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临床试验/NCT07227519
NCT07227519已完成不适用

Online Randomized Experiment Evaluating Ultra-Processed Food Warning Labels on Social Media Posts Among Teens and Young Adults

University of Tennessee2 个研究点 分布在 1 个国家目标入组 1,012 人开始时间: 2025年12月2日最近更新:
干预措施

试验速览

阶段
不适用
状态
已完成
入组人数
1,012
试验地点
2
主要终点
Consumer understanding

研究概览

简要总结

This study aims to evaluate whether Ultra-Processed Food (UPF) warning labels on social media posts improve consumer understanding and influence purchase intentions among teens and young adults. Participants aged 13-29 in the United States will be recruited and randomized into two groups: a control group (no label) and an intervention group (UPF warning). Participants will view social media posts featuring UPFs with or without warning labels and respond to survey questions following each post.

详细描述

This study is designed to assess the effect of a highly visible UPF warning label on social media posts among adolescents and young adults in the United States. we will recruit approximately 500 US teens aged 13-17 and 500 young adults aged 18-29.

Participants will complete a between-subjects online randomized experiment. They will be randomized into either a UPF warning label group or a no label control group. Participants will view four social media posts featuring UPFs (with or without warning labels based on their assigned group) in random order. These posts are based on real Instagram advertisements from leading food and beverage companies; two posts will feature sugar-sweetened beverages and two will feature fast-food menu items. After viewing each post, participants will answer questions assessing consumer understanding, purchase intentions, and perceived healthfulness. At the end of the survey, all participants will also respond to questions regarding perceptions of control over healthy eating, policy support for UPF warnings, and their understanding of the term "ultra-processed food."

研究设计

研究类型
Interventional
分配方式
Randomized
干预模型
Parallel
主要目的
Prevention
盲法
None

入排标准

年龄范围
13 Years 至 29 Years(Child, Adult)
性别
All
接受健康志愿者

入选标准

  • Aged 13-29
  • Reside in the US
  • Can read and speak English

排除标准

  • Under the age of 13 or over 29
  • Reside outside of the United States
  • Unable to complete a survey in English

研究组 & 干预措施

UPF Warning Labels

Experimental

UPF warning labels will be placed beneath each social media post. Each label will feature an icon accompanied by explanatory text, using the exact health risk wording proposed in the Childhood Diabetes Reductions Act: "Warning: consuming ultra-processed foods and drinks can cause weight gain, which increases the risk of obesity and type-2 diabetes". All text will be left-aligned. The icon will consist of exclamation marks within a yellow triangle. The warning label will be large and highly visible and enclosed within a bold rectangular border.

干预措施: UPF Warning Labels (Behavioral)

No Label (Control)

Other

No label

干预措施: No Labels (Control) (Behavioral)

结局指标

主要结局

Consumer understanding

时间窗: Assessed during one-time 10-minute online study survey

For each social media post, participants will be asked whether they think the product is ultra-processed. Response options will be "yes", "no", or "I don't know". Consumer understanding will be coded as a binary outcome: "yes" = correct; "no" and "I don't know" = incorrect.

Purchase intentions

时间窗: Assessed during one-time 10-minute online study survey

For each social media post, participants will be asked how likely they would buy the product in the next week, either in-store or online. Response options will be on a 1-5 Likert scale, with 5 being "very likely". Higher scores indicate higher intentions to purchase the product.

次要结局

  • Perceived healthfulness(Assessed during one-time 10-minute online study survey)
  • Perceptions of control over healthy eating(Assessed during one-time 10-minute online study survey)
  • Policy support for ultra-processed food warning labels(Assessed during one-time 10-minute online study survey)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Yuru Huang

Assistant Professor

University of Tennessee

研究点 (2)

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