A Church-Based Weight Loss Intervention in African American Adults using Text Messages (LEAN Study): Cluster Randomized Controlled Trial

Robert L Newton Jr, Leah A Carter, William Johnson, Dachuan Zhang, Sandra Larrivee, Betty M Kennedy, Melissa Harris, Daniel S Hsia, Robert L Newton Jr, Leah A Carter, William Johnson, Dachuan Zhang, Sandra Larrivee, Betty M Kennedy, Melissa Harris, Daniel S Hsia

Abstract

Background: African American adults experience a high prevalence of obesity and its associated comorbidities, including diabetes. Church-based interventions have been shown to be effective in decreasing weight in this population. mHealth interventions can address two needs for obesity treatment in this community, including enhancing weight loss and providing wide dissemination.

Objective: This study aimed to assess the feasibility and efficacy of a church-based weight loss intervention that incorporates mHealth technology.

Methods: In this study, 8 churches (n=97) were randomly assigned to the intervention or delayed intervention condition (control group). We recruited participants through their respective church. Volunteer church members were trained by study staff to deliver the 10-session, 6-month intervention. Participants in the intervention group attended group sessions and received automated short message service (SMS) text messages designed to reinforce behavioral strategies. Conversely, participants in the delayed intervention condition received SMS text messages related to health conditions relevant for African American adults. We obtained measures of body composition, blood pressure, blood glucose, and cholesterol.

Results: We successfully recruited 97 African American adults, with a mean age of 56.0 (SE 10.3) years and a mean body mass index of 38.6 (SE 6.4) kg/m2 (89/97, 91.8% females), who attended the churches that were randomized to the intervention (n=68) or control (n=29) condition. Of these, 74.2% (72/97) of the participants (47/68, 69.1% intervention; 25/29, 86.2% delayed intervention) completed the 6-month assessment. The average intervention group attendance was 55%. There was a significant difference in weight loss (P=.04) between participants in the intervention (-1.5 (SE 0.5) kg) and control (0.11 (SE 0.6) kg) groups. Among participants in the intervention group, the correlation between the number of SMS text messages sent and the percent body fat loss was r=.3 with P=.04. The participants reported high satisfaction with the automated SMS text messages.

Conclusions: Automated SMS text messages were well-received by participants, suggesting that more enhanced mHealth technologies are a viable option for interventions targeting African American adults.

Trial registration: ClinicalTrials.gov NCT02863887; https://ichgcp.net/clinical-trials-registry/NCT02863887 (Archived by WebCite at http://www.webcitation.org/71JiYzizO).

Keywords: African Americans; behavioral strategies; community health; mHealth; mobile phone; obesity; text messages; weight loss.

Conflict of interest statement

Conflicts of Interest: None declared.

©Robert L Newton Jr, Leah A Carter, William Johnson, Dachuan Zhang, Sandra Larrivee, Betty M Kennedy, Melissa Harris, Daniel S Hsia. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.08.2018.

Figures

Figure 1
Figure 1
Study flowchart.

