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. !

项目摘要 饮食习惯不足与肥胖，2型糖尿病，心血管疾病和 某些癌症。全球政府和机构政策制定者对食物感兴趣 标记和消息传递是一种具有成本效益的策略，以鼓励更健康的食物选择。 尽管有证据表明营养标签可以影响行为，但尚不清楚哪个标签 设计最有效地改变了具有不同教育水平的人的行为。那里 营养标签的三种常见类型：一个徽标突出显示更健康的选择，交通信号灯 标签或体育活动标签将卡路里信息转化为烧毁所需的锻炼 卡路里。因为没有比较大规模的长期随机试验 这些标签对行为的影响，这些标记方案的相对影响尚不清楚。 需要进行严格的评估，因此决策者不必猜测。总体 该应用的目的是比较四个理论上知名的营养标签的设计 营养信息的第一个长期大规模随机试验。该研究将是 与费城公共卫生部合作进行，这将使我们能够 随机分267（107个小吃和160卧室）自动售货机到不同的营养标签 消息。饮料机将被随机分为以下四个条件之一：1）A 单个绿色交通信号灯在符合“健康”阈值的物品旁边标签； 2）多次流量 显示红色，黄色或绿色标签的光标签，以指示从较少到的选项 更健康； 3）一个体育活动标签，指示一个人必须的分钟数 步行以燃烧每个食物或卧室中的卡路里；或4）与税收有关的消息传递（费城 2017年1月，每盎司卧室税1.5美分）。小吃机将是 除了税收消息传递外，随机分配给相同条件，不适用于 食物。我们将在三年内使用自动售货机交易数据来比较影响 每个标签的平均卡路里和购买的健康物品的百分比和百分比 以及对销售的影响。我们还将对2,916台自动售货机模式进行采访 评估教育水平和其他因素是否中等消息影响。这项研究 将提供有价值的数据，以填补研究空白​​并为决策者提供营养的努力 标签和消息传递是一种鼓励更健康选择的公共卫生方法 解决健康分布。 呢