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Decision-making for Food Consumption in Young Adults

Executive Function, Reactivity to Cues of Food Consumption: a Cohort Study in Young Adults

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT04912375
Enrollment
126
Registered
2021-06-03
Start date
2021-06-24
Completion date
2024-12-24
Last updated
2025-03-30

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Food Selection

Brief summary

Background: Experimental and cross-sectional evidence suggests that poor executive function can lead to heightened reactivity to food cues and perceived greater reward of unhealthy but palatable foods and subsequently lead to overeating or clinical eating disorders. This may be an important reason for the increasing trend of obesity in our society. Aims: This study will investigate the interrelationships among executive function, reactivity to food-related cues and eating style in young adults. In addition, this study will examine the influence of food environment and stress on reactivity to food-related cues and executive function and how executive function and reactivity to food-related cues would influence health risky behaviours in young adults. We will also conduct a pilot randomized control trial (RCT) to develop the culturally specific goal priming intervention for the Chinese adults and test its effect on decision-making for food choice among adults with low executive function. Design and subjects: This will be a three-wave cohort study in young adults who are recruited in their final-year of first post-secondary education and follow-up at six months and 12 months after their graduation. For the pilot RCT, a 2 (low vs. high executive function) x 2 (with vs. without goal priming intervention) will be used to test the effect of goal priming intervention on food choice. The goal priming intervention will be 5-min word-searching task to prime goals of healthy eating. Main outcome measures: Participants will be invited to complete a series on computerized tasks and other assessments online in each wave to assess their executive function, risk taking propensity, reactivity to food-related cues, perceived stress, exposure to food-related cues, eating style and other health-related behaviours. Structural equation modelling will be used to test the interrelationships among executive function, reactivity to food-related cues and eating style, among exposure to food-related cues, perceived stress and reactivity to food-related cues, and among executive function, reactivity to food-related cues, risk taking and adoption of health-related behaviours. For the pilot RCT, the effect of intervention on tendency of choosing healthy and low-calorie foods will be evaluated using logistic regression model with level of executive function and goal-priming intervention as the main between-group factors.

Interventions

The pilot RCT will ask participants to complete a simple word-searching exercise as a goal-priming of healthy eating and can be completed in 5 min.

Sponsors

The University of Hong Kong
Lead SponsorOTHER

Study design

Allocation
RANDOMIZED
Intervention model
PARALLEL
Primary purpose
PREVENTION
Masking
SINGLE (Outcomes Assessor)

Eligibility

Sex/Gender
ALL
Age
18 Years to 30 Years
Healthy volunteers
No

Inclusion criteria

* Healthy adults who can speak Chinese or Mandarin * Aged between 18 and 30 years

Exclusion criteria

* Having cognitive difficulties to understand the study instruments * Having a physical or medical condition that requires certain food or dietary restrictions * Having been diagnosed with any pathogenic eating disorders * Participants whose subject is related to psychology

Design outcomes

Primary

MeasureTime frameDescription
The effect of goal priming intervention on food choiceImmediately after participants completing the tasksThe name of measure: participants' tendency to choose different categories of foods Measurement tool: the force food choice task * The force food choice task evaluates participants' 'wanting' of foods with tempting cues. (if you had to make a choice, which food would you most want to eat now?) * Software: Survey responses and test data were recorded in Inquisit via the web or lab-based service. Unit of measure: the frequency of food selections

Countries

China

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026