Mobile Phone Apps to Promote Weight Loss and Increase Physical Activity: A Systematic Review and Meta-Analysis
Open accessAbstract
BACKGROUND: To our knowledge, no meta-analysis to date has assessed the efficacy of mobile phone apps to promote weight loss and increase physical activity. OBJECTIVE: To perform a systematic review and meta-analysis of studies to compare the efficacy of mobile phone apps compared with other approaches to promote weight loss and increase physical activity. METHODS: We conducted a systematic review and meta-analysis of relevant studies identified by a search of PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL), and Scopus from their inception through to August 2015. Two members of the study team (EG-F, GF-M) independently screened studies for inclusion criteria and extracted data. We included all controlled studies that assessed a mobile phone app intervention with weight-related health measures (ie, body weight, body mass index, or waist circumference) or physical activity outcomes. Net change estimates comparing the intervention group with the control group were pooled across studies using random-effects models. RESULTS: We included 12 articles in this systematic review and meta-analysis. Compared with the control group, use of a mobile phone app was associated with significant changes in body weight (kg) and body mass index (kg/m(2)) of -1.04 kg (95% CI -1.75 to -0.34; I2 = 41%) and -0.43 kg/m(2) (95% CI -0.74 to -0.13; I2 = 50%), respectively. Moreover, a nonsignificant difference in physical activity was observed between the two groups (standardized mean difference 0.40, 95% CI -0.07 to 0.87; I2 = 93%). These findings were remarkably robust in the sensitivity analysis. No publication bias was shown. CONCLUSIONS: Evidence from this study shows that mobile phone app-based interventions may be useful tools for weight loss.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Several meta-analyses found that digital health interventions' effects on physical activity were not statistically significant.
“Yet several meta-analyses found these effects were not statistically significant (23, 24).”
A systematic review and meta-analysis demonstrated reductions in BMI of 0.43 kg/m2 (95% CI −0.74 to −0.13) with mobile apps to improve weight loss and physical activity outcomes.
“A systematic review and meta-analysis of published studies investigating the effect of mobile apps to improve weight loss and physical activity outcomes demonstrated reductions in BMI of 0.43 kg/m2 (95% CI −0.74 to −0.13) with much greater weight loss seen when the devices were used optimally.”
From What is the clinical value of mHealth for patients? (2020) · cites this paper as [10]
Digital technology-based programs have resulted in increased physical activity and reduced body weight, at least for a short duration.
“Several systematic reviews and meta-analyses [15–19] have shown that these digital technology-based programs resulted in increased PA and reduced body weight, at least for a short duration.”
From A systematic review of artificial intelligence chatbots for promoting physical activity, healthy diet, and weight loss (2021) · cites this paper as [15]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763 · see citing works
The Cochrane Collaboration's tool for assessing risk of bias in randomised trials
Higgins, J. P. T., Altman, D. G., Gotzsche, P. C., Juni, P., Moher, D., Oxman, A. D., Savovic, J., Schulz, K. F., Weeks, L., Sterne, J. A. C., et al. (2011) · BMJ · doi:10.1136/bmj.d5928 · Cited by 33,817 · see citing works
Dermyshi, E., Wang, Y., Yan, C., Hong, W., Qiu, G., Gong, X., & Zhang, T. (2017) · Neonatology · doi:10.1159/000454668 · Cited by 24,577 · see citing works
The global obesity pandemic: shaped by global drivers and local environments
Swinburn, B. A., Sacks, G., Hall, K. D., McPherson, K., Finegood, D. T., Moodie, M. L., & Gortmaker, S. L. (2011) · The Lancet · doi:10.1016/s0140-6736(11)60813-1 · Cited by 4,888 · see citing works
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., Patel, V., & Haines, A. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001362 · Cited by 1,766 · see citing works
Randomized Trial of Lifestyle Modification and Pharmacotherapy for Obesity
Wadden, T. A., Berkowitz, R. I., Womble, L. G., Sarwer, D. B., Phelan, S., Cato, R. K., Hesson, L. A., Osei, S. Y., Kaplan, R., & Stunkard, A. J. (2005) · New England Journal of Medicine · doi:10.1056/nejmoa050156 · Cited by 794 · see citing works
Carter, M. C., Burley, V. J., Nykjaer, C., & Cade, J. E. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2283 · Cited by 666 · see citing works
Predictors of dropout in weight loss interventions: a systematic review of the literature
Moroshko, I., Brennan, L., & O'Brien, P. (2011) · Obesity Reviews · doi:10.1111/j.1467-789x.2011.00915.x · Cited by 497 · see citing works
The definition of weight maintenance
Stevens, J., Truesdale, K. P., McClain, J. E., & Cai, J. (2005) · International Journal of Obesity · doi:10.1038/sj.ijo.0803175 · Cited by 462 · see citing works
Reporting methods of blinding in randomized trials assessing nonpharmacological treatments
