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SMART Weight Loss Management (SMART)

Primary Purpose

Weight Loss

Status
Completed
Phase
Not Applicable
Locations
United States
Study Type
Interventional
Intervention
Step 1 Treatment: APP
Step 1 Treatment: APP + Coaching
Step 2 Treatment Strategy: Modest Step-up
Step 2 Treatment Strategy: Vigorous Step-up
Sponsored by
Northwestern University
About
Eligibility
Locations
Arms
Outcomes
Full info

About this trial

This is an interventional treatment trial for Weight Loss focused on measuring Obesity, Weight Loss, Diet, Physical Activity, Mobile Health

Eligibility Criteria

18 Years - 60 Years (Adult)All SexesAccepts Healthy Volunteers

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

Sites / Locations

  • Northwestern University

Arms of the Study

Arm 1

Arm 2

Arm Type

Experimental

Experimental

Arm Label

Step 1: Optimal First Line Treatment

Step 2: Optimal Strategy to Address Nonresponse

Arm Description

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.

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.

Outcomes

Primary Outcome Measures

Change in weight at 6 months
Weight measured in the lab, taken without shoes, wearing light clothing on a calibrated beam balance scale

Secondary Outcome Measures

Full Information

First Posted
December 5, 2016
Last Updated
May 17, 2021
Sponsor
Northwestern University
Collaborators
University of Michigan, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
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1. Study Identification

Unique Protocol Identification Number
NCT02997943
Brief Title
SMART Weight Loss Management
Acronym
SMART
Official Title
SMART Weight Loss Management
Study Type
Interventional

2. Study Status

Record Verification Date
May 2021
Overall Recruitment Status
Completed
Study Start Date
June 19, 2017 (Actual)
Primary Completion Date
September 17, 2020 (Actual)
Study Completion Date
March 18, 2021 (Actual)

3. Sponsor/Collaborators

Responsible Party, by Official Title
Principal Investigator
Name of the Sponsor
Northwestern University
Collaborators
University of Michigan, National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)

4. Oversight

Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
Yes

5. Study Description

Brief Summary
The overall objective of this study is to use an innovative experimental approach, the SMART (Sequential Multiple Assignment Randomized Trial), to determine the best way to sequence the delivery of mHealth tools and traditional treatment components in a stepped program of obesity treatments. The SMART approach is a highly efficient strategy for identifying and constructing efficacious adaptive interventions: it accommodates sequential decision-making based on the participant's response to early weight loss treatment components. The proposed treatment package begins with the least expensive components, and for participants identified as treatment non-responders, provides sequential step-up of additional treatment components. By sequentially delivering treatment components based on participant response, SMART permits achievement of the target outcome, weight loss, with least resource consumption and participant burden.
Detailed Description
The proposed study seeks to develop an effective, resource-sensitive strategy to manage weight loss treatment for obesity. During the 12-week active intervention phase, participants will be randomized to one of two first-line treatments: 1) mobile app alone (APP) or 2) app plus weekly telephone coaching sessions (APP+C). Beginning at week 2, those who are identified as treatment non-responders (did not lose an average of 0.5 lbs/week) will be re-randomized to one of two augmentation tactics: 1) Modest Step-up, operationalized as the addition of an additional mHealth component, or 2) Vigorous Step-up, operationalized as the addition of an additional mHealth component plus a traditional weight loss intervention component. Treatment responders will continue with the same first-line treatment. Treatment response be re-assessed at weeks 4 and 8. Those identified as treatment non-responders will be re-randomized at that time.

6. Conditions and Keywords

Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Weight Loss
Keywords
Obesity, Weight Loss, Diet, Physical Activity, Mobile Health

7. Study Design

Primary Purpose
Treatment
Study Phase
Not Applicable
Interventional Study Model
Factorial Assignment
Masking
Outcomes Assessor
Allocation
Randomized
Enrollment
400 (Actual)

8. Arms, Groups, and Interventions

Arm Title
Step 1: Optimal First Line Treatment
Arm Type
Experimental
Arm Description
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.
Arm Title
Step 2: Optimal Strategy to Address Nonresponse
Arm Type
Experimental
Arm Description
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.
Intervention Type
Behavioral
Intervention Name(s)
Step 1 Treatment: APP
Intervention Description
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.
Intervention Type
Behavioral
Intervention Name(s)
Step 1 Treatment: APP + Coaching
Intervention Description
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.
Intervention Type
Behavioral
Intervention Name(s)
Step 2 Treatment Strategy: Modest Step-up
Intervention Description
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.
Intervention Type
Behavioral
Intervention Name(s)
Step 2 Treatment Strategy: Vigorous Step-up
Intervention Description
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).
Primary Outcome Measure Information:
Title
Change in weight at 6 months
Description
Weight measured in the lab, taken without shoes, wearing light clothing on a calibrated beam balance scale
Time Frame
baseline, 6 months
Other Pre-specified Outcome Measures:
Title
Change in weight at 12 months
Description
Weight measured in the lab, taken without shoes, wearing light clothing on a calibrated beam balance scale
Time Frame
baseline, 12 months
Title
Cost effectiveness
Description
Cost/pound lost of each study sequence embedded within the SMART design.
Time Frame
12 months

10. Eligibility

Sex
All
Minimum Age & Unit of Time
18 Years
Maximum Age & Unit of Time
60 Years
Accepts Healthy Volunteers
Accepts Healthy Volunteers
Eligibility Criteria
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
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Bonnie Spring, PhD
Organizational Affiliation
Northwestern University
Official's Role
Principal Investigator
First Name & Middle Initial & Last Name & Degree
Inbal Nahum-Shani, PhD
Organizational Affiliation
University of Michigan
Official's Role
Principal Investigator
Facility Information:
Facility Name
Northwestern University
City
Chicago
State/Province
Illinois
ZIP/Postal Code
60611
Country
United States

12. IPD Sharing Statement

Plan to Share IPD
No
Citations:
PubMed Identifier
31129369
Citation
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.
Results Reference
background
PubMed Identifier
27663578
Citation
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.
Results Reference
background
PubMed Identifier
27973672
Citation
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.
Results Reference
background
PubMed Identifier
31436465
Citation
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.
Results Reference
background
PubMed Identifier
29604043
Citation
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.
Results Reference
background
PubMed Identifier
29552270
Citation
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.
Results Reference
background
PubMed Identifier
29362728
Citation
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.
Results Reference
background
PubMed Identifier
29551330
Citation
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.
Results Reference
background
PubMed Identifier
30777156
Citation
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.
Results Reference
background
PubMed Identifier
28029718
Citation
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.
Results Reference
background
PubMed Identifier
26638988
Citation
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.
Results Reference
background
PubMed Identifier
31973666
Citation
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.
Results Reference
background
PubMed Identifier
26243172
Citation
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.
Results Reference
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SMART Weight Loss Management

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