Print versus a culturally-relevant Facebook and text message delivered intervention to promote physical activity in African American women: a randomized pilot trial

Rodney P Joseph, Colleen Keller, Marc A Adams, Barbara E Ainsworth, Rodney P Joseph, Colleen Keller, Marc A Adams, Barbara E Ainsworth

Abstract

Background: African American women report insufficient physical activity and are disproportionally burdened by associated disease conditions; indicating the need for innovative approaches to promote physical activity in this underserved population. Social media platforms (i.e. Facebook) and text messaging represent potential mediums to promote physical activity. This paper reports the results of a randomized pilot trial evaluating a theory-based (Social Cognitive Theory) multi-component intervention using Facebook and text-messages to promote physical activity among African American women.

Methods: Participants (N = 29) were randomly assigned to receive one of two multi-component physical activity interventions over 8 weeks: a culturally-relevant, Social Cognitive Theory-based, intervention delivered by Facebook and text message (FI) (n = 14), or a non-culturally tailored print-based intervention (PI) (n = 15) consisting of promotion brochures mailed to their home. The primary outcome of physical activity was assessed by ActiGraph GT3X+ accelerometers. Secondary outcomes included self-reported physical activity, physical activity-related psychosocial variables, and participant satisfaction.

Results: All randomized participants (N = 29) completed the study. Accelerometer measured physical activity showed that FI participants decreased sedentary time (FI = -74 minutes/week vs. PI = +118 minute/week) and increased light intensity (FI = +95 minutes/week vs. PI = +59 minutes/week) and moderate-lifestyle intensity physical activity (FI = + 27 minutes/week vs. PI = -34 minutes/week) in comparison to PI participants (all P's < .05). No between group differences for accelerometer measured moderate-to-vigorous intensity physical activity were observed (P > .05). Results of secondary outcomes showed that in comparison to the PI, FI participants self-reported greater increases in moderate-to-vigorous physical activity (FI = +62 minutes/week vs. PI = +6 minutes/week; P = .015) and had greater enhancements in self-regulation for physical activity (P < .001) and social support from family for physical activity (P = .044). Satisfaction with the FI was also high: 100% reported physical activity-related knowledge gains and 100% would recommend the program to a friend.

Conclusions: A culturally-relevant Facebook and text message delivered physical activity program was associated with several positive outcomes, including decreased sedentary behavior, increased light- and moderate-lifestyle intensity physical activity, enhanced psychosocial outcomes, and high participant satisfaction. Future studies with larger samples are warranted to further explore the efficacy of technology-based approaches to promote physical activity among African American women.

Trial registration: ClinicalTrials.gov NCT02372565 . Registered 25 February 2015.

Figures

Figure 1
Figure 1
Consort diagram illustrating participant flow.
Figure 2
Figure 2
Mean weekly pedometer-measured steps per of day according to intervention group.

