Learning Network on Indian Diet Data

Building resilient food systems

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Shorter supply chains

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Dietary diversification

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Targeted food fortification

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Improved health outcomes

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Generation of local livelihoods

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Rural development

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Ecological sustainability

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Context

Assessment of adequate dietary intake is important not only to study associations between diet and health-related outcomes, but also for nutritional surveillance and gathering information for evidence-based nutrition policy planning. The latest public data on ‘What India Eats’ is over a decade old and comes from the National Sample Survey Organization’s Household Consumption and Expenditure Survey, conducted in 2011-2012.

There is growing recognition of the need for more granular estimates of diet – disaggregated by age, gender, geography, and socioeconomic status. While many research studies have collected individual diet data across India, most often using 24-hour dietary recalls, there is no compilation of these studies.

Anuvaad’s Learning Network on Indian Diet Data

To address the gap created by the absence of critical dietary data, Anuvaad has initiated 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 with the following key objectives:

Introduce Anuvaad’s Indian Diet Data platform.
Build consensus and harmonize the diet data ecosystem.
Identify the strengths and limitations of Indian diet data, and in cases where there are gaps, to develop realistic strategies to fill these through improved primary data collection.
Promote the use of Indian diet data in answering questions related to policy and programme needs.
Continuously update the Indian Diet Data Portal by encouraging stakeholders to share information on new datasets.
Leveraging tools of data science and modelling to generate programmatically meaningful insights for diet-based interventions under Poshan 2.0.

In addition to this, Anuvaad has also created a questionnaire to collect information on existing individual diet data, which would be shared with development partners, experts, academics, researchers etc. Link to the questionnaire