To investigate if food security mediated the impact of a nutrition-sensitive agroecology intervention on women’s depressive symptoms.

We used annual longitudinal data (four time points) from a cluster-randomised effectiveness trial of a participatory nutrition-sensitive agroecology intervention, the Singida Nutrition and Agroecology Project. Structural equation modelling estimation of total, natural direct and natural indirect effects was used to investigate food security’s role in the intervention’s impact on women’s risk of probable depression (Center for Epidemiologic Studies Depression Scale > 17) across 3 years.

Rural Singida, Tanzania.

548 food insecure, married, smallholder women farmers with children < 1 year old at baseline.

At baseline, one-third of the women in each group had probable depression (Control: 32·0 %, Intervention: 31·9 %, P difference = 0·97). The intervention lowered the odds of probable depression by 43 % (OR = 0·57, 95 % CI: 0·43, 0·70). Differences in food insecurity explained approximately 10 percentage points of the effects of the intervention on odds of probable depression (OR = 0·90, 95 % CI: 0·83, 0·95).

This is the first evidence of the strong, positive effect that lowering food insecurity has on reducing women’s depressive symptoms. Nutrition-sensitive agricultural interventions can have broader impacts than previously demonstrated, i.e. improvements in mental health; changes in food security play an important causal role in this pathway. As such, these data suggest participatory nutrition-sensitive agroecology interventions have the potential to be an accessible method of improving women’s well-being in farming communities.

Child undernutrition remains one of the greatest challenges for public health nutrition in rural areas in developing countries. Interventions aiming to increase and conserve agrobiodiversity seem to be promising alternatives to improve child nutrition. However, the existing literature on these interventions is not conclusive about their effectiveness in combating child undernutrition. We tested the hypothesis that ‘higher agrobiodiversity is associated with greater dietary diversity and better anthropometric status’ in rural Guatemala.

In the summer of 2016, we conducted a cross-sectional study with a sample of 154 children (6–60 months). We conducted dietary recalls and structured interviews, measured children’s weight and height, and visited food production systems (Milpas, home gardens, coffee plantations). Crop species richness, nutritional functional diversity, dietary diversity scores and anthropometric status were calculated.

Higher food self-sufficiency, nutritional functional diversity and dietary diversity scores were positively correlated with higher crop and animal species richness. Contrarily, remoteness to the local market was negatively correlated with dietary diversity scores. However, higher dietary diversity scores were not correlated with better child anthropometric status. Better child anthropometric status was positively correlated with improved sanitary conditions and maternal education; and negatively correlated with large household size and frequent child morbidity.

Agricultural diversification could diversify diets, increase nutrient availability and improve child anthropometry. However, these interventions need to be accompanied by sanitation improvements, family planning, nutritional education and women’s empowerment to strengthen their positive effect on diet and nutrition.

The association between farm production diversity and dietary diversity in rural smallholder households was recently analysed. Most existing studies build on household-level dietary diversity indicators calculated from 7d food consumption recalls. Herein, this association is revisited with individual-level 24 h recall data. The robustness of the results is tested by comparing household- and individual-level estimates. The role of other factors that may influence dietary diversity, such as market access and agricultural technology, is also analysed.

A survey of smallholder farm households was carried out in Malawi in 2014. Dietary diversity scores are calculated from 24 h recall data. Production diversity scores are calculated from farm production data covering a period of 12 months. Individual- and household-level regression models are developed and estimated.

Data were collected in sixteen districts of central and southern Malawi.

Smallholder farm households (n 408), young children (n 519) and mothers (n 408).

Farm production diversity is positively associated with dietary diversity. However, the estimated effects are small. Access to markets for buying food and selling farm produce and use of chemical fertilizers are shown to be more important for dietary diversity than diverse farm production. Results with household- and individual-level dietary data are very similar.

Further increasing production diversity may not be the most effective strategy to improve diets in smallholder farm households. Improving access to markets, productivity-enhancing inputs and technologies seems to be more promising.