Evidence map›Paper›PMID 35055492›Full record

ArticleInternational journal of environmental research and public health2022

Determinants of Nutrition Facts Table Use by Chinese Consumers for Nutritional Value Comparisons.

Zeying Huang, Haijun Li, Jiazhang Huang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

4 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

3 authors.

Zeying HuangInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.ORCID 0000-0001-8668-6506
Haijun LiSchool of Information &Intelligence Engineering, University of Sanya, Sanya 572022, China.
Jiazhang HuangInstitute of Food and Nutrition Development, Ministry of Agriculture and Rural Affairs, Beijing 100081, China.ORCID 0000-0002-4441-2766

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nutrition facts table is a nutrition labeling tool designed to inform consumers of food nutritional contents and enable them to make healthier choices by comparing the nutritional values of similar foods. However, its adoption level is considerably low in China. This study employed the Chi-squared Automatic Interaction Detection (CHAID) algorithm to explore the factors associated with respondents' adoption of nutrition facts table to compare the nutritional values of similar foods. Data were gathered through a nationally representative online survey of 1500 samples. Results suggested that consumers' comprehension of the nutrition facts table was a direct explanatory factor for its use. The usage was also indirectly explained by people's nutrition knowledge, the usage of nutrition facts table by their relatives and friends, and their focus on a healthy diet. Therefore, to increase the use of nutrition facts table by Chinese consumers, the first consideration should be given to enhancing consumers' comprehension of the labeling.

Indexed as

Consumer BehaviorFood LabelingChinaChoice BehaviorDiet, HealthyHumansNutritive ValueChi-squared automatic interaction detectiondecision treenutritional valuenutrition facts tableprepackaged food

Identifiers

PMID35055492
PMCPMC8775507

What OpenQuestion holds

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Registered trials

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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.