跳至主要内容
临床试验/NCT02099812
NCT02099812已完成不适用

Web-based Collection of Data on Obesity and Health Behavior

Virginia Polytechnic Institute and State University0 个研究点目标入组 1,585 人开始时间: 2012年12月最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
1,585
主要终点
Food reinforcement

研究概览

简要总结

Low socioeconomic status (low SES), as defined by educational attainment and income, has been associated with obesity in industrialized nations. Low SES has been related to impulsive decision-making characterized by steep devaluation of future outcomes (delay discounting, DD) and a greater motivation to obtain food (food reinforcement, FR). DD and FR have been shown to interactively predict ad libitum energy intake in laboratory studies, such that participants exhibiting high FR as well as high DD consume the most food. Obesity often results from energy intake in excess of physiologic needs, and thus a plausible mechanism is that low SES environments increase FR and DD, leading to overeating and obesity. The primary aims of this study are to determine whether FR and DD interact to predict BMI, and whether differences in FR and DD mediate the relationship between low SES and obesity, in a large sample of US adults of varying BMI. In addition, whether high FR and high DD are related to unhealthy food purchasing and eating behaviors will be assessed. It is anticipated that high FR and DD will be related to unhealthy food purchasing and eating behaviors.

详细描述

In this study potential participants who log in to the Amazon Mechanical Turk website as a worker and who have a HIT approval rate of at least 90% will be allowed to view and participate in the study. If a potential participant agrees to participate in the study by accepting the HIT, the participant will be asked to complete a brief survey (approximately 150 questions; see sample survey in "other supporting documents") and various decision making tasks (e.g., delay discounting assessment, reinforcer valuation assessment etc.). This survey and accompanying tasks will solicit: (a) general demographic information such as gender, age, income, and education; (b) information about their health and health behavior practices, such as eating habits, alcohol and cigarette use; (c) questions about their food preferences and value of foods; (d) information about their valuation of immediate versus distant events/rewards.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Be a registered Amazon Mechanical Turk user.

排除标准

  • 未提供

结局指标

主要结局

Food reinforcement

时间窗: 1 hour

Participant's valuation of food items.

Delay discounting rate

时间窗: 1 hour

Degree to which future rewards are devalued

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Jeffrey Stein

Professor

Virginia Polytechnic Institute and State University

相似试验