Opt-IN: Optimization of Remotely Delivered Intensive Lifestyle Treatment for Obesity
Opt-IN
2 other identifiers
interventional
562
1 country
1
Brief Summary
The overall objective of the proposed research is to use an innovative methodological framework, the Multiphase Optimization Strategy (MOST), to design, for the first time, an optimized, scalable version of a technology-supported intensive lifestyle intervention (INLI) for obesity. MOST involves highly efficient randomized experimentation to assess the effects of individual treatment components, and thereby identify which components and component levels make important contributions to the overall program effect on weight loss. This information then guides assembly of an optimized treatment package that achieves target outcomes with least resource consumption and participant burden. Because the intervention strategies being tested minimize in-person coaching and leverage technology that participants already own, the new optimized intervention, to be called Opt-IN, will be more scalable than traditional INLIs. Opt-IN will thus enjoy greatly increased reach, and enable significant progress in the fight against obesity.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for phase_2
Started Sep 2013
Typical duration for phase_2
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
First Submitted
Initial submission to the registry
March 15, 2013
CompletedFirst Posted
Study publicly available on registry
March 19, 2013
CompletedStudy Start
First participant enrolled
September 1, 2013
CompletedPrimary Completion
Last participant's last visit for primary outcome
September 20, 2017
CompletedStudy Completion
Last participant's last visit for all outcomes
September 20, 2017
CompletedResults Posted
Study results publicly available
January 5, 2021
CompletedFebruary 1, 2023
January 1, 2023
4.1 years
March 15, 2013
December 9, 2020
January 12, 2023
Conditions
Outcome Measures
Primary Outcomes (2)
Weight Change (kg) From Baseline to Month 6, Main Effect of Time
Estimated mean change from Baseline to Month 6 were obtained from a linear mixed models analysis of variance to account for missing data. All randomized participants were utilized in the model (ITT analysis).
From Baseline to Month 6
Weight Change (kg) From Baseline to Month 6, Time by Factor Interaction
Estimated mean change from Baseline to Month 6 were obtained from a linear mixed models analysis of variance to account for missing data. All randomized participants were utilized in the model (ITT analysis). This outcome measure is reported as an additional effect beyond that of Outcome Measure 1 (each component has it's own weight loss effect that is above and beyond the weight change calculated in the Outcome Measure 1 analyses).
From Baseline to Month 6
Secondary Outcomes (1)
Intervention for <$500
6 months
Other Outcomes (6)
Treatment Adherence
6 months
Self-monitoring Adherence
6 months
Self-efficacy
6 months
- +3 more other outcomes
Study Arms (32)
Condition 1
EXPERIMENTAL1\) Lifestyle Core; 2) 12 Telephone Coaching Sessions; 3) Report to Primary Care Physician
Condition 2
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendations to use meal replacements; 5) Buddy training via webinars
Condition 3
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Regular text messages; 5) Buddy training via webinars
Condition 4
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements; 5) Regular text messages
Condition 5
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Buddy training via webinars
Condition 6
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone coaching sessions; 3) Recommendations to use meal replacements
Condition 7
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Regular text messages
Condition 8
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Recommendation to use meal replacements; 4) Regular text messages, 5) Buddy training via webinars
Condition 9
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone coaching sessions; 3) Report to Primary Care Physician
Condition 10
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements; 5) Buddy training via webinars
Condition 11
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Regular text messages; 5) Buddy training via webinars
Condition 12
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements; 5) Regular text messages
Condition 13
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Buddy training via webinars
Condition 14
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone coaching sessions; 3) Recommendation to use meal replacements
Condition 15
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Regular text messages
Condition 16
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Recommendation to use meal replacements; 4) Regular text messages, 5) Buddy training via webinars
Condition 17
EXPERIMENTAL1\) Lifestyle Core; 2) 12 Telephone Coaching Sessions
