Twitter-Based Social Support Added to Fitbit Self-Monitoring for Decreasing Sedentary Behavior: Protocol for a Randomized Controlled Pilot Trial With Female Patients From a Women's Heart Clinic

Marily Oppezzo, Jennifer Tremmel, Manisha Desai, Michael Baiocchi, Danielle Ramo, Mark Cullen, Judith J Prochaska, Marily Oppezzo, Jennifer Tremmel, Manisha Desai, Michael Baiocchi, Danielle Ramo, Mark Cullen, Judith J Prochaska

Abstract

Background: Prolonged sitting is an independent risk behavior for the development of chronic disease. With most interventions focusing on physical activity and exercise, there is a separate need for investigation into innovative and accessible interventions to decrease sedentary behavior throughout the day. Twitter is a social media platform with application for health communications and fostering of social support for health behavior change.

Objective: This pilot study aims to test the feasibility, acceptability, and preliminary efficacy of delivering daily behavior change strategies within private Twitter groups to foster peer-to-peer support and decrease sedentary behavior throughout the day in women. The Twitter group was combined with a Fitbit for self-monitoring activity and compared to a Fitbit-only control group.

Methods: In a 2-group design, participants were randomized to a Twitter + Fitbit treatment group or a Fitbit-only control group. Participants were recruited via the Stanford Research Repository System, screened for eligibility, and then invited to an orientation session. After providing informed consent, they were randomized. All participants received 13 weeks of tailored weekly step goals and a Fitbit. The treatment group participants, placed in a private Twitter support group, received daily automated behavior change "tweets" informed by theory and regular automated encouragement via text to communicate with the group. Fitbit data were collected daily throughout the treatment and follow-up period. Web-based surveys and accelerometer data were collected at baseline, treatment end (13 weeks), and at 8.5 weeks after the treatment.

Results: The initial study design funding was obtained from the Women's Heart Clinic and the Stanford Clayman Institute. Funding to run this pilot study was received from the National Institutes of Health's National Heart, Lung, and Blood Institute under Award Number K01HL136702. All procedures were approved by Stanford University's Institutional Review Board, #32127 in 2018, prior to beginning data collection. Recruitment for this study was conducted in May 2019. Of the 858 people screened, 113 met the eligibility criteria, 68 came to an information session, and 45 consented to participate in this pilot study. One participant dropped out of the intervention, and complete follow-up data were obtained from 39 of the 45 participants (87% of the sample). Data were collected over 6 months from June to December 2019. Feasibility, acceptability, and preliminary efficacy results are being analyzed and will be reported in the winter of 2021.

Conclusions: This pilot study is assessing the feasibility, acceptability, and preliminary efficacy of delivering behavior change strategies in a Twitter social support group to decrease sedentary behavior in women. These findings will inform a larger evaluation. With an accessible, tailorable, and flexible platform, Twitter-delivered interventions offer potential for many treatment variations and titrations, thereby testing the effects of different behavior change strategies, peer-group makeups, and health behaviors of interest.

Trial registration: ClinicalTrials.gov NCT02958189, https://ichgcp.net/clinical-trials-registry/NCT02958189.

International registered report identifier (irrid): DERR1-10.2196/20926.

Keywords: Fitbit; Twitter; behavior change theory; eHealth; intervention; mobile phone; sedentary behavior; support group.

Conflict of interest statement

Conflicts of Interest: None declared.

©Marily Oppezzo, Jennifer Tremmel, Manisha Desai, Michael Baiocchi, Danielle Ramo, Mark Cullen, Judith J Prochaska. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 04.12.2020.

Figures

Figure 1
Figure 1
CONSORT diagram. CONSORT: Consolidated Standards of Reporting Trials.

