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Methods Collections

Innovative methods of dietary assessment and analysis

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Methods Collections
Innovative methods of dietary assessment and analysis

Guest Editors
Sharon Kirkpatrick, PhD, RD

Associate Professor

Understanding people’s eating patterns—including what they eat and drink and the contextual...

Walter C. Willett, MD, DrPH

Professor of Epidemiology and Nutrition at Harvard T.H. Chan School of Public Health

Dr. Willett studied food science at Michigan State University, and graduated from the University of Michigan Medical...

Teresa Fung, ScD, RD

Professor of Nutrition at Simmons University

Teresa Fung received her BS and MS in nutrition from Cornell University, and her ScD in both nutrition and epidemiology...

Sabri Bromage

Research Fellow

Dr. Bromage’s research has focused on nutritional epidemiology in low- and middle-income countries, with emphasis...

Collection Overview

Methods for assessing and analyzing human diets are often costly, laborious, and require special training. As a result, most countries do not regularly conduct diet surveys; only 36% of surveys are nationally-representative, and only 38% include pregnant and nursing women. Furthermore, less than half of countries have national food composition data, much of which are outdated. Poor diets are the leading cause of death globally, and a lack of quality data poses a challenge to evidence-based efforts for improving diets, particularly in low- and middle-income countries where research infrastructure is often limited, and where 84% of diet-related deaths occur. This collection will describe novel methods, tools, and datasets that facilitate assessment and analysis of diet and food consumption. Articles describing economical methods that may be used in or applied to limited-resource settings are encouraged.

Articles may describe:

1. How innovative dietary assessment methods, instruments, or technologies may be developed, validated, taught, collected, or integrated in existing platforms,

2. Application of novel software or statistical methods for: compilation or use of food composition data, analysis of diet quality or diet patterns, prediction of food or nutrient intake, the translation of dietary data to the formulation of empirical strategies, or guidance for improving diet and nutrition, or

3. Methods for applying nonconventional datasets (e.g. household consumption and expenditure, food balance, commercial datasets, geospatial data, or agriculture and other food systems data) to the analysis of diet, diet quality, and food security


Concept development and validation of an automated dietary and eating behaviour assessment method

Marlou Lasschuijt*1, Guido Camps*2
1Wageningen University, Division of Human Nutrition and Health., 2Wageningen University, Division of Human Nutrition and Health

Development of an innovative smartphone-based dietary assessment tool

Desiree Lucassen*1, Elske Brouwer-Brolsma1, Edith Feskens1
1Division of Human Nutrition and Health, Wageningen University

Gender considerations for dietary assessment

Hee Young Paik*1
1Center for Gendered Innovations for Science and Technology Research

VioScreen incorporates a unique graphical Food Frequency Questionnaire methodology that uses over 1,200 portion size images for improved accuracy

Rick Weiss*1
1Viocare, Inc.

Ecological momentary assessments for the evaluation of the adherence to the Mediterranean Diet on a continuous manner

Anna Boronat*1, Eduard Otero2, Joima Panisello2, Helmut Schröder1, Rafael de la Torre*1
1Hospital del Mar Medical Research Institute, 2Medtep

Deep Neural Networks for Image-Based Dietary Assessment

Simon Mezgec*1, Barbara Koroušić Seljak2
1Jožef Stefan International Postgraduate School, Jamova cesta 39, 1000 Ljubljana, Slovenia, 2Computer Systems Department, Jožef Stefan Institute, Jamova cesta 39, 1000 Ljubljana, Slovenia

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