Food Choices in Healthy Weight Women

NCT ID: NCT02481362

Last Updated: 2018-04-05

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

28 participants

Study Classification

INTERVENTIONAL

Study Start Date

2015-06-30

Study Completion Date

2016-05-31

Brief Summary

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This study will examine differences in habituation to foods high in sugar and fat content versus those that are not, in normal weight women.

Detailed Description

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Participants will complete two experimental sessions, in which habituation to chocolate cake and dried apricots will be measured, with each session measuring habituation rate to one food. Upon arrival to the session, participants will write down what they have consumed and the minutes of physical activity they have engaged in during the previous 24 hours. Participants will rate their feelings of hunger and fullness using a 100mm VAS. They will also rank their liking of the food being used in the session using a 100mm VAS. Participants will be given a peanut butter flavored granola bar, containing 190 kcal, and be instructed to consume all of the bar.

Next, participants will complete a computer generated task to measure habituation to a food (chocolate cake or apricots). The computer task will be programmed at a variable interval of 120 ± 42 seconds (VI-120) reinforcement schedule, so that participants will be rewarded one point for the first response made after approximately 120s have passed. The computer task consists of two squares, one that flashes red every time a mouse button is pressed and another square that flashes green when a point is earned. The habituation phase will be 24 minutes, divided into 12, 2-minute trials, during which participants can earn points towards access to 75 kcal portions of the food that is being measured. Participants will receive the food immediately after each point is earned to consume and can continue to play the computer task while eating. Participants will be instructed that when they no longer want to earn access to the food they can go to another table and engage in the activities provided (i.e., reading magazines). After the computer task, participants will rate their feeling of hunger, fullness, and liking of the food. During the computer task the number of consecutive two-minute time blocks before responding ceases, as well as the overall pattern of responding, will be measured.

Conditions

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Addictive Behavior Food Preferences Food Habits Healthy Habituation

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

CROSSOVER

Primary Study Purpose

BASIC_SCIENCE

Blinding Strategy

SINGLE

Participants

Study Groups

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Order 1

Order for sessions: Cake, apricots

Group Type ACTIVE_COMPARATOR

CAKE

Intervention Type OTHER

For the CAKE condition, participants will play a computer task to earn points for cake that they can consume.

APRICOTS

Intervention Type OTHER

For the APRICOTS condition, participants will play a computer task to earn points for apricots that they can consume.

Order 2

Order for sessions: apricots, Cake

Group Type ACTIVE_COMPARATOR

CAKE

Intervention Type OTHER

For the CAKE condition, participants will play a computer task to earn points for cake that they can consume.

APRICOTS

Intervention Type OTHER

For the APRICOTS condition, participants will play a computer task to earn points for apricots that they can consume.

Interventions

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CAKE

For the CAKE condition, participants will play a computer task to earn points for cake that they can consume.

Intervention Type OTHER

APRICOTS

For the APRICOTS condition, participants will play a computer task to earn points for apricots that they can consume.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* body mass index (BMI) 18.5 to 24.9 kg/m2
* nonsmokers
* not allergic to the foods used in the investigation
* must like the foods in the investigation (scoring \> 50 mm on a visual analogue scale \[VAS\])
* be willing to consume the foods
* not have dietary restrictions
* not be a restrained eater (scoring \> 12 on the Three Factor Eating Scale)
* not be on medications that influence appetite
* not planning to change their diet or physical activity during the time frame of their study participation
* not dieting or trying to lose weight.

