Multicomponent mHealth Intervention for Large, Sustained Change in Multiple Diet and Activity Risk Behaviors: The Make Better Choices 2 Randomized Controlled Trial

Bonnie Spring, Christine Pellegrini, H G McFadden, Angela Fidler Pfammatter, Tammy K Stump, Juned Siddique, Abby C King, Donald Hedeker, Bonnie Spring, Christine Pellegrini, H G McFadden, Angela Fidler Pfammatter, Tammy K Stump, Juned Siddique, Abby C King, Donald Hedeker

Abstract

Background: Prevalent co-occurring poor diet and physical inactivity convey chronic disease risk to the population. Large magnitude behavior change can improve behaviors to recommended levels, but multiple behavior change interventions produce small, poorly maintained effects.

Objective: The Make Better Choices 2 trial tested whether a multicomponent intervention integrating mHealth, modest incentives, and remote coaching could sustainably improve diet and activity.

Methods: Between 2012 and 2014, the 9-month randomized controlled trial enrolled 212 Chicago area adults with low fruit and vegetable and high saturated fat intakes, low moderate to vigorous physical activity (MVPA) and high sedentary leisure screen time. Participants were recruited by advertisements to an open-access website, screened, and randomly assigned to either of two active interventions targeting MVPA simultaneously with, or sequentially after other diet and activity targets (N=84 per intervention) or a stress and sleep contact control intervention (N=44). They used a smartphone app and accelerometer to track targeted behaviors and received personalized remote coaching from trained paraprofessionals. Perfect behavioral adherence was rewarded with an incentive of US $5 per week for 12 weeks. Diet and activity behaviors were measured at baseline, 3, 6, and 9 months; primary outcome was 9-month diet and activity composite improvement.

Results: Both simultaneous and sequential interventions produced large, sustained improvements exceeding control (P<.001), and brought all diet and activity behaviors to guideline levels. At 9 months, the interventions increased fruits and vegetables by 6.5 servings per day (95% CI 6.1-6.8), increased MVPA by 24.7 minutes per day (95% CI 20.0-29.5), decreased sedentary leisure by 170.5 minutes per day (95% CI -183.5 to -157.5), and decreased saturated fat intake by 3.6% (95% CI -4.1 to -3.1). Retention through 9-month follow-up was 82.1%. Self-monitoring decreased from 96.3% of days at baseline to 72.3% at 3 months, 63.5% at 6 months, and 54.6% at 9 months (P<.001). Neither attrition nor decline in self-monitoring differed across intervention groups.

Conclusions: Multicomponent mHealth diet and activity intervention involving connected coaching and modest initial performance incentives holds potential to reduce chronic disease risk.

Trial registration: ClinicalTrials.gov NCT01249989; https://ichgcp.net/clinical-trials-registry/NCT01249989 (Archived by WebCite at https://ichgcp.net/clinical-trials-registry/NCT01249989).

Keywords: behavioral medicine; health behavior; mobile health; randomized controlled trial; risk factors.

Conflict of interest statement

Conflicts of Interest: None declared.

©Bonnie Spring, Christine Pellegrini, H G McFadden, Angela Fidler Pfammatter, Tammy K Stump, Juned Siddique, Abby C King, Donald Hedeker. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 19.06.2018.

Figures

Figure 1
Figure 1
Make Better Choices 2 app user interfaces for (a) receiving behavioral feedback in simultaneous and sequential treatments; (b) reporting sedentary leisure screen time in simultaneous and sequential treatments; (c) receiving feedback in contact control treatment.
Figure 2
Figure 2
Make Better Choices 2 Trial study timeline.
Figure 3
Figure 3
CONSORT Flow Diagram of the Make Better Choices 2 Trial: 212 adults were eligible for inclusion, randomly assigned to an intervention condition, and included in analyses.
Figure 4
Figure 4
A: Mean Composite Diet-Activity Improvement Scores over time for combined simultaneous and sequential treatment groups vs control. Combined treatment groups produced greater healthy change at each postbaseline assessment point. B: Mean Composite Diet-Activity Improvement Scores over time for each of the three conditions. Error bars represent 1 SE. Gray background indicates the treatment initiation phase (weeks 0-12); white background, follow-up maintenance phase.
Figure 5
Figure 5
Effects of the 3 intervention conditions on changes over time in each behavior expressed in natural units. Gray background indicates treatment initiation phase (weeks 0-12); white background, follow-up maintenance phase.

