Literature DB >> 31190676

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

Filippa Juul1, Bárbara Dos Santos Simões2, Jacqueline Litvak1, Euridice Martinez-Steele3,4, Andrea Deierlein1, Maya Vadiveloo5, Niyati Parekh1,6.   

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.

Entities:  

Keywords:  Diet quality; FoodAPS; Healthy Eating Index-2015; NOVA; Ultra-processed food

Mesh:

Year:  2019        PMID: 31190676     DOI: 10.1017/S1368980019001344

Source DB:  PubMed          Journal:  Public Health Nutr        ISSN: 1368-9800            Impact factor:   4.022


  7 in total

Review 1.  Ultra-processed Foods and Cardiometabolic Health Outcomes: from Evidence to Practice.

Authors:  Filippa Juul; Andrea L Deierlein; Georgeta Vaidean; Paula A Quatromoni; Niyati Parekh
Journal:  Curr Atheroscler Rep       Date:  2022-09-07       Impact factor: 5.967

2.  Consumption of Ultraprocessed Foods and Diet Quality Among U.S. Children and Adults.

Authors:  Junxiu Liu; Euridice Martinez Steele; Yan Li; Dimitra Karageorgou; Renata Micha; Carlos A Monteiro; Dariush Mozaffarian
Journal:  Am J Prev Med       Date:  2021-11-06       Impact factor: 6.604

3.  Perspective: Unpacking the Wicked Challenges for Alternative Proteins in the United States: Can Highly Processed Plant-Based and Cell-Cultured Food and Beverage Products Support Healthy and Sustainable Diets and Food Systems?

Authors:  Vivica I Kraak
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

4.  Degree of food processing and breast cancer risk in black urban women from Soweto, South African: the South African Breast Cancer study.

Authors:  Inarie Jacobs; Christine Taljaard-Krugell; Mariaan Wicks; Herbert Cubasch; Maureen Joffe; Ria Laubscher; Isabelle Romieu; Renata B Levy; Fernanda Rauber; Carine Biessy; Sabina Rinaldi; Inge Huybrechts
Journal:  Br J Nutr       Date:  2022-02-03       Impact factor: 4.125

5.  Association of ultra-processed food consumption with cardiovascular mortality in the US population: long-term results from a large prospective multicenter study.

Authors:  Guo-Chao Zhong; Hai-Tao Gu; Yang Peng; Kang Wang; You-Qi-Le Wu; Tian-Yang Hu; Feng-Chuang Jing; Fa-Bao Hao
Journal:  Int J Behav Nutr Phys Act       Date:  2021-02-03       Impact factor: 6.457

6.  Sociodemographic Differences in the Dietary Quality of Food-at-Home Acquisitions and Purchases among Participants in the U.S. Nationally Representative Food Acquisition and Purchase Survey (FoodAPS).

Authors:  Maya K Vadiveloo; Haley W Parker; Filippa Juul; Niyati Parekh
Journal:  Nutrients       Date:  2020-08-07       Impact factor: 5.717

7.  The Effects of Time-Restricted Eating versus Standard Dietary Advice on Weight, Metabolic Health and the Consumption of Processed Food: A Pragmatic Randomised Controlled Trial in Community-Based Adults.

Authors:  Nicholas Edward Phillips; Julie Mareschal; Nathalie Schwab; Emily N C Manoogian; Sylvie Borloz; Giada Ostinelli; Aude Gauthier-Jaques; Sylvie Umwali; Elena Gonzalez Rodriguez; Daniel Aeberli; Didier Hans; Satchidananda Panda; Nicolas Rodondi; Felix Naef; Tinh-Hai Collet
Journal:  Nutrients       Date:  2021-03-23       Impact factor: 5.717

  7 in total

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