The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Using facebook and text messaging to deliver a weight loss program to college students
Abstract
Objective: Between 31 and 35% of the college‐aged population is overweight or obese, yet few weight loss trials for this population have been conducted. This study examined the feasibility, acceptability, and initial efficacy of a technology‐based 8‐week weight loss intervention among college students. Design and Methods: Students (N= 52) were randomly assigned to one of the three arms: Facebook (n= 17); Facebook Plus text messaging and personalized feedback (n= 18); Waiting List control (n= 17), with assessments at 4 weeks and 8 weeks (post‐treatment). Participants were 20.47 ± 2.19 years old, 86.45 ± 17.11 kg, with a body mass index of 31.36 ± 5.3 kg/m 2. Participants were primarily female (86.5%), and the sample was racially diverse (57.7% Caucasian, 30.8% African American, 5.8% Hispanic, and 5.7% other races). Results: The primary outcome was weight loss after 8 weeks (post‐treatment); 96.0% of the participants completed this assessment. At 8 weeks, the Facebook Plus group had significantly greater weight loss (−2.4 ± 2.5 kg) than the Facebook (−0.63 ± 2.4 kg) and Waiting List (−0.24 ± 2.6 kg) (both P s < 0.05). Weight change at 8 weeks was not significantly different between the Facebook and Waiting List groups. Conclusions: Results show preliminary efficacy and acceptability of the two active intervention arms (97.0% found the program helpful, 81.3% found the videos/handouts helpful, and 100% would recommend the program to others). Results indicate the potential for an innovative weight loss intervention that uses technology platforms (Facebook and text messaging) that are frequently used and already integrated into the cultural life of college students.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Evaluating the public health impact of health promotion interventions: the RE-AIM framework.
Glasgow, R. E., Vogt, T. M., & Boles, S. M. (1999) · American Journal of Public Health · doi:10.2105/ajph.89.9.1322 · Cited by 7,217
The Spread of Obesity in a Large Social Network over 32 Years
Christakis, N. A., & Fowler, J. H. (2007) · New England Journal of Medicine · doi:10.1056/nejmsa066082 · Cited by 5,007
DONNELLY, J. E., BLAIR, S. N., JAKICIC, J. M., MANORE, M. M., RANKIN, J. W., & SMITH, B. K. (2009) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0b013e3181949333 · Cited by 2,658
The development of scales to measure social support for diet and exercise behaviors
Sallis, J. F., Grossman, R. M., Pinski, R. B., Patterson, T. L., & Nader, P. R. (1987) · Preventive Medicine · doi:10.1016/0091-7435(87)90022-3 · Cited by 1,534
Social Integration, Social Networks, Social Support, and Health
Berkman, L. F., & Glass, T. (2000) · Social Epidemiology · doi:10.1093/oso/9780195083316.003.0007 · Cited by 1,513
Emerging adulthood and college-aged youth: An overlooked age for weight-related behavior change
Nelson, M. C., Story, M., Larson, N. I., Neumark‐Sztainer, D., & Lytle, L. A. (2008) · Obesity · doi:10.1038/oby.2008.365 · Cited by 1,314
US Department of Health & Human Services; Public Health Service; Office of Surgeon General (2001) · PsycEXTRA Dataset · doi:10.1037/e301232004-001 · Cited by 1,001
The Look AHEAD Study: A Description of the Lifestyle Intervention and the Evidence Supporting It
The Look AHEAD Research Group (2006) · Obesity · doi:10.1038/oby.2006.84 · Cited by 873
Foster, G. D., Wyatt, H. R., Hill, J. O., Makris, A. P., Rosenbaum, D. L., Brill, C., Stein, R. I., Mohammed, B. S., Miller, B., Rader, D. J., et al. (2010) · Annals of Internal Medicine · doi:10.7326/0003-4819-153-3-201008030-00005 · Cited by 520
Self-citation
Research works printed but not linked: 24
- 10.1016/j.ypmed.2008.12.009 · DOI
- 10.1111/j.1753-4887.2008.00143.x · DOI · Paper page
- 10.1016/j.jneb.2007.01.001 · DOI · Paper page
- 10.1016/j.eatbeh.2009.08.005 · DOI
- 10.3200/JACH.56.5.469-480 · DOI
- Sparling PB, 2007, Obesity on campus, Prev Chronic Dis, 4, A72
- 10.1016/j.eatbeh.2005.01.003 · DOI
- AlemanAM WartmanKL.Online social networking on campus: Understanding what matters in student culture. Taylor & Francis: New York 2009.
