Evidence map›Paper›PMID 35889873›Full record

ArticleNutrients2022

Chinese Food Image Database for Eating and Appetite Studies.

Xinhang Li, Yue Pan, Yan Han, Qianlin Liang, Xinmeng Yang, Xia Meng, Xiao Gao

Abstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xinhang LiFaculty of Psychology, Southwest University, Chongqing 400715, China.
Yue PanFaculty of Psychology, Southwest University, Chongqing 400715, China.
Yan HanFaculty of Psychology, Southwest University, Chongqing 400715, China.
Qianlin LiangFaculty of Psychology, Southwest University, Chongqing 400715, China.
Xinmeng YangFaculty of Psychology, Southwest University, Chongqing 400715, China.
Xia MengFaculty of Psychology, Southwest University, Chongqing 400715, China.
Xiao GaoFaculty of Psychology, Southwest University, Chongqing 400715, China.

Funding

National Natural Science Foundation of China #32071046
6 · The paper itself

Abstract

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.

Indexed as

AppetiteFood PreferencesBody Mass IndexChildChinaEatingFeeding BehaviorFoodHumansdatabasedietary decision-makingfood cuesfood imageobesity

Identifiers

PMID35889873
PMCPMC9315667

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.