Exclusion Criteria

* BMI outside of the range 18.5-24.9
* smoker
* food allergies
* does not like the foods used in the study
* has dietary restrictions
* is a restrained eater
* on medications that may influence appetite
* planning on changing diet or physical activity during time frame of the study
* dieting
* trying to lose weight
Minimum Eligible Age

18 Years

Maximum Eligible Age

35 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

Yes

Sponsors

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The University of Tennessee, Knoxville

OTHER

Sponsor Role lead

Responsible Party

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Hollie Raynor

Professor

Responsibility Role PRINCIPAL_INVESTIGATOR

Principal Investigators

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Hollie Raynor, PhD

Role: PRINCIPAL_INVESTIGATOR

University of Tennessee, Knoxville

Locations

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Healthy Eating and Activity Laboratory, University of Tennessee

Knoxville, Tennessee, United States

Site Status

Countries

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United States

References

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Epstein LH, Temple JL, Roemmich JN, Bouton ME. Habituation as a determinant of human food intake. Psychol Rev. 2009 Apr;116(2):384-407. doi: 10.1037/a0015074.

Reference Type BACKGROUND
PMID: 19348547 (View on PubMed)

Epstein LH, Carr KA, Cavanaugh MD, Paluch RA, Bouton ME. Long-term habituation to food in obese and nonobese women. Am J Clin Nutr. 2011 Aug;94(2):371-6. doi: 10.3945/ajcn.110.009035. Epub 2011 May 18.

Reference Type BACKGROUND
PMID: 21593492 (View on PubMed)

Goldfield GS, Legg C. Dietary restraint, anxiety, and the relative reinforcing value of snack food in non-obese women. Eat Behav. 2006 Nov;7(4):323-32. doi: 10.1016/j.eatbeh.2005.11.006. Epub 2005 Nov 28.

Reference Type BACKGROUND
PMID: 17056408 (View on PubMed)

Franko DL, Wolfe BE, Jimerson DC. Elevated sweet taste pleasantness ratings in bulimia nervosa. Physiol Behav. 1994 Nov;56(5):969-73. doi: 10.1016/0031-9384(94)90331-x.

Reference Type BACKGROUND
PMID: 7824599 (View on PubMed)

Deglaire A, Mejean C, Castetbon K, Kesse-Guyot E, Hercberg S, Schlich P. Associations between weight status and liking scores for sweet, salt and fat according to the gender in adults (The Nutrinet-Sante study). Eur J Clin Nutr. 2015 Jan;69(1):40-6. doi: 10.1038/ejcn.2014.139. Epub 2014 Jul 30.

Reference Type BACKGROUND
PMID: 25074389 (View on PubMed)

McGloin AF, Livingstone MB, Greene LC, Webb SE, Gibson JM, Jebb SA, Cole TJ, Coward WA, Wright A, Prentice AM. Energy and fat intake in obese and lean children at varying risk of obesity. Int J Obes Relat Metab Disord. 2002 Feb;26(2):200-7. doi: 10.1038/sj.ijo.0801883.

Reference Type BACKGROUND
PMID: 11850751 (View on PubMed)

Gearhardt AN, Roberto CA, Seamans MJ, Corbin WR, Brownell KD. Preliminary validation of the Yale Food Addiction Scale for children. Eat Behav. 2013 Dec;14(4):508-12. doi: 10.1016/j.eatbeh.2013.07.002. Epub 2013 Jul 21.

Reference Type BACKGROUND
PMID: 24183146 (View on PubMed)

Gearhardt AN, White MA, Masheb RM, Morgan PT, Crosby RD, Grilo CM. An examination of the food addiction construct in obese patients with binge eating disorder. Int J Eat Disord. 2012 Jul;45(5):657-63. doi: 10.1002/eat.20957. Epub 2011 Aug 30.

Reference Type BACKGROUND
PMID: 22684991 (View on PubMed)

Ridgway PS, Jeffrey DB. A comparison of the Three-Factor Eating Questionnaire and the Restraint Scale and consideration of Lowe's Three-Factor Model. Addict Behav. 1998 Jan-Feb;23(1):115-8. doi: 10.1016/s0306-4603(97)00031-2.

Reference Type BACKGROUND
PMID: 9468749 (View on PubMed)

Other Identifiers

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UTK IRB-15-02330-XP

Identifier Type: -

Identifier Source: org_study_id

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