Our objectives were to describe sociodemographic characteristics associated with the purchase of (1) any fruit drinks and (2) fruit drinks with specific front-of-package (FOP) nutrition claims.

Cross-sectional.

USA

We merged fruit drink purchasing data from 60 712 household-months from 5233 households with children 0–5 years participating in Nielsen Homescan in 2017 with nutrition claims data. We examined differences in predicted probabilities of purchasing any fruit drinks by race/ethnicity, income and education. We constructed inverse probability (IP) weights based on likelihood of purchasing any fruit drinks. We used IP-weighted multivariable logistic regression models to examine predicted probabilities of purchasing fruit drinks with specific FOP claims.

One-third of households with young children purchased any fruit drinks. Non-Hispanic (NH) Black (51·6 %), Hispanic (36·3 %), lower-income (39·3 %) and lower-educated households (40·9 %) were more likely to purchase any fruit drinks than NH White (31·3 %), higher-income (25·8 %) and higher-educated households (30·3 %) (all P < 0·001). In IP-weighted analyses, NH Black households were more likely to purchase fruit drinks with ‘Natural’ and fruit or fruit flavour claims (6·8 % and 3·7 %) than NH White households (4·5 % and 2·7 %) (both P < 0·01). Lower- and middle-income (15·0 % and 13·8 %) and lower- and middle-educated households (15·4 % and 14·5 %) were more likely to purchase fruit drinks with ‘100 % Vitamin C’ claims than higher-income (10·8 %) and higher-educated households (12·9 %) (all P < 0·025).

We found a higher likelihood of fruit drink purchases in lower-income, lower-educated, NH Black and Hispanic households. Experimental studies should determine if nutrition claims may be contributing to disparities in fruit drink consumption.

To estimate the prevalence of online grocery shopping in a nationally representative sample and describe demographic correlates with online grocery shopping.

The Nielsen COVID-19 Shopper Behavior Survey was administered to a subset of Nielsen National Consumer Panel participants in July 2020. We used survey weighted-multivariable logistic regression to examine demographic correlates of having ever online grocery shopped.

Online survey.

18 598 Nielsen National Consumer Panel participants in the USA.

Thirty-nine percent of respondents had purchased groceries online, and among prior purchasers, 89 % indicated that they would continue to online grocery shop in the next month. Canned/packaged foods were the most shopped for grocery category online, followed by beverages, fresh foods and lastly frozen foods. In adjusted analyses, younger respondents (39 years or less) were more likely (47 %) to have ever shopped for groceries online than older age groups (40–54 years, 55–64 years and 65+ years) (29 %, 22 % and 23 %, respectively, all P < 0·001). Those with greater than a college degree were more likely to have ever grocery shopped online (45 %) than respondents with some college education (39 %) and with a high school education or less (32 %) (both P < 0·001). Having children, having a higher income and experiencing food insecurity, particularly among higher income food-insecure households, were also associated with a higher probability of prior online grocery shopping.

The COVID-19 pandemic accelerated the transition to online grocery shopping. Future research should explore the nutrition implications of online grocery shopping.

In response to concern over rising sugar-sweetened beverage (SSB) consumption, in April 2018, South Africa became the first Sub-Saharan African (SSA) country to implement an SSB tax. We assess changes in pricing and acquisition of beverages from local supermarkets and small stores among 18–39-year-old adults living in one township in the Western Cape, before and after tax implementation. This study is among the first evaluations of an SSB tax on the local food environment in a low-income township.

Store beverage pricing and participant surveys were cross-sectional, analysed 1 month before and 11 months after implementation of the tax (March 2018 and March 2019).

Langa, Western Cape, South Africa

Surveyed participants were residents of Langa between 18 and 39 years old (n 2693 in 2018 and n 2520 in 2019)

Prices of taxed SSB increased significantly among small shops and supermarkets between 2018 and 2019. There were non-significant decreases in prices of untaxed beverages in small shops, but prices of untaxed beverages increased in supermarkets. Across all store types, there was a 9 percentage point decrease in the probability of purchasing regular soda weekly pre/post-implementation. Reductions in purchasing were larger in small shops than supermarkets.

We found some differential impacts of the levy on pricing and acquisition of beverages by retailer type in one low-income township. As other SSA countries consider similar fiscal policies to curb soda consumption, obesity and related diseases, this work can be used to understand the implications of these policies in the retail setting.

This study aimed to apply the newly developed Chile Adjusted Model (CAM) nutrient profiling model (NPM) to the food supply in South Africa (SA) and compare its performance against existing NPM as an indication of suitability for use to underpin food policies targeted at discouraging consumption of products high in nutrients associated with poor health.

Cross-sectional analysis of the SA-packaged food supply comparing the CAM to three other NPM: SA Health and Nutrition Claims (SA HNC), Chilean Warning Octagon (CWO) 2019, and Pan-American Health Organisation (PAHO) NPM.

The SA-packaged food supply based on products stocked by supermarkets in Cape Town, SA.

Packaged foods and beverages (n 6474) available in 2018 were analysed.

Forty-nine per cent of products contained excessive amounts of nutrients of concern (considered non-compliant) according to the criteria of all four models. Only 10·9 % of products were not excessive in any nutrients of concern (considered compliant) according to all NPM evaluated. The CAM had an overall non-compliance level of 73·2 % and was comparable to the CWO 2019 for foods (71·2 % and 71·1 %, respectively). The CAM was the strictest NPM for beverages (80·4 %) due to the criteria of non-sugar sweeteners and free sugars. The SA HNC was the most lenient with non-compliance at 52·9 %. This was largely due to the inclusion of nutrients to encourage, which is a criterion for this NPM.

