Can nutrition-sensitive agriculture interventions address intersectional inequalities in women’s diets? A mediation analysis using cross-sectional trial data from Odisha, India

Emily Fivian ORCID logo ; Helen Harris-Fry ORCID logo ; Bhavani Shankar ; Ronali Pradhan ; Satyanarayan Mohanty ; Shibanath Padhan ; Audrey Prost ; Manoj Parida ; Naba K Mishra ; Shibanand Rath ; +3 more... Suchitra Rath ; Elizabeth Allen ORCID logo ; Suneetha Kadiyala ; (2025) Can nutrition-sensitive agriculture interventions address intersectional inequalities in women’s diets? A mediation analysis using cross-sectional trial data from Odisha, India. The American journal of clinical nutrition. S0002-9165(25)00315. ISSN 0002-9165 DOI: 10.1016/j.ajcnut.2025.05.027 (In Press)
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Background: Improving nutrition for all requires understanding how interventions influence nutrition inequalities within society. Intersectionality, which considers how multiple disadvantages intersect, may offer more precise insight into the equity of these interventions.

Objectives: Using an intersectionality-informed approach and mediation with exposure-mediator interaction, we investigated how participation in nutrition-sensitive agriculture interventions tested in the UPAVAN trial affected inequalities in women's diets in Odisha, India.

Methods: We analyzed cross-sectional endline data from 3294 mothers of children aged 0-23 months in 111 UPAVAN intervention villages. We estimated dietary inequalities as excess relative risk of minimum dietary diversity (MDD-W) according to scheduled tribe (ST) identity (ST or non-ST), education (≥5, <5 y), or wealth (higher, lower) and comparing intersectional groups that combine ST/non-ST with education or wealth group. We used a 4-way decomposition to estimate whether these MDD-W inequalities were affected by social group differences in intervention participation rates (mediation only), participation benefits (interaction only), or both combined (mediated interaction).

Results: Intervention participation and MDD-W were greater among the more advantaged groups of non-ST, higher education, or higher wealth. Often, the more disadvantaged groups had greater participation benefits (interaction only), which narrowed MDD-W inequalities. However, intersectional groups with 2 disadvantaged characteristics (e.g., poorer ST) had smaller participation benefits than those with 1 characteristic (e.g., wealthier ST), which widened MDD-W inequalities. Differences in participation rates had negligible effects on MDD-W inequalities. Often, any marginal widening of MDD-W inequalities due to disadvantaged groups participating less (mediation only) was suppressed by their greater participation benefits (mediated interaction).

Conclusions: To our knowledge, this is the first intersectionality-informed analysis of nutrition interventions. UPAVAN interventions mostly has equitable impacts, reducing several inequalities in maternal diet quality. We demonstrate how intersectionality-informed analyses can help identify inequities in nutrition interventions and inform the design of inclusive interventions that reach and benefit the most marginalized groups.

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