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).


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
Historique:
received: 03 03 2021
revised: 28 05 2021
accepted: 11 06 2021
entrez: 24 10 2021
pubmed: 25 10 2021
medline: 11 11 2021
Statut: ppublish

Résumé

In India, there is a need to monitor population-level trends in changes in diet quality in relation to both undernutrition and noncommunicable diseases. We conducted a study to validate a novel diet quality score in southern India. We 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). The 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. The 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.

Sections du résumé

BACKGROUND
In India, there is a need to monitor population-level trends in changes in diet quality in relation to both undernutrition and noncommunicable diseases.
OBJECTIVES
We conducted a study to validate a novel diet quality score in southern India.
METHODS
We 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).
RESULTS
The 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.
CONCLUSIONS
The 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.

Identifiants

pubmed: 34689191
pii: S0022-3166(22)00475-8
doi: 10.1093/jn/nxab217
pmc: PMC8564710
doi:

Substances chimiques

Dietary Fats 0
Micronutrients 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

101S-109S

Subventions

Organisme : Wellcome Trust
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 070797
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 083707
Pays : United Kingdom
Organisme : Wellcome Trust
ID : 084754
Pays : United Kingdom

Informations de copyright

Copyright © The Author(s) on behalf of the American Society for Nutrition 2021.

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Auteurs

Mika Matsuzaki (M)

Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Nick Birk (N)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Sabri Bromage (S)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Liza Bowen (L)

King's College, Department of Population Health Sciences, London, United Kingdom.

Carolina Batis (C)

CONACYT-Health and Nutrition Research Center, National Institute of Public Health, Cuernavaca, Mexico.

Teresa T Fung (TT)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Department of Nutrition, Simmons University, Boston, MA, USA.

Yanping Li (Y)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Meir J Stampfer (MJ)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Megan Deitchler (M)

Intake-Center for Dietary Assessment, FHI Solutions, Washington, DC, USA.

Walter C Willett (WC)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.

Wafaie W Fawzi (WW)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Sanjay Kinra (S)

London School of Hygiene and Tropical Medicine, London, United Kingdom.

Shilpa N Bhupathiraju (SN)

Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, USA.

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Classifications MeSH