- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04737629
Understanding the Effects of Water-related Appetite Expectancies on Caloric Intake in College Students
August 24, 2023 updated by: University of Florida
Understanding the Effects of Herbs on Attention, Coordination, and Taste
Consuming large volumes of water has recently been identified as a common weight loss strategy among U.S. adults.
It is a widespread belief that drinking water increases feelings of satiety and reduces food intake, which could contribute to long-term weight maintenance.
Many studies have shown support for this, demonstrating water's ability to reduce hunger and energy intake.
In some cases, increased water consumption was associated with weight loss.
However, the mechanisms of how water affects food intake have been minimally explored.
There is potential that the effect of water on reduced food intake and increased satiety is due to individuals' belief that water will reduce their appetite and food intake.
The question remains if water expectancy has a meaningful influence on water's ability to reduce food intake.
The investigators hypothesize that participants will report less hunger and consume fewer calories when given water and an expectancy that water will affect appetite, compared to a condition when given water and do not expect water to have an effect on appetite.
We further hypothesize that calorie intake will not meaningfully differ when participants are given water with no expectancies compared to when given no water.
During this experiment, the investigators will vary the presence of water and manipulate expectancies about water's effects on appetite across three conditions: (1) an expectancy and water condition; (2) an expectancy and no water condition; and (3) a no expectancy and water condition.
In each condition, participants will engage in a bogus taste test and complete two short cognitive tasks for distraction purposes.
In an effort to prevent demand characteristics, this study involves deception.
Participants will be told that the research team is interested in testing the effects of three different mint herb variations on attention, coordination, and taste perceptions.
After completing the cognitive tasks and taste test, participants will have a 10 minute period to eat as much of the remaining food as they'd like.
Food will be weighed before and after this period (without the participant's knowledge) in order to determine caloric intake.
Study Overview
Status
Withdrawn
Conditions
Intervention / Treatment
Study Type
Interventional
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
18 years to 65 years (Adult, Older Adult)
Accepts Healthy Volunteers
Yes
Description
Inclusion Criteria:
- 18 - 65 years of age
- rating at least two foods from each category (chips/crackers and sweets/candies) on the food options list for the taste test as a 7 ("like moderately") or higher on a 9-point hedonic scale
- willing/able to come to the lab for three sessions
Exclusion Criteria:
- current smoker
- self-report of a current or past eating disorder diagnosis
- taking an appetite suppressant or stimulant medication
- currently engaged in a weight loss program
- currently pregnant, breastfeeding, or planning to become pregnant
- allergy to mint
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Crossover Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
Experimental: Expectancy and Water Condition
|
In the expectancy and water condition, participants will be instructed to consume the mint herb and 500mL of water before the start of the taste test.
The script for this condition will inform them of research that has shown water to decrease appetite by up to 50% (attempting to create an expectancy).
|
|
Experimental: No Expectancy and Water Condition
|
Participants will be instructed to consume the mint herb and 500mL of water before the start of the taste test.
The script will inform them of research that has shown water to decrease appetite by up to 50%.
In this condition, however, the research team will also inform them that this herb is expected to counteract the effects of water on appetite because it decreases water retention, causing water to pass through the stomach and intestines at a faster than normal rate (attempting to create no water expectancy or nullify any pre-existing expectancy).
|
|
Experimental: No Water Condition
|
Participants will be instructed to consume the mint herb and 50mL of water before the start of the taste test.
Participants will be given 100mL of water during the taste test to aid in their ability to taste and consume food, and to avoid acute thirst interfering with food consumption.
Access to fluids during a taste test has been used in control conditions in similar studies.
The script for this condition will inform participants of research that has shown water to decrease appetite by up to 50% but acknowledge that they will not be receiving water (thus, they should not expect an effect on appetite).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Caloric intake
Time Frame: Through study completion, up to 9 weeks.
|
Weighing food on digital food scale after taste test.
|
Through study completion, up to 9 weeks.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Appetite
Time Frame: Through study completion, up to 9 weeks.
|
Four-question 100mm visual analog scale (VAS) assessing assesses hunger, fullness, satiety, and prospective food consumption.
The minimum possible score is 0, and the maximum possible score is 100.
|
Through study completion, up to 9 weeks.
|
|
Physical activity
Time Frame: Assessed at baseline before any experiment administration.
|
International Physical Activity Questionnaire (IPAQ-SF).
Participants are categorized into low, moderate, or high levels of physical activity.
Higher score indicates more physical activity engagement (better outcome).
|
Assessed at baseline before any experiment administration.
|
|
Restrained eating
Time Frame: Assessed at baseline before any experiment administration.
|
Eating Disorder Examination Questionnaire (EDE-Q).