References

    1. Ogden CL, Fakhouri TH, Carroll MD, Hales CM, Fryar CD, Li X, Freedman DS. Prevalence of Obesity Among Adults, by Household Income and Education - United States, 2011-2014. MMWR Morb Mortal Wkly Rep. 2017 Dec 22;66(50):1369–1373. doi: 10.15585/mmwr.mm6650a1. doi: 10.15585/mmwr.mm6650a1.
    1. Menke A, Casagrande S, Geiss L, Cowie CC. Prevalence of and Trends in Diabetes Among Adults in the United States, 1988-2012. JAMA. 2015 Sep 08;314(10):1021–9. doi: 10.1001/jama.2015.10029.
    1. Sieverdes JC, Sui X, Lee D, Church TS, McClain A, Hand GA, Blair SN. Physical activity, cardiorespiratory fitness and the incidence of type 2 diabetes in a prospective study of men. Br J Sports Med. 2010 Mar;44(4):238–44. doi: 10.1136/bjsm.2009.062117.
    1. Lee I, Djoussé L, Sesso HD, Wang L, Buring JE. Physical activity and weight gain prevention. JAMA. 2010 Mar 24;303(12):1173–9. doi: 10.1001/jama.2010.312.
    1. Love R, Adams J, van Sluijs EMF, Foster C, Humphreys D. A cumulative meta-analysis of the effects of individual physical activity interventions targeting healthy adults. Obes Rev. 2018 Apr 27;19(8):1164–1172. doi: 10.1111/obr.12690.
    1. Møller G, Andersen HK, Snorgaard O. A systematic review and meta-analysis of nutrition therapy compared with dietary advice in patients with type 2 diabetes. Am J Clin Nutr. 2017 Dec;106(6):1394–1400. doi: 10.3945/ajcn.116.139626.
    1. Haw JS, Galaviz KI, Straus AN, Kowalski AJ, Magee MJ, Weber MB, Wei J, Narayan KMV, Ali MK. Long-term Sustainability of Diabetes Prevention Approaches: A Systematic Review and Meta-analysis of Randomized Clinical Trials. JAMA Intern Med. 2017 Dec 01;177(12):1808–1817. doi: 10.1001/jamainternmed.2017.6040.
    1. Davis KK, Tate DF, Lang W, Neiberg RH, Polzien K, Rickman AD, Erickson K, Jakicic JM. Racial Differences in Weight Loss Among Adults in a Behavioral Weight Loss Intervention: Role of Diet and Physical Activity. J Phys Act Health. 2015 Dec;12(12):1558–66. doi: 10.1123/jpah.2014-0243.
    1. Cole-Lewis H, Kershaw T. Text messaging as a tool for behavior change in disease prevention and management. Epidemiol Rev. 2010;32:56–69. doi: 10.1093/epirev/mxq004.
    1. Burner ER, Menchine MD, Kubicek K, Robles M, Arora S. Perceptions of successful cues to action and opportunities to augment behavioral triggers in diabetes self-management: qualitative analysis of a mobile intervention for low-income Latinos with diabetes. J Med Internet Res. 2014;16(1):e25. doi: 10.2196/jmir.2881.
    1. Lyzwinski LN, Caffery LJ, Bambling M, Edirippulige S. Consumer perspectives on mHealth for weight loss: a review of qualitative studies. J Telemed Telecare. 2017 Jan 01;:1357633X17692722. doi: 10.1177/1357633X17692722.
    1. McCarroll R, Eyles H, Ni MC. Effectiveness of mobile health (mHealth) interventions for promoting healthy eating in adults: A systematic review. Prev Med. 2017 Dec;105:156–168. doi: 10.1016/j.ypmed.2017.08.022.
    1. Fukuoka Y, Gay CL, Joiner KL, Vittinghoff E. A Novel Diabetes Prevention Intervention Using a Mobile App: A Randomized Controlled Trial With Overweight Adults at Risk. Am J Prev Med. 2015 Aug;49(2):223–37. doi: 10.1016/j.amepre.2015.01.003.
    1. Flores MG, Granado-Font E, Ferré-Grau C, Montaña-Carreras X. Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis. J Med Internet Res. 2015;17(11):e253. doi: 10.2196/jmir.4836.
    1. Schippers M, Adam PC, Smolenski DJ, Wong HT, de Wit JB. A meta-analysis of overall effects of weight loss interventions delivered via mobile phones and effect size differences according to delivery mode, personal contact, and intervention intensity and duration. Obes Rev. 2017 Dec;18(4):450–459. doi: 10.1111/obr.12492.
