Indian Diet Data

Learning Network on Indian Diet Data

Adequate dietary intake assessment is important not only in the study of associations between diet and health-related outcomes, but also for nutritional surveillance and gathering information for evidence-based nutrition policy planning. However, India continues to experience persistent diet data gaps. We do not know what people in India are eating. Since we do not know India’s dietary consumption patterns, it is difficult to address malnutrition, obesity, diabetes, and other health complications.

To address the gap created by the absence of such critical data, Anuvaad is building a LEARNING NETWORK ON INDIAN DIET DATA. The aim of the Learning Network is to provide a convening platform for lateral sharing of knowledge on Indian Diet Data between different development partners and academia, aimed at improving understanding and uptake of diet data by decision-makers to inform nutrition interventions, particularly under Poshan 2.0.

Key objectives of this learning network :

Build consensus and harmonize the diet data ecosystem.
Improve institutional capacity within the MoWCD for data-informed decision-making in the context of India’s dietary patterns.
Identify strengths and limitations of Indian diet data.
Develop realistic strategies to fill any gaps, through improved primary data collection.
Leverage tools of data science and modelling, to generate programmatically meaningful insights for diet-based interventions under Poshan 2.0

Click here to join our “Learning Network on Indian Diet Data” and get all recent updates related to Indian diet consumption data.