Evidence map›Paper›PMID 31952113›Full record

ArticleInternational journal of environmental research and public health2020

Explaining Income-Related Inequalities in Dietary Knowledge: Evidence from the China Health and Nutrition Survey.

Yongjian Xu, Siyu Zhu, Tao Zhang, Duolao Wang, Junteng Hu, Jianmin Gao, Zhongliang Zhou

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 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.

Yongjian XuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Siyu ZhuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Tao ZhangDepartment of Health Management, School of Medicine and Health Management, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China.
Duolao WangDepartment of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool L3 5QA, UK.ORCID 0000-0003-2788-2464
Junteng HuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Jianmin GaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.
Zhongliang ZhouSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an 710049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lack of adequate dietary knowledge may result in poor health conditions. This study aims to measure income-related inequality in dietary knowledge, and to explain the sources of the inequality. Data were from the China Health and Nutrition Survey (CHNS) conducted in 2015. A summary of the dietary knowledge score and dietary guideline awareness was used to measure the dietary knowledge of respondents. The concentration index was employed as a measure of socioeconomic inequality and was decomposed into its determining factors. The study found that the proportion of respondents who correctly answered questions on dietary knowledge was significantly low for some questions. Compared to rural residents, urban residents had a higher proportion of correctly answered dietary knowledge questions. In addition, there are pro-rich inequalities in dietary knowledge. This observed inequality is determined not only by individual factors but also high-level area factors. Our study recommends that future dietary education programs could take different strategies for individuals with different educational levels and focus more on disadvantaged people. It would be beneficial to consider local dietary habits in developing education materials.

Indexed as

DietHealth Knowledge, Attitudes, PracticeSocioeconomic FactorsAdultAgedChinaDiet SurveysFemaleHumansMaleMiddle AgedRural PopulationUrban Populationconcentration indexdecomposition analysisdietary knowledgeincome-related inequality

Identifiers

PMID31952113
PMCPMC7013705

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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.