Journal
OBESITY REVIEWS
Volume 14, Issue -, Pages 135-149Publisher
WILEY
DOI: 10.1111/obr.12082
Keywords
Diet quality; INFORMAS; monitoring; ultra-processed foods
Categories
Funding
- Rockefeller Foundation
- International Obesity Taskforce (IOTF)
- University of Auckland
- Deakin University
- George Institute, University of Sydney
- Queensland University of Technology
- University of Oxford
- University of Pennsylvania Perelman School of Medicine
- World Cancer Research Fund International
- University of Toronto
- Australian National University
- Faculty of Health at Deakin University
Ask authors/readers for more resources
INFORMAS (International Network for Food and Obesity/non-communicable diseases Research, Monitoring and Action Support) aims to monitor and benchmark the healthiness of food environments globally. In order to assess the impact of food environments on population diets, it is necessary to monitor population diet quality between countries and over time. This paper reviews existing data sources suitable for monitoring population diet quality, and assesses their strengths and limitations. A step-wise framework is then proposed for monitoring population diet quality. Food balance sheets (FBaS), household budget and expenditure surveys (HBES) and food intake surveys are all suitable methods for assessing population diet quality. In the proposed minimal' approach, national trends of food and energy availability can be explored using FBaS. In the expanded' and optimal' approaches, the dietary share of ultra-processed products is measured as an indicator of energy-dense, nutrient-poor diets using HBES and food intake surveys, respectively. In addition, it is proposed that pre-defined diet quality indices are used to score diets, and some of those have been designed for application within all three monitoring approaches. However, in order to enhance the value of global efforts to monitor diet quality, data collection methods and diet quality indicators need further development work.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available