- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT01183689
Study of Novel Approaches for Prevention (SNAP)
The Study of Novel Approaches for Prevention (SNAP) is randomized trial designed to test whether behavioral interventions based on self-regulation can prevent weight gain in young adults (18-35 years; body mass index (BMI) 21-30 kg/m2). Two different self-regulation interventions for weight gain prevention will be compared in this trial; one intervention will focus on making small, consistent, changes in eating and exercise behavior to prevent weight gain or reverse weight gain if it occurs, whereas the other will emphasize larger changes in eating and exercise that occur periodically, with a goal of producing weight loss and thereby providing a buffer against anticipated weight gains. The primary aim of the trial is to test whether the magnitude of weight gain from baseline across an average three-year follow-up differs across the three groups, with the hypotheses that weight gain will be greater in the Control group than in either intervention and greater in the Small Changes than Large Changes group.
SNAP-E (Extension) will determine whether the effects of the intervention can be maintained over an additional 3 years (i.e. through a total of 6 years).
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
North Carolina
-
Chapel Hill, North Carolina, United States, 27559
- University of North Carolina
-
-
Rhode Island
-
Providence, Rhode Island, United States, 02903
- The Miriam Hospital
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
1. BMI of 21 - 30 kg/m2
Exclusion Criteria:
- Untreated hypertension, hyperlipidemia, or type 2 diabetes, unless permission is provided by their health care provider.
- Heart disease, heart problems or report being prescribed drugs for blood pressure or a major heart condition, unless permission is provided by their health care provider.
- Type 1 diabetes or treatment of type 2 diabetes with insulin or oral medication that may cause hypoglycemia.
- Health problems which may influence the ability to walk for physical activity (e.g. lower limb amputation) or other reasons why a person should not do physical activity, unless permission is provided from their health care provider.
- Health problems that may be associated with unintentional weight change or affect the safety of a weight loss program, including report of a heart attack or stroke, chest pain during periods of activity or rest, loss of consciousness, active tuberculosis, HIV, chronic hepatitis B or C, inflammatory bowel disease requiring treatment within the past year, thyroid disease, renal disease, liver disease, hospitalization for asthma in the past year, or cancer within the past 5 years (except for non-melanoma skin cancers or early stage cervical cancer) or chronic use of steroid medication.
- Report of a past diagnosis of or treatment for a Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition-Text Revision (DSM-IV-TR) eating disorder (anorexia nervosa or bulimia nervosa) or meet criteria for anorexia or bulimia nervosa during screening for this trial
- Report of a past diagnosis of or current symptoms of alcohol or substance dependence.
- Currently pregnant, pregnant within the past 6 months, or planning to become pregnant within the next 6 months.
- History of schizophrenia, manic depression, or bipolar disorder.
- Hospitalization for depression or other psychiatric disorder within the past 12 months.
- Having lost and maintained a weight loss of 10 pounds or more within the past 6 months or are currently participating in a weight loss program, trying to gain weight, using steroids for muscle mass or weight gain, taking weight loss medication, or have had surgery for weight loss.
- Participation in another weight loss or physical activity study that would interfere with this study.
- Another member of the household (or roommate) is a participant or staff member on this trial.
- Reason to suspect that the participant would not adhere to the study intervention or assessment schedule (i.e., can't come to group on a regular basis; will be away for more than two weeks during initial intervention phase or planning to move from the area within next year).
- Not able to speak and understand English.
- Residence or place of work further than 30 miles from the intervention site.
- Perceived inability to attend the 2 year data collection visit.
- Does not have Internet access on a regular basis.
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Prevention
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Double
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
|
No Intervention: Control Group
"Self-Guided Behavior Changes".
This group will be used to determine average rate of weight gain over 3 years with little intervention.
Participants randomized to this group will receive one face-to-face session that will provide general education of self-weighing and information about both the small and large changes approach.
Participants will also be provided with quarterly newsletters describing study events and very limited information on health eating.
|
|
|
Experimental: Small behavior changes
Participants randomized to this group will be taught to self-weigh daily and report weights regularly.
