The DOI matches its Crossref record; 29 of the 32 references it cites were found in a registry or an index.
Short message service (SMS) text messaging as an intervention medium for weight loss: A literature review
Open accessAbstract
Nearly 68% of American adults are obese or overweight. Mobile devices such as mobile phones have emerged as a mode of intervention delivery to help people improve their health, particularly in relation to weight loss. This literature review examines the relationship between the use of short message service (SMS) text messaging as an intervention medium and weight loss. Results from this literature review (n = 14) suggest that SMS as an intervention tool for weight loss is still in its infancy. Initial results are promising but continued investigation is needed. We offer several recommendations for future research.
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“Up till now, to the best of our knowledge, text messaging is mostly used as a reminder, self-monitoring tool, or as an adjunct to face-to-face intervention instead of being utilized as the core treatment modality, except in a few physical health intervention studies [29,34-38].”
From Delivering Mindfulness-Based Interventions for Insomnia, Pain, and Dysfunctional Eating Through a Text Messaging App: Three Randomized Controlled Trials Investigating the Effectiveness and Mediating Mechanisms. (2022) · cites this paper as [34]
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“Furthermore, the addition of Short Message Service (SMS) may aid in the effectiveness of lifestyle interventions, as has been shown in the general population, although results are inconclusive (de Niet et al., 2012;Shaw and Bosworth, 2012;Okorodudu et al., 2015;Zwickert et al., 2016).”
From Improvements in PCOS characteristics and phenotype severity during a randomized controlled lifestyle intervention (2021) · cites this paper as Shaw and Bosworth, 2012
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Franz, M. J., VanWormer, J. J., Crain, A. L., Boucher, J. L., Histon, T., Caplan, W., Bowman, J. D., & Pronk, N. P. (2007) · Journal of the American Dietetic Association · doi:10.1016/j.jada.2007.07.017 · Cited by 1,559
Association between obesity and psychiatric disorders in the US adult population
Simon, G. E., Von Korff, M., Saunders, K., Miglioretti, D. L., Crane, P. K., van Belle, G., & Kessler, R. C. (2006) · Archives of General Psychiatry · doi:10.1001/archpsyc.63.7.824 · Cited by 1,338
The mobile connection: the cell phone's impact on society
(2004) · Choice Reviews Online · doi:10.5860/choice.42-1907 · Cited by 1,311
(1998) · PubMed · Cited by 1,259
Behavior change interventions delivered by mobile telephone short message service
Fjeldsoe, B. S., Marshall, A. L., & Miller, Y. D. (2009) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2008.09.040 · Cited by 1,213
Text messaging as a tool for behavior change in disease prevention and management
Cole-Lewis, H., & Kershaw, T. (2010) · Epidemiologic Reviews · doi:10.1093/epirev/mxq004 · Cited by 1,190
Healthcare via Cell Phones: A Systematic Review
Krishna, S., Boren, S. A., & Balas, E. A. (2009) · Telemedicine and e-Health · doi:10.1089/tmj.2008.0099 · Cited by 882
A Text Message–Based Intervention for Weight Loss: Randomized Controlled Trial
Patrick, K., Raab, F., Adams, M. A., Dillon, L., Zabinski, M., Rock, C. L., Griswold, W. G., & Norman, G. J. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1100 · Cited by 671
Research works printed but not linked: 4
- CTIA Wireless Association, 2009, CTIA Semi-Annual Wireless Industry Survey
- Atun R, 2006, A Review of the Characteristics and Benefits of SMS in Delivering Healthcare. The Role of Mobile Phones in Increasing Accessibility and Efficiency in Healthcare Report
- Bandura A, 1986, Social Foundations of Thought and Action: A Social Cognitive Theory
- McGraa KL, 2010, The Effects of Persuasive Motivational Text Messaging on Adherence to Diet and Exercise Programs Across Different Personality Traits
Cited by
Sorted by citations
Items 101–131 of 131
Zhou, X., Bambling, M., & Edirippulige, S. (2021) · Journal of Health Research · doi:10.1108/jhr-03-2021-0179 · Cited by 4
Şahin, Ç. Ç., Courtney, K. L., Naylor, P., & Rhodes, R. E. (2020) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-020-00168-1 · Cited by 4
Almisad, B. (2015) · Research Online (University of Wollongong) · Cited by 4
Haghparast‐Bidgoli, H., Shaha, S. K., Kuddus, A., Chowdhury, M. A. R., Jennings, H. M., Ahmed, N., Morrison, J., Akter, K., Nahar, B., Nahar, T., et al. (2018) · BMJ Open · doi:10.1136/bmjopen-2018-022035 · Cited by 3
Mbada, C., Akinola, O. T., Olumomi, G., Idowu, O. A., Akinwande, O., Fatoye, C., Borode, A. O., Awotidebe, T., Awotipe, A., Adamolekun, O., et al. (2018) · Nigerian Journal of Health Sciences · doi:10.4103/njhs.njhs_16_19 · Cited by 3
A Mobile Health Intervention to Sustain Recent Weight loss
Shaw, R. J. (2012) · DukeSpace (Duke University) · Cited by 3
Self-citationStute, P., Pavicic, E., Armeni, E., Boban, J., Ceauşu, I., Erel, C. T., Hillard, T., Kiesel, L., Simoncini, T., Smetnik, A., et al. (2026) · Maturitas · doi:10.1016/j.maturitas.2026.109060 · Cited by 2
Can Text Messages Make People Kinder?
