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Tahmasebi, Raziye, Karandish, Majid, Hadianfard, Ali. (1400). The Effect of Integrating Online Social Networks into Routine Diet Therapy on Session Follow-Up in Overweight and Obese Adults: A Randomized Controlled Trial. سامانه مدیریت نشریات علمی, 8(4), 235-241. doi: 10.30476/jhmi.2022.92757.1100
Raziye Tahmasebi; Majid Karandish; Ali Mohammad Hadianfard. "The Effect of Integrating Online Social Networks into Routine Diet Therapy on Session Follow-Up in Overweight and Obese Adults: A Randomized Controlled Trial". سامانه مدیریت نشریات علمی, 8, 4, 1400, 235-241. doi: 10.30476/jhmi.2022.92757.1100
Tahmasebi, Raziye, Karandish, Majid, Hadianfard, Ali. (1400). 'The Effect of Integrating Online Social Networks into Routine Diet Therapy on Session Follow-Up in Overweight and Obese Adults: A Randomized Controlled Trial', سامانه مدیریت نشریات علمی, 8(4), pp. 235-241. doi: 10.30476/jhmi.2022.92757.1100
Tahmasebi, Raziye, Karandish, Majid, Hadianfard, Ali. The Effect of Integrating Online Social Networks into Routine Diet Therapy on Session Follow-Up in Overweight and Obese Adults: A Randomized Controlled Trial. سامانه مدیریت نشریات علمی, 1400; 8(4): 235-241. doi: 10.30476/jhmi.2022.92757.1100

The Effect of Integrating Online Social Networks into Routine Diet Therapy on Session Follow-Up in Overweight and Obese Adults: A Randomized Controlled Trial

Health Management & Information Science
دوره 8، شماره 4، دی 2021، صفحه 235-241    اصل مقاله (705.41 K)
نوع مقاله: Original Article
شناسه دیجیتال (DOI): 10.30476/jhmi.2022.92757.1100
نویسندگان
Raziye Tahmasebi1؛ Majid Karandish2؛ Ali Mohammad Hadianfard* 2
1Department of Nutrition Sciences, Faculty of Paramedical Sciences, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
2Nutrition and Metabolic Disease Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
چکیده
Introduction: One of the major challenges of weight loss diet therapy is following the counseling sessions until achieving the desired outcome. It has been shown that social support can improve the session attendance and while online social networks are among the cost-effective tools that can provide social support, their effect on follow-up rates has not been examined. The purpose of this study was to examine the effect of using online social networks as a supplementary tool for a weight loss program on the follow-up rate.
Methods: This was a parallel three-armed randomized controlled trial. In this study, 113 overweight and obese females, who attended a clinic to receive the usual care for weight loss, were recruited and randomly assigned to one of three study groups: The Control group which only received the usual care, the Interactive group that joined an online group on the WhatsApp platform, and the Non-interactive group that received daily messages via the WhatsApp platform. Chi-square test was used to test the difference of follow-up rate between the study groups.
Results: After one month, 31.1-35.3% of the participants attended their second session, with Interactive group having the highest rates. After two months, the interactive group had the highest follow-up rate (26.5%) which was significantly higher compared to the control group (8.9%) (P=0.037).
Conclusion: Providing an interactive online community, besides the routine diet therapy, may have a positive effect on the session follow-up rate. However, more studies are needed to investigate this effect in the long term. Trial Registration: The original protocol of this study is registered at the Iranian Registry of Clinical Trials (irct.ir, identifier IRCT20181017041368N1).
کلیدواژه‌ها
Social networks؛ Diet therapy؛ Overweight and Obese؛ Randomized Controlled Trial؛ Session follow-up
مراجع
1. World Health Orgabization [Internet]. Obesity. [cited 4 Sepember 2021]. Available from: https://www.who.int/health-topics/obesity#tab=tab_2.
2. World Health Orgabization [Internet]. Prevalence of overweight among adults [updated 2020]. [cited 25 Sepember 2021]. Available from: https://www.who.int/gho/ncd/risk_factors/overweight/en/.
3. World Health Orgabization [Internet]. Prevalence of obesity among adults. [cited 29 October 2021]. Available from: https://www.who.int/gho/ncd/risk_factors/overweight_obesity/obesity_adults/en/.
4. World Health Orgabization [Internet]. Noncommunicable diseases country profiles 2018. [cited 20 October 2021]. https://apps.who.int/iris/bitstream/handle/10665/274512/9789241514620-eng.pdf
5. Mastellos N, Gunn LH, Felix LM, Car J, Majeed A. Transtheoretical model stages of change for dietary and physical exercise modification in weight loss management for overweight and obese adults. Cochrane Database Syst Rev. 2014(2):CD008066. doi: 10.1002/14651858.CD008066.pub3.
6. Dansinger ML, Gleason JA, Griffith JL, Selker HP, Schaefer EJ. Comparison of the Atkins, Ornish, Weight Watchers, and Zone diets for weight loss and heart disease risk reduction: a randomized trial. JAMA. 2005;293(1):43-53. doi: 10.1001/jama.293.1.43.
7. Esmael KN, Tabesh H, Karandish M. Contributing factors of treatment drop-out in overweight or obese patients in Ahvaz. 2013;4(2):111-20.
8. Inelmen EM, Toffanello ED, Enzi G, Gasparini G, Miotto F, Sergi G, et al. Predictors of dropout in overweight and obese outpatients. Int J Obes (Lond). 2005;29(1):122-8. doi: 10.1038/sj.ijo.0802846.