They will be reinforced for maintaining weight below randomization weight and taught that if weight exceeds randomization weight, they should reinstate small changes (e.g., modify diet by approximately 100 kcal, decrease portion sizes or change types of food, increase activity by 2000 steps/day).
|
The Self-Regulation Plus Small Behavior Changes Intervention will focus on making small changes in diet and physical activity on a daily basis to prevent weight gain. Diet: The dietary approach used in this group is to identify small changes in what and how much participants eat each day. The general concept is that these are small, manageable changes that will produce small reductions in overall intake and can easily be made on a daily basis and maintained over time. Exercise: At the start of the program, participants will be given a pedometer and asked to record their current or baseline number of steps. They will then be given the goal of increasing their daily steps by 2000 steps per day over this baseline level.
Other Names:
|
|
Experimental: Large behavior changes
Participants randomized to this group will be taught to self-weigh daily and report weights regularly.
They will be reinforced for maintaining weight below randomization weight and taught that if weight exceeds randomization weight, they should reinstate large changes (e.g., modify diet to 1200-1500 or 1500-1800 kcal/day with < 30% fat, increase exercise to 250 minutes/week of moderate intensity activity).
|
The focus of this intervention group will be on periodically making large changes in diet and physical activity, with the goal of losing 5-10 pounds to buffer against the weight gain that often occurs during young adulthood. Diet: Individuals with a BMI of 21-24.9 kg/m2 will be encouraged to lose 5 pounds; those with a BMI of 25-30 kg/m2 will be encouraged to lose 10 pounds. Exercise: The Large Changes group will be instructed to gradually increase their minutes of physical activity until achieving 250 minutes per week (5 days/week with 50 minutes per day) using activities similar in intensity to brisk walking.
Other Names:
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight Changes From Baseline Over Follow-up.
Time Frame: 3 years
|
Mean weight change from baseline across an average planned follow-up of three years.
These mean changes will be compared among the three arms of the trial.
|
3 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Weight Gain 1 Pound or More at Any Time Over Follow-up
Time Frame: 3 years
|
Average over time (average follow-up of 3 years) of the percent of participants within each arm of the trial who gain 1 pound or more at each visit.
These percentages will be compared among the three arms generalized estimating equations.
Note that weight changes in units of pounds were used to define this outcome so that it may be more clear to participants.
Elsewhere in the protocol, weight is reported in kilograms.
Percentages at each visit are the percent who gained 1 pound or more from baseline among all who were weighed at that visit.
Participants were assigned values of 0 or 1 at each visit depending on their weight gain status.
|
3 years
|
|
Mean Weight Changes
Time Frame: 2 years
|
Mean differences in weight changes among intervention groups at 24 months post-randomization
|
2 years
|
|
Mean Changes in Systolic Blood Pressure
Time Frame: Measured at 2 Years
|
Compare changes in systolic blood pressure across the three intervention groups
|
Measured at 2 Years
|
|
Mean Changes From Baseline in Diastolic Blood Pressure
Time Frame: 2 years
|
Change from baseline to 2 years in diastolic blood pressure
|
2 years
|
|
Mean Changes From Baseline to 2 Years in Total Cholesterol
Time Frame: 2 years
|
Mean changes from baseline to 2 years in total cholesterol among participants with Year 2 measurements (mg/dl)
|
2 years
|
|
Obesity
Time Frame: 3 years
|
Percentage of those participants whose body mass index at baseline was less than 30 kg/m2 who subsequently transitioned to a body mass index of 30 kg/m2 or more (i.e.
met criteria for obesity) sometime during 3 years of follow-up (i.e. at least one visit).
Percentages will be compared among the three arms of the trial and summarized with odds ratios Participants were assigned values of 0 or 1 at each exam depending on their obesity level.
Inference is based on generalized estimating equations.