References

    1. Carter S, Hartman Y, Holder S, Thijssen DH, Hopkins ND. Sedentary Behavior and Cardiovascular Disease Risk: Mediating Mechanisms. Exerc Sport Sci Rev. 2017 Apr;45(2):80–86. doi: 10.1249/JES.0000000000000106.
    1. Same RV, Feldman DI, Shah N, Martin SS, Al Rifai M, Blaha MJ, Graham G, Ahmed HM. Relationship Between Sedentary Behavior and Cardiovascular Risk. Curr Cardiol Rep. 2016 Jan;18(1):6. doi: 10.1007/s11886-015-0678-5.
    1. Evenson KR, Butler EN, Rosamond WD. Prevalence of physical activity and sedentary behavior among adults with cardiovascular disease in the United States. J Cardiopulm Rehabil Prev. 2014;34(6):406–19. doi: 10.1097/HCR.0000000000000064.
    1. Seguin R, Buchner DM, Liu J, Allison M, Manini T, Wang C, Manson JE, Messina CR, Patel MJ, Moreland L, Stefanick ML, Lacroix AZ. Sedentary behavior and mortality in older women: the Women's Health Initiative. Am J Prev Med. 2014 Feb;46(2):122–35. doi: 10.1016/j.amepre.2013.10.021.
    1. Lyden K, Keadle SK, Staudenmayer J, Braun B, Freedson PS. Discrete features of sedentary behavior impact cardiometabolic risk factors. Med Sci Sports Exerc. 2015 May;47(5):1079–86. doi: 10.1249/MSS.0000000000000499.
    1. Chomistek AK, Manson JE, Stefanick ML, Lu B, Sands-Lincoln M, Going SB, Garcia L, Allison MA, Sims ST, LaMonte MJ, Johnson KC, Eaton CB. Relationship of sedentary behavior and physical activity to incident cardiovascular disease: results from the Women's Health Initiative. J Am Coll Cardiol. 2013 Jun 11;61(23):2346–54. doi: 10.1016/j.jacc.2013.03.031.
    1. Lanningham-Foster L, Nysse LJ, Levine JA. Labor saved, calories lost: the energetic impact of domestic labor-saving devices. Obes Res. 2003 Oct;11(10):1178–81. doi: 10.1038/oby.2003.162. doi: 10.1038/oby.2003.162.
    1. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, Troiano RP. Amount of time spent in sedentary behaviors in the United States, 2003-2004. Am J Epidemiol. 2008 Apr 01;167(7):875–81. doi: 10.1093/aje/kwm390.
    1. Healy GN, Wijndaele K, Dunstan DW, Shaw JE, Salmon J, Zimmet PZ, Owen N. Objectively measured sedentary time, physical activity, and metabolic risk: the Australian Diabetes, Obesity and Lifestyle Study (AusDiab) Diabetes Care. 2008 Feb;31(2):369–71. doi: 10.2337/dc07-1795.
    1. Lee I, Shiroma EJ, Kamada M, Bassett DR, Matthews CE, Buring JE. Association of Step Volume and Intensity With All-Cause Mortality in Older Women. JAMA Intern Med. 2019 May 29; doi: 10.1001/jamainternmed.2019.0899.
    1. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, George SM, Olson RD. The Physical Activity Guidelines for Americans. JAMA. 2018 Nov 20;320(19):2020–2028. doi: 10.1001/jama.2018.14854.
    1. King Ac, Whitt-Glover MC, Marquez DX, Buman MP, Napolitano MA, Jakicic J, Fulton JE, Tennant BL. Physical Activity Promotion. 2019;51(6):1340–1353. doi: 10.1249/mss.0000000000001945.
    1. Chau JY, der Ploeg Hidde P van, van Uffelen Jannique G Z, Wong J, Riphagen I, Healy GN, Gilson ND, Dunstan DW, Bauman AE, Owen N, Brown WJ. Are workplace interventions to reduce sitting effective? A systematic review. Prev Med. 2010 Nov;51(5):352–6. doi: 10.1016/j.ypmed.2010.08.012.
    1. Sutherland C, Kynn M, Cole R, Gray M. Interventions reducing sedentary behaviour of adults: An update of evidence. Health Education Journal. 2019 Oct 03;79(3):362–374. doi: 10.1177/0017896919878225.
    1. Healy GN, Eakin EG, Lamontagne AD, Owen N, Winkler EAH, Wiesner G, Gunning L, Neuhaus M, Lawler S, Fjeldsoe BS, Dunstan DW. Reducing sitting time in office workers: short-term efficacy of a multicomponent intervention. Prev Med. 2013 Jul;57(1):43–8. doi: 10.1016/j.ypmed.2013.04.004.
    1. Maher C, Ryan J, Kernot J, Podsiadly J, Keenihan S. Social media and applications to health behavior. Current Opinion in Psychology. 2016 Jun;9:50–55. doi: 10.1016/j.copsyc.2015.10.021.
    1. Huang Y, Benford S, Blake H. Digital Interventions to Reduce Sedentary Behaviors of Office Workers: Scoping Review. J Med Internet Res. 2019 Feb 07;21(2):e11079. doi: 10.2196/11079.
