Development and Validation of a Novel Food-Based Global Diet Quality Score (GDQS).

Background: Poor diet quality is a major driver of both classical malnutrition and noncommunicable disease (NCD) and was responsible for 22% of adult deaths in 2017. Most countries face dual burdens of undernutrition and NCDs, yet no simple global standard metric exists for monitoring diet quality in populations and population subgroups.

Objectives: We aimed to develop an easy-to-use metric for nutrient adequacy and diet related NCD risk in diverse settings.

Changes in the Global Diet Quality Score, Weight, and Waist Circumference in Mexican Women.

Background: Evidence on concurrent changes in overall diet quality and weight and waist circumference in women of reproductive age from low- and middle-income countries is limited.

Objectives: We examined the associations of changes in the Global Diet Quality Score (GDQS) and each GDQS food group with concurrent weight and waist circumference change in Mexican women.

Methods: We followed prospectively 8967 nonpregnant nonlactating women aged 25-49 y in the Mexican Teachers' Cohort between 2006 and 2008.

There's an App for That: Development of an Application to Operationalize the Global Diet Quality Score.

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.