Chinese Food Image Database for Eating and Appetite Studies

Modern people live in an environment with ubiquitous food cues, including food advertisements, videos, and smells. Do these food cues change people’s eating behavior? Since diet plays a crucial role in maintaining health, it has been researched for decades. As convenient alternatives for real food,...

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Main Authors: Xinhang Li, Yue Pan, Yan Han, Qianlin Liang, Xinmeng Yang, Xia Meng, Xiao Gao
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Nutrients
Subjects:
Online Access:https://www.mdpi.com/2072-6643/14/14/2916
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author Xinhang Li
Yue Pan
Yan Han
Qianlin Liang
Xinmeng Yang
Xia Meng
Xiao Gao
author_facet Xinhang Li
Yue Pan
Yan Han
Qianlin Liang
Xinmeng Yang
Xia Meng
Xiao Gao
author_sort Xinhang Li
collection DOAJ
description Modern people live in an environment with ubiquitous food cues, including food advertisements, videos, and smells. Do these food cues change people’s eating behavior? Since diet plays a crucial role in maintaining health, it has been researched for decades. As convenient alternatives for real food, food images are widely used in diet research. To date, researchers from Germany, Spain, and other countries have established food photo databases; however, these food pictures are not completely suitable for Chinese studies because of the ingredients and characteristics of Chinese food. The main goal of this research is to create a library of Chinese food images and to provide as complete a data reference as possible for future studies that use food images as experimental material. After standardized processing, we selected 508 common Chinese food pictures with high familiarity and recognizability and attached detailed classifications concerning taste, macronutrients, calories, and participants’ emotional responses to the pictures. Additionally, with food pictures as material, we conducted research on how people make dietary decisions in order to identify the variables that may affect a person’s food choices. The effects of individual perceived healthiness and palatability, gender, BMI, family income, and levels of emotional and restricted eating were examined using eating decisions based on healthiness and palatability as dependent variables. The results showed that people with low household incomes are more likely to be influenced by food taste in their dietary decision-making process, while individuals with high household incomes are more likely to consider the healthy aspects of food. Moreover, parental BMI affects what children consume, with children who have parents with higher BMIs being more prone to overlook the healthiness value of food.
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spelling doaj.art-ab229ec5a3f9494888dcd4b4b6d16d382023-12-01T22:32:00ZengMDPI AGNutrients2072-66432022-07-011414291610.3390/nu14142916Chinese Food Image Database for Eating and Appetite StudiesXinhang Li0Yue Pan1Yan Han2Qianlin Liang3Xinmeng Yang4Xia Meng5Xiao Gao6Faculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaFaculty of Psychology, Southwest University, Chongqing 400715, ChinaModern people live in an environment with ubiquitous food cues, including food advertisements, videos, and smells. Do these food cues change people’s eating behavior? Since diet plays a crucial role in maintaining health, it has been researched for decades. As convenient alternatives for real food, food images are widely used in diet research. To date, researchers from Germany, Spain, and other countries have established food photo databases; however, these food pictures are not completely suitable for Chinese studies because of the ingredients and characteristics of Chinese food. The main goal of this research is to create a library of Chinese food images and to provide as complete a data reference as possible for future studies that use food images as experimental material. After standardized processing, we selected 508 common Chinese food pictures with high familiarity and recognizability and attached detailed classifications concerning taste, macronutrients, calories, and participants’ emotional responses to the pictures. Additionally, with food pictures as material, we conducted research on how people make dietary decisions in order to identify the variables that may affect a person’s food choices. The effects of individual perceived healthiness and palatability, gender, BMI, family income, and levels of emotional and restricted eating were examined using eating decisions based on healthiness and palatability as dependent variables. The results showed that people with low household incomes are more likely to be influenced by food taste in their dietary decision-making process, while individuals with high household incomes are more likely to consider the healthy aspects of food. Moreover, parental BMI affects what children consume, with children who have parents with higher BMIs being more prone to overlook the healthiness value of food.https://www.mdpi.com/2072-6643/14/14/2916food imagedatabasedietary decision-makingfood cuesobesity
spellingShingle Xinhang Li
Yue Pan
Yan Han
Qianlin Liang
Xinmeng Yang
Xia Meng
Xiao Gao
Chinese Food Image Database for Eating and Appetite Studies
Nutrients
food image
database
dietary decision-making
food cues
obesity
title Chinese Food Image Database for Eating and Appetite Studies
title_full Chinese Food Image Database for Eating and Appetite Studies
title_fullStr Chinese Food Image Database for Eating and Appetite Studies
title_full_unstemmed Chinese Food Image Database for Eating and Appetite Studies
title_short Chinese Food Image Database for Eating and Appetite Studies
title_sort chinese food image database for eating and appetite studies
topic food image
database
dietary decision-making
food cues
obesity
url https://www.mdpi.com/2072-6643/14/14/2916
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