Konrath, S. (2015) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780190204600.003.0020 · Cited by 2
Associations Between Heart Rate Variability and Metabolic Syndrome Risk Factors
Stuckey, M. I. (2013) · Scholarship@Western (Western University) · Cited by 2
African American Digital Practices: Mobile E-Health and Residential Segregation
Graham, R. S., & Smith, ‘. K. (2017) · Sociological Focus · doi:10.1080/00380237.2018.1382291 · Cited by 2
Chronic Disease Self-Management
Tapp, H., Dulin, M., & Plescia, M. (2018) · Springer eBooks · doi:10.1007/978-3-319-71812-5_3 · Cited by 2
Chan, R., Nguyen, M., Smith, R. L., Spencer, S., & Pit, S. (2019) · JMIR mhealth and uhealth · doi:10.2196/11832 · Cited by 2
Bozung, T. (2015) · Journal of Bioresource Management · Cited by 1
Pawiro, M. A. (2021) · KnE Social Sciences · doi:10.18502/kss.v5i4.8671 · Cited by 1
Wang, M., Wang, C., & Peng, X. (2022) · Frontiers in Sociology · doi:10.3389/fsoc.2022.1053970 · Cited by 1
Novel multi-method approach investigating behaviour change maintenance
Kwaśnicka, D. (2015) · Cited by 1
PCOS lifestyle program v1Preprint
Jiskoot, G., Laven, J. S. E., Busschbach, J. J. V., de Klerk, C., & de Niet, J. E. (2020) · doi:10.17504/protocols.io.bfq9jmz6
Spark, L. C. (2015) · The University of Queensland · doi:10.14264/uql.2015.641
Texting: Its Uses, Misuses, and Effects
Pascual‐Ferrá, P. (2015) · IGI Global eBooks · doi:10.4018/978-1-4666-8239-9.ch099
Identifying and Reducing Risk of the Female Athlete Triad in Division I Athletes
Day, J. (2021) · Digital Commons - USU (Utah State University) · doi:10.26076/5fb8-fbe2
Paul, D. P., Gochipathala, K., Coustasse, A., Wodajo, B., & Bhardwaj, N. N. (2016)
Promoting Weight Management Using Technology
Bushman, B. A. (2015) · ACSMʼs Health & Fitness Journal · doi:10.1249/fit.0000000000000142
The efficacy of eHealth interventions in weight management: a systematic review
Spînu, R.-M. (2018) · Studia Doctoralia · doi:10.47040/sd/sdpsych.v9i1.58
Intervenții în managementul greutății
Spînu, R.-M. (2017) · doi:10.47040/sd/sdpsych.v8i1-2.73
Guzmán, B. C. N. (2016) · Revista de Trabajo Social · doi:10.7764/rts.89.55-68
Şahin, Ç. Ç., Courtney, K. L., Naylor, P., & Rhodes, R. E. (2022) · Journal of Technology in Behavioral Science · doi:10.1007/s41347-022-00250-w
Automatic Warning System for Weather Station Power Supply
Fairuzen, M., Rusdinar, A., Suratman, F. Y., & Darlis, D. (2021) · Ultima Computing Jurnal Sistem Komputer · doi:10.31937/sk.v13i2.2261
Intervenții în managementul greutății
Spînu, R.-M. (2017) · doi:10.47040/sd0000048
Gallagher, D., Spyreli, E., Calder-MacPhee, N., Crossley, K. L., Feuillâtre, C., Ivory, A., Karatas, B., Kelly, C. B., Lind, M., Osei-Asemani, E., et al. (2026) · medRxiv · doi:10.64898/2026.03.05.26347713
Moriishi, C., Oba, T., Takano, K., Katahira, K., & Kimura, K. (2026) · JMIR Human Factors · doi:10.2196/91917
Metadata
- Authors
- Shaw, R., & Bosworth, H.
- Affiliations
- Duke University (US)
- Venue
- Health Informatics Journal
- Publisher
- SAGE Publications
- Published
- 2012-12
- Volume
- 18
- Issue
- 4
- Pages
- 235-250
- ISSN
- 1355-4743 (ISSN-L)
- 1460-4582
- 1741-2811
- PMC
- PMC3675895
- OpenAlex
- W2107746616
- Cited by
- 131
- References
- 32
- Citations by year
- 2026: 3 · 2025: 1 · 2024: 2 · 2023: 2 · 2022: 6 · 2021: 13 · 2020: 13 · 2019: 8 · 2018: 10 · 2017: 11 · 2016: 10 · 2015: 30 · 2014: 12 · 2013: 9 · 2012: 1
- FWCI
- 2.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Health Informatics Journal (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (1f31nr012599-01)
- National Institute of Nursing Research (1F31 NR012599, F31 NR012599)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity and Health Practices
- Keywords
- short message service, text messaging, weight loss, obesity, overweight, mobile health, weight loss interventions, intervention delivery
- MeSH terms
- Adult, Female, Health Promotion, Humans, Technology Assessment, Biomedical, Program Evaluation, Weight Loss, Telemedicine, Cell Phone, Text Messaging
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