References

    1. Hill JO, Wyatt HR, Reed GW, Peters JC. Obesity and the environment: where do we go from here? Science. 2003 Feb 7;299(5608):853–5. doi: 10.1126/science.1079857.
    1. Rodearmel SJ, Wyatt HR, Stroebele N, Smith SM, Ogden LG, Hill JO. Small changes in dietary sugar and physical activity as an approach to preventing excessive weight gain: the America on the Move family study. Pediatrics. 2007 Oct;120(4):e869–79. doi: 10.1542/peds.2006-2927.
    1. Lutes LD, Daiss SR, Barger SD, Read M, Steinbaugh E, Winett RA. Small changes approach promotes initial and continued weight loss with a phone-based follow-up: 9-month outcomes from ASPIRES II. Am J Health Promot. 2012;26(4):235–8. doi: 10.4278/ajhp.090706-QUAN-216.
    1. Eldridge JD, Devine CM, Wethington E, Aceves L, Phillips-Caesar E, Wansink B, Charlson ME. Environmental influences on small eating behavior change to promote weight loss among Black and Hispanic populations. Appetite. 2016 Jan 01;96:129–137. doi: 10.1016/j.appet.2015.09.011.
    1. Rose G. Sick individuals and sick populations. Int J Epidemiol. 2001 Jun;30(3):427–32.
    1. Brown WJ, Hockey R, Dobson A. Rose revisited: a “middle road”; prevention strategy to reduce noncommunicable chronic disease risk. Bull World Health Organ. 2007 Nov;85(11):886–7.
    1. Feigin VL, Norrving B, Mensah GA. Primary prevention of cardiovascular disease through population-wide motivational strategies: insights from using smartphones in stroke prevention. BMJ Glob Health. 2016;2(2):e000306. doi: 10.1136/bmjgh-2017-000306.
    1. Folsom AR, Yatsuya H, Nettleton JA, Lutsey PL, Cushman M, Rosamond WD, ARIC Study Investigators Community prevalence of ideal cardiovascular health, by the American Heart Association definition, and relationship with cardiovascular disease incidence. J Am Coll Cardiol. 2011 Apr 19;57(16):1690–6. doi: 10.1016/j.jacc.2010.11.041.
    1. Lloyd-Jones D, Hong Y, Labarthe D, Mozaffarian D, Appel L, Van HL. Defining and setting national goals for cardiovascular health promotion and disease reduction: The American Heart Association's strategic impact goal through 2020 and beyond. Circulation. 2010 Feb 02;121(4):586–613.
    1. Spring B, Ockene JK, Gidding SS, Mozaffarian D, Moore S, Rosal MC, Brown MD, Vafiadis DK, Cohen DL, Burke LE, Lloyd-Jones D, American HABCCOTCOECOLHCFHBPROCN. 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.
    1. Gooding HC, Ning H, Gillman MW, Shay C, Allen N, Goff DC, Lloyd-Jones D, Chiuve S. Application of a Lifestyle-Based Tool to Estimate Premature Cardiovascular Disease Events in Young Adults: The Coronary Artery Risk Development in Young Adults (CARDIA) Study. JAMA Intern Med. 2017 Sep 01;177(9):1354–1360. doi: 10.1001/jamainternmed.2017.2922.
    1. Claas SA, Arnett DK. The Role of Healthy Lifestyle in the Primordial Prevention of Cardiovascular Disease. Curr Cardiol Rep. 2016 Jun;18(6):56. doi: 10.1007/s11886-016-0728-7.
    1. Meader N, King K, Wright K, Graham HM, Petticrew M, Power C, White M, Sowden AJ. Multiple Risk Behavior Interventions: Meta-analyses of RCTs. Am J Prev Med. 2017 Jul;53(1):e19–e30. doi: 10.1016/j.amepre.2017.01.032.
    1. Schuit AJ, van LAJM, Tijhuis M, Ocké M. Clustering of lifestyle risk factors in a general adult population. Prev Med. 2002 Sep;35(3):219–24.
    1. Chou K. The prevalence and clustering of four major lifestyle risk factors in Hong Kong Chinese older adults. J Aging Health. 2008 Oct;20(7):788–803. doi: 10.1177/0898264308321082.