- 10.1016/j.jhealeco.2008.04.005 · DOI · Paper page
- MadanA MoturuST LazerD PentlandA.Social sensing: obesity unhealthy eating and exercise in face‐to‐face networks. In:Proceedings of Wireless Health 2010. ACM: San Diego 2010 p104‐110. · DOI
- 10.1016/j.socnet.2009.09.001 · DOI
- 10.1038/oby.2010.301 · DOI
- 10.1080/15252019.2011.10722191 · DOI
- 10.1249/00005768-198205000-00012 · DOI · Paper page
- Godin G, 1985, A simple method to assess exercise behavior in the community, Can J Appl Sport Sci, 10, 141
- 10.3200/JACH.53.6.285-290 · DOI
- 10.1207/S15324796ABM2402_12 · DOI · Paper page
- 10.1080/02701367.1992.10607557 · DOI · Paper page
- 10.1037/0022-006X.59.5.739 · DOI · Paper page
- 10.1038/oby.2011.293 · DOI
- 10.2196/jmir.1100 · DOI · Paper page
- 10.1016/j.appet.2011.01.014 · DOI
- 10.1080/10447318.2011.555311 · DOI
- 10.1007/BF02895291 · DOI · Paper page
Cited by
The future of mental health care: peer-to-peer support and social media
Naslund, J. A., Aschbrenner, K. A., Marsch, L. A., & Bartels, S. J. (2016) · Epidemiology and Psychiatric Sciences · doi:10.1017/s2045796015001067 · Cited by 1,180
Maher, C. A., Lewis, L. K., Ferrar, K., Marshall, S., De Bourdeaudhuij, I., & Vandelanotte, C. (2014) · Journal of Medical Internet Research · doi:10.2196/jmir.2952 · Cited by 733
Laranjo, L., Arguel, A., Neves, A. L., Gallagher, A. M., Kaplan, R., Mortimer, N., Mendes, G. A., & Lau, A. Y. S. (2015) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002841 · Cited by 661
Health Literacy and Use and Trust in Health Information.
Chen, X., Hay, J. L., Waters, E. A., Kiviniemi, M. T., Biddle, C., Schofield, E., Li, Y., Kaphingst, K., & Orom, H. (2018) · Journal of Health Communication · doi:10.1080/10810730.2018.1511658 · Cited by 548
Burke, L. E., Ma, J., Azar, K. M. J., Bennett, G. G., Peterson, E. D., Zheng, Y., Riley, W., Stephens, J., Shah, S. H., Suffoletto, B., et al. (2015) · Circulation · doi:10.1161/cir.0000000000000232 · Cited by 516
Self-citationHutchesson, M. J., Rollo, M. E., Krukowski, R., Ells, L., Harvey, J., Morgan, P. J., Callister, R., Plotnikoff, R., & Collins, C. E. (2015) · Obesity Reviews · doi:10.1111/obr.12268 · Cited by 380
Dangers and Opportunities for Social Media in Medicine
GEORGE, D. R., ROVNIAK, L. S., & KRASCHNEWSKI, J. L. (2013) · Clinical Obstetrics & Gynecology · doi:10.1097/grf.0b013e318297dc38 · Cited by 352
Wang, J. B., Cadmus-Bertram, L. A., Natarajan, L., White, M. M., Madanat, H., Nichols, J. F., Ayala, G. X., & Pierce, J. P. (2015) · Telemedicine and e-Health · doi:10.1089/tmj.2014.0176 · Cited by 308
Preventive Health Behavior Change Text Message Interventions: A Meta-analysis
Armanasco, A. A., Miller, Y. D., Fjeldsoe, B. S., & Marshall, A. L. (2017) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2016.10.042 · Cited by 210
A systematic review of tailored eHealth interventions for weight loss
Ryan, K., Dockray, S., & Linehan, C. (2019) · DIGITAL HEALTH · doi:10.1177/2055207619826685 · Cited by 183
Van Rhoon, L., Byrne, M., Morrissey, E., Murphy, J., & McSharry, J. (2020) · DIGITAL HEALTH · doi:10.1177/2055207620914427 · Cited by 182
Maher, C., Ferguson, M., Vandelanotte, C., Plotnikoff, R., De Bourdeaudhuij, I., Thomas, S., Nelson-Field, K., & Olds, T. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4086 · Cited by 171
“In most cases, the online social network intervention has been provided as a component, complementing a more comprehensive intervention package, for example, involving access to a physical activity self-monitoring website with personalized feedback from a health professional [16]; provision of pedometer, digital scale…”
Santarossa, S., Kane, D., Senn, C. Y., & Woodruff, S. J. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8480 · Cited by 172
Zhang, J., Brackbill, D., Yang, S., Becker, J., Herbert, N., & Centola, D. (2016) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.08.008 · Cited by 170
Intensive lifestyle intervention for obesity: principles, practices, and results.