Condition 18
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Recommendations to use meal replacements; 4) Buddy training via webinars
Condition 19
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Regular text messages; 4) Buddy training via webinars
Condition 20
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Regular text messages; 4) Recommendation to use meal replacements
Condition 21
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Buddy training via webinars
Condition 22
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone coaching sessions; 3) Report to Primary Care Physician; 4) Recommendations to use meal replacements
Condition 23
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Regular text messages
Condition 24
EXPERIMENTAL1\) Lifestyle Core; 2) 12 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements; 5) Regular text messages, 6) Buddy training via webinars
Condition 25
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone coaching sessions
Condition 26
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Recommendation to use meal replacements; 4) Buddy training via webinars
Condition 27
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Regular text messages; 4) Buddy training via webinars
Condition 28
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Regular text messages; 4) Recommendation to use meal replacements
Condition 29
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Buddy training via webinars
Condition 30
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone coaching sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements
Condition 31
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Regular text messages
Condition 32
EXPERIMENTAL1\) Lifestyle Core; 2) 24 telephone sessions; 3) Report to Primary Care Physician; 4) Recommendation to use meal replacements; 5) Regular text messages, 6) Buddy training via webinars
Interventions
Participants will receive 12 telephone coaching sessions
Participants will receive 24 telephone coaching sessions
Participants will have a report detailing their weight loss progress sent to their primary care physician
Participants will receive regular text messages
Participants will receive recommendations from their coach to use meal replacements
Participants will have a buddy that will be trained via webinars to be a supportive buddy
Eligibility Criteria
You may qualify if:
- and 60 years old
- BMI 25-40 kg/m2
- Weight stable (no loss or gain \>25 lbs for the past 6 months)
- Not enrolled in any formal weight loss program or taking anti-obesity medications, but interested in losing weight.
- Own a Smartphone and be willing to install the Opt-IN app
- Able to use the app to record dietary intake and weight onto the Smartphone
- "Buddy" participants must:
- years of age or older
- Have access to a computer and internet
- Be willing to undergo "Buddy Training" and participate in 4 webinars
- Be willing to provide support and encouragement to the participant
You may not qualify if:
- Unstable medical conditions (uncontrolled hypertension, diabetes, unstable angina pectoris, myocardial infarction, transient ischemic attack, cancer undergoing active treatment, or cerebrovascular accident within the past six months)
- History of diabetes requiring insulin supplementation, Crohn's Disease, or a diagnosis of obstructive sleep apnea requiring intervention (i.e. CPAP)
- Use an assistive device for mobility (e.g., wheelchair, walker, cane)
- Plantar fasciitis
- Hospitalization for a psychiatric disorder within the past 5 years
- At risk for adverse cardiovascular (CVD) events with moderate intensity activity
- Cannot read the study questionnaires
- Committed to following an incompatible dietary regimen
- Not be pregnant, trying to get pregnant, or lactating
- Bulimia, binge eating disorder, current substance abuse or dependence (besides nicotine dependence) or report active suicidal ideation
- Low motivation to change
- Cannot live with a current or past Opt-IN participant
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Northwestern University
Chicago, Illinois, 60611, United States
Related Publications (33)
Collins LM, Murphy SA, Strecher V. The multiphase optimization strategy (MOST) and the sequential multiple assignment randomized trial (SMART): new methods for more potent eHealth interventions. Am J Prev Med. 2007 May;32(5 Suppl):S112-8. doi: 10.1016/j.amepre.2007.01.022.
PMID: 17466815BACKGROUNDNahum-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.
PMID: 27663578BACKGROUNDBaker TB, Smith SS, Bolt DM, Loh WY, Mermelstein R, Fiore MC, Piper ME, Collins LM. Implementing Clinical Research Using Factorial Designs: A Primer. Behav Ther. 2017 Jul;48(4):567-580. doi: 10.1016/j.beth.2016.12.005. Epub 2017 Jan 7.
PMID: 28577591BACKGROUNDPfammatter 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.