    1. Baruth M, Wilcox S, Egan BM, Dowda M, Laken M, Warren TY. Cardiovascular disease risk factor clustering among African American adults. Ethn Dis. 2011;21(2):129–34.
    1. Lee-Kwan SH, Moore LV, Blanck HM, Harris DM, Galuska D. Disparities in State-Specific Adult Fruit and Vegetable Consumption - United States, 2015. MMWR Morb Mortal Wkly Rep. 2017 Nov 17;66(45):1241–1247. doi: 10.15585/mmwr.mm6645a1. doi: 10.15585/mmwr.mm6645a1.
    1. US Department of Health and Human Services; US Department of Agriculture US Dept of Health and Human Services. 2015. Dietary Guidelines for Americans 8th ed .
    1. US Department of Health and Human Services. US Department of Agriculture 2015-2020 Dietary Guidelines for Americans 8th ed. 2015. .
    1. Sacks FM, Lichtenstein AH, Wu JHY, Appel LJ, Creager MA, Kris-Etherton PM, Miller M, Rimm EB, Rudel LL, Robinson JG, Stone NJ, Van HLV, American Heart Association Dietary Fats and Cardiovascular Disease: A Presidential Advisory From the American Heart Association. Circulation. 2017 Jul 18;136(3):e1–e23. doi: 10.1161/CIR.0000000000000510.
    1. Fedewa SA, Sauer AG, Siegel RL, Jemal A. Prevalence of major risk factors and use of screening tests for cancer in the United States. Cancer Epidemiol Biomarkers Prev. 2015 Apr;24(4):637–52. doi: 10.1158/1055-9965.EPI-15-0134.
    1. Clarke TC, Ward BW, Norris T, Schiller JS. Early release of selected estimates based on data from the National Health Interview Survey, January-September 2016: Lack of health insurance coverage and type of coverage. 2017. [2018-05-16]. .
    1. Bowman SA. Television-viewing characteristics of adults: correlations to eating practices and overweight and health status. Prev Chronic Dis. 2006 Apr;3(2):A38.
    1. Myint PK, Luben RN, Wareham NJ, Bingham SA, Khaw K. Combined effect of health behaviours and risk of first ever stroke in 20,040 men and women over 11 years' follow-up in Norfolk cohort of European Prospective Investigation of Cancer (EPIC Norfolk): prospective population study. BMJ. 2009 Feb 19;338:b349.
    1. Mendis S, Davis S, Norrving B. Organizational update: the world health organization global status report on noncommunicable diseases 2014; one more landmark step in the combat against stroke and vascular disease. Stroke. 2015 May;46(5):e121–2. doi: 10.1161/STROKEAHA.115.008097.
    1. Mozaffarian D, Benjamin EJ, Go AS, Arnett DK, Blaha MJ, Cushman M, de Ferranti S, Després J, Fullerton HJ, Howard VJ, Huffman MD, Judd SE, Kissela BM, Lackland DT, Lichtman JH, Lisabeth LD, Liu S, Mackey RH, Matchar DB, McGuire DK, Mohler ER, Moy CS, Muntner P, Mussolino ME, Nasir K, Neumar RW, Nichol G, Palaniappan L, Pandey DK, Reeves MJ, Rodriguez CJ, Sorlie PD, Stein J, Towfighi A, Turan TN, Virani SS, Willey JZ, Woo D, Yeh RW, Turner MB. Executive Summary: Heart Disease and Stroke Statistics—2015 Update. Circulation. 2015 Jan 26;131(4):434–441. doi: 10.1161/CIR.0000000000000157.
    1. Bauer UE, Briss PA, Goodman RA, Bowman BA. Prevention of chronic disease in the 21st century: elimination of the leading preventable causes of premature death and disability in the USA. Lancet. 2014 Jul 5;384(9937):45–52. doi: 10.1016/S0140-6736(14)60648-6.