    1. King AC, Hekler EB, Grieco LA, Winter SJ, Sheats JL, Buman MP, Banerjee B, Robinson TN, Cirimele J. Harnessing different motivational frames via mobile phones to promote daily physical activity and reduce sedentary behavior in aging adults. PLoS One. 2013;8(4):e62613. doi: 10.1371/journal.pone.0062613.
    1. Riley WT, Rivera DE, Atienza AA, Nilsen W, Allison SM, Mermelstein R. Health behavior models in the age of mobile interventions: are our theories up to the task? Transl Behav Med. 2011 Mar;1(1):53–71. doi: 10.1007/s13142-011-0021-7.
    1. Pechmann C, Pan L, Delucchi K, Lakon CM, Prochaska JJ. Development of a Twitter-based intervention for smoking cessation that encourages high-quality social media interactions via automessages. J Med Internet Res. 2015 Feb 23;17(2):e50. doi: 10.2196/jmir.3772.
    1. Bandura A. Social cognitive theory: an agentic perspective. Annu Rev Psychol. 2001;52:1–26. doi: 10.1146/annurev.psych.52.1.1.
    1. Davis R, Campbell R, Hildon Z, Hobbs L, Michie S. Theories of behaviour and behaviour change across the social and behavioural sciences: a scoping review. Health Psychol Rev. 2015 Sep;9(3):323–44. doi: 10.1080/17437199.2014.941722.
    1. Social media use in the U.S. in 2019. Pew Research Center. [2020-04-26].
    1. Twitter by the Numbers: Stats, Demographics & Fun Facts. [2020-04-26].
    1. An LC, Schillo BA, Saul JE, Wendling AH, Klatt CM, Berg CJ, Ahulwalia JS, Kavanaugh AM, Christenson M, Luxenberg MG. Utilization of smoking cessation informational, interactive, and online community resources as predictors of abstinence: cohort study. J Med Internet Res. 2008 Dec 20;10(5):e55. doi: 10.2196/jmir.1018.
    1. Cole-Lewis H, Ezeanochie N, Turgiss J. Understanding Health Behavior Technology Engagement: Pathway to Measuring Digital Behavior Change Interventions. JMIR Form Res. 2019 Oct 10;3(4):e14052. doi: 10.2196/14052.
    1. Pechmann C, Delucchi K, Lakon CM, Prochaska JJ. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tob Control. 2017 Mar;26(2):188–194. doi: 10.1136/tobaccocontrol-2015-052768.
    1. Prochaska JJ, Pechmann C, Kim R, Leonhardt JM. Twitter=quitter? An analysis of Twitter quit smoking social networks. Tob Control. 2012 Jul;21(4):447–9. doi: 10.1136/tc.2010.042507.
    1. Brickwood K, Watson G, O'Brien J, Williams AD. Consumer-Based Wearable Activity Trackers Increase Physical Activity Participation: Systematic Review and Meta-Analysis. JMIR Mhealth Uhealth. 2019 Apr 12;7(4):e11819. doi: 10.2196/11819.
    1. Compernolle S, DeSmet A, Poppe L, Crombez G, De Bourdeaudhuij I, Cardon G, van der Ploeg HP, Van Dyck D. Effectiveness of interventions using self-monitoring to reduce sedentary behavior in adults: a systematic review and meta-analysis. Int J Behav Nutr Phys Act. 2019 Aug 13;16(1):63. doi: 10.1186/s12966-019-0824-3.
    1. Cadmus-Bertram LA, Marcus BH, Patterson RE, Parker BA, Morey BL. Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women. Am J Prev Med. 2015 Sep;49(3):414–8. doi: 10.1016/j.amepre.2015.01.020.
    1. Cadmus-Bertram L, Marcus BH, Patterson RE, Parker BA, Morey BL. Use of the Fitbit to Measure Adherence to a Physical Activity Intervention Among Overweight or Obese, Postmenopausal Women: Self-Monitoring Trajectory During 16 Weeks. JMIR Mhealth Uhealth. 2015 Nov 19;3(4):e96. doi: 10.2196/mhealth.4229.
    1. Boutron I, Moher D, Altman DG, Schulz KF, Ravaud P, CONSORT Group Extending the CONSORT statement to randomized trials of nonpharmacologic treatment: explanation and elaboration. Ann Intern Med. 2008 Feb 19;148(4):295–309. doi: 10.7326/0003-4819-148-4-200802190-00008.
    1. Michie S, Richardson M, Johnston M, Abraham C, Francis J, Hardeman W, Eccles MP, Cane J, Wood CE. The behavior change technique taxonomy (v1) of 93 hierarchically clustered techniques: building an international consensus for the reporting of behavior change interventions. Ann Behav Med. 2013 Aug;46(1):81–95. doi: 10.1007/s12160-013-9486-6.