PMID: 31129369BACKGROUNDNahum-Shani I, Dziak JJ, Collins LM. Multilevel factorial designs with experiment-induced clustering. Psychol Methods. 2018 Sep;23(3):458-479. doi: 10.1037/met0000128. Epub 2017 Apr 6.
PMID: 28383950BACKGROUNDTerry PE, Brown N, Arnett DK, Cushman M, Spring B, Halpern SD, Burke LE, Grossmeier J, Goetzel R, Lang J, Calitz C, Terry PE, Sanchez E. The Art of Health Promotion ideas for improving health outcomes. Am J Health Promot. 2016 Sep;30(7):563-82. doi: 10.1177/0890117116668866. No abstract available.
PMID: 27670659BACKGROUNDPellegrini CA, Conroy DE, Phillips SM, Pfammatter AF, McFadden HG, Spring B. Daily and Seasonal Influences on Dietary Self-monitoring Using a Smartphone Application. J Nutr Educ Behav. 2018 Jan;50(1):56-61.e1. doi: 10.1016/j.jneb.2016.12.004.
PMID: 29325663BACKGROUNDWelch 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.
PMID: 29551330BACKGROUNDBurke LE, Ma J, Azar KM, Bennett GG, Peterson ED, Zheng Y, Riley W, Stephens J, Shah SH, Suffoletto B, Turan TN, Spring B, Steinberger J, Quinn CC; American Heart Association Publications Committee of the Council on Epidemiology and Prevention, Behavior Change Committee of the Council on Cardiometabolic Health, Council on Cardiovascular and Stroke Nursing, Council on Functional Genomics and Translational Biology, Council on Quality of Care and Outcomes Research, and Stroke Council. Current Science on Consumer Use of Mobile Health for Cardiovascular Disease Prevention: A Scientific Statement From the American Heart Association. Circulation. 2015 Sep 22;132(12):1157-213. doi: 10.1161/CIR.0000000000000232. Epub 2015 Aug 13. No abstract available.
PMID: 26271892BACKGROUNDPiper ME, Cook JW, Schlam TR, Jorenby DE, Smith SS, Collins LM, Mermelstein R, Fraser D, Fiore MC, Baker TB. A Randomized Controlled Trial of an Optimized Smoking Treatment Delivered in Primary Care. Ann Behav Med. 2018 Sep 13;52(10):854-864. doi: 10.1093/abm/kax059.
PMID: 30212849BACKGROUNDBooth 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.
PMID: 30777156BACKGROUNDSpring 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.
PMID: 27973672BACKGROUNDHoffman SA, Ledford G, Cameron KA, Phillips SM, Pellegrini CA. A qualitative exploration of social and environmental factors affecting diet and activity in knee replacement patients. J Clin Nurs. 2019 Apr;28(7-8):1156-1163. doi: 10.1111/jocn.14719. Epub 2018 Dec 10.
PMID: 30461097BACKGROUNDHekler EB, Michie S, Pavel M, Rivera DE, Collins LM, Jimison HB, Garnett C, Parral S, Spruijt-Metz D. Advancing Models and Theories for Digital Behavior Change Interventions. Am J Prev Med. 2016 Nov;51(5):825-832. doi: 10.1016/j.amepre.2016.06.013.
PMID: 27745682BACKGROUNDKheirkhahan M, Tudor-Locke C, Axtell R, Buman MP, Fielding RA, Glynn NW, Guralnik JM, King AC, White DK, Miller ME, Siddique J, Brubaker P, Rejeski WJ, Ranshous S, Pahor M, Ranka S, Manini TM. Actigraphy features for predicting mobility disability in older adults. Physiol Meas. 2016 Oct;37(10):1813-1833. doi: 10.1088/0967-3334/37/10/1813. Epub 2016 Sep 21.
PMID: 27653966BACKGROUNDCollins LM, Kugler KC, Gwadz MV. Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS. AIDS Behav. 2016 Jan;20 Suppl 1(0 1):S197-214. doi: 10.1007/s10461-015-1145-4.
