A Mindfulness Mobile Intervention Targeting Reductions in Food Cravings
1 other identifier
interventional
104
1 country
1
Brief Summary
Participants will complete a 5-week smartphone app-based intervention that teaches mindful eating skills. One goal is to determine to what extent participants will enjoy using the app and complete the intervention. The investigators predict that after completing the intervention, participants will report fewer episodes of eating in response to food cravings. The investigators will also measure several other biological and behavioral outcomes.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Feb 2016
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
February 1, 2016
CompletedFirst Submitted
Initial submission to the registry
February 24, 2016
CompletedFirst Posted
Study publicly available on registry
February 29, 2016
CompletedPrimary Completion
Last participant's last visit for primary outcome
November 29, 2016
CompletedStudy Completion
Last participant's last visit for all outcomes
November 30, 2016
CompletedMay 8, 2017
May 1, 2017
10 months
February 24, 2016
May 5, 2017
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Craving indulgence frequency
Cell phone questionnaires assess frequency with which participants eat in response to food cravings. Cell phone questionnaires assess frequency with which participants eat in response to food cravings. Participants are asked whether they ate in response to a craving in the past hour
1 month post-intervention
Secondary Outcomes (7)
Craving indulgence frequency
Administered 9 times over the 7 days after the participant completes the intervention (typically 28 days after beginning the study; may be longer if participant takes extra days to complete the intervention)
Reward-based Eating Drive (RED)
1 month post-intervention
Reward-based Eating Drive (RED)
immediate post-intervention (within 7 days of completing the intervention)
Palatable Eating Motives Scale, coping subscale
1 month post-intervention
Palatable Eating Motives Scale, coping subscale
Immediate post-intervention (within 7 days of completing the intervention)
- +2 more secondary outcomes
Study Arms (1)
Mobile application intervention
EXPERIMENTALParticipants receive a mobile app with a 5-week mindful eating program and ongoing tools for coping with cravings
Interventions
Consists of the app described in the arm description.
Eligibility Criteria
You may qualify if:
- Problems with controlling food intake as indexed by "yes" responses to the following two questions: "Do you have food cravings?" and "Do you eat in response to your food cravings more than you would like to?"
- Overweight or obese (BMI of 25.0 to 39.9 kg/m2)
- Score at or above the scale midpoint on the Readiness Ruler, a single-item visual analog scale measure of readiness for behavioral change (prompt is, "I have decided to give in to food cravings less")
- Have and use a smartphone (Android or iOS) with internet access.
- Report food cravings on most days and a desire to indulge in food cravings less
You may not qualify if:
- Current diabetes
- Pregnant or plans to become pregnant within 4 months
- Current diagnosis of anorexia or bulimia
- In the opinion of an investigator, meets any of the following criteria:
- Likely to drop out due to expressed ambivalence or lack of interest
- Likely to be harmed in any way by participating
- Likely to have provided untruthful answers to the screening questions (based on evidence such as unclear or inconsistent responses when talking to study staff vs. reporting online, or log data showing repeated attempts to "game" the screening questionnaire).
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
University of California San Francisco
San Francisco, California, 94143, United States
Related Publications (5)
Wansink B. Environmental factors that increase the food intake and consumption volume of unknowing consumers. Annu Rev Nutr. 2004;24:455-79. doi: 10.1146/annurev.nutr.24.012003.132140.
PMID: 15189128BACKGROUNDGendall KA, Joyce PR, Sullivan PF. Impact of definition on prevalence of food cravings in a random sample of young women. Appetite. 1997 Feb;28(1):63-72. doi: 10.1006/appe.1996.0060.
PMID: 9134095BACKGROUNDEpel ES, Tomiyama AJ, Mason AE, Laraia BA, Hartman W, Ready K, Acree M, Adam TC, St Jeor S, Kessler D. The reward-based eating drive scale: a self-report index of reward-based eating. PLoS One. 2014 Jun 30;9(6):e101350. doi: 10.1371/journal.pone.0101350. eCollection 2014.
PMID: 24979216BACKGROUNDSagui-Henson SJ, Radin RM, Jhaveri K, Brewer JA, Cohn M, Hartogensis W, Mason AE. Negative Mood and Food Craving Strength Among Women with Overweight: Implications for Targeting Mechanisms Using a Mindful Eating Intervention. Mindfulness (N Y). 2021;12(12):2997-3010. doi: 10.1007/s12671-021-01760-z. Epub 2021 Sep 24.
PMID: 34584574DERIVEDMason AE, Jhaveri K, Cohn M, Brewer JA. Testing a mobile mindful eating intervention targeting craving-related eating: feasibility and proof of concept. J Behav Med. 2018 Apr;41(2):160-173. doi: 10.1007/s10865-017-9884-5. Epub 2017 Sep 16.
PMID: 28918456DERIVED
Study Officials
- PRINCIPAL INVESTIGATOR
Ashley E Mason, PhD
University of California, San Francisco
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- NA
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 24, 2016
First Posted
February 29, 2016
Study Start
February 1, 2016
Primary Completion
November 29, 2016
Study Completion
November 30, 2016
Last Updated
May 8, 2017
Record last verified: 2017-05
Data Sharing
- IPD Sharing
- Will share
The investigators will deposit anonymized individual-level data in a depository such as the Open Science Framework.