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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]
Experimental — accuracy not yet measuredIn the citing paper
“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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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
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.
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