Evidence map›Paper›PMID 37432168›Full record

ArticleNutrients2023

The Nutrition Knowledge Level and Influencing Factors among Chinese Women Aged 18-49 Years in 2021: Data from a Nationally Representative Survey.

Yujie Qiu, Caicui Ding, Yan Zhang, Fan Yuan, Weiyan Gong, Ying Zhou, Chao Song, Jingwen Feng, Wenbin Zhang, Ailing Liu

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 11 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

10 authors at 1 institution in 1 country.

Yujie QiuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Caicui DingNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Yan ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0001-5918-4797
Fan YuanNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Weiyan GongNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-2164-883X
Ying ZhouNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chao SongNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.ORCID 0000-0002-8109-4656
Jingwen FengNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Wenbin ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Ailing LiuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Chinese Center For Disease Control and Prevention · CN

Funding

National Health Commission of the People's Republic of China No.202012-201
6 · The paper itself

Abstract

Women aged 18-49 years are women of childbearing age. Their nutrition knowledge (NK) is not only related to their physical health but also affects the diet quality of the entire family and the health status of the next generation. Studies that assess the NK level of women of childbearing age using representative data in China are lacking. This study aimed to evaluate the NK level of Chinese women aged 18-49 years and explore influencing factors at both the individual and provincial levels. Data were from the Chinese Nutrition and Health Knowledge Survey 2021. A total of 38,065 females aged 18-49 years were included in the analysis. A face-to-face validated standard questionnaire was used to collect NK from respondents. The full score of the questionnaire was 100. Respondents who scored higher than 75 were considered to have NK. The Rao-Scott chi-square test was used to compare the differences in the NK awareness rate between or among the subgroups. A multilevel logistic regression model was used to explore influencing factors at the individual and provincial levels. All analyses accounted for complex sample design including clustering, stratification, and sample weights. The mean score of NK among Chinese women aged 18-49 years was 65.1 ± 11.8, and the awareness rate was 20.9% (95% CI: 19.6-22.3%). Among the five dimensions, the awareness rate of food safety was the highest (74.0%, 95% CI: 72.8-75.3%), and the dietary recommendation was the lowest (16.4%, 95% CI: 15.3-17.5%). The two-level logistic regression model analysis revealed that at the individual level, age, education level, occupation, chronic disease status and residence were the main influencing factors of the NK level. At the provincial level, the region and the female illiteracy rate were associated with the NK level. Dependent children ratio, per capita income, and health expenditure were not significantly associated with the NK level. The model accounted for 58.8% of the variance in the NK level. The NK level of Chinese women aged 18-49 years was low. Knowledge of dietary recommendations was weakest. Both individual and provincial-level factors were associated with the NK level. There is an urgent need to strengthen nutrition education actions for enhancing the NK of reproductive-age women effectively to improve their dietary behaviors.

Indexed as

East Asian PeopleHealth Knowledge, Attitudes, PracticeNutrition SurveysAdolescentAdultChinaCluster AnalysisFemaleHumansYoung Adultawareness rateinfluencing factorsmultilevel logistic regression modelnutrition knowledgewomen of childbearing age

Identifiers

PMID37432168
PMCPMC10180533
OpenAlexW4366828425

What OpenQuestion holds

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LicenceCC BY
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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.