Objective: To assess the validity of the Market Basket Analysis Tool (MBAT) for food environment quality within various retail environments compared to the Nutrition Environment Measures Survey in Stores (NEMS-S).
Methods: In-store assessments using the MBAT and the NEMS-S on the same day in a given store were conducted in grocery stores, corner stores, pharmacies, and dollar stores in a metropolis, and urban and rural counties across 4 states: Louisiana, Mississippi, North Carolina, and Virginia. Descriptive statistics, correlations, and ANOVAs were used to assess store location, store type differences, and MBAT and NEMS-S scores.
Results: Market Basket Analysis Tool and NEMS-S data were collected from 114 stores. Market Basket Analysis Tool and NEMS-S total and all individual component scores were significantly correlated (r = 0.84, P ≤ 0.0001; r range, 0.51-0.88; P ≤ 0.0001).
Conclusions And Implications: The MBAT offers a methodology to measure the food retail environment focusing on the availability of healthful food items with a reduced training time and streamlined data collection compared with the NEMS-S. Future work can assess the completion time of the MBAT compared with the NEMS-S and the ability of the MBAT to detect changes in food environment quality post healthy food retail interventions.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jneb.2022.02.018 | DOI Listing |
Nutr Bull
October 2024
Department of Nutrition and Dietetics, School of Health Sciences and Education, Harokopio University of Athens, Athens, Greece.
The high cost of gluten-free products (GFPs) is being discussed as a potential barrier to adherence to a gluten-free diet, rendering monitoring of their pricing an ongoing demand in a market subject to continuous fluctuations. The current study aimed to assess the current pricing status of GFPs in the Greek retail market, with a focus on differences between staple and non-staple foods. The retail price and packaging weight of all available GFPs and their gluten-containing (GCPs) counterparts of a GFP-shopping basket (formulated based on the results of a preceding online survey) were recorded by visiting one store of the five most popular reported supermarket chains.
View Article and Find Full Text PDFPublic Health Nutr
October 2024
Food is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
Objective: Nutrition labelling is mandatory on food products in retail stores, but compliance in the rapidly expanding online setting remains unclear. We assessed mandatory and voluntary labelling information across major U.S.
View Article and Find Full Text PDFFoods
October 2024
Department of Agribusiness and Markets, Lincoln University, Lincoln 7647, New Zealand.
Across the world and within Europe, a growing number of consumers are choosing to buy gluten-free products. Motivations for a gluten-free diet and the consequences of consuming gluten are varied, from a medical necessity for those diagnosed with celiac disease to a range of health complications and discomfort for those who are gluten-intolerant. In this research, 7296 gluten-free consumers across 13 European countries responded to an online survey on the 33 types of gluten-free products purchased, how frequently they purchased them, their satisfaction with gluten-free quality and availability, the problems they have experienced, and the strategies they have employed to cope with these problems.
View Article and Find Full Text PDFIsotopes Environ Health Stud
December 2024
Faculty of Medicine, Koya University, Koya, Iraq.
This study investigates the activity concentration of natural radionuclides in a diverse range of food samples in the Koya district markets food baskets, including both domestic and imported products. The samples cover annual crops (e.g.
View Article and Find Full Text PDFHeliyon
September 2024
Guangdong University of Technology, School of Computer Science and Technology, Guangzhou, 510006, China.
Periodic high-utility itemset (PHUI) mining can extend beyond the conventional approach of high-utility itemset mining by uncovering recurring customer purchase behaviors common in real-life scenarios (e.g., buying apples and oranges every three days or weekly).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!