|
3 years
|
|
Dietary Restraint: Mean Change From Baseline to 2 Years
Time Frame: 2 years
|
The Eating Inventory (Stunkard, 1988) is a 51-item self-report instrument, was used to assess the subscale of dietary restraint (e.g., degree of conscious control exerted over eating behaviors; range from 0-21 with higher scores reflecting greater levels of restraint). Reference: Stunkard, A. J. M., S. (1988). Eating Inventory Manual. New York: Psychological Corporation. |
2 years
|
|
Disinhibition
Time Frame: Changes at 2 years
|
The Eating Inventory (TFEQ(Stunkard, 1988), a 51-item self-report instrument, was used to assess the subscale of disinhibition (e.g., susceptibility to loss of control over eating; range 0-16, with higher scores reflecting greater levels of disinhibition). REF: Stunkard, A. J. M., S. (1988). Eating Inventory Manual. New York: Psychological Corporation. |
Changes at 2 years
|
|
Flexible Dietary Control
Time Frame: Changes from baseline to 2 years
|
Flexible control is characterized by a balanced approach to eating (e.g., taking smaller portions to control weight, engaging in healthy compensation) and is associated with better weight management outcomes (Westenhoefer, Stunkard, & Pudel, 1999). Scores range from 0 to 12 with higher scores reflecting greater levels of flexible control. REF: Westenhoefer, J., Stunkard, A. J., & Pudel, V. (1999). Validation of the flexible and rigid control dimensions of dietary restraint. Int J Eat Disord, 26(1), 53-64. |
Changes from baseline to 2 years
|
|
Rigid Dietary Control
Time Frame: Changes from baseline to 2 years
|
Rigid control is characterized by an all-or-nothing inflexibility around dietary rules (e.g., strict calorie counting, with guilt following if calorie-dense foods are consumed) that is associated with poor weight outcomes and more binge eating (Westenhoefer, Stunkard, & Pudel, 1999). Scores range from 0 to 16 with higher scores reflecting greater rigid control. REF: Stunkard, A. J. M., S. (1988). Eating Inventory Manual. New York: Psychological Corporation. |
Changes from baseline to 2 years
|
|
General Health Index
Time Frame: Changes from baseline to 2 years
|
The General Health Index, a one-item question from the CDC's Health-Related Quality of Life measure (Measuring Healthy Days, 2000) required participants to report whether in general their health is excellent (1), very good (2), good (3), fair (4), or poor (5). Lower scores denotes better outcomes. Ref: Measuring Healthy Days. (2000). Atlanta, Georgia: Centers for Disease Control and Prevention |
Changes from baseline to 2 years
|
|
Mean Changes in High Density Lipoprotein Cholesterol (HDL-C)
Time Frame: 2 years
|
Mean changes in HDL-C from baseline to year 2 in (mg/dl) for compared among the 3 arms using analysis of variance
|
2 years
|
|
Mean Changes in Low Density Lipoprotein Cholesterol (LDL-C)
Time Frame: 2 years
|
Mean changes between baseline and 2 years in low density lipoprotein cholesterol: LDL-c (mg/dl)
|
2 years
|
|
Mean Change in Fasting Glucose From Baseline to 2 Years
Time Frame: 2 years
|
Mean change in fasting glucose from baseline to 2 years in mg/dl for all participants with year 2 measures
|
2 years
|
|
Mean Change in Fasting Insulin From Baseline to 2 Years
Time Frame: 2 years
|
Mean change in fasting insulin (uU/ml) from baseline to 2 years
|
2 years
|
|
Depression Symptomatology
Time Frame: 2 years
|
Mean changes in the Center for Epidemiologic Studies Depression (CES-C) Scale.
Reference: Turvey, C. L., Wallace, R. B., & Herzog, R. (1999).
A revised CES-D measure of depressive symptoms and a DSM-based measure of major depressive episodes in the elderly.
Int Psychogeriatr, 11(2), 139-148.
20 item questionnaire with a possible range of scores is zero to 60, and higher scores indicating the presence of more symptomatology.
|
2 years
|
|
Insulin Resistance
Time Frame: Change from baseline to 2 years
|
We calculated homeostatic model assessment insulin resistance (HOMA-IR): fasting glucose in (mg/dl) * fasting insulin in (uU/mL).
|
Change from baseline to 2 years
|
|
Total Energy Dietary Intake Per Day (Kcals)
Time Frame: Changes from baseline to 2 years in kilocalories
|
Dietary intake was assessed using the 2005 Block Food Frequency Questionnaire (Block FFQ) at baseline and 2 years. This validated, quantitative 110-food item questionnaire is designed to assess relative intake of energy. REF: Block G, Woods M, Potosky A, Clifford C. Validation of a self-administered diet history questionnaire using multiple diet records. J Clin Epidemiol 1990; 43:1327-1335. |
Changes from baseline to 2 years in kilocalories
|
|
Change in Waist Circumference (cm)
Time Frame: Change from baseline to 2 years
|
Waist circumference will be measured using a Gulik tape measure and following a standardized protocol.
