Marissa G Hall, Cristina J Y Lee, Aline D'Angelo Campos, Natalicio Serrano, Lindsey Smith Taillie, Jennifer Falbe, Aviva Musicus, Callie Whitesell, Angela Viviana Martinez, Anna H Grummon
{"title":"美国拉丁裔人群包装正面营养标签的随机对照试验。","authors":"Marissa G Hall, Cristina J Y Lee, Aline D'Angelo Campos, Natalicio Serrano, Lindsey Smith Taillie, Jennifer Falbe, Aviva Musicus, Callie Whitesell, Angela Viviana Martinez, Anna H Grummon","doi":"10.1016/j.amepre.2025.108122","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>The effects of front-of-package nutrition labels among Latino adults in the US, including those with limited English proficiency, remains largely unknown. The FDA has considered a high-in label stating when foods are high in nutrients of concern, but the design differs from Latin American high-in labels in several ways. This study examined the impact of FDA-style high-in labels among Latino consumers.</p><p><strong>Study design: </strong>Online randomized trial in 2024.</p><p><strong>Setting/participants: </strong>3,053 Latino US adults (49% limited English proficiency).</p><p><strong>Intervention: </strong>Participants viewed one of three labels: numerical labels displaying numerical information about added sugar, saturated fat, and sodium; text high-in labels; and icon high-in labels identical to the text labels plus a magnifying glass icon.</p><p><strong>Main outcome measures: </strong>Participants viewed three frozen pies, three frozen pizzas, and three frozen meals displaying randomly assigned labels and identified the healthiest and least healthy product within each group (based on nutrient content). Analyses were conducted in 2025.</p><p><strong>Results: </strong>Text high-in labels (49% correct) led to higher correct identification of the least healthy foods compared to the numerical labels (44%, p<.001), but the icon high-in labels did not (47%, p=.07). Neither the text high-in labels (46% correct) nor the icon high-in labels (46%) led to better identification of the healthiest food compared to the numerical labels (45%, all p≥.71). Neither high-in label led to more correct identification of foods high in nutrients of concern or higher selection of the healthiest food for purchase compared to the numerical labels (all p≥.09). English proficiency moderated the impact of label type on correct identification of the least healthy food (p-interaction=.003) such that the benefit of high-in labels was only present for participants with high English proficiency.</p><p><strong>Conclusions: </strong>High-in labels helped Latino consumers identify unhealthy foods more than numerical labels, but only among those with high English proficiency.</p><p><strong>Trial registration: </strong>NCT06293963.</p>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":" ","pages":"108122"},"PeriodicalIF":4.5000,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An RCT of front-of-package nutrition labels in Latino populations in the US.\",\"authors\":\"Marissa G Hall, Cristina J Y Lee, Aline D'Angelo Campos, Natalicio Serrano, Lindsey Smith Taillie, Jennifer Falbe, Aviva Musicus, Callie Whitesell, Angela Viviana Martinez, Anna H Grummon\",\"doi\":\"10.1016/j.amepre.2025.108122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>The effects of front-of-package nutrition labels among Latino adults in the US, including those with limited English proficiency, remains largely unknown. The FDA has considered a high-in label stating when foods are high in nutrients of concern, but the design differs from Latin American high-in labels in several ways. This study examined the impact of FDA-style high-in labels among Latino consumers.</p><p><strong>Study design: </strong>Online randomized trial in 2024.</p><p><strong>Setting/participants: </strong>3,053 Latino US adults (49% limited English proficiency).</p><p><strong>Intervention: </strong>Participants viewed one of three labels: numerical labels displaying numerical information about added sugar, saturated fat, and sodium; text high-in labels; and icon high-in labels identical to the text labels plus a magnifying glass icon.</p><p><strong>Main outcome measures: </strong>Participants viewed three frozen pies, three frozen pizzas, and three frozen meals displaying randomly assigned labels and identified the healthiest and least healthy product within each group (based on nutrient content). Analyses were conducted in 2025.