Evidence map›Paper›PMID 34689199›Full record

ArticleThe Journal of nutrition2021

Application of the Global Diet Quality Score in Chinese Adults to Evaluate the Double Burden of Nutrient Inadequacy and Metabolic Syndrome.

Yuna He, Yuehui Fang, Sabri Bromage, Teresa T Fung, Shilpa N Bhupathiraju, Carolina Batis, Megan Deitchler, Wafaie Fawzi, Meir J Stampfer, Frank B Hu and 2 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

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  9. The global diet quality score (GDQS) of foods consumed by Nigerian adults.Journal of health, population, and nutrition · 2025
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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

12 authors at 5 institutions in 4 countries.

Yuna HeNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuehui FangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Sabri BromageDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Teresa T FungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Shilpa N BhupathirajuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Carolina BatisCONACYT-Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico.
Megan DeitchlerIntake - Center for Dietary Assessment, FHI Solutions, Washington, DC, USA.
Wafaie FawziDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Meir J StampferDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Yanping LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-0412-2748
Brigham and Women's Hospital · USHarvard University · USChinese Center For Disease Control and Prevention · CNFamily Health International 360 · USNational Institute of Public Health · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe double burdens of under- and overnutrition are changing the health of individuals and the economic and disease burdens in China. Poor diet plays an important role; however, a valid and easily operationalized metric that could capture the full range of characteristics of the diet that are relevant to both under- and overnutrition is lacking in China.

objectivesWe aimed to examine the application of the Global Diet Quality Score (GDQS) to evaluate nutrient inadequacy and metabolic syndrome in different demographic groups of Chinese adults.

methodsA total of 35,146 individuals (men 14,978, women 20,168) aged >18 y from the 2010-2012 China National Nutrition and Health Survey were included. We scored the GDQS using average intakes of 25 food groups from 3 d of 24-h dietary recalls. Double burden was defined as coexisting metabolic syndrome and nutrient inadequacy.

resultsDiet quality assessed by GDQS was significantly higher in urban than in rural residents (20.8 compared with 18.7), and increased with both educational level and household income (P-trends < 0.0001). A higher GDQS score was inversely associated with metabolic syndrome and nutrient inadequacy, or both (P-trends < 0.0001): multivariate adjusted ORs comparing extreme quintiles of GDQS were 0.79 (95% CI: 0.69, 0.91) for metabolic syndrome, 0.17 (95% CI: 0.14, 0.20) for nutrient inadequacy, and 0.59 (95% CI: 0.50, 0.69) for the double burden. These associations were consistent across different household income levels (P-interaction = 0.26), suggestively stronger in younger (<50 y), females, urban residents, and the more highly educated (P-interaction < 0.05) compared with their counterparts.

conclusionsA higher GDQS was inversely associated with a double burden of nutrient inadequacy and metabolic syndrome across various subgroups of Chinese adults. The finding supports the use of the GDQS in different demographic groups of Chinese adults to assess diet quality and nutritional status.

Indexed as

DietDiet, HealthyAdolescentAdultChinaEducational StatusFemaleHumansIncomeMaleMalnutritionMetabolic SyndromeMiddle AgedNutrientsNutritional StatusNutrition SurveysNutrientsChinadouble burdenGDQSmetabolic syndromenutrient inadequacy

Identifiers

PMID34689199
PMCPMC8542094
OpenAlexW3209050337

What OpenQuestion holds

Textmetadata
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.