References

    1. Centers for Disease Control and Prevention. U.S. Physical Activity Statistics. 2010 []
    1. U.S. Cancer Statistics Working Group: United States Cancer Statistics . United States Cancer Statistics. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention and National Cancer Institute; 2010. 1999–2007 Incidence and Mortality Web-Based Report.
    1. Smith A. Smartphone ownership- 2013 update []
    1. Lenhart A. Cell phones and American adults []
    1. Duggan M, Brenner J. Demographics of social media users- 2012 []
    1. Duggan M. Cell phone activities 2013 []
    1. Pekmezi DW, Williams DM, Dunsiger S, Jennings EG, Lewis BA, Jakicic JM, et al. Feasibility of using computer-tailored and internet-based interventions to promote physical activity in underserved populations. Telemed J E Health. 2010;16(4):498–503. doi: 10.1089/tmj.2009.0135.
    1. Joseph RP, Pekmezi D, Dutton GR, Cherrington AL, Kim Y Allison JJ, Durant NH. Results of a culturally adapted Internet-enhanced physical activity pilot intervention for overweight and obese young adult African American women. J Transcult Nurs 2014, doi:10.1177/1043659614539176.
    1. Joseph RP, Pekmezi DW, Lewis T, Dutton G, Turner LW, Durant NH. Physical activity and social cognitive theory outcomes of an internet-enhanced physical activity intervention for African American female college students. J Health Dispar Res Pract. 2013;6(2):18.
    1. Gerber BS, Stolley MR, Thompson AL, Sharp LK, Fitzgibbon ML. Mobile phone text messaging to promote healthy behaviors and weight loss maintenance: a feasibility study. Health Informatics J. 2009;15(1):17–25. doi: 10.1177/1460458208099865.
    1. Kim BH, Glanz K. Text messaging to motivate walking in older African Americans: a randomized controlled trial. Am J Prev Med. 2013;44(1):71–75. doi: 10.1016/j.amepre.2012.09.050.
    1. Pagan J, Joseph R, Kim Y, Allison J, Cherrington A, Durant NH. FIT HARRT plus: a study of participant informed text messages to promote physical activity in adolescent and young adult African american women [abstract] J Adolescent Health. 2014;54(2):S45. doi: 10.1016/j.jadohealth.2013.10.103.
    1. Joseph RP, Durant NH, Benitez TB, Pekmezi DW. Internet-based physical activity interventions. Am J Lifestyle Med. 2013;8:42–68. doi: 10.1177/1559827613498059.
    1. Davies CA, Spence JC, Vandelanotte C, Caperchione CM, Mummery WK. Meta-analysis of internet-delivered interventions to increase physical activity levels. Int J Behav Nutr Phys Act. 2012;9:52. doi: 10.1186/1479-5868-9-52.
    1. Vandelanotte C, Spathonis KM, Eakin EG, Owen N. Website-delivered physical activity interventions a review of the literature. Am J Prev Med. 2007;33:54–64. doi: 10.1016/j.amepre.2007.02.041.
    1. Maher CA, Lewis LK, Ferrar K, Marshall S, De Bourdeaudhuij I, Vandelanotte C. Are health behavior change interventions that use online social networks effective? A systematic review. J Med Internet Res. 2014;16(2):e40. doi: 10.2196/jmir.2952.
    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;33(4):336–345. doi: 10.1016/j.amepre.2007.05.007.
    1. Valle CG, Tate DF, Mayer DK, Allicock M, Cai J. A randomized trial of a Facebook-based physical activity intervention for young adult cancer survivors. J Cancer Surviv. 2013;7(3):355–368. doi: 10.1007/s11764-013-0279-5.
    1. Laranjo L, Arguel A, Neves AL, Gallagher AM, Kaplan R, Mortimer N et al. The influence of social networking sites on health behavior change: a systematic review and meta-analysis. J Am Med Inform Assoc 2014, doi:10.1136/amiajnl-2014-002841
    1. Napolitano MA, Hayes S, Bennett GG, Ives AK, Foster GD. Using Facebook and text messaging to deliver a weight loss program to college students. Obesity. 2013;21(1):25–31. doi: 10.1002/oby.20232.
    1. Herring SJ, Cruice JF, Bennett GG, Davey A, Foster GD. Using technology to promote postpartum weight loss in urban, low-income mothers: a pilot randomized controlled trial. J Nutr Educ Behav 2014, doi:10.1016/j.jneb.2014.06.002
    1. Bandura A. Social foundations of thought and action: a social cognitive framework. Prentice Hall: Englewood Cliffs, NJ; 1986.
    1. Marcus BH, Dubbert PM, Sallis JF, King AC, Yancey AK, Franklin BA, et al. Physical activity intervention studies: what we know and what we need to know: a scientific statement from the American Heart Association Council on Nutrition, Physical Activity, and Metabolism (Subcommittee on Physical Activity); Council on Cardiovascular Disease in the Young; and the Interdisciplinary Working Group on Quality of Care and Outcomes Research. Circulation. 2006;114:2739–2752. doi: 10.1161/CIRCULATIONAHA.106.179683.
    1. Joseph RP, Ainsworth BE, Keller C, Dodgson JE. Barriers to physical activity among African American women: an integrative review of the literature. Women Health, in press.
    1. Giannakidou DM, Kambas A, Ageloussis N, Fatouros I, Christoforidis C, Venetsanou F, et al. The validity of two Omron pedometers during treadmill walking is speed dependent. Eur J Appl Physiol. 2012;112(1):49–57. doi: 10.1007/s00421-011-1951-y.
    1. U.S. Department of Health and Human Services . 2008 Physical Activity Guidelines for Americans. Hyattsville, MD: US Department of Health and Human Services; 2008.
    1. Durant NH, Joseph RP, Cherrington A, Cuffee Y, Knight B, Lewis D, Jr, Allison JJ. Recommendations for a culturally relevant internet-based tool to promote physical activity among overweight young African American women, Alabama, 2010–2011. Prev Chronic Dis. 2014;130169:1–11.
    1. Fleury J, Lee SM. The social ecological model and physical activity in African American women. Am J Community Psychol. 2006;37(1–2):129–140.
    1. Hawkins RP, Kreuter M, Resnicow K, Fishbein M, Dijkstra A. Understanding tailoring in communicating about health. Health Educ Res. 2008;23(3):454–466. doi: 10.1093/her/cyn004.
    1. Resnicow K, Baranowski T, Ahluwalia JS, Braithwaite RL. Cultural sensitivity in public health: defined and demystified. Ethn Dis. 1999;9(1):10–21.
    1. Castro FG, Barrera M, Jr, Martinez CR., Jr The cultural adaptation of prevention interventions: resolving tensions between fidelity and fit. Prev Sci. 2004;5(1):41–45. doi: 10.1023/B:.
    1. Adams M, Sallis J, Norman G, Hovell M, Keckler E, Perata E. An adaptive physical activity intervention for overweight adults: a randomized controlled trial. PLoS One. 2013;8(12):11. doi: 10.1371/journal.pone.0082901.
    1. American Heart Association . Commit To Be Fit. Lithographed in Canada: Krames StayWell; 2010.
    1. American Heart Association . My Personal Health Tracker. USA: Krames StayWell; 2012.
    1. American Heart Association . Just Move! USA: Krames StayWell; 2013.
    1. American Heart Association . Walking for a Healthy Heart. USA: Krames StayWell; 2013.
    1. Bock BC, Marcus BH, Pinto BM, Forsyth LH. Maintenance of physical activity following an individualized motivationally tailored intervention. Ann Behav Med. 2001;23(2):79–87. doi: 10.1207/S15324796ABM2302_2.
    1. Marcus BH, Bock BC, Pinto BM, Forsyth LH, Roberts MB, Traficante RM. Efficacy of an individualized, motivationally-tailored physical activity intervention. Ann Behav Med. 1998;20(3):174–180. doi: 10.1007/BF02884958.
    1. Matthews CE, Chen KY, Freedson PS, Buchowski MS, Beech BM, Pate RR, et al. Amount of time spent in sedentary behaviors in the United States, 2003–2004. Am J Epidemiol. 2008;167(7):875–881. doi: 10.1093/aje/kwm390.
    1. Matthew CE. Calibration of accelerometer output for adults. Med Sci Sports Exerc. 2005;37(Suppl 11):S512–522. doi: 10.1249/01.mss.0000185659.11982.3d.
    1. Freedson PS, Melanson E, Sirard J. Calibration of the Computer Science and Applications, Inc. accelerometer. Med Sci Sports Exerc. 1998;30(5):777–781. doi: 10.1097/00005768-199805000-00021.
    1. Coleman KJ, Ngor E, Reynolds K, Quinn VP, Koebnick C, Young DR, et al. Initial validation of an exercise “vital sign” in electronic medical records. Med Sci Sports Exerc. 2012;44(11):2071–2076. doi: 10.1249/MSS.0b013e3182630ec1.
    1. Sallis JF, Pinski RB, Grossman RM, Patterson TL, Nader PR. The development of self-efficacy scales for health-related diet and exercise behaviors. Health Educ Res. 1988;3(3):283–292. doi: 10.1093/her/3.3.283.
