A large-scale, long-term, randomized trial of nutrition labeling interventions

营养标签干预措施的大规模、长期、随机试验

• 批准号: 9980378
• 负责人: Christina Ann Roberto
• 金额: $ 45.96万
• 依托单位: UNIVERSITY OF PENNSYLVANIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-17 至 2022-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9980378
• 关键词: Address; Adolescent; Age; Behavior; Beverages; Calories; Cardiovascular Diseases; Chronic Disease; Consumption; Country; Data; Diet Habits; Dietary Fiber; Education; Educational Background; Evaluation; Exercise; Food; Food Labeling; Gender; Goals; Government; Health Food; Health Promotion; Hospitals; Individual; Institutional Policy; Intake; Intervention; Interview; Label; Light; Light Exercise; Low income; Malignant Neoplasms; Non-Insulin-Dependent Diabetes Mellitus; Nutrition Labeling; Obesity; Philadelphia; Physical activity; Policy Maker; Psychology; Public Health; Race; Randomized; Research; Sales; Scheme; Supermarket; Surveys; System; Taxes; Testing; Transact; Translating; Walking; Work; base; behavior influence; behavioral economics; cost effective; design; fruits and vegetables; health disparity; higher education; insight; interest; meetings; novel; nutrition; psychologic; randomized trial; trial comparing

PROJECT SUMMARY Poor dietary habits are associated with obesity, type 2 diabetes, cardiovascular disease, and certain cancers. Government and institutional policy makers worldwide are interested in food labeling and messaging as a cost-effective strategy to encourage healthier food choices. Although there is evidence that nutrition labels can influence behavior, it is unclear which label designs are most effective at altering behavior for people with different levels of education. There are three common types of nutrition labels: a single logo highlighting healthier choices, traffic light labels, or physical activity labels that translate calorie information into exercise required to burn off the calories. Because there have been no large-scale, long-term randomized trials comparing the effect of these labels on behavior, the relative impact of these labeling schemes is unknown. Such rigorous evaluations are needed so policy makers do not have to guess. The overall objective of this application is to compare four theoretically-informed nutrition label designs in the first long-term, large-scale randomized trial of nutrition messages. The study will be conducted in partnership with the Philadelphia Department of Public Health which will enable us to randomize 267 (107 snack and 160 beverage) vending machines to different nutrition label messages. Beverage machines will be randomized to one of the following four conditions: 1) A single green traffic light label next to items meeting a “healthy” threshold; 2) a multiple traffic light label that displays red, yellow, or green labels to indicate options that range from less to more healthy; 3) a physical activity label that indicates the number of minutes one would have to walk to burn off the calories in each food or beverage; or 4) tax-related messaging (Philadelphia implemented a 1.5 cents per ounce beverage tax in January 2017). Snack machines will be randomized to the same conditions except for the tax messaging, which does not apply to foods. We will use vending machine transaction data over three years to compare the influence each label has on average calories and percentage of healthy and less healthy items purchased as well as impact on sales. We will also conduct interviews with 2,916 vending machine patrons to evaluate whether education level and other factors moderate message influence. This study will provide valuable data to fill research gaps and inform policy makers’ efforts to use nutrition labeling and messaging as a public health approach to encourage healthier choices and address health disparities. !

项目概要 不良饮食习惯与肥胖、2型糖尿病、心血管疾病和 世界各地的政府和机构决策者对某些癌症感兴趣。 标签和信息传递是鼓励选择更健康食品的具有成本效益的策略。 尽管有证据表明营养标签会影响行为，但尚不清楚哪种标签 设计对于改变不同教育水平的人的行为最有效。 营养标签分为三种常见类型：强调更健康选择的单一徽标、红绿灯 标签或身体活动标签，将卡路里信息转化为燃烧所需的运动量 因为还没有大规模、长期的随机试验进行比较。 这些标签对行为的影响，这些标签方案的相对影响尚不清楚。 需要进行这样的评估，这样严格的政策制定者就不必猜测。 本应用的目的是比较四种基于理论的营养标签设计 该研究将是第一个长期、大规模的营养信息随机试验。 与费城公共卫生部合作进行，这将使我们能够 将 267 台自动售货机（107 台零食和 160 台饮料）随机分配到不同的营养标签 饮料机将被随机分配到以下四种情况之一： 1) A 符合“健康”阈值的物品旁边有一个绿色交通灯标签 2) 多重交通； 显示红色、黄色或绿色标签的浅色标签，以指示范围从“少”到“少”的选项 更健康；3) 身体活动标签，标明必须进行的分钟数 步行消耗每种食物或饮料中的卡路里；或 4) 与税务相关的信息（费城） 2017 年 1 月将对零食机征收每盎司 1.5 美分的饮料税）。 随机化到相同的条件，但税务信息除外，这不适用于 我们将使用三年来的自动售货机交易数据来比较影响力。 每个标签都包含平均卡路里以及所购买的健康和不太健康物品的百分比 我们还将对 2,916 名自动售货机顾客进行采访。 评估教育水平和其他因素是否调节消息影响。 将提供有价值的数据来填补研究空白​​并为政策制定者利用营养的努力提供信息 标签和信息传递作为一种公共卫生方法，鼓励更健康的选择和 解决健康差距。 ！