    1. Arena R, Guazzi M, Lianov L, Whitsel L, Berra K, Lavie C, Kaminsky L, Williams M, Hivert M, Franklin N, Myers J, Dengel Donald, Lloyd-Jones Donald M, Pinto Fausto J, Cosentino Francesco, Halle Martin, Gielen Stephan, Dendale Paul, Niebauer Josef, Pelliccia Antonio, Giannuzzi Pantaleo, Corra Ugo, Piepoli Massimo F, Guthrie George, Shurney Dexter. Healthy lifestyle interventions to combat noncommunicable disease—A novel nonhierarchical connectivity model for key stakeholders: A policy statement from the American Heart Association, European Society of Cardiology, European Association for Cardiovascular Prevention and Rehabilitation, and American College of Preventive Medicine. Mayo Clin Proc. 2015 Aug;90(8):1082–103. doi: 10.1016/j.mayocp.2015.05.001. doi: 10.1016/j.mayocp.2015.05.001.
    1. Spring B, Moller AC, Colangelo LA, Siddique J, Roehrig M, Daviglus ML, Polak JF, Reis JP, Sidney S, Liu K. Healthy lifestyle change and subclinical atherosclerosis in young adults: Coronary Artery Risk Development in Young Adults (CARDIA) study. Circulation. 2014 Jul 1;130(1):10–7. doi: 10.1161/CIRCULATIONAHA.113.005445.
    1. Adams ML, Grandpre J, Katz DL, Shenson D. Linear association between number of modifiable risk factors and multiple chronic conditions: Results from the Behavioral Risk Factor Surveillance System. Prev Med. 2017 Dec;105:169–175. doi: 10.1016/j.ypmed.2017.09.013.
    1. Hawkes AL, Patrao TA, Green A, Aitken JF. CanPrevent: a telephone-delivered intervention to reduce multiple behavioural risk factors for colorectal cancer. BMC Cancer. 2012 Nov 27;12:560. doi: 10.1186/1471-2407-12-560.
    1. Appel LJ, Clark JM, Yeh HC, Wang NY, Coughlin JW, Daumit G, Miller III ER, Dalcin A, Jerome GJ, Geller S, Noronha G. Comparative effectiveness of weight-loss interventions in clinical practice. New England Journal of Medicine. 2011;365(21):1959–1968. doi: 10.1186/1471-2407-12-560.
    1. 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 Dec 01;176(6):755–62. doi: 10.1001/jamainternmed.2016.1236.
    1. Cohen AJ, Richardson CR, Heisler M, Sen A, Murphy EC, Hesterman OB, Davis MM, Zick SM. Increasing Use of a Healthy Food Incentive: A Waiting Room Intervention Among Low-Income Patients. Am J Prev Med. 2017 Feb;52(2):154–162. doi: 10.1016/j.amepre.2016.11.008.
    1. Goswami I, Urminsky O. The dynamic effect of incentives on postreward task engagement. J Exp Psychol Gen. 2017 Jan;146(1):1–19. doi: 10.1037/xge0000206.
    1. Spring B, Schneider K, McFadden HG, Vaughn J, Kozak AT, Smith M, Moller AC, Epstein LH, Demott A, Hedeker D, Siddique J, Lloyd-Jones DM. Multiple behavior changes in diet and activity: a randomized controlled trial using mobile technology. Arch Intern Med. 2012 May 28;172(10):789–96. doi: 10.1001/archinternmed.2012.1044.
    1. Pellegrini CA, Steglitz J, Johnston W, Warnick J, Adams T, McFadden HG, Siddique J, Hedeker D, Spring B. Design and protocol of a randomized multiple behavior change trial: Make Better Choices 2 (MBC2) Contemp Clin Trials. 2015 Mar;41:85–92. doi: 10.1016/j.cct.2015.01.009.
    1. Schulz DN, Kremers SPJ, Vandelanotte C, van AMJG, Schneider F, Candel MJJM, de VH. Effects of a web-based tailored multiple-lifestyle intervention for adults: a two-year randomized controlled trial comparing sequential and simultaneous delivery modes. J Med Internet Res. 2014;16(1):e26. doi: 10.2196/jmir.3094.
    1. Spring B, Pagoto S, Pingitore R, Doran N, Schneider K, Hedeker D. Randomized controlled trial for behavioral smoking and weight control treatment: effect of concurrent versus sequential intervention. J Consult Clin Psychol. 2004 Oct;72(5):785–96. doi: 10.1037/0022-006X.72.5.785.