PMID: 26238037BACKGROUNDPiper ME, Schlam TR, Cook JW, Smith SS, Bolt DM, Loh WY, Mermelstein R, Collins LM, Fiore MC, Baker TB. Toward precision smoking cessation treatment I: Moderator results from a factorial experiment. Drug Alcohol Depend. 2017 Feb 1;171:59-65. doi: 10.1016/j.drugalcdep.2016.11.025. Epub 2016 Nov 25.
PMID: 28013098BACKGROUNDPiper ME, Fiore MC, Smith SS, Fraser D, Bolt DM, Collins LM, Mermelstein R, Schlam TR, Cook JW, Jorenby DE, Loh WY, Baker TB. Identifying effective intervention components for smoking cessation: a factorial screening experiment. Addiction. 2016 Jan;111(1):129-41. doi: 10.1111/add.13162. Epub 2015 Nov 19.
PMID: 26582269BACKGROUNDCollins LM, Dziak JJ, Kugler KC, Trail JB. Factorial experiments: efficient tools for evaluation of intervention components. Am J Prev Med. 2014 Oct;47(4):498-504. doi: 10.1016/j.amepre.2014.06.021. Epub 2014 Aug 1.
PMID: 25092122BACKGROUNDSpring B, Pellegrini CA, Pfammatter A, Duncan JM, Pictor A, McFadden HG, Siddique J, Hedeker D. Effects of an abbreviated obesity intervention supported by mobile technology: The ENGAGED randomized clinical trial. Obesity (Silver Spring). 2017 Jul;25(7):1191-1198. doi: 10.1002/oby.21842. Epub 2017 May 11.
PMID: 28494136BACKGROUNDPellegrini CA, Pfammatter AF, Conroy DE, Spring B. Smartphone applications to support weight loss: current perspectives. Adv Health Care Technol. 2015 Jul;1:13-22. doi: 10.2147/AHCT.S57844.
PMID: 26236766BACKGROUNDSpring B, Ockene JK, Gidding SS, Mozaffarian D, Moore S, Rosal MC, Brown MD, Vafiadis DK, Cohen DL, Burke LE, Lloyd-Jones D; American Heart Association Behavior Change Committee of the Council on Epidemiology and Prevention, Council on Lifestyle and Cardiometabolic Health, Council for High Blood Pressure Research, and Council on Cardiovascular and Stroke Nursing. Better population health through behavior change in adults: a call to action. Circulation. 2013 Nov 5;128(19):2169-76. doi: 10.1161/01.cir.0000435173.25936.e1. Epub 2013 Oct 7. No abstract available.
PMID: 24100544BACKGROUNDBaker TB, Collins LM, Mermelstein R, Piper ME, Schlam TR, Cook JW, Bolt DM, Smith SS, Jorenby DE, Fraser D, Loh WY, Theobald WE, Fiore MC. Enhancing the effectiveness of smoking treatment research: conceptual bases and progress. Addiction. 2016 Jan;111(1):107-16. doi: 10.1111/add.13154. Epub 2015 Nov 19.
PMID: 26581974BACKGROUNDPellegrini CA, Hoffman SA, Daly ER, Murillo M, Iakovlev G, Spring B. Acceptability of smartphone technology to interrupt sedentary time in adults with diabetes. Transl Behav Med. 2015 Sep;5(3):307-14. doi: 10.1007/s13142-015-0314-3.
PMID: 26327936BACKGROUNDPiper ME, Cook JW, Schlam TR, Smith SS, Bolt DM, Collins LM, Mermelstein R, Fiore MC, Baker TB. Toward precision smoking cessation treatment II: Proximal effects of smoking cessation intervention components on putative mechanisms of action. Drug Alcohol Depend. 2017 Feb 1;171:50-58. doi: 10.1016/j.drugalcdep.2016.11.027. Epub 2016 Nov 24.
