Search Results (6)

Plant-based diets are recommended for personal health and to protect the environment. Plant-based protein foods available in supermarkets include traditional options, such as canned and dried legumes, and an increasing range of meat analogues such as plant-based sausages. This study aims to compare the nutritional content, healthiness, and cost of canned and reconstituted dried legumes with the same factors of plant-based meat alternatives. Information on the nutritional content, ingredients, and nutrient claims of canned legumes (N = 112), dried legumes (N = 21), and meat alternatives (tofu, felafels, and meat analogues) (N = 68) was obtained from Nutritrack (2019), a database of New Zealand (NZ) packaged foods available in supermarkets. The mean (SD) energy, protein, total fat, sodium, and fibre content, and the proportion of products fortified with iron, B₁₂, and zinc was calculated. Healthiness was assessed using estimated Health Star Rating (HSR) and comparison with United Kingdom (UK) sodium targets. Product data were linked with household purchasing data from Nielsen Homescan^® to compare the mean purchase price/100 g. The number and type of nutrient claims on packaging were identified. All canned and dried legumes and plain tofu scored an HSR ≥ 3.5; for other sub-categories of meat alternatives, 29% or fewer products scored ≥3.5. Although all tofu met UK sodium targets, less than half of the products within other categories met the associated target; meat alternatives (46%), canned legumes (21%), and baked beans (17%). Reconstituted dried legumes were the cheapest plant protein source (Mean = NZ$0.30, SD = 0.16/100 g (lowest of four categories)) compared to meat alternatives (‘Other’ meat-free products mean = NZ$2.57, SD = 0.88/100 g (highest of six categories)). The most common nutrient claims on meat alternatives were vegetarian/vegan, protein, and dietary fibre. Fifteen percent of meat alternatives were fortified with iron, and 12% each for Vitamin B12 and zinc. Although meat alternatives offer consumers more choice, these products may be less healthy and are more expensive than the more traditional plant-based protein sources—canned and dried legumes. Full article

Consumers in the U.S. increasingly prefer plant-based milk alternative beverages (abbreviated “plant milk”) to conventional milk. This study is motivated by the need to take into consideration varied nutritional and qualitative attributes in plant milk to examine consumers’ purchasing behavior and estimate demand elasticities which are achieved by a new approach combing hedonic pricing model with Barten’s synthetic demand system. The method of estimation is enlightened from the common practice of companies differentiating their products in multidimensions in terms of attributes. A research dataset was uniquely created by associating the products’ purchase data from Nielsen Homescan dataset with exclusive first-hand nutritional data. Estimations began with creating a multidimensional hedonic attribute space based on the qualitative information of different types of plant milk and conventional milk available to consumers and then calculating the hedonic distances by Euclidean distance measurement to reparametrize Barten’s synthetic demand system. Estimation results showed that the highest own-price elasticity pertained to soy milk which was −0.25. Three plant milk types had inelastic demand. Soy milk exerted substituting effects on all types of conventional milk products and vice versa. Soy milk, rice milk and almond milk entertained complementary relationships between each other and four types of conventional milk were strong substitutes within the group. Full article

The U.S. food system is rapidly changing, including the growth of mass merchandisers and dollar stores, which may impact the quality of packaged food purchases (PFPs). Furthermore, diet-related disparities exist by socioeconomic status (SES) and rural residence. We use data from the 2010–2018 Nielsen Homescan Panel to describe the nutritional profiles of PFPs by store type and to assess whether these vary by household urbanicity and SES. Store types include grocery stores, mass merchandisers, club stores, online shopping, dollar stores, and convenience/drug stores. Food and beverage groups contributing the most calories at each store type are estimated using survey-weighted means, while the associations of urbanicity and SES with nutritional quality are estimated using multivariate regression. We find that households that are customers at particular store types purchase the same quality of food regardless of urbanicity or SES. However, we find differences in the quality of foods between store types and that the quantity of calories purchased at each store type varies according to household urbanicity and SES. Rural shoppers tend to shop more at mass merchandisers and dollar stores with less healthful PFPs. We discuss implications for the types of store interventions most relevant for improving the quality of PFPs. Full article

Considerable research on the risk factors of obesity and chronic diseases has focused on relationships between where people live, where they shop, and the types of food they purchase. Rarely have investigators used a national sample and explicitly addressed the amount of energy-dense and nutrient-poor foods purchased in different types of neighborhood food stores. Even more rarely have studies accounted for the characteristics of the broader built environment in which food stores are located and which affect the convenience of using neighborhood food stores. We used a large population-based cohort of predominantly white U.S. households from the Nielsen Homescan Consumer Panel 2010 dataset to examine whether there were positive cross-sectional associations between availability of neighborhood convenience stores and supermarkets and self-reported household annual expenditures for snacks and beverages. We examined this relationship separately for poor and non-poor households as defined by the 2010 U.S. federal poverty threshold. We used mixed error-component regression models to examine associations between availability of neighborhood food stores and the expenditures on snacks and beverages, controlling for regional destination accessibility, availability and diversity of neighborhood destinations, and neighborhood street connectivity. In multivariate analyses, we observed that poor households in neighborhoods with few convenience stores purchased more snacks than poor households in neighborhoods with many convenience stores (b = −0.008, p < 0.05). Non-poor households in neighborhoods with many convenience stores and fewer supermarkets purchased more snacks than non-poor households in neighborhoods with few convenience stores and many supermarkets (b = 0.002, p < 0.05 for convenience stores; b = −0.027, p < 0.05 for supermarkets). Increase in number of convenience stores decreased the purchase of snacks by poor households, but increased in non-poor households. On other hand, increase in number of supermarkets discouraged purchase of snacks by non-poor households but had no effect on the purchasing behavior of the poor-households.Therefore, evaluation of access to energy-dense and nutrient-poor foods should include a consideration of geographic proximity. Local governments should consider strategies to expand the availability and access to nutrient-rich food and beverage products in convenience stores for consumers. Full article

This study uses retail purchase data reported by the Nielsen Homescan panel to examine the development of selected U.S. organic food sectors since the implementation of the National Organic Standards. Results show that organic market shares within the fresh fruit and vegetable sectors grew slightly in 2003–2006. Apples, bananas, carrots, and tomatoes prove to have the highest share of organic sales within their sectors. The share of organic milk sales attributed to private labels has increased from 12 to 32 percent in 2004–2007. The organic market share within the strained baby food sector almost doubled from 8 to 15 percent in 2004–2007. Findings show a demographically diverse group of consumers willing to expend their food dollars on organic foods. Full article

Using retail purchase data reported by Nielsen’s Homescan panel this study investigates the U.S. demand for organic and conventional fresh fruits. The study fills an important research void by estimating the much needed income and price elasticities for organic and conventional fruits utilizing a censored demand approach. Household income is found to affect organic fruit consumption. Consumers are more responsive to price of organic fruits than to price of conventional fruits. Cross-price effects suggest that a change in relative prices will more likely induce consumers to “cross-over” from buying conventional fruits to buying organic fruits, while it is less likely that organic consumers will “revert” to buying conventional fruits. Full article