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Governments and development partners looking to accelerate progress in addressing malnutrition have been examining how to use interventions in value-chains to improve diets. However, the links between interventions in value chains and diets involve a range of direct and indirect effects that are not yet well understood. We apply a mixed-method multisectoral diagnostic to examine potential interventions in food systems to improve diets of smallholder farmers in Malawi. We examine entry points for interventions involving public and private-sectors, and explore the methodological requirements for undertaking this type of multisectoral analysis. We find that although food consumption is dominated by maize, a range of nutritious foods are also being consumed; including leafy greens, fruits, chicken, dried fish, dried beans and peas, and groundnuts. Yet important deficits in nutrient intake remain prevalent in low-income households due to inadequate quantity of consumption. While increasing consumption through own-production is one potentially important channel to increase quantity of nutritious foods available (particularly fruits and leafy green vegetables), markets also play a potentially important role. Nutritious foods are available on markets year-round, although strong seasonality impacts the availability and price of perishable products. For beans, peas and groundnuts, supply appears to be available throughout the year, with price fluctuations relatively controlled due to storage capacity and imports. The capacity of markets to supply safe and nutritious food is limited by a number of issues, including poor hygiene; lack of infrastructure for storage and selling; limited information on nutrition, and weak coordination among sellers and producers. Other bottlenecks include: on-farm constraints for expanded production, consumers with limited purchasing capacity, intense competition among sellers and few services for sellers to increase volume of product sold during peak demand. The diagnostics identify the role of information-related interventions to optimize decisions related to food choices, involving a range of different foods and value-chains, that could potentially lead to short- and medium-term improvements in diets. Longer-term and more resource-intensive interventions are also identified, such as improving capacity for product differentiation, processing, storage, and market infrastructure across a different range of food chains, so as to maximise coherence between short- and long-term planning. The findings highlight the benefits of applying a strategic, food systems-based approach of identifying specific and complementary actions for both the public and private sectors that can improve the diets of low-income populations.

Background: Little is known about women who have experienced a recent rape, and how they differ from women without this exposure. Identifying factors linked to rape is important for preventing rape and developing effective responses in countries like South Africa with high levels of sexual violence. Objective: To describe the socio-demographic and health profile of women recently exposed to rape and to compare them with a non-rape-exposed group. Methods: The Rape Impact Cohort Evaluation Study (RICE) enrolled 852 women age 16–40 years exposed to rape from post-rape care centres in Durban (South Africa) and a control group of 853 women of the same age range who have never been exposed to rape recruited from public health services. Descriptive analyses include logistic regression modelling of socio-demographic characteristics associated with recent rape exposure. Results: Women with recent rape reported poorer health and more intimate partner violence than those who were not raped. They had a lower likelihood of having completed school (Odds Ratio [OR] 0.46 95% Confidence Interval (CI): 0.24–0.87) and dependence on a government grant as a main source of income (OR 0.61: 95%CI 0.49–0.77). They were more likely to live in informal housing (OR 1.88 95%CI: 1.43–2.46) or rural areas (OR 2.24: 95%CI 1.61–3.07) than formal housing areas–however they were also more likely to report full-time employment (OR 4.24: 95%CI 2.73–6.57). Conclusion: The study shows that structural factors, such as lower levels of education, poverty, and living in areas of poor infrastructure are associated with women's vulnerability to rape. It also shows possible protection from rape afforded by the national financial safety net. It highlights the importance of safe transportation in commuting to work. Preventing rape is critical for enabling women's full social and economic development, and structural interventions are key for reducing women's vulnerability.