Dataset Information

Sociodemographic disparities in purchases of fruit drinks with policy relevant front-of-package nutrition claims.

ABSTRACT:

Objective

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.

Design

Cross-sectional.

Setting

USA.

Participants

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.

Results

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).

Conclusions

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.

SUBMITTER: Duffy E

PROVIDER: S-EPMC10410375 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Sociodemographic disparities in purchases of fruit drinks with policy relevant front-of-package nutrition claims.

Duffy Emily E Ng Shu Wen SW Hall Marissa G MG Bercholz Maxime M Rebolledo Natalia N Musicus Aviva A Taillie Lindsey Smith LS

Public health nutrition 20230522 8

<h4>Objective</h4>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.<h4>Design</h4>Cross-sectional.<h4>Setting</h4>USA.<h4>Participants</h4>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 predicte ...[more]

PMID: 37211358

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Project description:BackgroundFruit drinks are the most commonly consumed sugar-sweetened beverage among young children. Fruit drinks carry many nutrition-related claims on the front of package (FOP). Nutrition-related claims affect individuals' perceptions of the healthfulness of products and purchase intentions, often creating a "health halo" effect.ObjectiveThe aims of this study were to describe the prevalence of FOP nutrition-related claims on fruit drinks purchased by households with young children and to examine the association between claims and the nutritional profile of fruit drinks.DesignThe sample included 2059 fruit drinks purchased by households with children 0 to 5 years old participating in Nielsen Homescan in 2017. FOP labels were obtained from 2 databases that contain bar code-level information on all printed material on product labels. A codebook was used to code for presence of FOP nutrition-related claims. The coded claims data were linked by bar code with Nutrition Facts label data. Claim type prevalence was calculated, and the association between claim types and median calories and total grams of sugar per 100 mL was analyzed using Wilcoxon rank-sum tests. The percentages of products containing noncaloric sweeteners (NCSs) with and without each claim type were also calculated and compared.ResultsAlmost all (97%) fruit drinks sampled had at least 1 nutrition-related FOP claim. Implied natural claims such as "natural flavors" were the most common (55% of products), followed by claims about the presence of juice or nectar (49%). Claims about vitamin C (33%), sugar (29%), and calories (23%) were also common. Fruit drinks with vitamin C, juice or nectar, fruit or fruit flavor, and overt natural claims were higher in calories and sugar and less likely to contain NCSs compared with products without these claims. Fruit drinks with calorie, sugar, NCS, implied natural, and other claims were lower in calories and sugar and more likely to contain NCSs compared with products without these claims.ConclusionsClaims are prevalent on fruit drinks purchased by households with young children. This is concerning given prior research demonstrating that claims can mislead consumers. Regulatory actions such as requiring a warning or disclosure on drinks that contain added sugars or NCSs should be considered.

Project description:BACKGROUND:Sugar taxes and front-of-package (FOP) nutrition labelling systems are strategies to address diet-related non-communicable diseases. However, there is relatively little experimental data on how these strategies influence consumer behavior and how they may interact. This study examined the relative impact of different sugar taxes and FOP labelling systems on beverage and snack food purchases. METHODS:A total of 3584 Canadians 13 years and older participated in an experimental marketplace study using a 5 (FOP label condition) × 8 (tax condition) between-within group experiment. Participants received $5 and were presented with images of 20 beverages and 20 snack foods available for purchase. Participants were randomized to one of five FOP label conditions (no label; 'high in' warning; multiple traffic light; health star rating; nutrition grade) and completed eight within-subject purchasing tasks with different taxation conditions (beverages: no tax, 20% tax on sugar-sweetened beverages (SSBs), 20% tax on sugary drinks, tiered tax on SSBs, tiered tax on sugary drinks; snack foods: no tax, 20% tax on high-sugar foods, tiered tax on high-sugar foods). Upon conclusion, one of eight selections was randomly chosen for purchase, and participants received the product and any change. RESULTS:Compared to those who saw no FOP label, participants who viewed the 'high in' symbol purchased less sugar (- 2.5 g), saturated fat (- 0.09 g), and calories (- 12.6 kcal) in the beverage purchasing tasks, and less sodium (- 13.5 mg) and calories (- 8.9 kcal) in the food tasks. All taxes resulted in substantial reductions in mean sugars (- 1.4 to - 4.7 g) and calories (- 5.3 to - 19.8 kcal) purchased, and in some cases, reductions in sodium (- 2.5 to - 6.6 mg) and saturated fat (- 0.03 to - 0.08 g). Taxes that included 100% fruit juice ('sugary drink' taxes) produced greater reductions in sugars and calories than those that did not. CONCLUSIONS:This study expands the evidence indicating the effectiveness of sugar taxation and FOP labelling strategies in promoting healthy food and beverage choices. The results emphasize the importance of applying taxes to 100% fruit juice to maximize policy impact, and suggest that nutrient-specific FOP 'high in' labels may be more effective than other common labelling systems at reducing consumption of targeted nutrients.

Project description:BackgroundFront-of-package labelling regulations proposed by Health Canada in their Healthy Eating Strategy (2016) were finally passed in 2022, but remain unimplemented. This study analyzed interactions that occurred between stakeholders and government related to this policy proposal to identify key themes and policy implications.MethodsA qualitative framework analysis was conducted on publicly available documents for stakeholder correspondences related to front-of-package that occurred between 2016 and 2019 in Health Canada's Meetings and Correspondence on Healthy Eating database. Five sequential steps were applied: familiarization, identifying a thematic framework, indexing, charting, and mapping and interpretation. A complex systems (i.e., a dynamic system with multiple interconnecting components) lens was incorporated in the final step to deepen the analysis.ResultsHundred and seventy-three documents were included, the majority from industry stakeholders (n = 108, 62.4%). Three overarching themes were identified: industry trying to control the agenda and resist regulation; questioning the evidence supporting the policy and its impact on the agri-food industry; and dismissing the need and effectiveness of the policy. Incorporating a complex system lens found industry and non-industry stakeholders held markedly different perspectives on how cohesive the system defined by the front-of-package labelling policy was, and the policy impact on its stability. Economic and opportunity costs were the main trade-offs, and symbol misinterpretation considered an unintended consequence by industry. Finally, some stakeholders argued for wider policy scope incorporating more products, while others requested a narrower approach through exemptions.ConclusionInteractions with industry stakeholders on health food policy proposals require careful consideration, given it may suit their interests to generate delays and policy discordance. Explicitly setting out the principles of engagement and actively encouraging non-industry stakeholder representation provides a more balanced approach to policy consultation and development.

Dataset Information

Sociodemographic disparities in purchases of fruit drinks with policy relevant front-of-package nutrition claims.

Objective

Design

Setting

Participants

Results

Conclusions

Publications

Sociodemographic disparities in purchases of fruit drinks with policy relevant front-of-package nutrition claims.

Similar Datasets

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