Evidence map›Paper›PMID 37844842›Full record

ArticleThe Journal of nutrition2023

Performance of the Global Diet Quality Score (GDQS) App in Predicting Nutrient Adequacy and Metabolic Risk Factors among Thai Adults.

Sabri Bromage, Tippawan Pongcharoen, Aree Prachansuwan, Pornpan Sukboon, Weerachat Srichan, Sasiumphai Purttiponthanee, Megan Deitchler, Mourad Moursi, Joanne Arsenault, Nazia Binte Ali and 5 more

Open access · hybridAbstract read
In one paragraph

Article in The Journal of nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
5.5field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 19 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

15 authors at 5 institutions in 4 countries.

Sabri BromageCommunity Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand; Department of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Tippawan PongcharoenCommunity Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand. Electronic address: tippawan.pon@mahidol.ac.th.
Aree PrachansuwanHuman Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Pornpan SukboonCommunity Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Weerachat SrichanCommunity Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Sasiumphai PurttiponthaneeResearch and Innovation Service Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Megan DeitchlerIntake Center for Dietary Assessment, Washington, DC, USA.
Mourad MoursiIntake Center for Dietary Assessment, Washington, DC, USA.
Joanne ArsenaultIntake Center for Dietary Assessment, Washington, DC, USA.
Nazia Binte AliDepartment of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Carolina BatisHealth and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Morelos, México.
Wafaie W FawziDepartment of Global Health and Populations, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Pattanee WinichagoonCommunity Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Wantanee KriengsinyosHuman Nutrition Unit, Institute of Nutrition, Mahidol University, Salaya, Phutthamonthon, Nakhon Pathom, Thailand. Electronic address: wantanee.krieng@mahidol.edu.
Mahidol University · THCenter for Assessment · USHarvard University · USHarvard Global Health Institute · USNational Institute of Public Health · SI

Funding

Partnership for Global Health Research Training Program (Renewal)-Supplement for OBSSR, NCI, NCI-AIDS and NIDCDD43TW010543 · FIC · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Wafaie W Fawzi, DAVIDSON HOWES HAMER · 2017 to 2026
$12.1M
FIC NIH HHS D43 TW010543
6 · The paper itself

Abstract

backgroundThe Global Diet Quality Score (GDQS) was developed for monitoring nutrient adequacy and diet-related noncommunicable disease risk in diverse populations. A software application (GDQS app) was recently developed for the standardized collection of GDQS data. The application involves a simplified 24-h dietary recall (24HR) where foods are matched to GDQS-food groups using an onboard database, portion sizes are estimated at the food group level using cubic models, and the GDQS is computed.

objectivesThe study aimed to estimate associations between GDQS scores collected using the GDQS app and nutrient adequacy and metabolic risks.

methodsIn this cross-sectional study of 600 Thai males and nonpregnant/nonlactating females (40-60 y), we collected 2 d of GDQS app and paper-based 24HR, food-frequency questionnaires (FFQs), anthropometry, body composition, blood pressure, and biomarkers. Associations between application scores and outcomes were estimated using multiple regression, and application performance was compared with that of metrics scored using 24HR and FFQ data: GDQS, Minimum Dietary Diversity-Women, Alternative Healthy Eating Index-2010, and Global Dietary Recommendations score.

resultsIn covariate-adjusted models, application scores were significantly (P < 0.05) associated with higher energy-adjusted mean micronutrient adequacy computed using 24HR (range in estimated mean adequacy between score quintiles 1 and 5: 36.3%-44.5%) and FFQ (Q1-Q5: 40.6%-44.2%), and probability of protein adequacy from 24HR (Q1-Q5: 63%-72.5%). Application scores were inversely associated with BMI kg/m

conclusionsThe GDQS app effectively assesses nutrient adequacy and metabolic risk in population surveys.

Indexed as

Mobile ApplicationsAdultCross-Sectional StudiesDietFemaleHumansMaleMicronutrientsMiddle AgedRisk FactorsThailandMicronutrientsadultsdietary assessmentdietary diversitydiet quality metricsGDQSmetabolic syndromenoncommunicable diseasenutrient adequacynutritional epidemiologynutrition surveillance

Identifiers

PMID37844842
PMCPMC10739769
OpenAlexW4387643587

What Socratic 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 Socratic graph.