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Decision-making for Food Consumption in Young Adults

Not Applicable
Active, not recruiting
Conditions
Food Selection
Interventions
Behavioral: Priming intervention
Registration Number
NCT04912375
Lead Sponsor
The University of Hong Kong
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.

Detailed Description

Not available

Recruitment & Eligibility

Status
ACTIVE_NOT_RECRUITING
Sex
All
Target Recruitment
126
Inclusion Criteria
  • Healthy adults who can speak Chinese or Mandarin
  • Aged between 18 and 30 years
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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
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Study & Design

Study Type
INTERVENTIONAL
Study Design
PARALLEL
Arm && Interventions
GroupInterventionDescription
High EF with primingPriming interventionParticipants will be first stratified by their Executive function (EF). In this arm, participants have high EF. They will play a puzzle task that will ask participants to take 5 min to search Chinese words for meaningful statements. Each statement represents an implicit goal of healthy eating.
Low EF with primingPriming interventionParticipants will be first stratified by their Executive function (EF). In this arm, participants have low EF. They will play a puzzle task that will ask participants to take 5 min to search Chinese words for meaningful statements. Each statement represents an implicit goal of healthy eating.
Primary Outcome Measures
NameTimeMethod
The effect of goal priming intervention on food choiceImmediately after participants completing the tasks

The 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

Secondary Outcome Measures
NameTimeMethod

Trial Locations

Locations (1)

University of Hong Kong School of Public Health

🇨🇳

Hong Kong, China

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