</p><p><strong>Results: </strong>Text high-in labels (49% correct) led to higher correct identification of the least healthy foods compared to the numerical labels (44%, p<.001), but the icon high-in labels did not (47%, p=.07). Neither the text high-in labels (46% correct) nor the icon high-in labels (46%) led to better identification of the healthiest food compared to the numerical labels (45%, all p≥.71). Neither high-in label led to more correct identification of foods high in nutrients of concern or higher selection of the healthiest food for purchase compared to the numerical labels (all p≥.09). English proficiency moderated the impact of label type on correct identification of the least healthy food (p-interaction=.003) such that the benefit of high-in labels was only present for participants with high English proficiency.</p><p><strong>Conclusions: </strong>High-in labels helped Latino consumers identify unhealthy foods more than numerical labels, but only among those with high English proficiency.</p><p><strong>Trial registration: </strong>NCT06293963.</p>\",\"PeriodicalId\":50805,\"journal\":{\"name\":\"American Journal of Preventive Medicine\",\"volume\":\" \",\"pages\":\"108122\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American Journal of Preventive Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.amepre.2025.108122\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, GENERAL & INTERNAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American Journal of Preventive Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.amepre.2025.108122","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, GENERAL & INTERNAL","Score":null,"Total":0}
An RCT of front-of-package nutrition labels in Latino populations in the US.
Introduction: The effects of front-of-package nutrition labels among Latino adults in the US, including those with limited English proficiency, remains largely unknown. The FDA has considered a high-in label stating when foods are high in nutrients of concern, but the design differs from Latin American high-in labels in several ways. This study examined the impact of FDA-style high-in labels among Latino consumers.
Study design: Online randomized trial in 2024.
Setting/participants: 3,053 Latino US adults (49% limited English proficiency).
Intervention: Participants viewed one of three labels: numerical labels displaying numerical information about added sugar, saturated fat, and sodium; text high-in labels; and icon high-in labels identical to the text labels plus a magnifying glass icon.
Main outcome measures: Participants viewed three frozen pies, three frozen pizzas, and three frozen meals displaying randomly assigned labels and identified the healthiest and least healthy product within each group (based on nutrient content). Analyses were conducted in 2025.
Results: Text high-in labels (49% correct) led to higher correct identification of the least healthy foods compared to the numerical labels (44%, p<.001), but the icon high-in labels did not (47%, p=.07). Neither the text high-in labels (46% correct) nor the icon high-in labels (46%) led to better identification of the healthiest food compared to the numerical labels (45%, all p≥.71). Neither high-in label led to more correct identification of foods high in nutrients of concern or higher selection of the healthiest food for purchase compared to the numerical labels (all p≥.09). English proficiency moderated the impact of label type on correct identification of the least healthy food (p-interaction=.003) such that the benefit of high-in labels was only present for participants with high English proficiency.
Conclusions: High-in labels helped Latino consumers identify unhealthy foods more than numerical labels, but only among those with high English proficiency.
期刊介绍:
The American Journal of Preventive Medicine is the official journal of the American College of Preventive Medicine and the Association for Prevention Teaching and Research. It publishes articles in the areas of prevention research, teaching, practice and policy. Original research is published on interventions aimed at the prevention of chronic and acute disease and the promotion of individual and community health.
Of particular emphasis are papers that address the primary and secondary prevention of important clinical, behavioral and public health issues such as injury and violence, infectious disease, women''s health, smoking, sedentary behaviors and physical activity, nutrition, diabetes, obesity, and substance use disorders. Papers also address educational initiatives aimed at improving the ability of health professionals to provide effective clinical prevention and public health services. Papers on health services research pertinent to prevention and public health are also published. The journal also publishes official policy statements from the two co-sponsoring organizations, review articles, media reviews, and editorials. Finally, the journal periodically publishes supplements and special theme issues devoted to areas of current interest to the prevention community.