Evidence map›Paper›PMID 31711492›Full record

ArticleNutrition journal2019

Evaluating adherence to recommended diets in adults 1991-2015: revised China dietary guidelines index.

Feifei Huang, Zhihong Wang, Liusen Wang, Huijun Wang, Jiguo Zhang, Wenwen Du, Chang Su, Xiaofang Jia, Yifei Ouyang, Yun Wang and 3 more

Abstract read
In one paragraph

Article in Nutrition journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

13 authors.

Feifei HuangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Zhihong WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Liusen WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Huijun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Jiguo ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Wenwen DuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Chang SuNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Xiaofang JiaNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yifei OuyangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yun WangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Li LiNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Hongru JiangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Bing ZhangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China. zhangbing@chinacdc.com.ORCID 0000-0002-8399-9061

Funding

UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Ian Michael Carroll · 1999 to 2026
$31.6M
MONITORING SOCIAL CHANGE: HEALTH, REPRODUCTION, AGINGR01HD030880 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S, POPKIN, BARRY M · 1994 to 2024
$27.0M
Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
CHILD HEALTH EFFECTS OF RAPID SOCIO-DEMOGRAPHIC CHANGER01HD038700 · NICHD · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2000 to 2004
$1.5M
Nutrition-Related NCD Prevention Training in ChinaD43TW009077 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2011 to 2015
$1.1M
Nutrition-Related NCD Prevention Training in ChinaD43TW007709 · FIC · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POPKIN, BARRY M · 2006 to 2010
$723k
FIC NIH HHS D43 TW007709FIC NIH HHS D43 TW009077NICHD NIH HHS R01 HD030880NICHD NIH HHS R01 HD038700NICHD NIH HHS R24 HD050924NIDDK NIH HHS P30 DK056350
6 · The paper itself

Abstract

backgroundThe China Dietary Guidelines Index (CDGI) is a diet quality evaluation index that can present the overall diet quality and is comparable between individuals. The aim of this study was to revise CDGI for Chinese adults according to the Chinese Dietary Guidelines 2016 (CDG-2016), evaluate adherence to recommended diets between 1991 and 2015, and analyze the trend, variation, and determinants of diet quality.

methodsFood, cooking oil, and condiment intakes were estimated based on twenty-four-hour dietary recalls over three consecutive days and the household weighing method. Based on the food and nutrients recommendations for people with different energy requirements in CDG-2016, CDGI was revised as China Dietary Guidelines Index (2019)-Adults (CDGI(2019)-A) by equal weight continuity scoring. Three-level random intercept-slope growth models were applied to analyze the trend, variation, and determinants at both the community and individual levels.

resultsCDGI(2019)-A, the sum of fourteen component scores with a range of 0-110 points, increased significantly from 38.2 in 1991 to 47.3 in 2015. Components with a score of less than half were milk (91.6%), fruits (72.0%), nuts (82.5%), other cereals and beans (82.6%), and seafood (77.7%). Between-individual accounted for 25.6% of the total score variation, of which 87.4% derived from the community level. CDGI(2019)-A score displayed a positive association with being female, having higher education, having higher income, living in an urban area, and knowing the CDG-2016 recommendations. The impact of income and awareness of CDG-2016 varied significantly across communities.

conclusionsAlthough quality of diet has been improving in China, overall quality remains poor, primarily because of inadequate intake of milk and dairy products, nuts, fruits, other cereals and miscellaneous beans, and seafood. Intervention at the community level may improve diet quality more efficiently than at the individual level, and the most effective intervention should be selected in different communities according to local conditions.

Indexed as

Nutrition PolicyAdolescentAdultChinaCluster AnalysisDietEducational StatusFemaleHumansMaleMiddle AgedNutrition SurveysPatient ComplianceProspective StudiesSex FactorsSocioeconomic FactorsChina dietary guidelines indexChinese adultsDiet qualityMultilevel model

Identifiers

PMID31711492
PMCPMC6849297

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.