SMART Weight Loss Management (SMART)
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Phase
Phase
- Not Applicable
Contacts and Locations
Study Locations
-
-
Illinois
-
Chicago, Illinois, United States, 60611
- Northwestern University
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Description
Inclusion Criteria:
- 18 through 60 years old
- BMI between 27 - 45 kg/m2
- < 350 lbs
- Weight stable (no loss or gain >25 lbs. for the past 6 months)
- Interested in losing weight and not enrolled in a formal weight loss program or taking medications or supplements that may cause weight change
- Own a Smartphone and be willing to install the SMART App
- Reside in the Chicago area for the duration of their participation (12 months)
Exclusion Criteria:
- Unstable medical conditions (uncontrolled hypertension, diabetes - uncontrolled or treated with insulin, uncontrolled hypothyroidism, unstable angina pectoris, transient ischemic attack, cancer undergoing active treatment, cerebrovascular accident or myocardial infarction within the past six months, or Crohn's disease)
- Pregnancy, lactation, or intended pregnancy
- Active suicidal ideation, anorexia, bulimia, binge eating disorder, current substance abuse or dependence (besides nicotine dependence)
- Require assistive device for mobility or current condition that may limit or prevent participation in moderate activity
- Use of pacemaker or other electrical implanted device
- History of bariatric (or LapBand) surgery, or considering or currently on a wait-list for bariatric or LapBand surgery
- May not live with a current or past SMART study participant
Study Plan
How is the study designed?
Design Details
- Primary Purpose: TREATMENT
- Allocation: RANDOMIZED
- Interventional Model: FACTORIAL
- Masking: SINGLE
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
EXPERIMENTAL: Step 1: Optimal First Line Treatment
Participants will first be randomized to an optimal first line treatment in order to compare APP vs. APP + coaching.
Participants assigned to Step 1 treatment "APP" will receive a study-specific smartphone application.
Participants assigned to Step 1 treatment "APP + coaching" will receive a study-specific smartphone application plus 12 weekly telephone coaching sessions.
|
Participants will receive a smartphone app to track weight, dietary intake and physical activity, and a technology core consisting of web-based weekly lessons, wireless scale, and activity tracker.
Participants will use their own smartphone to receive the study smartphone application.
Participants will receive a smartphone app to track weight, dietary intake and physical activity; a technology core consisting of web-based weekly lessons, wireless scale, and activity tracker; 12 weekly telephone coaching sessions.
Participants will use their own smartphone to receive the study smartphone application.
|
|
EXPERIMENTAL: Step 2: Optimal Strategy to Address Nonresponse
Beginning at week 2, participants who are identified as treatment non-responders will be re-randomized in order to compare two strategies to address non-response: a modest step-up or vigorous step-up treatment augmentation tactic.
Step 2 treatment strategy: modest step-up will include provision of an additional mHealth intervention component (push notifications).
Step 2 treatment strategy vigorous step-up will include provision of an additional mHealth intervention component (push notifications), plus a traditional weight loss intervention component (coaching, meal replacements).
Participants will continue to receive their first line treatment.
|
In addition to first line treatment, participants identified as non-responders will be provided an additional mHealth intervention component (push notifications) for the remaining 12 weeks.
In addition to the first line treatment, participants identified as non-responders will be provided an additional mHealth intervention component (push notifications) plus a traditional weight loss intervention component (coaching, meal replacements).
|
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in weight at 6 months
Time Frame: baseline, 6 months
|
Weight measured in the lab, taken without shoes, wearing light clothing on a calibrated beam balance scale
|
baseline, 6 months
|
Other Outcome Measures
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Change in weight at 12 months
Time Frame: baseline, 12 months
|
Weight measured in the lab, taken without shoes, wearing light clothing on a calibrated beam balance scale
|
baseline, 12 months
|
|
Cost effectiveness
Time Frame: 12 months
|
Cost/pound lost of each study sequence embedded within the SMART design.
|
12 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Nahum-Shani I, Smith SN, Spring BJ, Collins LM, Witkiewitz K, Tewari A, Murphy SA. Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support. Ann Behav Med. 2018 May 18;52(6):446-462. doi: 10.1007/s12160-016-9830-8.
