The development and testing of the TTU food cue reactivity image bank.

IF 3.8 2区医学 Q1 ENDOCRINOLOGY & METABOLISM

International Journal of Obesity Pub Date : 2025-07-26 DOI:10.1038/s41366-025-01856-9

William R Quarles, Martin Binks

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引用次数: 0

Abstract

Background/objectives: Measuring food cue reactivity (FCR) is essential to understanding human ingestion in behavioral and neuroimaging studies. An image bank that can delineate the truly food-specific FCR response from spurious noise driven primarily by incidental characteristics (e.g., visual properties) of images is a useful addition to the literature. This study sought to develop and test the performance of the TTU Food Cue Reactivity Image Bank that matched 252 image pairs on visual characteristics (i.e., shape, color, visual complexity, and size), and to establish the appeal ratings of the images for use in future applications.

Subjects/methods: The TTU Food Cue Reactivity Image Bank was initially created, and subsequently evaluated by independent raters. Then, 151 individuals participated in a Qualtrics survey to determine the similarity of image pairs on relevant dimensions (i.e., shape, color, visual complexity, and size) and establish appeal ratings for food and non-food images.

Results: Inter-rater agreement was tested using intraclass correlation coefficients (ICC), which revealed very high agreement among raters for all similarity measures (shape ICC = 0.98; color ICC = 0.97; visual complexity ICC = 0.96; size ICC = 0.96; appeal ICC = 0.93).

Conclusions: The high agreement among raters on the visual characteristics and appeal ratings of the images increases confidence that food-cue-reactivity observed is based on intended "image type" distinctions (i.e., food vs. object) and not incidental visual features.

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TTU食品线索反应性图片库的开发与测试。

背景/目的：在行为和神经影像学研究中，测量食物线索反应性（FCR）对于理解人类摄入至关重要。一个图像库可以从主要由图像的偶然特征（例如视觉特性）驱动的伪噪声中描绘出真正的食物特异性FCR响应，这是对文献的有用补充。本研究旨在开发和测试TTU食物线索反应性图库的性能，该图库在视觉特征（即形状、颜色、视觉复杂性和大小）上匹配252对图像，并建立图像的吸引力评级，以供未来应用。受试者/方法：TTU食物线索反应性图片库最初创建，随后由独立评分者进行评估。然后，151个人参加了一项质量调查，以确定图像对在相关维度（即形状、颜色、视觉复杂性和大小）上的相似性，并建立食物和非食物图像的吸引力评级。结果：使用类内相关系数（ICC）检验评分者之间的一致性，显示所有相似性测量的评分者之间的一致性非常高(形状ICC = 0.98；color ICC = 0.97；视觉复杂度ICC = 0.96；size ICC = 0.96；上诉ICC = 0.93)。结论：评分者对图像的视觉特征和吸引力评级的高度一致增加了对观察到的食物线索反应性基于预期的“图像类型”区别（即食物与物体）而不是偶然的视觉特征的信心。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Journal of Obesity 医学-内分泌学与代谢

CiteScore

10.00

自引率

2.00%

发文量

221

审稿时长

3 months

期刊介绍： The International Journal of Obesity is a multi-disciplinary forum for research describing basic, clinical and applied studies in biochemistry, physiology, genetics and nutrition, molecular, metabolic, psychological and epidemiological aspects of obesity and related disorders. We publish a range of content types including original research articles, technical reports, reviews, correspondence and brief communications that elaborate on significant advances in the field and cover topical issues.