    1. Semper HM, Povey R, Clark-Carter D. A systematic review of the effectiveness of smartphone applications that encourage dietary self-regulatory strategies for weight loss in overweight and obese adults. Obes Rev. 2016 Sep;17(9):895–906. doi: 10.1111/obr.12428.
    1. Pew Research Center. Mobile Fact Sheet
    1. Anderson M. Pew Research Center. [2017-12-20]. Racial and ethnic differences in how people use mobile technology
    1. Bonar EE, Cunningham RM, Collins RL, Cranford JA, Chermack ST, Zimmerman MA, Blow FC, Walton MA. Feasibility and Acceptability of Text Messaging to Assess Daily Substance Use and Sexual Behaviors among Urban Emerging Adults. Addict Res Theory. 2018;26(2):103–113. doi: 10.1080/16066359.2017.1310205.
    1. Callender C, Thompson D. Text Messaging Based Obesity Prevention Program for Parents of Pre-Adolescent African American Girls. Children (Basel) 2017 Dec 04;4(12):-. doi: 10.3390/children4120105.
    1. Reese JM, Joseph RP, Cherrington A, Allison J, Kim Y, Spear B, Childs G, Simpson T, Durant NH. Development of Participant-Informed Text Messages to Promote Physical Activity Among African American Women Attending College: A Qualitative Mixed-Methods Inquiry. J Transcult Nurs. 2017 Dec;28(3):236–242. doi: 10.1177/1043659616644959.
    1. Kolmodin MK, Naar S, Gibson-Scipio W, Lam P, Secord E. The Detroit Young Adult Asthma Project: Pilot of a Technology-Based Medication Adherence Intervention for African-American Emerging Adults. J Adolesc Health. 2016 Oct;59(4):465–71. doi: 10.1016/j.jadohealth.2016.05.016.
    1. Rodgers RF, Franko DL, Shiyko M, Intille S, Wilson K, O'Carroll D, Lovering M, Matsumoto A, Iannuccilli A, Luk S, Shoemaker H. Exploring healthy eating among ethnic minority students using mobile technology: Feasibility and adherence. Health Informatics J. 2016 Sep;22(3):440–50. doi: 10.1177/1460458214565950.
    1. Evans C, Turner K, Suggs LS, Occa A, Juma A, Blake H. Developing a mHealth intervention to promote uptake of HIV testing among African communities in the UK: a qualitative study. BMC Public Health. 2016 Dec 28;16:656. doi: 10.1186/s12889-016-3278-4.
    1. McCoy P, Leggett S, Bhuiyan A, Brown D, Frye P, Williams B. Text Messaging: An Intervention to Increase Physical Activity among African American Participants in a Faith-Based, Competitive Weight Loss Program. Int J Environ Res Public Health. 2017 Dec 29;14(4):-. doi: 10.3390/ijerph14040326.
    1. Vaughn NA, Brown D, Reyes BO, Wyatt C, Arnold KT, Dalianis E, Kalksma PJ, Roth C, Langheier J, Pajil-Battle M, Grant M. A 40-Day Journey to Better Health: Utilizing the DanielFast to Improve Health Outcomes in Urban Church-Based Settings. Healthcare (Basel) 2018 Mar 05;6(1):E25. doi: 10.3390/healthcare6010025.
    1. Newton RL, Marker AM, Allen HR, Machtmes R, Han H, Johnson WD, Schuna JM, Broyles ST, Tudor-Locke C, Church TS. Parent-targeted mobile phone intervention to increase physical activity in sedentary children: randomized pilot trial. JMIR Mhealth Uhealth. 2014 Nov 10;2(4):e48. doi: 10.2196/mhealth.3420.
    1. Barreira TV, Staiano AE, Katzmarzyk PT. Validity assessment of a portable bioimpedance scale to estimate body fat percentage in white and African-American children and adolescents. Pediatr Obes. 2013 Apr;8(2):e29–32. doi: 10.1111/j.2047-6310.2012.00122.x.
    1. Thompson FE, Midthune D, Subar AF, Kipnis V, Kahle LL, Schatzkin A. Development and evaluation of a short instrument to estimate usual dietary intake of percentage energy from fat. J Am Diet Assoc. 2007 May;107(5):760–7. doi: 10.1016/j.jada.2007.02.006.