    1. Bush T, Lovejoy J, Javitz H, Torres A, Wassum K, Tan M, Spring B. Simultaneous vs. sequential treatment for smoking and weight management in tobacco quitlines: 6 and 12 month outcomes from a randomized trial. BMC Public Health. 2018:S159. (in press)
    1. US Department of Agriculture All about the vegetable group - What counts as a cup of vegetables. 2016. [2018-05-16]. .
    1. Kennedy J. DCU-based Shimmer signs research deal with Harvard's Wyss Institute. 2016. [2018-05-16]. .
    1. Davis. Eshelman. McKay . The relaxation and stress reduction workbook (4th Edition) New York, NY: New Harbinger Press; 1995.
    1. Lieffers JRL, Hanning RM. Dietary assessment and self-monitoring with nutrition applications for mobile devices. Can J Diet Pract Res. 2012;73(3):e253–60.
    1. Long JD, Littlefield LA, Estep G, Martin H, Rogers TJ, Boswell C, Shriver BJ, Roman-Shriver CR. Evidence review of technology and dietary assessment. Worldviews Evid Based Nurs. 2010 Dec;7(4):191–204. doi: 10.1111/j.1741-6787.2009.00173.x.
    1. Bardus M, Smith JR, Samaha L, Abraham C. Mobile Phone and Web 2.0 Technologies for Weight Management: A Systematic Scoping Review. J Med Internet Res. 2015;17(11):e259. doi: 10.2196/jmir.5129.
    1. Lichstein K, Riedel B, Grieve R. Fair tests of clinical trials: A treatment implementation model. Adv Behav Res Ther. 1994;16:1–29.
    1. Bhattarai N, Prevost AT, Wright AJ, Charlton J, Rudisill C, Gulliford MC. Effectiveness of interventions to promote healthy diet in primary care: systematic review and meta-analysis of randomised controlled trials. BMC Public Health. 2013;13:1203. doi: 10.1186/1471-2458-13-1203.
    1. King AC, Castro CM, Buman MP, Hekler EB, Urizar GG, Ahn DK. Behavioral impacts of sequentially versus simultaneously delivered dietary plus physical activity interventions: the CALM trial. Ann Behav Med. 2013 Oct;46(2):157–68. doi: 10.1007/s12160-013-9501-y.
    1. Spittaels H, De BI, Vandelanotte C. Evaluation of a website-delivered computer-tailored intervention for increasing physical activity in the general population. Prev Med. 2007 Mar;44(3):209–17. doi: 10.1016/j.ypmed.2006.11.010.
    1. Vandelanotte C, De BI, Sallis JF, Spittaels H, Brug J. Efficacy of sequential or simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2005 Apr;29(2):138–46. doi: 10.1207/s15324796abm2902_8.
    1. Norman GJ, Zabinski MF, Adams MA, Rosenberg DE, Yaroch AL, Atienza AA. A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med. 2007 Oct;33(4):336–345. doi: 10.1016/j.amepre.2007.05.007.
    1. Prochaska JJ, Prochaska JO. A Review of Multiple Health Behavior Change Interventions for Primary Prevention. American Journal of Lifestyle Medicine. 2011 Jan 07;5(3):208–221. doi: 10.1177/1559827610391883.
    1. Hyman DJ, Pavlik VN, Taylor WC, Goodrick GK, Moye L. Simultaneous vs sequential counseling for multiple behavior change. Arch Intern Med. 2007 Jun 11;167(11):1152–8. doi: 10.1001/archinte.167.11.1152.
    1. Vandelanotte C, De BI, Brug J. Two-year follow-up of sequential and simultaneous interactive computer-tailored interventions for increasing physical activity and decreasing fat intake. Ann Behav Med. 2007 Apr;33(2):213–9. doi: 10.1080/08836610701310086.
    1. Joseph AM, Willenbring ML, Nugent SM, Nelson DB. A randomized trial of concurrent versus delayed smoking intervention for patients in alcohol dependence treatment. J Stud Alcohol. 2004 Nov;65(6):681–91.
    1. Jakicic JM, Davis KK, Rogers RJ, King WC, Marcus MD, Helsel D, Rickman AD, Wahed AS, Belle SH. Effect of Wearable Technology Combined With a Lifestyle Intervention on Long-term Weight Loss: The IDEA Randomized Clinical Trial. JAMA. 2016 Sep 20;316(11):1161–1171. doi: 10.1001/jama.2016.12858.
    1. Thosar SS, Niederhausen M, Lapidus J, Fino NF, Cigarroa J, Minnier J, Colner S, Nayak A, Burchill LJ. Self-regulated use of a wearable activity sensor is not associated with improvements in physical activity, cardiometabolic risk or subjective health status. Br J Sports Med. 2017 Dec 08; doi: 10.1136/bjsports-2017-098512.
    1. Royer H, Stehr M, Sydnor J. Incentives, Commitments, and Habit Formation in Exercise: Evidence from a Field Experiment with Workers at a Fortune-500 Company. American Economic Journal: Applied Economics. 2015 Jul;7(3):51–84. doi: 10.1257/app.20130327.60.
    1. Schneider KL, Coons MJ, McFadden HG, Pellegrini CA, DeMott A, Siddique J, Hedeker D, Aylward L, Spring B. Mechanisms of Change in Diet and Activity in the Make Better Choices 1 Trial. Health Psychol. 2016 Apr 07;35(7):723–732. doi: 10.1037/hea0000333.
    1. Pampel FC, Rogers RG. Socioeconomic status, smoking, and health: a test of competing theories of cumulative advantage. J Health Soc Behav. 2004 Sep;45(3):306–21. doi: 10.1177/002214650404500305.
    1. Stringhini S, Dugravot A, Kivimaki M, Shipley M, Zins M, Goldberg M, Ferrie JE, Singh-Manoux A. Do different measures of early life socioeconomic circumstances predict adult mortality? Evidence from the British Whitehall II and French GAZEL studies. J Epidemiol Community Health. 2011 Dec;65(12):1097–103. doi: 10.1136/jech.2009.102376.
    1. Cooney NL, Litt MD, Sevarino KA, Levy L, Kranitz LS, Sackler H, Cooney JL. Concurrent alcohol and tobacco treatment: Effect on daily process measures of alcohol relapse risk. J Consult Clin Psychol. 2015 Apr;83(2):346–58. doi: 10.1037/a0038633.
    1. Kahler CW, Metrik J, LaChance HR, Ramsey SE, Abrams DB, Monti PM, Brown RA. Addressing heavy drinking in smoking cessation treatment: a randomized clinical trial. J Consult Clin Psychol. 2008 Oct;76(5):852–62. doi: 10.1037/a0012717.
    1. Bush T, Lovejoy J, Javitz H, Torres A, Wassum K, Magnussen B. Implementation of a combined smoking cessation weight management intervention in quitlines. Society for Research on Nicotine Tobacco Annual Meeting; 2016; Chicago, IL. 2016.
    1. Farley AC, Hajek P, Lycett D, Aveyard P. Interventions for preventing weight gain after smoking cessation. Cochrane Database Syst Rev. 2012 Jan 18;1:CD006219. doi: 10.1002/14651858.CD006219.pub3.
    1. Hall SM, Tunstall CD, Vila KL, Duffy J. Weight gain prevention and smoking cessation: cautionary findings. Am J Public Health. 1992 Jun;82(6):799–803.
    1. Spring B, Duncan JM, Janke EA, Kozak AT, McFadden HG, DeMott A, Pictor A, Epstein LH, Siddique J, Pellegrini CA, Buscemi J, Hedeker D. Integrating technology into standard weight loss treatment: a randomized controlled trial. JAMA Intern Med. 2013 Jan 28;173(2):105–11. doi: 10.1001/jamainternmed.2013.1221.
    1. Pellegrini CA, Verba SD, Otto AD, Helsel DL, Davis KK, Jakicic JM. The comparison of a technology-based system and an in-person behavioral weight loss intervention. Obesity (Silver Spring) 2012 Feb;20(2):356–63. doi: 10.1038/oby.2011.13. doi: 10.1038/oby.2011.13.

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