- Pfammatter AF, Nahum-Shani I, DeZelar M, Scanlan L, McFadden HG, Siddique J, Hedeker D, Spring B. SMART: Study protocol for a sequential multiple assignment randomized controlled trial to optimize weight loss management. Contemp Clin Trials. 2019 Jul;82:36-45. doi: 10.1016/j.cct.2019.05.007. Epub 2019 May 23.
- Spring B, Pfammatter A, Alshurafa N. First Steps Into the Brave New Transdiscipline of Mobile Health. JAMA Cardiol. 2017 Jan 1;2(1):76-78. doi: 10.1001/jamacardio.2016.4440. No abstract available.
- Spring B, Stump T, Penedo F, Pfammatter AF, Robinson JK. Toward a health-promoting system for cancer survivors: Patient and provider multiple behavior change. Health Psychol. 2019 Sep;38(9):840-850. doi: 10.1037/hea0000760.
- Walton A, Nahum-Shani I, Crosby L, Klasnja P, Murphy S. Optimizing Digital Integrated Care via Micro-Randomized Trials. Clin Pharmacol Ther. 2018 Jul;104(1):53-58. doi: 10.1002/cpt.1079. Epub 2018 Apr 19.
- Almirall D, Kasari C, McCaffrey DF, Nahum-Shani I. Developing Optimized Adaptive Interventions in Education. J Res Educ Eff. 2018;11(1):27-34. doi: 10.1080/19345747.2017.1407136. Epub 2017 Nov 29.
- Wagner B 3rd, Liu E, Shaw SD, Iakovlev G, Zhou L, Harrington C, Abowd G, Yoon C, Kumar S, Murphy S, Spring B, Nahum-Shani I. ewrapper: Operationalizing engagement strategies in mHealth. Proc ACM Int Conf Ubiquitous Comput. 2017 Sep;2017:790-798. doi: 10.1145/3123024.3125612.
- Welch WA, Spring B, Phillips SM, Siddique J. Moderating Effects of Weather-Related Factors on a Physical Activity Intervention. Am J Prev Med. 2018 May;54(5):e83-e89. doi: 10.1016/j.amepre.2018.01.025. Epub 2018 Mar 15.
- Booth JN 3rd, Allen NB, Calhoun D, Carson AP, Deng L, Goff DC Jr, Redden DT, Reis JP, Shimbo D, Shikany JM, Sidney S, Spring B, Lewis CE, Muntner P. Racial Differences in Maintaining Optimal Health Behaviors Into Middle Age. Am J Prev Med. 2019 Mar;56(3):368-375. doi: 10.1016/j.amepre.2018.10.020.
- Nahum-Shani I, Ertefaie A, Lu XL, Lynch KG, McKay JR, Oslin DW, Almirall D. A SMART data analysis method for constructing adaptive treatment strategies for substance use disorders. Addiction. 2017 May;112(5):901-909. doi: 10.1111/add.13743. Epub 2017 Feb 18.
- Lu X, Nahum-Shani I, Kasari C, Lynch KG, Oslin DW, Pelham WE, Fabiano G, Almirall D. Comparing dynamic treatment regimes using repeated-measures outcomes: modeling considerations in SMART studies. Stat Med. 2016 May 10;35(10):1595-615. doi: 10.1002/sim.6819. Epub 2015 Dec 6.
- Spring B, Champion KE, Acabchuk R, Hennessy EA. Self-regulatory behaviour change techniques in interventions to promote healthy eating, physical activity, or weight loss: a meta-review. Health Psychol Rev. 2021 Dec;15(4):508-539. doi: 10.1080/17437199.2020.1721310. Epub 2020 Feb 17.
- Ertefaie A, Wu T, Lynch KG, Nahum-Shani I. Identifying a set that contains the best dynamic treatment regimes. Biostatistics. 2016 Jan;17(1):135-48. doi: 10.1093/biostatistics/kxv025. Epub 2015 Aug 3.
Study record dates
Study Major Dates
Study Start (ACTUAL)
Study Start
Primary Completion (ACTUAL)
Primary Completion
Study Completion (ACTUAL)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (ESTIMATE)
First Posted
Study Record Updates
Last Update Posted (ACTUAL)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- NIH NIDDK R01DK108678
- R01DK108678 (NIH)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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.