    1. Cane J, O'Connor D, Michie S. Validation of the theoretical domains framework for use in behaviour change and implementation research. Implement Sci. 2012 Apr 24;7:37. doi: 10.1186/1748-5908-7-37.
    1. Prochaska J, Velicer W. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48. doi: 10.4278/0890-1171-12.1.38.
    1. Gollwitzer P. Implementation intentions: Strong effects of simple plans. American Psychologist. 1999;54(7):493–503. doi: 10.1037/0003-066X.54.7.493.
    1. Oppezzo M, Schwartz D. A behavior change perspective on self-regulated learning with teachable agents. In: Azevedo R, Aleven V, editors. International Handbook of Metacognition and Learning Technologies. New York, NY: Springer; 2013. p. 500.
    1. Duckworth AL, Gendler TS, Gross JJ. Situational Strategies for Self-Control. Perspect Psychol Sci. 2016 Jan;11(1):35–55. doi: 10.1177/1745691615623247.
    1. Baer RA. Mindfulness Training as a Clinical Intervention: A Conceptual and Empirical Review. Clinical Psychology: Science and Practice. 2006 May 11;10(2):125–143. doi: 10.1093/clipsy.bpg015.
    1. Kiernan M, Moore SD, Schoffman DE, Lee K, King AC, Taylor CB, Kiernan NE, Perri MG. Social support for healthy behaviors: scale psychometrics and prediction of weight loss among women in a behavioral program. Obesity (Silver Spring) 2012 Apr;20(4):756–64. doi: 10.1038/oby.2011.293. doi: 10.1038/oby.2011.293.
    1. Byrom B, Rowe DA. Measuring free-living physical activity in COPD patients: Deriving methodology standards for clinical trials through a review of research studies. Contemp Clin Trials. 2016 Mar;47:172–84. doi: 10.1016/j.cct.2016.01.006.
    1. Byrom B, Stratton G, Mc Carthy M, Muehlhausen W. Objective measurement of sedentary behaviour using accelerometers. Int J Obes (Lond) 2016 Nov;40(11):1809–1812. doi: 10.1038/ijo.2016.136.
    1. Warburton D, Jamnik V, Bredin S, Gledhill N. The Physical Activity Readiness Questionnaire for Everyone (PAR-Q+) and Electronic Physical Activity Readiness Medical Examination (ePARmed-X+) 2011;4(2):3–17. doi: 10.14288/hfjc.v4i2.103.
    1. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009 Apr;42(2):377–81. doi: 10.1016/j.jbi.2008.08.010.
    1. Goldberg JH, Kiernan M. Innovative techniques to address retention in a behavioral weight-loss trial. Health Educ Res. 2005 Aug;20(4):439–47. doi: 10.1093/her/cyg139.
    1. Mayhew M, Leo MC, Vollmer WM, DeBar LL, Kiernan M. Interactive group-based orientation sessions: A method to improve adherence and retention in pragmatic clinical trials. Contemp Clin Trials Commun. 2020 Mar;17:100527. doi: 10.1016/j.conctc.2020.100527.
    1. . [2019-06-01]. .
    1. Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12(1):38–48. doi: 10.4278/0890-1171-12.1.38.
    1. Dweck C, Chiu C, Hong Y. Implicit Theories and Their Role in Judgments and Reactions: A Word From Two Perspectives. Psychological Inquiry. 2009 Nov 19;6(4):267–285. doi: 10.1207/s15327965pli0604_1.
    1. Dweck C. Mindset: the new psychology of success. Choice Reviews Online. 2006 Dec 01;44(04):44-2397–44-2397. doi: 10.5860/choice.44-2397.
    1. Rosenberg DE, Norman GJ, Wagner N, Patrick K, Calfas KJ, Sallis JF. Reliability and validity of the Sedentary Behavior Questionnaire (SBQ) for adults. J Phys Act Health. 2010 Nov;7(6):697–705. doi: 10.1123/jpah.7.6.697.
    1. Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011 Oct 21;8:115. doi: 10.1186/1479-5868-8-115.
    1. Segar ML, Eccles JS, Peck SC, Richardson CR. Midlife Women’s Physical Activity Goals: Sociocultural Influences and Effects on Behavioral Regulation. Sex Roles. 2007 Oct 4;57(11-12):837–849. doi: 10.1007/s11199-007-9322-1.
    1. Segar ML, Eccles JS, Richardson CR. Rebranding exercise: closing the gap between values and behavior. Int J Behav Nutr Phys Act. 2011 Aug 31;8:94. doi: 10.1186/1479-5868-8-94.
    1. Pavey TG, Gomersall SR, Clark BK, Brown WJ. The validity of the GENEActiv wrist-worn accelerometer for measuring adult sedentary time in free living. J Sci Med Sport. 2016 May;19(5):395–9. doi: 10.1016/j.jsams.2015.04.007.

Source: PubMed

3
Subskrybuj