Warning labels for sugar-sweetened beverages and fruit juice: evaluation of 27 different labels on health effects, sugar content, energy and exercise equivalency

Public Health(2024)

引用 0|浏览3
暂无评分
摘要
Objectives Front-of-pack warning labels may reduce consumption of sugar-sweetened beverages, potentially mitigating negative health outcomes. Comparisons between different warning label types to inform future research and policy directions are lacking. This study compared 27 warning labels across six message types for their potential to reduce sugar-sweetened beverage consumption. Design and methods A national sample of regular soda (n = 2578) and juice (n = 1048) consumers aged 14–60 years participated in an online survey. Participants evaluated randomly allocated labels; one from each of six warning label sets (health-graphic, sugar-pictogram, sugar-text, exercise equivalents, health-text, energy information) on four measures of perceived effectiveness (PE: overall effectiveness, discourage from drinking, emotional response, persuasive potential). Participants could also provide open comments. A general linear model compared differences in mean scores across label sets for each measure of PE. Results PE ratings differed significantly between label sets. Labels clearly quantifying sugar content (sugar-teaspoons) received consistently high PE ratings, whereas ‘high in sugar’ labels did not. Health-graphic labels were rated highly across all PE measures except persuasive potential. Exercise labels only rated highly on persuasive potential. Health-text results were mixed, and energy labels were consistently low. Conclusions Simple, factual labels were easily interpreted and perceived as most effective. Labels quantifying sugar content were consistently high performers and should be advanced into policy to help decrease overconsumption of sugar-sweetened beverages.
更多
查看译文
关键词
Front-of-pack labels,FOPL,Warning labels,Sugar-sweetened beverages,Sugary drinks,Fruit juice,Population survey
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要