Learning Lab: Collecting and Analyzing Dietary Data Using a 5-minute Survey Module (DQQ), and Accessing and Using National Data from 85 countries

byANH Academy

Academy Week Learning Lab

| Agriculture, Food Systems, Nutrition, Public Health, Social Sciences

Date and Time

From: 18 June 2024, 15:30

To: 18 June 2024, 17:30

BST British Summer Time GMT+1:00

Location

Online

Open Full Event ANH2024 Learning Lab_ Collecting and Analyzing Dietary Data Using a 5-minute Survey Module (DQQ), and Accessing and Using National Data from 85 countries

ANH2024 Learning Lab_ Collecting and Analyzing Dietary Data Using a 5-minute Survey Module (DQQ), and Accessing and Using National Data from 85 countries

Times of this event are in BST (UTC + 1)

Level: Basic

Description:

Improved diet quality is one of the primary ways agriculture and food systems can affect nutrition. Yet we have been missing current, representative data on diets, as well as low-burden tools to collect diet data. This session introduces participants to the new data collected for 85 countries in the first ever global survey of diet quality, carried out in the Gallup World Poll from 2021-2024 and available at dietquality.org. These data have been collected using the diet quality questionnaire (DQQ), designed to capture information on nutrient adequacy, healthy and unhealthy food consumption, with a minimal amount of time (5 minutes) and nutrition expertise (none required). We will practice using the DQQ and calculating indicators of diet quality (such as the MDD-W), using standardized DQQs that have been adapted, translated, and are ready to use for 130 countries, available at dietquality.org.

Preparation materials

Visit https://www.dietquality.org/

Additional materials:

Herforth A., Vogliano C., Sokourenko K, Gonzalez C, Uyar, B. 2023. A Standardized Method for Collecting Valid and Consistent Data for Minimum Dietary Diversity for Women (MDD-W), an Indicator of Micronutrient Adequacy. Poster presented at Micronutrient Forum Oct 2023.

Global Diet Quality Project. 2022. Measuring what the world eats: Insights from a new approach. Geneva: Global Alliance for Improved Nutrition (GAIN); Boston, MA: Harvard T.H. Chan School of Public Health, Department of Global Health and Population. https://doi.org/10.36072/dqq2022

Uyar, B.T., Talsma, E.F., Herforth, A.W., Trijsburg, L.E., Vogliano, C., Pastori, G., Bekele, T.H. and Brouwer, I.D. 2023. The DQQ is a Valid Tool to Collect Population-Level Food Group Consumption Data: A Study Among Women in Ethiopia, Vietnam, and Solomon Islands. The Journal of Nutrition, 153(1), pp.340-351. https://doi.org/10.1016/j.tjnut.2022.12.014

Ma, S., Herforth, A.W., Vogliano, C. and Zou, Z., 2022. Most Commonly-Consumed Food Items by Food Group, and by Province, in China: Implications for Diet Quality Monitoring. Nutrients, 14(9), p.1754. https://doi.org/10.3390/nu14091754

Herforth, A.W., Wiesmann, D., Martínez-Steele, E., Andrade, G. and Monteiro, C.A. (2020). Introducing a Suite of Low-Burden Diet Quality Indicators That Reflect Healthy Diet Patterns at Population Level. Current Developments in Nutrition, 4(12), p.nzaa168 https://doi.org/10.1093/cdn/nzaa168