Dataset Information

Processing level and diet quality of the US grocery cart: is there an association?

ABSTRACT:

Objective

The majority of groceries purchased by US households are industrially processed, yet it is unclear how processing level influences diet quality. We sought to determine if processing level is associated with diet quality of grocery purchases.

Design

We analysed grocery purchasing data from the National Household Food Acquisition and Purchase Survey 2012-2013. Household grocery purchases were categorized by the NOVA framework as minimally processed, processed culinary ingredients, processed foods or ultra-processed foods. The energy share of each processing level (percentage of energy; %E) and Healthy Eating Index-2015 (HEI-2015) component and total scores were calculated for each household's purchases. The association between %E from processed foods and ultra-processed foods, respectively, and HEI-2015 total score was determined by multivariable linear regression. Foods purchased by households with the highest v. lowest ultra-processed food purchases and HEI-2015 total score <40 v. ≥60 were compared using linear regression.

Setting

USA.

Participants

Nationally representative sample of 3961 households.

Results

Processed foods and ultra-processed foods provided 9·2 (se 0·3) % and 55·8 (se 0·6) % of purchased energy, respectively. Mean HEI-2015 score was 54·7 (se 0·4). Substituting 10 %E from minimally processed foods and processed culinary ingredients for ultra-processed foods decreased total HEI-2015 score by 1·8 points (β = -1·8; 95 % CI -2·0, -1·5). Processed food purchases were not associated with diet quality. Among households with high ultra-processed food purchases, those with HEI-2015 score <40 purchased less minimally processed plant-foods than households with HEI-2015 score ≥60.

Conclusions

Increasing purchases of minimally processed foods, decreasing purchases of ultra-processed foods and selecting healthier foods at each processing level may improve diet quality.

SUBMITTER: Juul F

PROVIDER: S-EPMC10260454 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Processing level and diet quality of the US grocery cart: is there an association?

Juul Filippa F Simões Bárbara Dos Santos BDS Litvak Jacqueline J Martinez-Steele Euridice E Deierlein Andrea A Vadiveloo Maya M Parekh Niyati N

Public health nutrition 20190613 13

<h4>Objective</h4>The majority of groceries purchased by US households are industrially processed, yet it is unclear how processing level influences diet quality. We sought to determine if processing level is associated with diet quality of grocery purchases.<h4>Design</h4>We analysed grocery purchasing data from the National Household Food Acquisition and Purchase Survey 2012-2013. Household grocery purchases were categorized by the NOVA framework as minimally processed, processed culinary ingr ...[more]

PMID: 31190676

Similar Datasets

Project description:BackgroundThe home food environment can shape the diets of young children. However, little is known about modifiable factors that influence home food availability and dietary intake.ObjectiveThe purpose of this study was to examine the relationship between grocery shopping frequency with home- and individual-level diet quality.DesignThis was a secondary, cross-sectional analyses of data from the Study on Children's Home Food Availability Using TechNology. Data were collected in the homes of participants from November 2014 through March 2016.Participants/settingsA purposive sample of 97 low-income African American and Hispanic or Latinx parent-child dyads residing in Chicago, IL, enrolled in the study.Main outcome measuresThe main outcomes were home- and individual-level diet quality. Healthy Eating Index-2010 (HEI-2010) scores were calculated from home food inventory data collected in participants' homes to assess home-level diet quality. To assess individual-level diet quality, HEI-2010 scores were based on multiple 24-hour diet recalls from parent-child dyads.Statistical analysesGrocery shopping frequency was examined in relation to diet quality at the home and individual levels. Grocery shopping frequency was defined as the number of times households shopped on a monthly basis (ie, once a month, twice a month, 3 times a month, or 4 times or more a month). Multivariable linear regression analysis, controlling for covariates, tested the relationships between grocery shopping frequency and HEI-2010 total and component scores at the home and individual levels.ResultsGrocery shopping frequency was positively associated with home-level HEI-2010 scores for total diet, whole grains, and empty calories (higher scores reflect better diet quality) and with individual-level HEI-2010 scores for total and whole fruit (parents only), vegetables (children only), and sodium (children only).ConclusionsGrocery shopping frequency was associated with multiple dimensions of diet quality at the home and individual levels. These results offer a potential strategy to intervene on home food availability and individual dietary intake.

Project description:BackgroundFew low-burden indicators of diet quality exist to track trends over time at low cost and with low technical expertise requirements.ObjectiveThe aim was to develop and validate a suite of low-burden indicators to reflect adherence to global dietary recommendations.MethodsUsing nationally representative, cross-sectional, quantitative dietary intake datasets from Brazil and the United States, we tested the association of food-group scores with quantitative consumption aligned with 11 global dietary recommendations. We updated the Healthy Diet Indicator (HDI) to include current quantifiable recommendations of the WHO (HDI-2020). We developed 3 food-group-based scores-an overall Global Dietary Recommendations (GDR) score as an indicator of all 11 recommendations composed of 2 subcomponents: GDR-Healthy, an indicator of the recommendations on "healthy" foods, and GDR-Limit, an indicator of the recommendations on dietary components to limit. We tested associations between these scores and the HDI-2020 and its respective subcomponents. We developed 9 dichotomous food-group-based indicators to reflect adherence to the global recommendations for fruits and vegetables, dietary fiber, free sugars, saturated fat, total fat, legumes, nuts and seeds, whole grains, and processed meats. We conducted receiver operating characteristic and sensitivity-specificity analyses to determine whether the dichotomous indicators were valid to predict adherence to the recommendations in both countries.ResultsThe GDR score and its subcomponents were moderately to strongly associated with the HDI-2020 and its respective subcomponents (absolute values of rank correlation coefficients ranged from 0.55 to 0.66). Of the 9 dichotomous indicators, 8 largely met the criteria for predicting individual global dietary recommendations in both countries; 1 indicator (total fat) did not perform satisfactorily.ConclusionsFood-group consumption data can be used to indicate adherence to quantitative global dietary recommendations at population level. These indicators may be used to track progress of countries and populations toward meeting WHO guidance on healthy diets.

Dataset Information

Processing level and diet quality of the US grocery cart: is there an association?

Objective

Design

Setting

Participants

Results

Conclusions

Publications

Processing level and diet quality of the US grocery cart: is there an association?

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets