Design and implementation of a randomized controlled social and mobile weight loss trial for young adults (project SMART)

Contemporary Clinical Trials

Volumn 37, Issue 1, 2014, Pages 10-18

  Patrick, K ^a,b   Marshall, S J ^a,b   Davila, E P ^a,b   Kolodziejczyk, J K ^a,b,c   Fowler, J H ^b   Calfas, K J ^b   Huang, J S ^a,d,e   Rock, C L ^b   Griswold, W G ^f   Gupta, A ^a   Merchant, G ^a,b,c   Norman, G J ^a,b   Raab, F ^a,b   Donohue, M C ^b   Fogg, B J ^g   Robinson, T N ^h  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c SAN DIEGO STATE UNIVERSITY   (United States)

^d RADY CHILDREN'S HOSPITAL   (United States)

^e UNIVERSITY OF CALIFORNIA SAN DIEGO   (United States)

^f UNIVERSITY OF CALIFORNIA   (United States)

^g STANFORD UNIVERSITY   (United States)

^h STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Health promotion; Internet; Obesity; Social support; Weight loss; Young adult

Indexed keywords

ADULT; ARTICLE; BODY IMAGE; COLLEGE STUDENT; CONCEPTUAL FRAMEWORK; CONTROLLED STUDY; DEPRESSION; DIET; EVIDENCE BASED PRACTICE; FEMALE; FRIEND; HEALTH BEHAVIOR; HEALTH PROMOTION; HUMAN; MAJOR CLINICAL STUDY; MALE; OBESITY; PHYSICAL ACTIVITY; RANDOMIZED CONTROLLED TRIAL (TOPIC); SEDENTARY LIFESTYLE; SELF CONCEPT; SELF ESTEEM; SELF MONITORING; SELF REPORT; SMOKING; SOCIAL AND MOBILE WEIGHT LOSS TRIAL; SOCIAL MEDIA; SOCIAL SUPPORT; STUDY DESIGN; TEXT MESSAGING; THEORY; UNITED STATES; WAIST CIRCUMFERENCE; WEIGHT CONTROL; WEIGHT REDUCTION;

API; APPLICATION PROGRAMMING INTERFACE; HEALTH PROMOTION; INTERNET; OBESITY; PA; PHYSICAL ACTIVITY; RANDOMIZED CONTROLLED TRIAL; RCT; SCT; SHORT MESSAGE SERVICE; SMS; SOCIAL COGNITIVE THEORY; SOCIAL SUPPORT; WEIGHT LOSS; YOUNG ADULT;

ADOLESCENT; ADULT; BEHAVIOR THERAPY; BODY MASS INDEX; BODY WEIGHT; CELLULAR PHONE; COMPUTERS, HANDHELD; ELECTRONIC MAIL; FEMALE; HEALTH BEHAVIOR; HUMANS; MALE; MOBILE APPLICATIONS; OBESITY; OVERWEIGHT; SOCIAL MEDIA; SOCIAL SUPPORT; STUDENTS; UNIVERSITIES; WAIST CIRCUMFERENCE; WEIGHT REDUCTION PROGRAMS; YOUNG ADULT;

EID: 84888382279     PISSN: 15517144     EISSN: 15592030     Source Type: Journal    
DOI: 10.1016/j.cct.2013.11.001     Document Type: Article

References (52)

