Data-Driven Insights and Analytics for Measurable Sustainable Development Goals, 2025, Pages 37-58
This chapter aligns well with the SDGs—primarily SDG 2 (Zero Hunger) and SDG 3 (Good Health and Well‑Being), while also supporting SDG 5 (Gender Equality) and SDG 10 (Reduced Inequalities). By using NFHS‑5 data on women 15–49, the study directly addresses indicator 2.2.2 (anemia prevalence) and provides NCD risk‑factor evidence relevant to SDG 3.4. The clear geographic and socioeconomic disparities you report underline the need for context‑specific, equity‑focused interventions and state‑level monitoring. To strengthen SDG relevance, map each outcome to specific SDG targets/indicators, use survey‑adjusted estimates, and propose measurable, region‑tailored actions for tracking progress.
This paper reviews and compares four leading healthy diet metrics: GDQS, GDR score, MDD-W, and Nova UPF score, for their accuracy, ease of use, and global applicability in monitoring dietary quality. The findings highlight that the Minimum Dietary Diversity for Women (MDD-W) offers the strongest predictive accuracy for nutrient adequacy using a simple, scalable method, while also emphasizing the need for further research on metrics assessing moderation and cross-country comparability.
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