Two measures of waist circumference will be taken; if the difference exceeds 1.0 cm, a third measure will be taken.
Changes are measured from baseline to year 2.
|
Change from baseline to 2 years
|
|
Self-weighing
Time Frame: 2 years
|
Number of days per week the participant reports weighing themselves.
This is divided into two groups: 1) more than once per week and 2) no more than once per week
|
2 years
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
6 Year Weight Changes
Time Frame: 6 years
|
Changes from baseline to year 6 in body weight
|
6 years
|
Collaborators and Investigators
Sponsor
Collaborators
Investigators
- Study Chair: Rena Wing, PhD, The Miriam Hospital
- Principal Investigator: Judy Bahnson, Wake Forest University Health Sciences
- Principal Investigator: Wei Lang, PhD, Wake Forest University Health Sciences
- Principal Investigator: Deborah Tate, PhD, University of North Carolina, Chapel Hill
- Principal Investigator: Beth Lewis, MD, University of Alabama at Birmingham
Publications and helpful links
General Publications
- Corso LML, Wing RR, Tate DF, Espeland MA, Blanchard BE, McCaffery JM. Uric acid as a predictor of weight gain and cardiometabolic health in the Study of Novel Approaches to Weight Gain Prevention (SNAP) study. Int J Obes (Lond). 2022 Aug;46(8):1556-1559. doi: 10.1038/s41366-022-01131-1. Epub 2022 May 2.
- Wing RR, Espeland MA, Tate DF, Perdue LH, Bahnson J, Polzien K, Robichaud EF, LaRose JG, Gorin AA, Lewis CE, Jelalian E; Study of Novel Approaches to Weight Gain Prevention (SNAP) Research Group. Weight Gain Over 6 Years in Young Adults: The Study of Novel Approaches to Weight Gain Prevention Randomized Trial. Obesity (Silver Spring). 2020 Jan;28(1):80-88. doi: 10.1002/oby.22661.
- LaRose JG, Neiberg RH, Evans EW, Tate DF, Espeland MA, Gorin AA, Perdue L, Hatley K, Lewis CE, Robichaud E, Wing RR; Study of Novel Approaches to Weight Gain Prevention (SNAP) Research Group. Dietary outcomes within the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial. Int J Behav Nutr Phys Act. 2019 Jan 31;16(1):14. doi: 10.1186/s12966-019-0771-z.
- Olson KL, Neiberg RH, Tate DF, Garcia KR, Gorin AA, Lewis CE, Unick J, Wing RR. Weight and Shape Concern Impacts Weight Gain Prevention in the SNAP Trial: Implications for Tailoring Intervention Delivery. Obesity (Silver Spring). 2018 Aug;26(8):1270-1276. doi: 10.1002/oby.22212. Epub 2018 Jun 28.
- McCaffery JM, Ordovas JM, Huggins GS, Lai CQ, Espeland MA, Tate DF, Wing RR. Weight gain prevention buffers the impact of CETP rs3764261 on high density lipoprotein cholesterol in young adulthood: The Study of Novel Approaches to Weight Gain Prevention (SNAP). Nutr Metab Cardiovasc Dis. 2018 Aug;28(8):816-821. doi: 10.1016/j.numecd.2018.02.018. Epub 2018 Mar 6.
- Unick JL, Lang W, Williams SE, Bond DS, Egan CM, Espeland MA, Wing RR, Tate DF; SNAP Research Group. Objectively-assessed physical activity and weight change in young adults: a randomized controlled trial. Int J Behav Nutr Phys Act. 2017 Dec 4;14(1):165. doi: 10.1186/s12966-017-0620-x.
- Wing RR, Tate DF, Garcia KR, Bahnson J, Lewis CE, Espeland MA; Study of Novel Approaches to Weight Gain Prevention (SNAP) Research Group. Improvements in Cardiovascular Risk Factors in Young Adults in a Randomized Trial of Approaches to Weight Gain Prevention. Obesity (Silver Spring). 2017 Oct;25(10):1660-1666. doi: 10.1002/oby.21917. Epub 2017 Aug 7.
