Evidence map›Paper›PMID 33918505›Full record

ArticleInternational journal of environmental research and public health2021

The Impact of Dietary Knowledge on Health: Evidence from the China Health and Nutrition Survey.

Yangyang Sun, Daxin Dong, Yulian Ding

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.1field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 35 citations in OpenAlex.

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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 at 1 institution in 1 country.

Yangyang SunSchool of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China.
Daxin DongSchool of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China.ORCID 0000-0002-7161-5112
Yulian DingSchool of Business Administration, Faculty of Business Administration, Southwestern University of Finance and Economics, Chengdu 611130, China.ORCID 0000-0002-4553-3383
Southwestern University of Finance and Economics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Promoting a healthy diet through education is part of the Healthy China 2030 action plan. However, studies examining how dietary knowledge affects public health in China are sparse. This study employs multiple waves of the China Health and Nutrition Survey (CHNS) data to examine the impacts of dietary knowledge on Chinese adults' health, with a particular emphasis on how the impacts of dietary knowledge vary across different demographic groups. Moreover, we contribute to the literature by incorporating the spouse's dietary knowledge into the analysis framework to inspect the relationship between a spouse's dietary knowledge and an individual's health. Our results indicate that dietary knowledge significantly improves an individual's health status. However, there is no evidence that an individual's health is influenced by his/her spouse's dietary knowledge. Moreover, we find that individuals with a lower level of education and rural residents benefit more from increasing dietary knowledge. Policy implications of this study are also discussed.

Indexed as

DietNutritional StatusAdultChinaFemaleHumansMaleNutrition SurveysRural PopulationChina Health and Nutrition Surveydietary knowledgeheterogeneityself-rated health

Identifiers

PMID33918505
PMCPMC8038249
OpenAlexW3152162330

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.