1. Holm-Denoma J.M., Joiner T.E., Vohs K.D., et al. The "freshman fifteen" (the "freshman five" actually): predictors and possible explanations. Health Psychol 2008, 27:S3-S9.
2. Vella-Zarb R.A., Elgar F.J. The "freshman 5": a meta-analysis of weight gain in the freshman year of college. J Am Coll Health 2009, 58:161-166.
3. Brenner J., Smith A. 72% of online adults are social networking site users Washington, D.C. http://www.pewinternet.org/~/media//Files/Reports/2013/PIP_Social_networking_sites_update.pdf.
4. Smith A. Smartphone ownership 2013, (Washington, D.C.).
5. Duggan M. Cell phone activities 2013, (Washington, D.C.).
6. Trend Data Pew Res. Center's Internet Am. Life Proj http://www.pewinternet.org/Static-Pages/Trend-Data-(Adults)/Online-Activites-Total.aspx.
7. How Facebook has grown: number of active users at Facebook over the years 2013, Assoc. Press.
8. Ellison N., Steinfield C., Lampe C. The benefits of Facebook 'friends': social capital and college students' use of online social network sites. J Comput Mediat Commun 2007, 12:1143-1168.
9. Pempek T.A., Yermolayeva Y.A., Calvert S.L. College students' social networking experiences on Facebook. J Appl Dev Psychol 2009, 30:227-238.
10. Christakis N.A., Fowler J.H. The spread of obesity in a large social network over 32years. N Engl J Med 2007, 357:370-379.
11. Leahey T.M., Gokee LaRose J., Fava J.L., et al. Social influences are associated with BMI and weight loss intentions in young adults. Obesity 2011, 19:1157-1162.
12. Steptoe A., Perkins-Porras L., Rink E., et al. Psychological and social predictors of changes in fruit and vegetable consumption over 12months following behavioral and nutrition education counseling. Health Psychol 2004, 23:574-581.
13. Kiernan M., Moore S.D., Schoffman D.E., et al. Social support for healthy behaviors: scale psychometrics and prediction of weight loss among women in a behavioral program. Obesity 2012, 20:756-764.
14. Tamers S.L., Beresford S.A.A., Cheadle A.D., et al. The association between worksite social support, diet, physical activity, and body mass index. Prev Med (Baltim) 2011, 53:53-56.
15. Rigsby A., Gropper D.M., Gropper S.S. Success of women in a worksite weight loss program: does being part of a group help?. Eat Behav 2009, 10:128-130.
16. Elfhag K., Rössner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev 2005, 6:67-85.
17. Lindsay S., Smith S., Bellaby P., et al. The health impact of an online heart disease support group: a comparison of moderated versus unmoderated support. Health Educ Res 2009, 24:646-654.
18. Krukowski R.A., Harvey-Berino J., Ashikaga T., et al. Internet-based weight control: the relationship between web features and weight loss. Telemed J E Health 2008, 14:775-782.
19. Harvey-Berino J., Pintauro S., Buzzell P., et al. Effect of internet support on the long-term maintenance of weight loss. Obes Res 2004, 12:320-329.
20. Harvey-Berino J., Pintauro S.J., Gold E.C. The feasibility of using Internet support for the maintenance of weight loss. Behav Modif 2002, 26:103-116.
21. Buis L.R. The potential for web-based social network sites and self-regulation for health promotion. Am J Health Promot 2011, 26:73-76.
22. Cobb N.K., Graham A.L. Health behavior interventions in the age of Facebook. Am J Prev Med 2012, 43:571-572.
23. Ballantine P.W., Stephenson R.J. Help me, I'm fat! Social support in online weight loss networks. J Consum Behav 2011, 10:332-337.
24. Bandura A. Social foundations of thought and action: a social cognitive theory 1986, Prentice Hall, Englewood Cliffs, NJ.
25. Carver C.S., Scheier M.F. Control theory: a useful conceptual framework for personality,-social, clinical, and health psychology. Psychol Bull 1982, 92:111-135.
26. Stokols D. Translating social ecological theory into guidelines for community health promotion. Am J Health Promot 1996, 10:282-298.
27. Kadushin C. Introduction to social network theory (accessed 18 Jan2013). http://hevra.haifa.ac.il/~soc/lecturers/talmud/files/521.pdf.
28. Michie S., Abraham C., Whittington C., et al. Effective techniques in healthy eating and physical activity interventions: a meta-regression. Health Psychol 2009, 28:690-701.
