There's an App for That: Development of an Application to Operationalize the Global Diet Quality Score.
GDQS
application
data collection
operationalization
sensitivity analysis
Journal
The Journal of nutrition
ISSN: 1541-6100
Titre abrégé: J Nutr
Pays: United States
ID NLM: 0404243
Informations de publication
Date de publication:
23 10 2021
23 10 2021
Historique:
received:
01
03
2021
revised:
19
04
2021
accepted:
25
05
2021
entrez:
24
10
2021
pubmed:
25
10
2021
medline:
11
11
2021
Statut:
ppublish
Résumé
The global diet quality score (GDQS) is a simple, standardized metric appropriate for population-based measurement of diet quality globally. We aimed to operationalize data collection by modifying the quantity of consumption cutoffs originally developed for the GDQS food groups and to statistically evaluate the performance of the operationalized GDQS relative to the original GDQS against nutrient adequacy and noncommunicable disease (NCD)-related outcomes. The GDQS application uses a 24-h open-recall to collect a full list of all foods consumed during the previous day or night, and automatically classifies them into corresponding GDQS food group. Respondents use a set of 10 cubes in a range of predetermined sizes to determine if the quantity consumed per GDQS food group was below, or equal to or above food group-specific cutoffs established in grams. Because there is only a total of 10 cubes but as many as 54 cutoffs for the GDQS food groups, the operationalized cutoffs differ slightly from the original GDQS cutoffs. A secondary analysis using 5 cross-sectional datasets comparing the GDQS with the original and operationalized cutoffs showed that the operationalized GDQS remained strongly correlated with nutrient adequacy and was equally sensitive to anthropometric and other clinical measures of NCD risk. In a secondary analysis of a longitudinal cohort study of Mexican teachers, there were no differences between the 2 modalities with the beta coefficients per 1 SD change in the original and operationalized GDQS scores being nearly identical for weight gain (-0.37 and -0.36, respectively, P < 0.001 for linear trend for both models) and of the same clinical order of magnitude for waist circumference (-0.52 and -0.44, respectively, P < 0.001 for linear trend for both models). The operationalized GDQS cutoffs did not change the performance of the GDQS and therefore are recommended for use to collect GDQS data in the future.
Sections du résumé
BACKGROUND
The global diet quality score (GDQS) is a simple, standardized metric appropriate for population-based measurement of diet quality globally.
OBJECTIVES
We aimed to operationalize data collection by modifying the quantity of consumption cutoffs originally developed for the GDQS food groups and to statistically evaluate the performance of the operationalized GDQS relative to the original GDQS against nutrient adequacy and noncommunicable disease (NCD)-related outcomes.
METHODS
The GDQS application uses a 24-h open-recall to collect a full list of all foods consumed during the previous day or night, and automatically classifies them into corresponding GDQS food group. Respondents use a set of 10 cubes in a range of predetermined sizes to determine if the quantity consumed per GDQS food group was below, or equal to or above food group-specific cutoffs established in grams. Because there is only a total of 10 cubes but as many as 54 cutoffs for the GDQS food groups, the operationalized cutoffs differ slightly from the original GDQS cutoffs.
RESULTS
A secondary analysis using 5 cross-sectional datasets comparing the GDQS with the original and operationalized cutoffs showed that the operationalized GDQS remained strongly correlated with nutrient adequacy and was equally sensitive to anthropometric and other clinical measures of NCD risk. In a secondary analysis of a longitudinal cohort study of Mexican teachers, there were no differences between the 2 modalities with the beta coefficients per 1 SD change in the original and operationalized GDQS scores being nearly identical for weight gain (-0.37 and -0.36, respectively, P < 0.001 for linear trend for both models) and of the same clinical order of magnitude for waist circumference (-0.52 and -0.44, respectively, P < 0.001 for linear trend for both models).
CONCLUSION
The operationalized GDQS cutoffs did not change the performance of the GDQS and therefore are recommended for use to collect GDQS data in the future.
Identifiants
pubmed: 34689193
pii: S0022-3166(22)00483-7
doi: 10.1093/jn/nxab196
pmc: PMC8542098
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
176S-184SInformations de copyright
Copyright © The Author(s) on behalf of the American Society for Nutrition 2021.
Références
Lancet. 2017 Sep 16;390(10100):1345-1422
pubmed: 28919119
N Engl J Med. 2020 Feb 13;382(7):644-654
pubmed: 32053300
Lancet Planet Health. 2020 Aug;4(8):e352-e370
pubmed: 32800153
J Acad Nutr Diet. 2021 May;121(5):854-871.e6
pubmed: 33602635