Development and validation of a new methodological platform to measure behavioral, cognitive, and physiological responses to food interventions in real time

M A Vargas-Alvarez, H Al-Sehaim, J M Brunstrom, G Castelnuovo, S Navas-Carretero, J A Martínez, E Almiron-Roig*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

4 Citations (Scopus)
142 Downloads (Pure)

Abstract

To fully understand the causes and mechanisms involved in overeating and obesity, measures of both cognitive and physiological determinants of eating behavior need to be integrated. Effectively synchronizing behavioral measures such as meal micro-structure (e.g., eating speed), cognitive processing of sensory stimuli, and metabolic parameters, can be complex. However, this step is central to understanding the impact of food interventions on body weight. In this paper, we provide an overview of the existing gaps in eating behavior research and describe the development and validation of a new methodological platform to address some of these issues. As part of a controlled trial, 76 men and women self-served and consumed food from a buffet, using a portion-control plate with visual stimuli for appropriate amounts of main food groups, or a conventional plate, on two different days, in a random order. In both sessions participants completed behavioral and cognitive tests using a novel methodological platform that measured gaze movement (as a proxy for visual attention), eating rate and bite size, memory for portion sizes, subjective appetite and portion-size perceptions. In a sub-sample of women, hormonal secretion in response to the meal was also measured. The novel platform showed a significant improvement in meal micro-structure measures from published data (13 vs. 33% failure rate) and high comparability between an automated gaze mapping protocol vs. manual coding for eye-tracking studies involving an eating test (ICC between methods 0.85; 90% CI 0.74, 0.92). This trial was registered at Clinical Trials.gov with Identifier NCT03610776.

Original languageEnglish
Pages (from-to)2777–2801
Number of pages25
JournalBehavior Research Methods
Volume54
Issue number6
Early online date31 Jan 2022
DOIs
Publication statusPublished - 1 Dec 2022

Bibliographical note

Funding Information:
We are grateful to Herba RiceMills SLU and Precise Portions LLC for donating study foods and kitchen utensils respectively; to Tom Gough for advice on eye-tracking methodology; Alfredo Gea for advice on statistical analyses; Manuel Castells for assistance with food photography; Stephano Sobrino and Ainara Martínez for help with initial development of the manual eye-tracking protocol; and to Salomé Pérez, Carmen Cristobo, Claudia Castejón, María Zabala, Verónica Ciaurriz and Blanca Martínez for technical assistance. The Visual Basic executable code is freely available from Prof. Jeffrey Brunstrom, University of Bristol, U.K. on request. The Tobii Pro Lab programming code can be requested to Dr. Eva Almiron-Roig.

Funding Information:
Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature. Financial support for this study was received from the Government of Navarra (PORTIONS Projects PT028 and PT008), the Centre for Nutrition Research, University of Navarra, and the Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn). Additional support in the form of portion-control tools and study foods was received for this study from Precise Portions LLC and from Herba Ricemills SLU, respectively.

Publisher Copyright:
© 2022, The Author(s).

Research Groups and Themes

  • Nutrition and Behaviour

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