    1. Thompson FE, Kipnis V, Subar AF, Krebs-Smith SM, Kahle LL, Midthune D, Potischman N, Schatzkin A. Evaluation of 2 brief instruments and a food-frequency questionnaire to estimate daily number of servings of fruit and vegetables. Am J Clin Nutr. 2000 Jun;71(6):1503–10.
    1. Havas S, Heimendinger J, Damron D, Nicklas TA, Cowan A, Beresford SA, Sorensen G, Buller D, Bishop D, Baranowski T. 5 A Day for better health--nine community research projects to increase fruit and vegetable consumption. Public Health Rep. 1995;110(1):68–79.
    1. Craig CL, Marshall AL, Sjöström M, Bauman AE, Booth ML, Ainsworth BE, Pratt M, Ekelund U, Yngve A, Sallis JF, Oja P. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003 Aug;35(8):1381–95. doi: 10.1249/01.MSS.0000078924.61453.FB.
    1. Frederix I, Hansen D, Coninx K, Vandervoort P, Vandijck D, Hens N, Van CE, Van DN, Dendale P. Medium-Term Effectiveness of a Comprehensive Internet-Based and Patient-Specific Telerehabilitation Program With Text Messaging Support for Cardiac Patients: Randomized Controlled Trial. J Med Internet Res. 2015;17(7):e185. doi: 10.2196/jmir.4799.
    1. Kolotkin RL, Head S, Brookhart A. Construct validity of the Impact of Weight on Quality of Life Questionnaire. Obes Res. 1997 Sep;5(5):434–41.
    1. Newton RL, Perri MG. A randomized pilot trial of exercise promotion in sedentary African-American adults. Ethn Dis. 2004;14(4):548–57.
    1. Harris Paul A, Taylor Robert, Thielke Robert, Payne Jonathon, Gonzalez Nathaniel, Conde Jose G. 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. Tkatch R, Musich S, Draklellis J, Hetzel M, Banks J, Dugan J, Thompson K, Hawkins K. Claim More™: Empowering African American Women to Make Healthy Choices. J Holist Nurs. 2018 Mar;36(1):91–100. doi: 10.1177/0898010117691167.
    1. Lancaster KJ, Carter-Edwards L, Grilo S, Shen C, Schoenthaler AM. Obesity interventions in African American faith-based organizations: a systematic review. Obes Rev. 2014 Oct;15 Suppl 4:159–76. doi: 10.1111/obr.12207.
    1. Turner-McGrievy GM, Wilcox S, Boutté A, Hutto BE, Singletary C, Muth ER, Hoover AW. The Dietary Intervention to Enhance Tracking with Mobile Devices (DIET Mobile) Study: A 6-Month Randomized Weight Loss Trial. Obesity (Silver Spring) 2017 Dec;25(8):1336–1342. doi: 10.1002/oby.21889.
    1. Spring 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.
    1. 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. 2016 Sep 23;:446–462. doi: 10.1007/s12160-016-9830-8.
    1. Collins 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:S197–214. doi: 10.1007/s10461-015-1145-4.
    1. Klasnja P, Hekler EB, Shiffman S, Boruvka A, Almirall D, Tewari A, Murphy SA. Microrandomized trials: An experimental design for developing just-in-time adaptive interventions. Health Psychol. 2015 Dec;34 Suppl:1220–8. doi: 10.1037/hea0000305.
    1. Sattin RW, Williams LB, Dias J, Garvin JT, Marion L, Joshua TV, Kriska A, Kramer MK, Narayan KMV. Community Trial of a Faith-Based Lifestyle Intervention to Prevent Diabetes Among African-Americans. J Community Health. 2016 Feb;41(1):87–96. doi: 10.1007/s10900-015-0071-8.
    1. Kennedy BM, Paeratakul S, Champagne CM, Ryan DH, Harsha DW, McGee B, Johnson G, Deyhim F, Forsythe W, Bogle ML, Lower Mississipi Delta Nutrition Intervention Research Initiative A pilot church-based weight loss program for African-American adults using church members as health educators: a comparison of individual and group intervention. Ethn Dis. 2005;15(3):373–8.

Source: PubMed

3
Prenumerera