Suppr超能文献

菜单标签、卡路里和营养密度:来自连锁餐厅的证据。

Menu labeling, calories, and nutrient density: Evidence from chain restaurants.

机构信息

William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Senior Fellow, Stanford Institute for Economic and Policy Research, Stanford University, Stanford, CA, United States of America.

Ph.D. Student, Harvard University, Cambridge, MA, United States of America.

出版信息

PLoS One. 2020 May 7;15(5):e0232656. doi: 10.1371/journal.pone.0232656. eCollection 2020.

Abstract

The Food and Drug Administration's menu labeling rule requires chain restaurants to prominently display calories, while leaving other nutritional information (e.g., fat, sodium, sugar) to the request of consumers. We use rich micronutrient data from 257 large chain brands and 24,076 menu items to examine whether calories are correlated with widely used "nutrient profile" scores that measure healthfulness based on nutrient density. We show that calories are indeed statistically significant predictors of nutrient density. However, as a substantive matter, the correlation is highly attenuated (partial R2 < 0.01). Our findings (a) suggest that the promise of calorie labeling to improve nutrient intake quality at restaurants is limited and (b) clarify the basis for transparency of nutrient composition beyond calories to promote healthy menu choices.

摘要

美国食品和药物管理局的菜单标签规定要求连锁餐厅显著显示卡路里,而将其他营养信息(如脂肪、钠、糖)留给消费者自行要求。我们使用来自 257 个大型连锁品牌和 24076 个菜单项的丰富微量营养素数据,来检验卡路里是否与广泛使用的“营养成分概况”评分相关,这些评分根据营养密度来衡量健康程度。我们发现,卡路里确实是营养密度的统计学显著预测因子。然而,从实质上讲,这种相关性被高度削弱(部分 R2 < 0.01)。我们的研究结果表明:(a)卡路里标签在改善餐厅营养摄入质量方面的承诺是有限的;(b)澄清了除卡路里之外的营养成分透明度的基础,以促进健康的菜单选择。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/463d/7205205/e99bee97b981/pone.0232656.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验