptake of maternal healthcare services in Ethiopia: Evidence from a national survey

Background

Women exposed to Intimate Partner Violence (IPV) often do not utilize maternal health care optimally both because of stigma and other social problems. The current study aims to explore an association between maternal healthcare seeking and violence exposure among Ethiopian women and to assess if educational attainment and wealth status moderate this association.

Methods

The analyses included 2836 (weighted) currently married women with one live birth. We focus on the five years preceding the 2016 Ethiopian Demographic and Health Survey (EDHS) who participate, in the domestic violence sub-study. Exposure was determined by maternal reports of physical, emotional, sexual IPV or any form of IPV. The utilization of antenatal care (ANC) and place of delivery were used as proxy outcome variables for uptake of skilled maternal healthcare utilization. Women’s education attainment and wealth status were selected as potential moderators, as they can enable women with psychological and financial resources to counteract impact of IPV. Multilevel logistic regression analyses were used to explore the association between spousal IPV and maternal health outcomes. Moderation effects by education and wealth status were tested, and the data stratified. Using statistical software Stata MP 16.1, the restricted maximum likelihood method, we obtained the model estimates.

Results

About 27.5% of the women who reported exposure to any form of IPV had a health facility delivery. While 23.4% and 22.4% visited four or more antenatal care services among mothers exposed to emotional IPV and sexual IPV, respectively. After adjusting for potential confounding factors, only the association between maternal exposure to emotional IPV and adequate use of ANC was statistically significant (OR = 0.73, (95% CI:0.56–0.95)). But we found no significant association between IPV and utilization of health facility delivery. Some moderation effects of education and wealth in the association between IPV and maternal healthcare service utilization outcome were found.

Conclusion

Exposure to emotional IPV was associated with poor uptake of maternal health care service utilization for married Ethiopian women. While developing interventions to improve women’s maternal healthcare service use, it is crucial to consider the effects of socio-economic variables that moderate the association especially with the intersection of IPV.

Decomposing the gap in intimate partner violence between Scheduled Caste and general category women in India: An analysis of NFHS-5 data

Scheduled Caste (SC) women, one of India's most oppressed and neglected population groups, are the most vulnerable to intimate partner violence (IPV). IPV, on the other hand, is less common among women in the General category. No study has been conducted to measure the gap in IPV between these two groups. This study is an attempt to fill this gap. This study aims to comprehensively explore the factors that underlie and explain the gap in IPV between SC and General women. Information on 10,168 ever-married SC and 9695 ever-married General women aged 15–49 from the fifth round of the National Family Health Survey was analyzed. The Fairlie decomposition (Blinder–Oaxaca decomposition modified for binary outcomes) was used in this study to explain the gap in ever experience of IPV prevalence between SC and General women. About 37.3% and 24.4% of ever-married SC and General women in India suffered either physical or mental or sexual violence from their husbands. The large part of the gap in IPV between SC and General women was due to differences in husbands' alcohol consumption (26.33% gap), wealth index (24.48% gap), controlling behavior by husband (24%) and parental IPV (15.87% gap). With the introduction of appropriate interventions and programs, these gaps can be reduced. Interventions aimed at reducing alcoholism should be emphasized.

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Intimate Partner Violence (IPV) was more prevalent in Scheduled Caste (SC) women than in General category women.

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Wealth, parental IPV, husband’s alcohol consumption and controlling behavior explained 90% of the SC-General gap in IPV.

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Group differences in husband’s alcohol consumption explained about one-fourth of the SC-General gap in IPV.

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Wealth index and husband’s controlling behavior explained about 24.5% and 24.0% of the gap in IPV, respectively.

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In short run, interventions aimed at reducing alcoholism should be emphasized.

Intimate partner violence and associated factors among reproductive age women in Liberia: a cross-sectional study using a recent Liberian demographic and health survey

Background

Intimate partner violence (IPV) is a major public health problem and a violation of women's human rights. Almost one third of women aged 15–49 years who have been in a relationship have experienced to some form of physical and/or sexual violence by their intimate partner worldwide.