9. Van Dorsten B, Lindley EM. Cognitive and behavioral approaches in the treatment of obesity. Med Clin North Am. 2011;95(5):971-88. doi: 10.1016/j.mcna.2011.06.008.
10. Rolls BJ, Roe LS, Meengs JS, Wall DE. Increasing the portion size of a sandwich increases energy intake. J Am Diet Assoc. 2004;104(3):367-72. doi: 10.1016/j.jada.2003.12.013.
11. Davis SA. Long-term follow-up of an 8 week weight loss intervention: Impact of psychosocial factors. ProQuest Dissertations Publishing. 2012.
12. Verheijden MW, Bakx JC, van Weel C, Koelen MA, van Staveren WA. Role of social support in lifestyle-focused weight management interventions. Eur J Clin Nutr. 2005;59 Suppl1:S179-86. doi: 10.1038/sj.ejcn.1602194.
13. Hwang KO, Ottenbacher AJ, Green AP, Cannon-Diehl MR, Richardson O, Bernstam EV, et al. Social support in an Internet weight loss community. Int J Med Inform. 2010;79(1):5-13. doi: 10.1016/j.ijmedinf.2009.10.003.
14. Kaplan AM, Haenlein M. Users of the world, unite! The challenges and opportunities of Social Media. Business horizons. 2010;53(1):59-68. doi; 10.1016/j.bushor.2009.09.003.
15. Waring ME, Jake-Schoffman DE, Holovatska MM, Mejia C, Williams JC, Pagoto SL. Social Media and Obesity in Adults: a Review of Recent Research and Future Directions. Curr Diab Rep. 2018;18(6):34. doi: 10.1007/s11892-018-1001-9.
16. An R, Ji M, Zhang S. Effectiveness of Social Media-based Interventions on Weight-related Behaviors and Body Weight Status: Review and Meta-analysis. Am J Health Behav. 2017;41(6):670-82. doi: 10.5993/AJHB.41.6.1.
17. Clement J [Internet]. Social media: global penetration rate 2020, by region. [cited 4 Sepember 2021]. Available from: https://www.statista.com/statistics/269615/social-networkpenetration-by-region/.
18. Global [Internet]. Understanding social media around the world. [cited 18 Sepember 2021]. Available from: https://www.globalwebindex.com/reports/global-social-media.
19. Pappa GL, Cunha TO, Bicalho PV, Ribeiro A, Couto Silva AP, Meira W, Jr., et al. Factors Associated With Weight Change in Online
Weight Management Communities: A Case Study in the LoseIt Reddit Community. J Med Internet Res. 2017;19(1):e17. doi: 10.2196/jmir.5816.