PMID: 28013097BACKGROUNDSchlam TR, Fiore MC, Smith SS, Fraser D, Bolt DM, Collins LM, Mermelstein R, Piper ME, Cook JW, Jorenby DE, Loh WY, Baker TB. Comparative effectiveness of intervention components for producing long-term abstinence from smoking: a factorial screening experiment. Addiction. 2016 Jan;111(1):142-55. doi: 10.1111/add.13153. Epub 2015 Nov 19.
PMID: 26581819BACKGROUNDWatkins E, Newbold A, Tester-Jones M, Javaid M, Cadman J, Collins LM, Graham J, Mostazir M. Implementing multifactorial psychotherapy research in online virtual environments (IMPROVE-2): study protocol for a phase III trial of the MOST randomized component selection method for internet cognitive-behavioural therapy for depression. BMC Psychiatry. 2016 Oct 6;16(1):345. doi: 10.1186/s12888-016-1054-8.
PMID: 27716200BACKGROUNDCollins LM, Nahum-Shani I, Almirall D. Optimization of behavioral dynamic treatment regimens based on the sequential, multiple assignment, randomized trial (SMART). Clin Trials. 2014 Aug;11(4):426-434. doi: 10.1177/1740774514536795. Epub 2014 Jun 5.
PMID: 24902922BACKGROUNDCook JW, Collins LM, Fiore MC, Smith SS, Fraser D, Bolt DM, Baker TB, Piper ME, Schlam TR, Jorenby D, Loh WY, Mermelstein R. Comparative effectiveness of motivation phase intervention components for use with smokers unwilling to quit: a factorial screening experiment. Addiction. 2016 Jan;111(1):117-28. doi: 10.1111/add.13161. Epub 2015 Nov 19.
PMID: 26582140BACKGROUNDPellegrini CA, Hoffman SA, Collins LM, Spring B. Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol. Contemp Clin Trials. 2014 Jul;38(2):251-9. doi: 10.1016/j.cct.2014.05.007. Epub 2014 May 17.
PMID: 24846621BACKGROUNDPellegrini CA, Hoffman SA, Collins LM, Spring B. Corrigendum to "Optimization of remotely delivered intensive lifestyle treatment for obesity using the Multiphase Optimization Strategy: Opt-IN study protocol" [Contemp. Clin. Trials 38 (2014) 251-259]. Contemp Clin Trials. 2015 Nov;45(Pt B):468-469. doi: 10.1016/j.cct.2015.09.001. Epub 2015 Nov 29. No abstract available.
PMID: 28802730BACKGROUNDSpring B, Pfammatter AF, Marchese SH, Stump T, Pellegrini C, McFadden HG, Hedeker D, Siddique J, Jordan N, Collins LM. A Factorial Experiment to Optimize Remotely Delivered Behavioral Treatment for Obesity: Results of the Opt-IN Study. Obesity (Silver Spring). 2020 Sep;28(9):1652-1662. doi: 10.1002/oby.22915. Epub 2020 Jul 12.
PMID: 32656994DERIVEDPfammatter AF, Marchese SH, Pellegrini C, Daly E, Davidson M, Spring B. Using the Preparation Phase of the Multiphase Optimization Strategy to Develop a Messaging Component for Weight Loss: Formative and Pilot Research. JMIR Form Res. 2020 May 13;4(5):e16297. doi: 10.2196/16297.
PMID: 32347804DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Bonnie Spring, PhD, ABPP
- Organization
- Northwestern University Feinberg School of Medicine
Study Officials
- PRINCIPAL INVESTIGATOR
Bonnie Spring, PhD
Northwestern University
- PRINCIPAL INVESTIGATOR
Linda Collins, PhD
Penn State University
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- phase 2
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- TREATMENT
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Professor
Study Record Dates
First Submitted
March 15, 2013
First Posted
March 19, 2013
Study Start
September 1, 2013
Primary Completion
September 20, 2017
Study Completion
September 20, 2017
Last Updated
February 1, 2023
Results First Posted
January 5, 2021
Record last verified: 2023-01