The minimum possible score is 0 and maximum possible score is 34.5.
A higher score indicates higher restrained eating symptoms (poorer outcome).
|
Assessed at baseline before any experiment administration.
|
|
Habitual water intake
Time Frame: Assessed at baseline before any experiment administration.
|
As part of the baseline questionnaire, participants will be asked about how many glasses of water they drank over the past 7 days in order to assess habitual water intake.
Response options range from "I did not drink water during the past 7 days" to "4 or more glasses per day."
|
Assessed at baseline before any experiment administration.
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Han L, You D, Zeng F, Feng X, Astell-Burt T, Duan S, Qi L. Trends in Self-perceived Weight Status, Weight Loss Attempts, and Weight Loss Strategies Among Adults in the United States, 1999-2016. JAMA Netw Open. 2019 Nov 1;2(11):e1915219. doi: 10.1001/jamanetworkopen.2019.15219. Erratum In: JAMA Netw Open. 2019 Dec 2;2(12):e1919047.
- Lappalainen R, Mennen L, van Weert L, Mykkanen H. Drinking water with a meal: a simple method of coping with feelings of hunger, satiety and desire to eat. Eur J Clin Nutr. 1993 Nov;47(11):815-9.
- Davy BM, Dennis EA, Dengo AL, Wilson KL, Davy KP. Water consumption reduces energy intake at a breakfast meal in obese older adults. J Am Diet Assoc. 2008 Jul;108(7):1236-9. doi: 10.1016/j.jada.2008.04.013.
- Daniels MC, Popkin BM. Impact of water intake on energy intake and weight status: a systematic review. Nutr Rev. 2010 Sep;68(9):505-21. doi: 10.1111/j.1753-4887.2010.00311.x.
- Dennis EA, Dengo AL, Comber DL, Flack KD, Savla J, Davy KP, Davy BM. Water consumption increases weight loss during a hypocaloric diet intervention in middle-aged and older adults. Obesity (Silver Spring). 2010 Feb;18(2):300-7. doi: 10.1038/oby.2009.235. Epub 2009 Aug 6.
- Corney RA, Sunderland C, James LJ. Immediate pre-meal water ingestion decreases voluntary food intake in lean young males. Eur J Nutr. 2016 Mar;55(2):815-819. doi: 10.1007/s00394-015-0903-4. Epub 2015 Apr 18.
- Stookey JJ. Negative, Null and Beneficial Effects of Drinking Water on Energy Intake, Energy Expenditure, Fat Oxidation and Weight Change in Randomized Trials: A Qualitative Review. Nutrients. 2016 Jan 2;8(1):19. doi: 10.3390/nu8010019.
- Madjd A, Taylor MA, Delavari A, Malekzadeh R, Macdonald IA, Farshchi HR. Effects on weight loss in adults of replacing diet beverages with water during a hypoenergetic diet: a randomized, 24-wk clinical trial. Am J Clin Nutr. 2015 Dec;102(6):1305-12. doi: 10.3945/ajcn.115.109397. Epub 2015 Nov 4.
- Casazza K, Brown A, Astrup A, Bertz F, Baum C, Brown MB, Dawson J, Durant N, Dutton G, Fields DA, Fontaine KR, Heymsfield S, Levitsky D, Mehta T, Menachemi N, Newby PK, Pate R, Raynor H, Rolls BJ, Sen B, Smith DL Jr, Thomas D, Wansink B, Allison DB. Weighing the Evidence of Common Beliefs in Obesity Research. Crit Rev Food Sci Nutr. 2015;55(14):2014-53. doi: 10.1080/10408398.2014.922044.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Estimated)
August 1, 2021
Primary Completion (Estimated)
September 1, 2023
Study Completion (Estimated)
September 1, 2023
Study Registration Dates
First Submitted
January 21, 2021
First Submitted That Met QC Criteria
February 1, 2021
First Posted (Actual)
February 4, 2021
Study Record Updates
Last Update Posted (Actual)
August 28, 2023
Last Update Submitted That Met QC Criteria
August 24, 2023
Last Verified
August 1, 2023
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB202001347
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
YES
IPD Plan Description
IPD will be shared on the Open Science Framework (OSF) platform following the completion of the study.
The study protocol, statistical analysis plan, and de-identified analytic code will be available.
IPD Sharing Time Frame
Data will be available within 12 months following the completion of the study.
IPD Sharing Access Criteria
No access criteria.
De-identified data will be available to anyone.
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- SAP
- ANALYTIC_CODE
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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