随意的
随机对照试验
完全随机设计
控制(管理)
心理干预
逻辑回归
心理学
医学
人口学
统计
数学
计算机科学
外科
护理部
复合材料
材料科学
人工智能
社会学
作者
Sophia V. Hua,Erica L. Kenney,Jeffrey M. Miller,Aviva A. Musicus,Christina A. Roberto,Anne N. Thorndike,Eric B. Rimm
标识
DOI:10.1016/j.amepre.2023.01.026
摘要
Introduction Large portions, which can lead people to eat more, are becoming increasingly common in U.S. restaurants. This study tested whether portion-size descriptions on menus and different pricing strategies influence the selection of smaller portion sizes. Study Design This was a 4 × 2 between-subjects online randomized controlled experiment. Setting/participants This was an online simulated menu-ordering study conducted in 2021 among 2,205 U.S. adults. Intervention Adults viewed a fast-casual and full-service menu with entrées available in 2 sizes and ordered an entrée from each. Participants were randomized to view 1 of 4 portion-size descriptors (smaller/larger portion): (1) no descriptor/large (control), (2) standard/large, (3) just right/large, and (4) no descriptor/hearty. Participants were also randomized to either linear (i.e., reduced price=50% larger portion's price) or nonlinear pricing (i.e., reduced price=70% larger portion's price) (4 × 2 factorial design). Main outcome measures In 2022, logistic regression models were used to analyze whether the interventions increased the likelihood of choosing a reduced portion. Results Regardless of pricing scheme, participants in the standard/large condition selected reduced portions by 10 (95% CI=0.04, 0.16) and 13 (95% CI=0.07, 0.18) percentage points more than those in the control condition (fast-casual and full-service menus, respectively). Selection of reduced portions in the just right/large condition increased by 9 (95% CI=0.04, 0.15) and 8 (95% CI=0.02, 0.14) percentage points. For the fast-casual menu, keeping portion-size descriptors constant, participants ordered a reduced portion by 5 percentage points more with nonlinear pricing than with linear pricing. Conclusions Portion-size descriptions on restaurant menus, even with nonlinear pricing, are a low-cost strategy to promote the selection of lower-calorie, smaller portions without restricting choice.
科研通智能强力驱动
Strongly Powered by AbleSci AI