Webb, V. L., & Wadden, T. A. (2017) · Gastroenterology · doi:10.1053/j.gastro.2017.01.045 · Cited by 167
Oosterveen, E., Tzelepis, F., Ashton, L., & Hutchesson, M. J. (2017) · Preventive Medicine · doi:10.1016/j.ypmed.2017.01.009 · Cited by 156
A systematic review and meta-analysis of interventions for weight management using text messaging
Siopis, G., Chey, T., & Allman‐Farinelli, M. (2015) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12207 · Cited by 155
Abaza, H., & Marschollek, M. (2017) · Methods of Information in Medicine · doi:10.3414/me17-05-0003 · Cited by 138
Palmer, M., Sutherland, J., Barnard, S., Wynne, A., Rezel, E., Doel, A., Grigsby-Duffy, L., Edwards, S., Russell, S., Hotopf, E., et al. (2018) · PLOS ONE · doi:10.1371/journal.pone.0189801 · Cited by 136
Adapting behavioral interventions for social media delivery
Pagoto, S., Waring, M. E., May, C. N., Ding, E. Y., Kunz, W. H., Hayes, R., & Oleski, J. L. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5086 · Cited by 134
Using a Smartphone Application to Promote Healthy Dietary Behaviours and Local Food Consumption
Gilliland, J., Sadler, R., Clark, A., O’Connor, C., Milczarek, M., & Doherty, S. (2015) · BioMed Research International · doi:10.1155/2015/841368 · Cited by 112
Zhang, J., Brackbill, D., Yang, S., & Centola, D. (2015) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2015.08.005 · Cited by 117
Wong, C. A., Madanay, F., Ozer, E. M., Harris, S. K., Moore, M., Master, S. O., Moreno, M., & Weitzman, E. R. (2020) · Journal of Adolescent Health · doi:10.1016/j.jadohealth.2019.10.018 · Cited by 111
Yang, Q. (2017) · Journal of Health Communication · doi:10.1080/10810730.2016.1271065 · Cited by 92
A Review of Technology-Assisted Interventions for Diabetes Prevention
Grock, S., Ku, J.-H., Kim, J., & Moin, T. (2017) · Current Diabetes Reports · doi:10.1007/s11892-017-0948-2 · Cited by 91
Digital social networks and health
Lefebvre, R. C., & Bornkessel, A. S. (2013) · Circulation · doi:10.1161/circulationaha.112.000897 · Cited by 90
Okorodudu, D. E., Bosworth, H. B., & Corsino, L. (2015) · Annals of Medicine · doi:10.3109/07853890.2014.931102 · Cited by 75
Participation of African Americans in e-Health and m-Health Studies: A Systematic Review
James, D. C., Harville, C., Sears, C., Efunbumi, O., & Bondoc, I. (2017) · Telemedicine and e-Health · doi:10.1089/tmj.2016.0067 · Cited by 78
Effects of a sleep hygiene text message intervention on sleep in college students
Gipson, C. S., Chilton, J. M., Dickerson, S. S., Alfred, D., & Haas, B. K. (2019) · Journal of American College Health · doi:10.1080/07448481.2018.1462816 · Cited by 50
Turner-McGrievy, G. M., Yang, C.-H., Monroe, C., Pellegrini, C., & West, D. S. (2021) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-021-00203-9 · Cited by 22
Sanci, L., Kauer, S., Thuraisingam, S., Davidson, S., Duncan, A.-M., Chondros, P., Mihalopoulos, C., & Buhagiar, K. (2019) · JMIR Mental Health · doi:10.2196/13189 · Cited by 19
Ramalho, S., Saint-Maurice, P. F., Silva, D., Mansilha, H. F., Silva, C., Gonçalves, S., Machado, P., & Conceição, E. (2020) · Eating and Weight Disorders - Studies on Anorexia Bulimia and Obesity · doi:10.1007/s40519-018-0623-x · Cited by 8
Metadata
- Authors
- Napolitano, M. A., Hayes, S., Bennett, G. G., Ives, A. K., & Foster, G. D.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2013-01
- Volume
- 21
- Issue
- 1
- Pages
- 25-31
- ISSN
- 1930-7381 (ISSN-L)
- 1930-739X
- OpenAlex
- W2067588975
- Cited by
- 373
- References
- 10
- FWCI
- 76.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.