29. Webb T.L., Sniehotta F.F., Michie S. Using theories of behaviour change to inform interventions for addictive behaviours. Addiction 2010, 105:1879-1892.
30. Brouwer W., Kroeze W., Crutzen R., et al. Which intervention characteristics are related to more exposure to internet-delivered healthy lifestyle promotion interventions? A systematic review. J Med Internet Res 2011, 13:e2.
31. Norman G.J., Zabinski M.F., Adams M.A., et al. A review of eHealth interventions for physical activity and dietary behavior change. Am J Prev Med 2007, 33:336-345.
32. Doran J. There's a S.M.A.R.T. way to write management's goals and objectives. Manage Rev 1981, 70:35-36.
33. Thompson F.E., Kipnis V., Subar A.F., et al. 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, 71:1503-1510.
34. Subar A.F., Thompson F.E., Kipnis V., et al. Comparative validation of the Block, Willett, and National Cancer Institute Food Frequency Questionnaires: the eating at America's table study. Am J Epidemiol 2001, 154:1089-1099.
35. Subar A.F., Thompson F.E., Potischman N., et al. Formative research of a quick list for an automated self-administered 24-hour dietary recall. J Am Diet Assoc 2007, 107:1002-1007.
36. Subar A.F., Crafts J., Zimmerman T.P., et al. Assessment of the accuracy of portion size reports using computer-based food photographs aids in the development of an automated self-administered 24-hour recall. J Am Diet Assoc 2010, 110:55-64.
37. Paffenbarger R.S., Blair S.N., Lee I.M., et al. Measurement of physical activity to assess health effects in free-living populations. Med Sci Sports Exerc 1993, 25:60-70.
38. Paffenbarger R.S., Wing A.L., Hyde R.T. Physical activity as an index of heart attack risk in college alumni. 1978. Am J Epidemiol 1995, 142:889-903.
39. Armstrong T., Bull F. Development of the World Health Organization Global Physical Activity Questionnaire (GPAQ). J Public Health (Bangkok) 2006, 14:66-70.
40. Bull F.C., Maslin T., Armstrong T. Global Physical Activity Questionnaire (GPAQ): nine country reliability and validity study. J Phys Act Health 2009, 6:790-804.
41. Robinson T.N. Reducing children's television viewing to prevent obesity: a randomized controlled trial. JAMA 1999, 282:1561.
42. Zabinski M.F., Norman G.J., Calfas K.J., et al. Development of adolescent self-report measures for sedentary behavior. Paper presented at the 23rd annual meeting of the Society of Behavioral Medicine 2002.
43. Kaplan R.M., Sieber W.J., Ganiats T.G. The Quality of Well-Being Scale: comparison of the interviewer-administered version with a self-administered questionnaire. Psychol Health 1997, 12:783-791.
44. Seiber W.J., Groessl E.J., David K.M., et al. Quality of Well Being Self-Administered (QWB-SA) scale 2008.
45. Andresen E.M., Malmgren J.A., Carter W.B., et al. Screening for depression in well older adults: evaluation of a short form of the CES-D (Center for Epidemiologic Studies Depression scale). Am J Prev Med 1994, 10:77-84.
46. Patrick K., Raab F., Adams M., et al. A text message-based intervention for weight loss: randomized controlled trial. J Med Internet Res 2009, 11:e1.
47. Bennett G.G., Glasgow R.E. The delivery of public health interventions via the Internet: actualizing their potential. Annu Rev Public Health 2009, 30:273-292.
48. Gonzales A.L., Hancock J.T. Mirror, mirror on my Facebook wall: effects of exposure to Facebook on self-esteem. Cyberpsychol Behav Soc Netw 2011, 14:79-83.
49. Valkenburg P.M., Peter J., Schouten A.P. Friend networking sites and their relationship to adolescents' well-being and social self-esteem. Cyberpsychol Behav 2006, 9:584-590.
50. Valenzuela S., Park N., Kee K. Is there social capital in a social network site?: Facebook use and college students' life satisfaction, trust, and participation. J Comput Commun 2009, 14:875-901.
51. Cavallo D.N., Tate D.F., Ries A.V., et al. A social media-based physical activity intervention: a randomized controlled trial. Am J Prev Med 2012, 43:527-532.
52. Acar A. Antecedents and consequences of online social networking behavior. The case of Facebook. J Website Promot 2008, 3:62-83.