The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Mobile Phone Interventions to Increase Physical Activity and Reduce Weight: A Systematic Review
Open accessAbstract
OBJECTIVE: This systematic review was conducted to determine user satisfaction and effectiveness of smartphone applications and text messaging interventions to promote weight reduction and physical activity. METHODS: Studies of smartphone applications and text messaging interventions related to the cardiovascular risk factors of physical inactivity and overweight/obesity published between January 2005 and August 2010 were eligible. Studies related to disease management were excluded. Study characteristics and results were gathered and synthesized. RESULTS: A total of 36 citations from CINAHL, EMBASE, MEDLINE, PsycINFO, and PubMed were identified; 7 articles were eligible for inclusion. The most frequent outcome measured in the studies was change in the weight of participants (57%). More than half of the studies (71%) reported statistically significant results in at least 1 outcome of weight loss, physical activity, dietary intake, decreased body mass index, decreased waist circumference, sugar-sweetened beverage intake, screen time, and satisfaction or acceptability outcomes. CONCLUSIONS: All of the technology interventions that were supported by education or an additional intervention demonstrated a beneficial impact of text messaging or smartphone application for reduction of physical inactivity and/or overweight/obesity. More rigorous trials that determine what parts of the technology or intervention are effective as well as establishment of cost-effectiveness are necessary for further evaluation of smartphone and text messaging interventions.
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
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 · cited 2×
“Favorable outcomes of face-to-face interventions have been enhanced by the use of the Internet and mobile phones.(2) However, there is limited reported evidence to the benefit of smartphone applications and text messaging programs to enhance behavioral modification related to weight loss and physical activity.”
BackgroundA 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
Weight loss by mobile phone: a 1-year effectiveness study
Haapala, I., Barengo, N. C., Biggs, S., Surakka, L., & Manninen, P. (2009) · Public Health Nutrition · doi:10.1017/s1368980009005230 · Cited by 280
Gerber, B. S., Stolley, M. R., Thompson, A. L., Sharp, L. K., & Fitzgibbon, M. L. (2009) · Health Informatics Journal · doi:10.1177/1460458208099865 · Cited by 216
Shapiro, J. R., Bauer, S., Hamer, R. M., Kordy, H., Ward, D., & Bulik, C. M. (2008) · Journal of Nutrition Education and Behavior · doi:10.1016/j.jneb.2007.09.014 · Cited by 212
Joo, N.-S., & Kim, B.-T. (2007) · Journal of Telemedicine and Telecare · doi:10.1258/135763307783064331 · Cited by 161
Persuasiveness of a Mobile Lifestyle Coaching Application Using Social Facilitation
Gasser, R., Brodbeck, D., Degen, M., Luthiger, J., Wyss, R., & Reichlin, S. (2006) · Lecture notes in computer science · doi:10.1007/11755494_5 · Cited by 134
Peiris, D., Joshi, R., Webster, R. J., Groenestein, P., Usherwood, T. P., Heeley, E. L., Turnbull, F., Lipman, A., & Patel, A. A. (2009) · Journal of Medical Internet Research · doi:10.2196/jmir.1258 · Cited by 121
Evaluation of a mobile phone-based diet game for weight control
Lee, W., Chae, Y. M., Kim, S., Ho, S. H., & Choi, I. (2010) · Journal of Telemedicine and Telecare · doi:10.1258/jtt.2010.090913 · Cited by 92
"Smart" Coaching to Promote Physical Activity, Diet Change, and Cardiovascular Health
Stephens, J. D., Allen, J. K., & Himmelfarb, C. D. (2011) · The Journal of Cardiovascular Nursing · doi:10.1097/jcn.0b013e31821ddd76 · Cited by 27
Self-citation
Cited by
Schoeppe, S., Alley, S., Van Lippevelde, W., Bray, N. A., Williams, S. L., Duncan, M. J., & Vandelanotte, C. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0454-y · Cited by 949
Can Mobile Phone Apps Influence People’s Health Behavior Change? An Evidence Review
Zhao, J., Freeman, B., & Li, M. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.5692 · Cited by 618
“Several reviews have examined the evidence of effectiveness of health-related apps when targeting one specific behavior, such as physical activity, or a specific condition, such as chronic pain [15-19].”
BackgroundCan smartphone apps increase physical activity? Systematic review and meta-analysis
Romeo, A., Edney, S., Plotnikoff, R., Curtis, R., Ryan, J., Sanders, I., Crozier, A., & Maher, C. (2019) · Journal of Medical Internet Research · doi:10.2196/12053 · Cited by 487
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-citationWidmer, R. J., Collins, N. M., Collins, C. S., West, C. P., Lerman, L. O., & Lerman, A. (2015) · Mayo Clinic Proceedings · doi:10.1016/j.mayocp.2014.12.026 · Cited by 416
Metadata
- Authors
- Stephens, J., & Allen, J.
- Venue
- Journal of Cardiovascular Nursing
- Published
- 2013-07
- Volume
- 28
- Issue
- 4
- Pages
- 320-329
- ISSN
- 0889-4655 (ISSN-L)
- OpenAlex
- W2065782155
- Cited by
- 364
- References
- 10
- FWCI
- 61.38
- Type
- journal article
- Language
- en
- Open access
- green
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Mobile Phone Interventions to Increase Physical Activity and Reduce Weight: A Systematic Review. https://app.cochat.ai/papers/10.1097/jcn.0b013e318250a3e7
- The paper
- Stephens, J., & Allen, J. (2013). Mobile Phone Interventions to Increase Physical Activity and Reduce Weight: A Systematic Review. Journal of Cardiovascular Nursing. https://doi.org/10.1097/jcn.0b013e318250a3e7
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.