Evidence map›Paper›PMID 36904170›Full record

ArticleNutrients2023

Urban-Rural Disparities in Knowledge, Use and Perceived Benefits of Nutrition Labels in China: Evidence from 10 Provinces.

Linlin Fan, Zhigang Wang, Yiwen Zhao, Ye Ma

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Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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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

8 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

4 authors.

Linlin FanDepartment of Agricultural Economics, Sociology and Education, The Pennsylvania State University, State College, PA 16801, USA.
Zhigang WangSchool of Agricultural Economics and Development, Renmin University of China, Beijing 100872, China.
Yiwen ZhaoDepartment of Agricultural Economics, Sociology and Education, The Pennsylvania State University, State College, PA 16801, USA.
Ye MaInformation Center, Ministry of Agriculture and Rural Affairs, Beijing 100125, China.

Funding

China National Natural Science Foundation 71633005 and 71773136Generalized Virtual Economy Technology Research Funding Program GX2015-1009YU.S. Department of Agriculture (USDA) National Institute of Food and Agriculture and Hatch Appropriations Project #PEN04709 and Accession #1019915
6 · The paper itself

Abstract

There exist significant gaps in nutritional status between urban and rural populations in China. The previous literature has shown that more knowledge and usage of nutrition labels are instrumental in improving diet quality and health. The aim of the study is to analyze: (1) Are there urban-rural disparities in consumer knowledge, use and perceived benefits of nutrition labels in China; (2) If so, what are the magnitudes of the disparities; (3) What can explain the disparities, and how can the disparities be reduced? The Oaxaca-Blinder (O-B) decomposition is utilized to analyze the predictors of urban-rural disparities in nutrition labels based on a self-conducted study of Chinese individuals. The information from a total of 1635 individuals (aged 11-81 years) across China in 2016 was collected in the survey. We find that rural respondents have less knowledge, lower usage and perceived benefits of nutrition labels than their urban counterparts. Demographics, focus on food safety, frequent shopping locations and income jointly explain 98.9% of the disparity in the knowledge of nutrition labels. Nutrition label knowledge is the predictor which contributes most to urban-rural disparity in label use-accounting for 29.6% of the disparity. Nutrition label knowledge and use are the two biggest predictors of disparities in perceived benefits-accounting for 29.7% and 22.8% of the disparity in perceived benefits, respectively. Our study suggests that policies aiming to improve income and education, as well as raising awareness of food safety in rural areas, are promising in closing the urban-rural disparities in nutrition labels knowledge, use, diet quality and health in China.

Indexed as

Nutritional StatusRural PopulationChinaHumansIncomeUrban Populationnutrition labelsOaxaca–Blinder decompositionurban–rural disparities

Identifiers

PMID36904170
PMCPMC10004821

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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.