Boutron, I., Guittet, L., Estellat, C., Moher, D., Hróbjartsson, A., & Ravaud, P. (2007) · PLoS Medicine · doi:10.1371/journal.pmed.0040061 · Cited by 389 · see citing works
Turner-McGrievy, G. M., Beets, M. W., Moore, J. B., Kaczynski, A. T., Barr-Anderson, D. J., & Tate, D. F. (2013) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2012-001510 · Cited by 373 · see citing works
Laing, B. Y., Mangione, C. M., Tseng, C.-H., Leng, M., Vaisberg, E., Mahida, M., Bholat, M., Glazier, E., Morisky, D. E., & Bell, D. S. (2014) · Annals of Internal Medicine · doi:10.7326/m13-3005 · Cited by 353 · see citing works
Kirwan, M., Vandelanotte, C., Fenning, A., & Duncan, M. J. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.2588 · Cited by 343 · see citing works
Mobile Applications for Weight Management
Azar, K. M. J., Lesser, L. I., Laing, B. Y., Stephens, J., Aurora, M. S., Burke, L. E., & Palaniappan, L. P. (2013) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2013.07.005 · Cited by 334 · see citing works
Smart-Phone Obesity Prevention Trial for Adolescent Boys in Low-Income Communities: The ATLAS RCT
Smith, J. J., Morgan, P. J., Plotnikoff, R. C., Dally, K. A., Salmon, J., Okely, A. D., Finn, T. L., & Lubans, D. R. (2014) · Pediatrics · doi:10.1542/peds.2014-1012 · Cited by 302 · see citing works
Glynn, L. G., Hayes, P. S., Casey, M., Glynn, F., Alvarez‐Iglesias, A., Newell, J., OLaighin, G. M., Heaney, D., O'Donnell, M. J., & Murphy, A. W. (2014) · British Journal of General Practice · doi:10.3399/bjgp14x680461 · Cited by 280 · see citing works
Turner-McGrievy, G., & Tate, D. (2011) · Journal of Medical Internet Research · doi:10.2196/jmir.1841 · Cited by 263 · see citing works
Pal, K., Eastwood, S. V., Michie, S., Farmer, A. A., Barnard, M., Peacock, R., Wood, B., Edwards, P. J., & Murray, E. (2014) · Diabetes Care · doi:10.2337/dc13-1386 · Cited by 227 · see citing works
Randomized Controlled Pilot Study Testing Use of Smartphone Technology for Obesity Treatment
Allen, J. K., Stephens, J. D., Himmelfarb, C. D., Stewart, K. J., & Hauck, S. (2013) · Journal of Obesity · doi:10.1155/2013/151597 · Cited by 214 · see citing works
The use of mobile apps to improve nutrition outcomes: A systematic literature review
DiFilippo, K. N., Huang, W. D., Andrade, J. E., & Chapman‐Novakofski, K. (2015) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x15572203 · Cited by 210 · see citing works
Individual- Versus Group-Based Financial Incentives for Weight Loss
Kullgren, J. T., Troxel, A. B., Loewenstein, G. F., Asch, D. A., Norton, L. A., Wesby, L., Tao, Y., Zhu, J., & Volpp, K. G. M. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-7-201304020-00002 · Cited by 204 · see citing works
Hebden, L., Cook, A. S., van der Ploeg, H. P., King, L., Bauman, A. E., & Allman-Farinelli, M. A. (2013) · Journal of Human Nutrition and Dietetics · doi:10.1111/jhn.12155 · Cited by 191 · see citing works
Kirwan, M., Duncan, M. J., Vandelanotte, C., & Mummery, W. K. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.1950 · Cited by 189 · see citing works
A mobile telephone-based interactive self-care system improves asthma control
Liu, W.-T., Huang, C.-D., Wang, C.-H., Lee, K.-Y., Lin, S.-M., & Kuo, H.-P. (2011) · European Respiratory Journal · doi:10.1183/09031936.00000810 · Cited by 171 · see citing works
Bacigalupo, R., Cudd, P., Littlewood, C., Bissell, P., Hawley, M., & Woods, H. B. (2012) · Obesity Reviews · doi:10.1111/obr.12006 · Cited by 150 · see citing works
Partridge, S. R., McGeechan, K., Hebden, L., Balestracci, K., Wong, A. T. Y., Denney‐Wilson, E., Harris, M., Phongsavan, P., Bauman, A. E., & Allman-Farinelli, M. A. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.4530 · Cited by 147 · see citing works
Garnett, C. V., Crane, D., West, R., Brown, J., & Michie, S. (2015) · JMIR mhealth and uhealth · doi:10.2196/mhealth.3895 · Cited by 120 · see citing works
Liu, F., Kong, X., Cao, J., Chen, S., Li, C., Huang, J., Gu, D., & Kelly, T. N. (2015) · American Journal of Epidemiology · doi:10.1093/aje/kwu260 · Cited by 101 · see citing works
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 · see citing works
Thiessen‐Philbrook, H., Barrowman, N. J., & Garg, A. X. (2006) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.06.018 · Cited by 90 · see citing works
Brindal, E., Hendrie, G. A., Freyne, J., Coombe, M., Berkovsky, S., & Noakes, M. (2013) · Journal of Telemedicine and Telecare · doi:10.1177/1357633x13479702 · Cited by 67 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Garvey, W. T., Mechanick, J. I., Brett, E. M., Garber, A. J., Hurley, D. L., Jastreboff, A. M., Nadolsky, K., Pessah-Pollack, R., & Plodkowski, R. (2016) · Endocrine Practice · doi:10.4158/ep161365.gl · Cited by 1,914 · see citing works
Can 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 · see citing works
Ebert, D. D., Van Daele, T., Nordgreen, T., Karekla, M., Compare, A., Zarbo, C., Brugnera, A., Øverland, S., Trebbi, G., Jensen, K. L., et al. (2018) · European Psychologist · doi:10.1027/1016-9040/a000318 · Cited by 437 · see citing works
What is the clinical value of mHealth for patients?
Rowland, S. P., Fitzgerald, J. E., Holme, T., Powell, J., & McGregor, A. (2020) · npj Digital Medicine · doi:10.1038/s41746-019-0206-x · Cited by 454 · see citing works
Laranjo, L., Ding, D., Heleno, B., Kocaballi, B., Quiroz, J. C., Tong, H. L., Chahwan, B., Neves, A. L., Gabarron, E., Dao, K. P., et al. (2021) · British Journal of Sports Medicine · doi:10.1136/bjsports-2020-102892 · Cited by 400 · see citing works
Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020) · Journal of Medical Internet Research · doi:10.2196/22845 · Cited by 363 · see citing works
Prescribable mHealth apps identified from an overview of systematic reviews
Byambasuren, O., Sanders, S., Beller, E., & Glasziou, P. (2018) · npj Digital Medicine · doi:10.1038/s41746-018-0021-9 · Cited by 291 · see citing works
Wang, Y., Xue, H., Huang, Y., Huang, L., & Zhang, D. (2017) · Advances in Nutrition · doi:10.3945/an.116.014100 · Cited by 310 · see citing works
T2DM Self-Management via Smartphone Applications: A Systematic Review and Meta-Analysis
Cui, M., Wu, X., Mao, J., Wang, X., & Nie, M. (2016) · PLOS ONE · doi:10.1371/journal.pone.0166718 · Cited by 269 · see citing works
Clinical management and treatment of obesity in China
Zeng, Q., Li, N., Pan, X.-F., Chen, L., & Pan, A. (2021) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(21)00047-4 · Cited by 269 · see citing works
Oh, Y. J., Zhang, J., Fang, M.-L., & Fukuoka, Y. (2021) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-021-01224-6 · Cited by 278 · see citing works
Müller, A. M., Alley, S., Schoeppe, S., & Vandelanotte, C. (2016) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-016-0434-2 · Cited by 213 · see citing works
Stockwell, S., Schofield, P., Fisher, A., Firth, J., Jackson, S. E., Stubbs, B., & Smith, L. (2019) · Experimental Gerontology · doi:10.1016/j.exger.2019.02.020 · Cited by 212 · see citing works
Parker, K., Uddin, R., Ridgers, N. D., Brown, H., Veitch, J., Salmon, J., Timperio, A., Sahlqvist, S., Cassar, S., Toffoletti, K., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/23389 · Cited by 220 · see citing works
Müller, A. M., Maher, C. A., Vandelanotte, C., Hingle, M., Middelweerd, A., Lopez, M. L., DeSmet, A., Short, C. E., Nathan, N., Hutchesson, M. J., et al. (2018) · Journal of Medical Internet Research · doi:10.2196/jmir.8954 · Cited by 180 · see citing works
Deiana, G., Dettori, M., Arghittu, A., Azara, A., Gabutti, G., & Castiglia, P. (2023) · Vaccines · doi:10.3390/vaccines11071217 · Cited by 168 · see citing works
Alessa, T., Abdi, S., Hawley, M. S., & de Witte, L. (2018) · JMIR mhealth and uhealth · doi:10.2196/10723 · Cited by 160 · see citing works
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 · see citing works
Use of Mobile Phone App Interventions to Promote Weight Loss: Meta-Analysis
Islam, M. M., Poly, T. N., Walther, B. A., & (Jack) Li, Y.-C. (2020) · JMIR mHealth and uHealth · doi:10.2196/17039 · Cited by 114 · see citing works
Old-fashioned technology in the era of “bling”: is there a future for text messaging in health care?
Willcox, J. C., Dobson, R., & Whittaker, R. (2019) · Journal of Medical Internet Research · doi:10.2196/16630 · Cited by 95 · see citing works
Forman, E. M., Goldstein, S. P., Crochiere, R. J., Butryn, M. L., Juarascio, A. S., Zhang, F., & Foster, G. D. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/ibz137 · Cited by 94 · see citing works
Pope, Z., Lee, J. E., Zeng, N., Lee, H. Y., & