Reduce Household Food Insecurity Research Articles

Lower Perceived Neighborhood Collective Efficacy Indirectly Influences the Association Between Perceived Maternal Exposure to Community Violence and Household Food Insecurity.

Individuals of color and of low socioeconomic status are at greater risk of experiencing community violence and food insecurity, which are both influenced by neighborhood conditions. We evaluated neighborhood collective efficacy as a linkage between community violence exposure and household food insecurity. Mothers from the Future of Families and Child Wellbeing Study who completed phone surveys when the child was 3 (time 1, T1) and 5 years old (time 2, T2) were included (n = 2068). A covariate-adjusted structural equation model estimated direct and indirect effects of community violence exposure on household food insecurity. A covariate-adjusted multiple mediator model estimated the indirect effects of the 2 neighborhood collective efficacy subscales (informal social control; social cohesion and trust). At T1, 40% of mothers reported community violence exposure; 15% experienced food insecurity at T2. Mean neighborhood collective efficacy (range 1-5) at T1 was 2.44 (SD = 0.94). Neighborhood collective efficacy indirectly influenced the association between community violence exposure and food insecurity (indirect effect = 0.022, 95% CI = 0.007 to 0.040). Only social cohesion and trust contributed independent variance to the indirect effect model (indirect effect = 0.028, 95% CI = 0.001 to 0.056). Community-based efforts to reduce household food insecurity should emphasize building social cohesion and trust in communities experiencing violence.

Unlocking the potential of surplus food: A blockchain approach to enhance equitable distribution and address food insecurity in Italy

Food insecurity and food surplus are two pressing issues that have been exacerbated by the COVID-19 pandemic. This paper presents a novel approach to addressing these problems using blockchain technology. More specifically, data from the Italian Regusto platform are analysed to identify factors that determine the volume and economic value of surplus food redistribution.From a methodological statistical perspective, the performance of Stepwise Multiple Linear Regression and Random Forest are compared in a blockchain data analysis. The effective machine-learning-based analysis reveals that the Regusto platform gives people greater access to the surplus food redistributed by non-profit organisations and suppliers through both donations and sales. The study also highlights the potential effects of redistributing surplus food on the beneficiaries' diets and health and we find that redistributing surplus food can reduce household food insecurity among low-income families and communities measured by food poverty and COVID-19 indexes at different spatial locations.Overall, by offering a unique perspective on these issues through the lens of blockchain technology, our study can inspire further research on how this technology can ensure everyone has enough affordable, nutritious food to lead healthy lives.

Pathways toward the sustainable improvement of food security: Adopting the household food insecurity access scale in rural farming households in Bangladesh

Achieving food security is a global concern that constitutes a major challenge, particularly for the least developed countries, such as Bangladesh. In the context of globalization, the nation continues to have ongoing food insecurity, particularly in rural areas, despite its overall economic growth and development. This has become a constraint in achieving the Sustainable Development Goals (SDGs) within the established time scale, particularly SDG2 (Zero Hunger). With this consideration in mind, the present study assesses the prevalence of household food in(security) and identifies the factors that influence this among rural farming households in Bangladesh. A sample of 350 farming households was surveyed randomly from the four villages in Mymensingh, Bangladesh. The household food insecurity access scale (HFIAS) was utilized to explore household food security. The results reveal that only 18% of rural farming households were food secure while the remainder were food insecure to some extent. Using a binomial logit regression model, we found that the household head’s educational level, as well as whether the household has a savings account, owns land, receives financial or other forms of support from household members abroad, has larger farm sizes, and practices homestead gardening significantly reduce household food insecurity, whereas a higher number of members in the household increases it. The findings of this study establish a foundational understanding of food security in rural areas by employing contemporary measurement tools and techniques. This addition to the existing knowledge base will assist in the design and implementation of a comprehensive and multifaceted policy outline not only for the rural areas of Bangladesh but also for sustainable development globally.

Food Insecurity in the United States: Measurement, Economic Modeling, and Food Assistance Effectiveness

We first discuss the genesis and development of the Food Security Module in the United States. We then present a conceptual model of food insecurity, drawing on consumer choice theory. The model shows how food insecurity exhibits a quality–quantity trade-off and has linkages to policy levers. Next, we present new stylized facts pertaining to food consumption for those who report food insecurity versus those who do not. Adults residing in food-insecure households consume lower-quality diets across the entire distribution of diet quality and experience more volatility in caloric intake. Males younger than 20 years in food-insecure households exhibit no differences in diet quality but consume fewer calories, while the opposite is true for younger females. We review the literature pertaining to the effects of federal food assistance programs on food insecurity. The Supplemental Nutrition Assistance Program tends to reduce household food insecurity, while having little to no effect on nutritional quality. Federal programs pertaining to children (i.e., the school food programs and the Special Supplemental Nutrition Program for Women, Infants, and Children) tend to reduce food insecurity while also increasing the nutritional quality of children's diet.

Emergency food aid and household food security during COVID‐19: Evidence from a field survey in Senegal

AbstractThe effectiveness of food aid in reducing household food insecurity in developing countries has been extensively examined in previous studies. This study explores this issue in the context of COVID‐19, using the example of emergency food aid provided by the Senegalese government. Field survey data were collected from 4500 recipients and non‐recipients, and the matching method was used to examine whether there was a significant difference between the two groups. Several dimensions of food insecurity were explored through five indicators: the food consumption score and the coping strategies index from the World Food Programme and three indicators of simple, moderate and severe food insecurity based on the Food Insecurity Experience Scale of the US Food and Agriculture Organization (FAO). The results show that government aid has a negative and significant impact on the diversity and nutritional value of beneficiary households' diets. Nevertheless, this programme prevented the use of extreme coping strategies. Furthermore, government aid has a positive impact on food security as measured by negative experiences related to food access. Ultimately, despite low nutritional intake, the programme had a positive effect on recipients’ food access compared with non‐beneficiaries. Therefore, for future interventions, the government should promote local and more nutritious products to sustainably improve food security.

Impact of Dairy Production on Smallholder Households Food Security in the Central Gondar Zone, Ethiopia

This study investigated how dairy production affected the food security of households in the Central Gondar Zone, Ethiopia. To collect primary data, 313 households were selected for interviews based on a multistage sampling approach. A review of published and unpublished documents was also conducted for secondary data collection. According to inferential statistics, about 73.08% (household dietary diversity scores (HDDs)) and 72.53% (HFCS) of dairy producer households were food secure, while 32.06% (HDDs) and 33.59% (HFCS) of dairy non-producer households were food secure. Furthermore, the Endogenous Switching Probit Regression model showed that dairy production increased food security among smallholders. Dairy production increased dairy producer households’ food security by 48.4% (HDDs) and 45.9% (HFCS). Also, it would have improved food security by 10.4% (HDDs) and 7.1% (HFCS) for dairy non-producer households. In conclusion, dairy production contributes significantly to enhancing food security for smallholders. Hence, stakeholders must pay attention to the dairy sector to improve its production and reduce household food insecurity.

The Impact of Land Fragmentation in Rice Production on Household Food Insecurity in Vietnam

The objective of this study is to examine the impact of land fragmentation in rice production on household food insecurity in Vietnam. This study provides the first evidence on the effect of land fragmentation on household food insecurity in rice production. This study uses a relatively rich panel dataset of rice farming households across different regions from the Vietnam Access to Resources Household Survey (VARHS) 2012, 2014, and 2016. The research applies the ordered probit model to identify land fragmentation and other factors affecting household food insecurity at different food insecurity levels. Findings indicate that land fragmentation and rice seed types are positively correlated with household food insecurity. Importantly, the odds of an increase of 1% fragmentation land index increase the probability of household food insecurity at a very high level of 4.79% after controlling for unobserved heterogeneity. Other factors such as total cultivated area, access to credit, and household savings help reduce household food insecurity. These findings suggest that the government needs to foster the process of consolidating fragmented rice plots to help households produce efficiently and reduce food insecurity for their families. In addition, other approaches such as increasing farm size for each rice farmer and access to credit can increase the probability of food security for rural households in Vietnam.

Corporate and business domination of food banks and food diversion schemes in Canada

Critics have identified the corporate and business sector as contributing to household food insecurity through its endorsement of low wages, anti-union activities and lobbying for retrenchment of the Canadian welfare state. It is therefore troubling that this same corporate and business sector has come to dominate positions on the boards of directors of civil society organizations with missions to reduce household food insecurity. Fisher uses the term ‘Big Hunger’ to describe how this ‘hunger-industrial complex’ of food banks, food diversion schemes and corporations and companies are accruing benefits to themselves yet do little to reduce household food insecurity. We consider such processes as illustrating two key political economy concepts: (1) Marx’s concepts of base and superstructure and (2) Gramsci’s cultural hegemony. We carry out a critical case study of the relevance of these concepts to the Canadian household food insecurity scene by examining how the corporate and business sector now dominates the boards of directors of four major civil society organizations concerned with reducing household food insecurity. We find evidence of these civil society organizations exhibiting agenda distortion, reciprocity and loss of integrity, all reflecting their becoming part of the superstructure of capitalist society whose ruling elites come to dominate the ideas and values of society. Issues of wages, unionization and collective agreement bargaining, taxes and taxation, income inequality and retrenchment of the welfare state – all important contributors to household food insecurity and key concerns of the corporate and business community – are for the most part absent from these civil society organizations’ reports, documents and statements. We specify the implications these developments have for addressing household food insecurity and the inequitable distribution of other social determinants of health.

Exploring the Food (In)Security Status of Suburban Households and Its Determinants during COVID-19

Household food insecurity in South African suburban low-income households is a major challenge. Research outcomes that will inform decisions on effective solutions towards reducing household food insecurity in South Africa are essential. The purpose of this study was firstly to determine the food security status of households and the skills of household members in Ward 60 of the Nelson Mandela Bay Municipality in the Eastern Cape Province in South Africa. Secondly, it was also to determine the association between the socioeconomic and demographic variables of the households and their level of food (in-)security. The study employed a mixed method of both qualitative and quantitative methodologies, comprising a qualitative Community-Based Participatory Action Research (CBPAR) methodology and a quantitative household food security survey methodology. A household food security survey was employed using a questionnaire that was based on the Household Food Insecurity Access Scale (HFIAS). The questionnaire was used to collect data from 170 randomly selected households. The data analysis used the HFIAS score and logistic regression analysis. The results show 6.1% of households as food secure, 3.05% as mildly food insecure, 13.4% as moderately food insecure, and 77.4% as severely food insecure. The results also show that a significant unemployment rate, a reliance on social grants, and absence of income seriously impact the extent of household food insecurity. The results show a significant association between the household food security and the variables of unemployment, income, and gender. The regression analysis results suggest that gender, household size, age, employment, and household income influence household food security. The results of the household skills show that the households had a variety of skills. These results can help to inform decisions by the government, local municipalities, NGOs, and other stakeholders towards designing effective solutions for enhancing household food security.

Hunger and Health: Reexamining the Impact of Household Food Insecurity on Child Malnutrition in India

Child malnutrition is remarkably high in India. The problem of food insecurity is also extremely alarming in the country. From a policy perspective, a question of paramount importance in this context is: are these two problems inter-related? Answering this question based on existing literature is difficult. This is because literature examining specifically the effect of food insecurity on child / adolescent malnutrition in India is scarce. Besides, the small number of studies that do examine this question empirically find mixed evidence. In light of this, here we reexamine the effect of food insecurity on child malnutrition using data from the Young Lives survey. Employing several contemporary econometric approaches, we not only estimate the mean effect but also the distributional effects of food insecurity on child malnutrition. We find evidence of sizeable negative average effects of food insecurity on children’s anthropometric indices for nutrition surveillance including weight-for-age z score (WAZ) and height-for-age z-score (HAZ). Further, we document important heterogeneity in the effect of food insecurity on children’s WAZ and HAZ across the outcome-distributions. Our results suggest that expansion of policies that could effectively reduce household food insecurity is vital to address the problem of malnutrition among Indian children.

Feasibility of Food FARMacia: Mobile Food Pantry to Reduce Household Food Insecurity in Pediatric Primary Care.

Despite recommendations for systematic food insecurity screening in pediatric primary care, feasible interventions in clinical settings are lacking. The goal of this study was to examine reach, feasibility, and retention in Food FARMacia, a pilot clinically based food insecurity intervention among children aged <6 years. We examined electronic health record data to assess reach and performed a prospective, longitudinal study of families in Food FARMacia (May 2019 to January 2020) to examine attendance and retention. We used descriptive statistics and bivariate analyses to assess outcomes. Among 650 pediatric patients, 172 reported household food insecurity and 50 registered for Food FARMacia (child mean age 22 ± 18 months; 88% Hispanic/Latino). Demographic characteristics of Food FARMacia participants were similar to those of the target group. Median attendance rate was 75% (10 sessions) and retention in both the study and program was 68%. Older child age (retention: age 26.7 ± 18.7 months vs. attrition: age 12.1 ± 13.8 months, p = 0.01), Hispanic/Latino ethnicity (retention: 97% vs. attrition: 69%, p < 0.01), and larger household size (retention: 4.5 ± 1.1 vs. attrition: 3.7 ± 1.4, p = 0.04) correlated with retention. A clinically based mobile food pantry pilot program and study reached the target population and were feasible.

Association between food insecurity and perceived stress among older adults (50+) in six low- and middle-income countries

Objectives In this study, we assess the relationship between food insecurity andperceived stress among older adults (50+) in six low- and middle-income countries of China, Ghana, India, Mexico, Russia and, South Africa. Methods Cross-sectional comparative analysis was conducted using nationally representative data from the WHO’s Study on global AGEing and adult health survey. Bivariate and multivariate regression analyses examine if food insecurity was associated with perceived stress. We also examined the mediating role of health conditions on the association between food insecurity and perceived stress. Results Across countries, the mean perceived stress score was higher among the older population with food insecurity. Regression analysis showed significant and positive association between food insecurity and perceived stress. Findings from the pooled data of six countries showed, older adults who experienced severe food insecurity (β = 4.05, p < .001) had higher perceived stress scores. The association was statistically significant in India, Russia, South Africa, and Ghana. Conclusion Food insecurity showed significant adverse impact on perceived stress among the older population in low- and middle-income countries. Policy measures to reduce household food insecurity are important for improving both mental and physical health conditions of the growing older population in low- and middle-income countries.

Factors that influence household food security in Hamburg and Melani, Eastern Cape, South Africa

Food is one of the essential areas of service delivery required for a household’s wellbeing and development. Against this background, the literature suggests a high level of food insecurity among rural households in South Africa. Thus far, this study has investigated drivers of household-level food insecurity. Data were collected from 283 randomly selected respondents from Melani and Hamburg communities using a structured questionnaire. An ordered logit regression model was used to investigate drivers of household food insecurity. Descriptive statistics results revealed that most of the respondents from the study areas were food secure to mildly food secure (Melani-inland −73%; Hamburg-coastal −77.5%). The findings suggest that overall, the two communities were food secure. Econometrics results further revealed that factors like gender, household size, energy security, access to credit, farming, land ownership, and being able to afford to pay for water influence food insecurity of households in Melani and Hamburg. Therefore, to reduce household food insecurity, the study recommends that priority should be given to these socio-economic and institutional factors. This could be through improving gender and cultural policies which restrict women from generating income, training households about credit usage, and family planning to limit household sizes.

Undernutrition among Pregnant Women in Rural Communities in Southern Ethiopia.

BackgroundMaternal undernutrition rates in Ethiopia are among the highest in the world. In addition, a huge inequity exists within the country, with pregnant women in rural communities being at increased risk. This study assessed the prevalence of undernutrition and its associated factors among pregnant women in a rural community in southern Ethiopia.MethodsA community-based cross-sectional study was conducted among 376 randomly selected pregnant women. Data were collected through face-to-face interview followed by mid–upper arm circumference measurement. Household food insecurity and minimum dietary diversity for women were assessed. Data were entered into EpiData 3.1 and exported to SPSS 20 for analysis. Logistic regression models were fitted to check associations between independent variables and undernutrition. Statistical significance was set at p<0.05.ResultsThe prevalence of undernutrition was 41.2% (95% CI 36.3%–46.3%). Unintended pregnancy (AOR 2.06, 95% CI 1.27–3.36) and not participating in Wome's Health Development Army meetings (AOR 3.64, 95% CI 1.51–8.77) were independent predictors of undernutrition. However, minimum dietary diversity for women of five or more food groups (AOR 0.24, 95% CI 0.07–0.82), having at least one antenatal care visit (AOR 0.46, 95% CI 0.27–0.78), age at first pregnancy ≥20 years (AOR 0.39, 95% CI 0.21–0.76), and being from food-secure households (AOR 0.26, 95% CI 0.16–0.43) were independent protective factors against undernutrition.ConclusionUndernutrition among pregnant women was highly prevalent in the study area. Interventions aiming to reduce undernutrition should focus on discouraging teenage and unintended pregnancy, reducing household food insecurity, and promoting antenatal care visits and encouraging consumption of diversified diets by women. Strengthening the existing network of the Women’s Health Development Army seems to be very important.

PROCOMIDA, a Food-Assisted Maternal and Child Health and Nutrition Program, Contributes to Postpartum Weight Retention in Guatemala: A Cluster-Randomized Controlled Intervention Trial

ABSTRACTBackgroundFood-assisted maternal and child health and nutrition (FA-MCHN) programs are widely used to reduce household food insecurity and maternal and child undernutrition in low- and middle-income countries. These programs, however, may unintentionally lead to excessive energy intake and unhealthy weight gain, especially in food-secure populations.ObjectiveWe evaluated the impact of an FA-MCHN program implemented in Guatemala on maternal weight from pregnancy to 24 mo postpartum. The program was earlier shown to reduce stunting.MethodsWe used a longitudinal, cluster-randomized controlled trial with arms varying in family ration size [full (FFR), reduced (RFR), none (NFR)] and individual maternal ration type [corn–soy blend (CSB), lipid-based nutrient supplement (LNS), micronutrient powder (MNP)]: A: FFR + CSB; B: RFR + CSB; C: NFR + CSB; D: FFR + LNS; E: FFR + MNP; F: control. Weight was measured during pregnancy and at 1, 4, 6, 9, 12, 18, and 24 mo postpartum. We used linear mixed models controlling for pregnancy weight with random cluster and mother effects. Data on 3535 women were analyzed.ResultsSignificant (P < 0.05) or marginally significant (P < 0.10) effects of 0.50–0.65 kg were found at all time points (except 9 mo) in arm A. Similar-sized effects were found in arms B (1, 4, 6, and 12 mo) and C (1 and 12 mo). Marginally significant effects (0.51–0.66 kg) were found in arm D (1, 6, 9, and 12 mo); in arm E, marginally significant effects (0.48–0.75 kg) were found from 6 to 24 mo.ConclusionsThe effect on maternal postpartum weight is of concern because of the high existing prevalence of overweight. Programs need to include “double-duty” objectives and actions, to ensure that addressing child undernutrition does not exacerbate the problem of unhealthy weight gain. This trial was registered at clinicaltrials.gov as NCT01072279.

Household Food Insecurity, Dietary Diversity, Stunting, and Anaemia among Left-Behind Children in Poor Rural Areas of China.

Left-behind children (LBC) are a newly emerged social group in China. Poor nutritional status is particularly prominent in this population. However, their food insecurity tends to attract very little attention. This study aims to investigate the relationship between food insecurity and undernutrition (stunting and anaemia) in 3 to 5-year-old LBC in rural China. Face-to-face interviews were administered to 553 LBC caregivers in 40 rural villages of Hunan Province, China. The Household Food Insecurity Access Scale (HFIAS) was used to assess household food insecurity (HFI). Dietary diversity score (DDS) and food group consumption frequency were measured by 24 h-recall and food frequency questionnaires (FFQ). Hemoglobin tests and anthropometric measurements including height and weight were measured by trained health professionals. Logistic regression was constructed to assess the association between household food insecurity and dietary diversity, stunting, and anaemia. A high prevalence of household food insecurity was determined (67.6%). The weighted prevalence of stunting and anaemia were 16.6% and 26.5%, respectively. Food insecurity was positively associate with LBC stunting (severe HFI: OR = 6.50, 95% CI: 2.81, 15.00; moderate HFI: OR = 3.47, 95% CI: 1.60, 7.54), and anaemia (severe HFI: OR = 1.91, 95% CI: 1.02, 3.57). LBC with food insecurity had significantly lower dietary diversity than those who were food-secure (p < 0.001). The prevalence of household food insecurity among LBC in poor rural China is high and is associated with low DDS, stunting, and anaemia. Nutritional intervention programs and policies are urgently needed to reduce household food insecurity and undernutrition for this vulnerable population.

Food insecurity and social determinants of students’ low adherence to the Mediterranean diet

Abstract Background Despite the fact that the Meditteranean diet is highly beneficiary for people’s health, there are many factors which cause disparities in the level of adherence. The aim of the present work was to investigate the effect of household food insecurity (FI) on adherence to the Mediterranean diet (AMD), to explore the participants’ characteristics modifying the studied relationship and find the social determinants of students’ low adherence to the specific dietary pattern. Methods A cross-sectional study with 140 schools and 4,242 students was conducted in Greece (2017-2018). Especially designed and validated instruments were used to record students’ sociodemographic characteristics, household’s FI status and students’ AMD. Analysis of Variance (ANOVA) and Covariance (ANCOVA) was used to investigate the effect of FI and to identify the significant social determinants of students’ AMD, according to students’ school grade. Results After adjusting for other characteristics, students whose both parents are born in other countries, spend at most 4 hours/week on TV/electronic games, live in the regions of Peloponnese, Central Macedonia or Attica and attend primary schools adhere more to the Mediterranean diet, while higher level of physical activity and lower FI are significantly associated with better AMD. Parents’ educational level in nursery schools (p = 0.002) and employment status in nursery schools (p = 0.012) and in high schools/ lyceums (p = 0.008) were found to modify significantly the studied relationship in the univariate analysis, while school grade (p = 0.013) and physical activity (p = 0.088) were found to modify the studied relationship in the multivariable analysis. Conclusions Several demographic, socioeconomic and lifestyle characteristics were significantly associated with students’ AMD. Thus, emphasis should be given on the design of special programs to reduce household FI and intervene in the rest characteristics. Key messages Researchers and policymakers should consider food insecurity as important risk factor for school-aged children, particularly for those who live in poverty. Emphasis should be given on the design of special low-cost programs aiming to reduce food insecurity.

Food Insecurity and Child Health

Food insecurity is an important public health problem facing children in the United States. Although a number of previous studies suggest that food insecurity has negative impacts on health, these studies have not dealt thoroughly with issues of selection bias. We use propensity scoring techniques to approximate the causal effects of food insecurity on children's health and health care use outcomes. We use nationally representative data from the 2013-2016 waves of the National Health Interview Study (N = 29 341). Using inverse probability of treatment weighting, a propensity scoring method, we examine a broad range of child health outcomes and account for a comprehensive set of controls, focusing on a sample of children 2 to 17 years old. Household food insecurity was related to significantly worse general health, some acute and chronic health problems, and worse health care access, including forgone care and heightened emergency department use, for children. Compared to rates had they not been food insecure, children in food-insecure household had rates of lifetime asthma diagnosis and depressive symptoms that were 19.1% and 27.9% higher, rates of foregone medical care that were 179.8% higher, and rates of emergency department use that were 25.9% higher. No significant differences emerged for most communicable diseases, such as ear infections or chicken pox, or conditions that may develop more gradually, including anemia and diabetes. Policies used to reduce household food insecurity among children may also reduce children's chronic and acute health problems and health care needs.

Food Insecurity and Child Health

Objectives: Food insecurity is an important public health problem facing children in the United States. While a number of previous studies suggest that food insecurity has negative impacts on health, these studies have not dealt carefully with issues of selection bias. We use propensity scoring techniques to approximate the causal effects of food insecurity on children’s health and health care use outcomes. Methods: We use nationally representative data from the 2013-2016 waves of the National Health Interview Study (NHIS; N = 29,341). Using an inverse probability of treatment weighting (IPTW), a propensity scoring method, we examine a broad range of child health outcomes and account for a comprehensive set of controls, focusing on a sample of children 2 to 17 years old. Results: Household food insecurity was related to significantly worse general health, some acute and chronic health problems, and worse health care access, including forgone care and heightened emergency department use, for children. Compared to rates had they not been food insecure, children in food-insecure household had rates of lifetime asthma diagnosis and depressive symptoms that were 19.1% and 27.9% higher; rates of foregone medical care that were 179.8% higher; and rates of emergency department use that were 25.9% higher. No significant differences emerged for most communicable diseases, such as ear infections or chickenpox, or conditions that may develop more gradually, including anemia and diabetes. Conclusion: Policies that reduce household food insecurity among children may also reduce children’s chronic and acute health problems and health care needs.

Associations between poverty, mental health and substance use, gender power, and intimate partner violence amongst young (18-30) women and men in urban informal settlements in South Africa: A cross-sectional study and structural equation model.

Research suggests that poverty is a key driver of intimate partner violence (IPV), however detailed analysis suggests that this relationship is not clear, either for women’s experience or men’s perpetration of IPV. We explored associations between poverty and IPV using cross-sectional data from the Stepping Stones and Creating Futures cluster randomized control trial, in urban informal settlements in Durban, South Africa, with young (18–30) people. Using logistic regression and structural equation modelling we assess associations between poverty and women’s experience and men’s perpetration of physical and/or sexual IPV in the past 12 months. 680 women and 677 men were recruited into the study between September 2015 and September 2016. The analyses highlight how specific forms or measures of poverty intersecting with gender identities shape IPV. For men we found indicators of economic provision were associated with IPV perpetration, while for women food-insecurity was key to IPV experience. We also found similarities between women and men. First, food-insecurity and childhood traumas shaped pathways to substance misuse and poor mental health that increased IPV. Second, there was a resilience pathway in both models, whereby those with more education had increased gender equitable attitudes and fewer controlling behaviours, which reduced IPV. Interventions to reduce IPV need to work to reduce household food insecurity, but these need to be combined with gender transformative interventions. Interventions should also focus on reducing the impact of mental health and substance misuse. Finally, working to increase educational attainment is a long-term critical intervention to reduce IPV.Trial registration: NCT03022370. Registered 13 January 2017, retrospectively registered.