For the purpose of discouraging products high in nutrients associated with poor health in SA, the CAM is a suitable NPM.

In 2018, Minneapolis began phased implementation of an ordinance to increase the local minimum wage to $15/h. We sought to determine whether the first phase of implementation was associated with changes in frequency of consumption of fruits and vegetables (F&V), whole-grain-rich foods, and foods high in added sugars among low-wage workers.

Natural experiment.

The Wages Study is a prospective cohort study of 974 low-wage workers followed throughout the phased implementation of the ordinance (2018–2022). We used difference-in-difference analysis to compare outcomes among workers in Minneapolis, Minnesota, to those in a comparison city (Raleigh, North Carolina). We assessed wages using participants’ pay stubs and dietary intake using the National Cancer Institute Dietary Screener Questionnaire.

Analyses use the first two waves of Wages data (2018 (baseline), 2019) and includes 267 and 336 low-wage workers in Minneapolis and Raleigh, respectively.

After the first phase of implementation, wages increased in both cities, but the increase was $0·84 greater in Minneapolis (P = 0·02). However, the first phase of the policy’s implementation was not associated with changes in daily frequency of consumption of F&V (IRR = 1·03, 95 % CI: 0·86, 1·24, P = 0·73), whole-grain-rich foods (IRR = 1·23, 95 % CI: 0·89, 1·70, P = 0·20), or foods high in added sugars (IRR = 1·13, 95 % CI: 0·86, 1·47, P = 0·38) among workers in Minneapolis compared to Raleigh.

The first phase of implementation of the Minneapolis minimum wage policy was associated with increased wages, but not with changes in dietary intake. Future research should examine whether full implementation is associated dietary changes.

To determine whether disparities exist in the nutritional quality of packaged foods and beverage purchases by household income, education and race/ethnicity and if they changed over time.

We used Nielsen Homescan, a nationally representative household panel, from 2008 to 2018 (n = 672 821 household-year observations). Multivariate, multilevel regressions were used to model the association between sociodemographic groups and a set of nutritional outcomes of public health interest, including nutrients of concern (sugar, saturated fat and Na) and calories from specific food groups (fruits, non-starchy vegetables, processed meats, sugar-sweetened beverages and junk foods).

Household panel survey.

Approximately 60 000 households each year from the USA.

Disparities were found by income and education for most outcomes and widened for purchases of fruits, vegetables and the percentage of calories from sugar between 2008 and 2018. The magnitude of disparities was largest by education. Disparities between Black and White households include the consumption of processed meats and the percentage of calories from sugar, while no disparities were found between White and Hispanic households. Disparities have been largely persistent, as any significant changes over time have been substantively small.

Policies to improve the healthfulness of packaged foods must be expanded beyond SSB taxes, and future research should focus on what mediates the relationship between education and diet so as not to exacerbate disparities.

To estimate changes in taxed and untaxed beverages by volume of beverage purchased after a sugar-sweetened beverage (SSB) tax was introduced in 2014 in Mexico.

We used household purchase data from January 2012 to December 2015. We first classified the sample into four groups based on pre-tax purchases of beverages: (i) higher purchases of taxed beverages and lower purchases of untaxed beverages (HTLU-unhealthier); (ii) higher purchases of both types of beverages (HTHU); (iii) lower purchases of taxed and untaxed beverages (LTLU); and (iv) lower purchases of taxed beverages and higher purchases of untaxed beverages (LTHU-healthier). Next, we estimated differences in purchases after the tax was implemented for each group compared with a counterfactual based on pre-tax trends using a fixed-effects model.

Areas with more than 50 000 residents in Mexico.

Households (n 6089).

The HTLU-unhealthier and HTHU groups had the largest absolute and relative reductions in taxed beverages and increased their purchases of untaxed beverages. Households with lower purchases of untaxed beverages (HTLU-unhealthier and LTLU) had the largest absolute and relative increases in untaxed beverages. We also found that among households with higher purchases of taxed beverages, the group with lowest socio-economic status had the greatest reduction in purchases of taxed beverages.

Evidence associating the SSB tax with larger reductions among high purchasers of taxed beverages prior to the tax is relevant, as higher SSB purchasers have a greater risk of obesity, diabetes and other cardiometabolic outcomes.

(i) To determine the current state of online grocery shopping, including individuals’ motivations for shopping for groceries online and types of foods purchased; and (ii) to identify the potential promise and pitfalls that online grocery shopping may offer in relation to food and beverage purchases.

PubMed, ABI/INFORM and Google Scholar were searched to identify published research.

To be included, studies must have been published between 2007 and 2017 in English, based in the USA or Europe (including the UK), and focused on: (i) motivations for online grocery shopping; (ii) the cognitive/psychosocial domain; and (iii) the community or neighbourhood food environment domain.

Our search yielded twenty-four relevant papers.

Findings indicate that online grocery shopping can be a double-edged sword. While it has the potential to increase healthy choices via reduced unhealthy impulse purchases, nutrition labelling strategies, and as a method to overcome food access limitations among individuals with limited access to a brick-and-mortar store, it also has the potential to increase unhealthy choices due to reasons such as consumers’ hesitance to purchase fresh produce online.

Additional research is needed to determine the most effective ways to positively engage customers to use online grocery shopping to make healthier choices.