    1. Sallis JF, Grossman RM, Pinski RB, Patterson TL, Nader PR. The development of scales to measure social support for diet and exercise behaviors. Prev Med. 1987;16(6):825–836. doi: 10.1016/0091-7435(87)90022-3.
    1. Anderson ES, Winett RA, Wojcik JR, Williams DM. Social cognitive mediators of change in a group randomized nutrition and physical activity intervention: social support, self-efficacy, outcome expectations and self-regulation in the guide-to-health trial. J Health Psychol. 2010;15(1):21–32. doi: 10.1177/1359105309342297.
    1. Anderson ES, Wojcik JR, Winett RA, Williams DM. Social-cognitive determinants of physical activity: the influence of social support, self-efficacy, outcome expectations, and self-regulation among participants in a church-based health promotion study. Health Psychol. 2006;25(4):510–520. doi: 10.1037/0278-6133.25.4.510.
    1. Resnick B, Zimmerman SI, Orwig D, Furstenberg AL, Magaziner J. Outcome expectations for exercise scale: utility and psychometrics. J Gerontol B Psychol Sci Soc Sci. 2000;55(Suppl 6):S352–356. doi: 10.1093/geronb/55.6.S352.
    1. Resnick B, Luisi D, Vogel A, Junaleepa P. Reliability and validity of the self-efficacy for exercise and outcome expectations for exercise scales with minority older adults. J Nurs Meas. 2004;12(3):235–247. doi: 10.1891/jnum.12.3.235.
    1. Pekmezi D, Dunsiger S, Gans K, Bock B, Gaskins R, Marquez B, et al. Rationale, design, and baseline findings from Seamos Saludables: a randomized controlled trial testing the efficacy of a culturally and linguistically adapted, computer- tailored physical activity intervention for Latinas. Contemp Clin Trials. 2012;33(6):1261–1271. doi: 10.1016/j.cct.2012.07.005.
    1. Pekmezi D, Marcus B, Meneses K, Baskin ML, Ard JD, Martin MY, et al. Developing an intervention to address physical activity barriers for African-American women in the deep south (USA) Womens Health. 2013;9(3):301–312.
    1. Conn VS, Hafdahl AR, Mehr DR. Interventions to increase physical activity among healthy adults: meta-analysis of outcomes. Am J Public Health. 2011;101(4):751–758. doi: 10.2105/AJPH.2010.194381.
    1. Hall RR, Francis S, Whitt-Glover M, Loftin-Bell K, Swett K, McMichael AJ. Hair care practices as a barrier to physical activity in African American women. JAMA Dermatol. 2013;149(3):310–314. doi: 10.1001/jamadermatol.2013.1946.
    1. Harley AE, Odoms-Young A, Beard B, Katz ML, Heaney CA. African American social and cultural contexts and physical activity: strategies for navigating challenges to participation. Women Health. 2009;49(1):84–100. doi: 10.1080/03630240802690861.
    1. Sanderson BK, Foushee HR, Bittner V, Cornell CE, Stalker V, Shelton S, et al. Personal, social, and physical environmental correlates of physical activity in rural African-American women in Alabama. Am J Prev Med. 2003;25(3 Suppl 1):30–37. doi: 10.1016/S0749-3797(03)00162-4.
    1. Im EO, Ko Y, Hwang H, Yoo KH, Chee W, Stuifbergen A, et al. “Physical activity as a luxury”: African American women’s attitudes toward physical activity. West J Nurs Res. 2012;34(3):317–339. doi: 10.1177/0193945911400637.
    1. Kreuter MW, Lukwago SN, Bucholtz RD, Clark EM, Sanders-Thompson V. Achieving cultural appropriateness in health promotion programs: targeted and tailored approaches. Health Educ Behav. 2003;30(2):133–146. doi: 10.1177/1090198102251021.
    1. Resnicow K, Soler R, Braithwaite RL, Ahluwalia JS, Butler J. Cultural sensitivity in substance use prevention. J Community Psychol. 2000;28(3):271–290. doi: 10.1002/(SICI)1520-6629(200005)28:3<271::AID-JCOP4>;2-I.
    1. Resnicow K, Braithwaite R, Dilorio C, Glanz K. Applying theory to culturally diverse and unique populations. In: Glanz K, Lewis F, Rimer B, editors. Health Behavior and Health Education: Theory, Research and Practice. San Francisco, CA: Jossey-Bass; 2002. pp. 485–509.
    1. Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010;31:399–418. doi: 10.1146/annurev.publhealth.012809.103604.
    1. Banks-Wallace J, Conn V. Interventions to promote physical activity among African American women. Public Health Nurs. 2002;19(5):321–335. doi: 10.1046/j.1525-1446.2002.19502.x.

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