Evidence map›Paper›PMID 34689191›Full record

ArticleThe Journal of nutrition2021

Validation of Global Diet Quality Score Among Nonpregnant Women of Reproductive Age in India: Findings from the Andhra Pradesh Children and Parents Study (APCAPS) and the Indian Migration Study (IMS).

Mika Matsuzaki, Nick Birk, Sabri Bromage, Liza Bowen, Carolina Batis, Teresa T Fung, Yanping Li, Meir J Stampfer, Megan Deitchler, Walter C Willett and 3 more

Abstract readValidation Study
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 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.

Mika MatsuzakiJohns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.ORCID 0000-0002-7020-3757
Nick BirkHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Sabri BromageHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Liza BowenKing's College, Department of Population Health Sciences, London, United Kingdom.
Carolina BatisCONACYT-Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico.
Teresa T FungHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Yanping LiHarvard T.H. Chan School of Public Health, Boston, MA, USA.ORCID 0000-0002-0412-2748
Meir J StampferHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Megan DeitchlerIntake-Center for Dietary Assessment, FHI Solutions, Washington, DC, USA.
Walter C WillettHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Wafaie W FawziHarvard T.H. Chan School of Public Health, Boston, MA, USA.
Sanjay KinraLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Shilpa N BhupathirajuHarvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Wellcome Trust 070797Wellcome Trust 083707Wellcome Trust 084754
6 · The paper itself

Abstract

backgroundIn India, there is a need to monitor population-level trends in changes in diet quality in relation to both undernutrition and noncommunicable diseases.

objectivesWe conducted a study to validate a novel diet quality score in southern India.

methodsWe included data from 3041 nonpregnant women of reproductive age (15-49 years) from 2 studies in India. Diet was assessed using a validated food frequency questionnaire (FFQ). The Global Diet Quality Score (GDQS) was calculated from 25 food groups (16 healthy; 9 unhealthy), with points for each group based on the frequency and quantity of items consumed in each group. We used Spearman correlations to examine correlations between the GDQS and several nutrient intakes of concern. We examined associations between the GDQS [overall, healthy (GDQS+), and unhealthy (GDQS-) submetrics] and overall nutrient adequacy, micro- and macronutrients, body mass index (BMI), midupper arm circumference, hemoglobin, blood pressure, high density lipoprotein (HDL), and total cholesterol (TC).

resultsThe mean GDQS was 23 points (SD, 3.6; maximum, 46.5). In energy-adjusted models, positive associations were found between the overall GDQS and GDQS+ and intakes of calcium, fiber, folate, iron, monounsaturated fatty acid (MUFA), protein, polyunsaturated fatty acid (PUFA), saturated fatty acid (SFA), total fat, and zinc (ρ = 0.12-0.39; P < 0.001). Quintile analyses showed that the GDQS was associated with better nutrient adequacy. At the same time, the GDQS was associated with higher TC, lower HDL, and higher BMI. We found no associations between the GDQS and hypertension.

conclusionsThe GDQS was a useful tool for reflecting overall nutrient adequacy and some lipid measures. Future studies are needed to refine the GDQS for populations who consume large amounts of unhealthy foods, like refined grains, along with healthy foods included in the GDQS.

Indexed as

DietDiet, HealthyAdolescentAdultAnthropometryCross-Sectional StudiesDietary FatsDiet SurveysEatingFeeding BehaviorFemaleHealth StatusHumansIndiaMalnutritionMicronutrientsDietary FatsMicronutrientsdietary diversitydiet quality metricsdouble burden of malnutritionGDQSIndianoncommunicable diseasesnutrient adequacynutritional epidemiologynutrition transitionSouth Asia

Identifiers

PMID34689191
PMCPMC8564710

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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.