- Unick JL, Lang W, Tate DF, Bond DS, Espeland MA, Wing RR. Objective Estimates of Physical Activity and Sedentary Time among Young Adults. J Obes. 2017;2017:9257564. doi: 10.1155/2017/9257564. Epub 2017 Jan 2.
- Crane MM, LaRose JG, Espeland MA, Wing RR, Tate DF. Recruitment of young adults for weight gain prevention: randomized comparison of direct mail strategies. Trials. 2016 Jun 8;17(1):282. doi: 10.1186/s13063-016-1411-4.
- Wing RR, Tate DF, Espeland MA, Lewis CE, LaRose JG, Gorin AA, Bahnson J, Perdue LH, Hatley KE, Ferguson E, Garcia KR, Lang W; Study of Novel Approaches to Weight Gain Prevention (SNAP) Research Group. Innovative Self-Regulation Strategies to Reduce Weight Gain in Young Adults: The Study of Novel Approaches to Weight Gain Prevention (SNAP) Randomized Clinical Trial. JAMA Intern Med. 2016 Jun 1;176(6):755-62. doi: 10.1001/jamainternmed.2016.1236.
- Wing RR, Tate D, LaRose JG, Gorin AA, Erickson K, Robichaud EF, Perdue L, Bahnson J, Espeland MA. Frequent self-weighing as part of a constellation of healthy weight control practices in young adults. Obesity (Silver Spring). 2015 May;23(5):943-9. doi: 10.1002/oby.21064. Epub 2015 Apr 10.
- Tate DF, LaRose JG, Griffin LP, Erickson KE, Robichaud EF, Perdue L, Espeland MA, Wing RR. Recruitment of young adults into a randomized controlled trial of weight gain prevention: message development, methods, and cost. Trials. 2014 Aug 16;15:326. doi: 10.1186/1745-6215-15-326.
- Wing RR, Tate D, Espeland M, Gorin A, LaRose JG, Robichaud EF, Erickson K, Perdue L, Bahnson J, Lewis CE. Weight gain prevention in young adults: design of the study of novel approaches to weight gain prevention (SNAP) randomized controlled trial. BMC Public Health. 2013 Apr 4;13:300. doi: 10.1186/1471-2458-13-300.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimate)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- IRB00010097
- 5U01HL090875 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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.
Clinical Trials on Weight Gain
-
Western University, CanadaIowa State UniversityCompletedBirth Weight | Excessive Weight Gain in Pregnancy With Baby Delivered | Excessive Weight Gain in Pregnancy, First TrimesterCanada
-
Andalas UniversityNational Institute of Health Research and Development, Ministry of Health...CompletedBirth Weight | Pregnancy Weight GainIndonesia
-
University of PittsburghThe Obesity Society; Weight Watchers InternationalCompletedObesity | Weight Gain, Maternal | Postpartum Weight RetentionUnited States
-
T.C. ORDU ÜNİVERSİTESİEge UniversityCompletedGestational Weight GainTurkey
-
University of HawaiiCompletedGestational Weight GainUnited States
-
Helena PiccininiNova Scotia Health AuthorityWithdrawnGestational Weight GainCanada
-
West China HospitalWest China Second University HospitalCompleted
-
Corcept TherapeuticsEli Lilly and CompanyCompletedWeight-Gain PreventionIndia
-
University of Colorado, DenverEunice Kennedy Shriver National Institute of Child Health and Human Development...Completed
Clinical Trials on Small Behavior Changes
-
Rush University Medical CenterCompleted
-
University of British ColumbiaNot yet recruiting
-
National Institute of Diabetes and Digestive and...Completed
-
The University of Texas Health Science Center,...Not yet recruiting
-
University of British ColumbiaCanadian Institutes of Health Research (CIHR); McMaster University; Memorial... and other collaboratorsRecruiting
-
Ohio State UniversityAmerican Heart AssociationCompletedCardiovascular Disease Other | Stage 2 Cardiovascular-Kidney-Metabolic SyndromeUnited States
-
University of British ColumbiaUnknown
-
Children's Hospital Medical Center, CincinnatiUnited States Department of Defense; University of RochesterRecruiting
-
Ankara Yildirim Beyazıt UniversityCompleted