Environmental Obesity Treatment: A Simplified Approach to Food Categorization

环境肥胖治疗：食品分类的简化方法

• 批准号: 7487638
• 负责人: Christopher Nicholas Ochner
• 金额: $ 4.62万
• 依托单位: ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2009-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7487638
• 关键词: Accounting; Adult; Area; Attention; Behavior; Body Weight; Body Weight Changes; Body Weight decreased; Calories; Categories; Child; Clinic; Code; Color; Consumption; Control Groups; Cues; Data; Databases; Eating; Energy Intake; Environment; Epidemic; Equipment and supply inventories; Food; Food Labeling; Human Biology; Individual; Intervention; Label; Lead; New York; Numbers; Obesity; Oranges; Overweight; Patient Self-Report; Phase; Public Health; Randomized; Randomized Controlled Trials; Recruitment Activity; Relative (related person); Reporting; Research; Sampling; Scanning; Supermarket; System; Technology; Telephone; Testing; Time; Weight; base; clinically significant; energy density; food consumption; metropolitan; obesity treatment; weight loss intervention

DESCRIPTION (provided by applicant):Obesity has risen to epidemic proportions in recent decades. The relative Constance of human biology suggest that changes in the environment, particularly in relation to food consumption, account for these increases in BMI. Further, the inability of individually-based treatments to have a long term impact on obesity encourage the study of environmentally-based approaches. The "stop-light" approach categorizes foods into color-coded groups according to caloric content and has been used effectively with children but is yet to be tested with adults. The primary aim of this study is to determine whether a simplified, color-coded food categorization system, based on energy density (ED; calories per gram), has an effect on adult food purchasing in a large supermarket in NY. Evidence demonstrates that, when individuals purchase and consume more low ED foods, they consume less high ED foods, and reduce overall caloric intake. This study will test the hypothesis that this simplified food categorization system will increase purchasing of low ED foods and decrease purchasing of high ED foods, especially in those with the highest BMI. METHODS: S's will be 140 overweight M and F recruited at a D'Agostino's supermarket at in NY. Individual purchasing will be tracked through scan card technology used at all D'Agostino's. ED will be calculated for 500 food items randomly selected from the inventory database. Items will be categorized in either low or high ED groups and marked with blue or orange dots (respectively). There will also be a decoy color (Green) placed on 250 randomly selected items. Color markings will be placed on item labels located on the shelving beneath each item 1 mo prior to recruitment. Demographic information (including self-reported body weight) will be collected and S's will be randomized to an experimental or control group. Experimental S's will receive a card describing the food categorization system: Blue = LOW CALORIE (eat more); Orange = HIGH CALORIE (eat less); Green = DECOY (ignore). De-identified purchasing data for all S's will be analyzed for 12 wk prior to intervention (retrospectively retreived from the D'Agostino database) to establish baseline purchasing behavior. Following randomization, 12 wk of purchasing data will be collected. Selfreported weight at the end of 12 wk will be obtained through phone calls. Cross-sectional comparisons between the different food categories (ED groups) will be performed across intervention periods between groups. PUBLIC HEALTH RELEVANCE: If positive results are obtained, a similar system of food categorization could be implemented in supermarkets easily and inexpensively. If supermarkets nationwide were willing to implement this system, even a small statistical effect may have a clinically significant effect in combating the

描述（由申请人提供）：近几十年来，肥胖症已上升到流行病的比例。人体生物学的相对稳定性表明，环境的变化，特别是与食物消费有关的变化，是BMI增加的原因。此外，基于个体的治疗无法对肥胖产生长期影响，这鼓励了基于环境的方法的研究。“红灯”法根据热量含量将食物分为不同颜色的组别，这种方法对儿童有效，但尚未在成人中进行测试。本研究的主要目的是确定一个简化的，颜色编码的食品分类系统，能量密度（艾德;卡路里每克）的基础上，是否有影响成人食品购买在纽约的一个大型超市。有证据表明，当人们购买和消费更多的低艾德食物时，他们消费更少的高艾德食物，并减少整体热量摄入。这项研究将检验这一假设，即这种简化的食品分类系统将增加购买低艾德食品和减少购买高艾德食品，特别是在那些最高的BMI。方法：在纽约的一家D 'Agostino超市招募140名超重的男性和女性。个人购买将通过扫描卡技术在所有的达戈斯蒂诺的跟踪。将从库存数据库中随机选择500种食品，计算艾德的ED。项目将分为低或高艾德组，并分别用蓝色或橙子点标记。也将有一个诱饵颜色（绿色）放置在250随机选择的项目。在招募前1个月，将在每个物品下方的货架上的物品标签上放置彩色标记。将收集人口统计学信息（包括自我报告的体重），并将S随机分配至实验组或对照组。实验S将收到一张描述食物分类系统的卡片：蓝色=低卡路里（多吃）;橙子=高卡路里（少吃）;绿色=装饰（忽略）。将在干预前12周分析所有S的去识别购买数据（从D 'Agostino数据库中回顾性检索），以建立基线购买行为。随机分组后，将收集12周的购买数据。将通过电话获得12周结束时的自我报告体重。横截面比较 不同食物类别（艾德组）之间的差异 组 公共卫生相关性：如果取得良好的结果，类似的食物分类系统可以很容易和便宜地在超级市场实施。如果全国的超市都愿意实施这一制度，即使是很小的统计效果也可能在打击毒品犯罪方面产生临床上的重大影响。