20. Helm J, Jones RM. Practice Paper of the Academy of Nutrition and Dietetics: Social Media and the Dietetics Practitioner: Opportunities, Challenges, and Best Practices. J Acad Nutr Diet. 2016;116(11):1825-35. doi: 10.1016/j.jand.2016.09.003.
21. Prout Parks E, Moore RH, Li Z, Bishop-Gilyard CT, Garrett AR, Hill DL, et al. Assessing the Feasibility of a Social Media to Promote Weight Management Engagement in Adolescents with Severe Obesity: Pilot Study. JMIR Res Protoc. 2018;7(3):e52. doi: 10.2196/resprot.8229.
22. Statistica. [Internet]. Most popular social networks worldwide as of January 2021, ranked by number of active users 2021 [cited 06 Sepember 2021]. Available from: https://www.statista.com/statistics/272014/global-social-networks-rankedby-number-of-users/.
23. Wing RR, Phelan S. Long-term weight loss maintenance. Am J Clin Nutr. 2005;82(1 Suppl):222S-5S. doi: 10.1093/ajcn/82.1.222S.
24. Appel LJ, Clark JM, Yeh HC, Wang NY, Coughlin JW, Daumit G, et al. Comparative effectiveness of weight-loss interventions in clinical practice. N Engl J Med. 2011;365(21):1959-68. doi: 10.1056/NEJMoa1108660.
25. Chao D, Farmer DF, Sevick MA, Espeland MA, Vitolins M, Naughton MJ. The value of session attendance in a weight-loss intervention. American Journal of Health Behavior. 2000;24(6):413-21. doi: 10.5993/AJHB.24.6.2.
26. Byrne S, Barry D, Petry NM. Predictors of weight loss success. Exercise vs. dietary self-efficacy and treatment attendance. Appetite. 2012;58(2):695-8. doi: 10.1016/j.appet.2012.01.005.
27. Dumas AA, Lemieux S, Lapointe A, Provencher V, Robitaille J, Desroches S. Effects of an Evidence-Informed Healthy Eating Blog on Dietary Intakes and Food-Related Behaviors of Mothers of Preschool- and School-Aged Children: A Randomized Controlled Trial. J Acad Nutr Diet. 2020;120(1):53-68. doi: 10.1016/j.jand.2019.05.016.
28. Pieroth R, Rigassio Radler D, Guenther PM, Brewster PJ, Marcus A. The Relationship between Social Support and Diet Quality in Middle-Aged and Older Adults in the United States. J Acad Nutr Diet. 2017;117(8):1272-8. doi: 10.1016/j.jand.2017.03.018.
29. Jane M, Hagger M, Foster J, Ho S, Pal S. Social media for health promotion and weight management: a critical debate. BMC Public Health. 2018;18(1):932. doi: 10.1186/s12889-018-5837-3.

30. Peregrin T. Best Practices for Growing and Managing Online Communities. J Acad Nutr Diet. 2016;116(9):1383-5. doi: 10.1016/j.jand.2015.10.015.
31. Pagoto S, Schneider KL, Evans M, Waring ME, Appelhans B, Busch AM, et al. Tweeting it off: characteristics of adults who tweet about a weight loss attempt. J Am Med Inform Assoc. 2014;21(6):1032-7. doi: 10.1136/amiajnl-2014-002652.
32. Evans M, Donelle L, Hume-Loveland L. Social support and online postpartum depression discussion groups: a content analysis. Patient Educ Couns. 2012;87(3):405-10. doi: 10.1016/j.pec.2011.09.011.
33. Molloy GJ, Perkins-Porras L, Bhattacharyya MR, Strike PC, Steptoe A. Practical support predicts medication adherence and attendance at cardiac rehabilitation following acute coronary syndrome. J Psychosom Res. 2008;65(6):581-6. doi: 10.1016/j.jpsychores.2008.07.002.
34. Lefforge NL, Donohue B, Strada MJ. Improving session attendance in mental health and substance abuse settings: a review of controlled studies. Behav Ther. 2007;38(1):1-22. doi: 10.1016/j.beth.2006.02.009.

35. Lee CS, McCormick PA. Telephone reminders to reduce non-attendance rate for endoscopy. J R Soc Med. 2003;96(11):547-8. doi: 10.1258/jrsm.96.11.547.
36. Branson CE, Clemmey P, Mukherjee P. Text message reminders to improve outpatient therapy attendance among adolescents: a pilot study. Psychol Serv. 2013;10(3):298-303. doi: 10.1037/a0026693.
37. Ashrafian H, Toma T, Harling L, Kerr K, Athanasiou T, Darzi A. Social networking strategies that aim to reduce obesity have achieved significant although modest results. Health Aff (Millwood). 2014;33(9):1641-7. doi: 10.1377/hlthaff.2014.0370.
38. Mita G, Ni Mhurchu C, Jull A. Effectiveness of social media in reducing risk factors for noncommunicable diseases: a systematic review and meta-analysis of randomized controlled trials. Nutr Rev. 2016;74(4):237-47. doi: 10.1093/nutrit/nuv106.

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