跳至主要内容
临床试验/NCT07692945
NCT07692945尚未招募不适用

Constructing the Subjective Value of Food in Anorexia Nervosa

University of Chicago1 个研究点 分布在 1 个国家目标入组 150 人开始时间: 2026年9月1日最近更新:
适应症

试验速览

阶段
不适用
状态
尚未招募
入组人数
150
试验地点
1
主要终点
Change in Decision Weight for Tastiness vs. Healthiness Attributes in Food Choice

研究概览

简要总结

The goal of this clinical trial is to examine whether food value construction can be biased in individuals with anorexia nervosa. The main question it aims to answer is:

Can a simple training task increase the importance of relevant food attributes such that subsequent choices about what to eat in individuals with anorexia nervosa will look more like those of healthy eaters?

Participants will undergo a simple training paradigm where they view food items and focus on different attributes (e.g., its tastiness or healthiness). Participants will then be asked to make decisions about what foods they'd like to eat.

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Basic Science
盲法
None

入排标准

年龄范围
16 Years 至 45 Years(Child, Adult)
性别
All
接受健康志愿者

入选标准

  • aged 16-35 years
  • male or female
  • able to read and speak English

排除标准

  • for all participants:
  • history of concussion or neurological disease
  • full scale IQ estimate < 80;
  • taking medication that has been shown to affect attention or learning (i.e., second generation antipsychotics, memantine, methylphenidate, or modafinil)
  • Exclusion Criteria for participants with anorexia nervosa:
  • current psychosis, bipolar disorder, or substance dependence
  • body mass index < 14
  • vital sign or laboratory abnormalities indicating medical instability

结局指标

主要结局

Change in Decision Weight for Tastiness vs. Healthiness Attributes in Food Choice

时间窗: Immediately prior to and immediately following the training session (pre- and post-assessments, approximately 1 hour apart on the same day)

Food choice will be assessed using a binary choice task in which participants choose between pairs of food items that vary on healthiness, tastiness, savoriness, and overall preference. Choice data will be modeled using mixed-effects logistic regression, with delta-healthiness (difference in healthiness rating between paired items) and delta-tastiness (difference in tastiness rating) entered as predictors of choice. The parameter of interest is the regression coefficient (beta weight) for delta-tastiness relative to delta-healthiness, reflecting the degree to which choice is driven by tastiness versus healthiness attributes. We predict that tastiness beta weight will increase pre- to post-training in patients with AN.

次要结局

未报告次要终点

研究者

申办方类型
Other
责任方
Sponsor

研究点 (1)

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