Objective

The study aimed to assess the prevalence of intimate partner violence within the last 12 months and associated factors among reproductive aged women in Liberia.

Method

This study was based on a large community-based cross-sectional survey, Liberia Demographic Health Survey (LDHS), conducted From October 16, 2019, to February 12, 2020, in Liberia. The 2019–20 LDHS used a stratified two-stage cluster design. Multivariable logistic regression was used to identify independent intimate partner violence among reproductive age women in Liberia and to control confounders. Adjusted odds ratio and confidence interval (CI) were used to declare statistical significance in the final model. Those variables with p value < 0.05 were considered as statistically significant.

Result

The overall prevalence of IPV within the last 12 months was 44.74% (42.73–46.77). age of the women 41% (AOR = 0.59, 95%CI 0.37–0.93), 42% (AOR = 0.58, 95%CI 0.35–0.94), and 59% (AOR = 0.41, 95%CI 0.25–0.68) among women with in the age group of 35–39, 40–44 and 45–49 respectively, south central region (AOR = 0.71, 95%CI 0.52–0.96), women’s primary education (AOR = 1.28, 95%CI 1.01–1.63), female household head (AOR = 0.77, 95%CI 0.61–0.97), husbands higher education (AOR = 0.62, 95%CI 0.39–0.99), positive wife beating attitude (AOR = 1.57, 95%CI 1.29–1.90), husband drinks (AOR = 2.59, 95%CI 2.14–3.15) and Women’s decision making autonomy (AOR = 0.75, 95%CI 0.61–0.93) were significantly associated with IPV.

Conclusion

The prevalence of IPV in Liberia was high. Socio-demographic characteristics of women, husbands education, sex of household head, having a positive attitude towards wife-beating, partner’s alcohol drinking habit and women empowerment was significantly associated with IPV in Liberia. Policymakers and program designers have to take into account those factors when they design interventions to reduce IPV in Liberia.

Spatial distribution and determinant factors of intimate partner violence among reproductive age group women in Ethiopia: Using generalized structural equation modeling

INTRODUCTION

Intimate Partner Violence (IPV) is the most serious and pervasive yet under-recognized human rights violation in the world, particularly in Ethiopia. Hence, the objective of this study was to find the spatial distribution of IPV and its determinant factors in Ethiopia.

METHODS

Secondary data analysis was conducted among 2,687 reproductive age group women (15-49 years). The distribution of IPV across the country was observed by ArcGIS software. In SaTScan software, the Bernoulli model was fitted by Kulldorff methods to identify the purely spatial clusters of IPV. Besides, Generalized Structural Equation Model (GSEM) was used to determine factors associated with each domain of IPV (physical, emotional & sexual violence).

RESULT

The spatial distribution of IPV was found to be clustered in Ethiopia with Global Moran's I 0.09 (p < 0.001), and the highest IPV cluster was observed in Oromia (p < 0.001), Somali (p < 0.001) and SNNP (p<0.001) regions. Watching television and not having attitudes toward wife beating were negatively associated with physical violence. Being rich and nonsmoker were inversely associated with emotional violence. The odds of experiencing sexual violence were high among pregnant women and wives of uneducated husbands/partners. In addition, women's decision-making autonomy and husband/partner drinking alcohol have positive and negative associations with all domains of IPV respectively.

CONCLUSION

There was a significant clustering of IPV in Ethiopia and the highest IPV cluster was observed in Oromia, Somali and SNNP regions. Being rich, watching television, not having attitudes toward wife beating, women's decision-making autonomy, and husband's/partner's high education and non-alcohol drinker status were negatively associated with IPV. The likelihood of experiencing IPV was also high among smokers and pregnant women. Thus, we recommend that improving the economic status of the household through social protection and empowerment of women in decision-making autonomy by education and employment and increasing community awareness about the consequences of IPV with particular emphasis on Oromia, Somali and SNNP regions is essential.