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Vargas-Alvarez MA, Al-Sehaim H, Brunstrom JM, Castelnuovo G, Navas-Carretero S, Martínez JA, Almiron-Roig E. Development and validation of a new methodological platform to measure behavioral, cognitive, and physiological responses to food interventions in real time. Behav Res Methods 2022; 54:2777-2801. [PMID: 35102518 PMCID: PMC8802991 DOI: 10.3758/s13428-021-01745-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/07/2021] [Indexed: 01/01/2023]
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.
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Affiliation(s)
- M A Vargas-Alvarez
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
| | - H Al-Sehaim
- School of Biological and Health Sciences, Technological University Dublin, Dublin, Ireland
| | - J M Brunstrom
- School of Psychological Science, University of Bristol, Bristol, UK
| | - G Castelnuovo
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
| | - S Navas-Carretero
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain
| | - J A Martínez
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain
- Spanish Biomedical Research Centre in Physiopathology of Obesity and Nutrition (CIBERobn), Institute of Health Carlos III, Madrid, Spain
| | - E Almiron-Roig
- Center for Nutrition Research, University of Navarra, 31008, Pamplona, Spain.
- Department of Nutrition, Food Science and Physiology, Faculty of Pharmacy and Nutrition, University of Navarra, Pamplona, Spain.
- Navarra Institute for Health Research (IdiSNa), Pamplona, Spain.
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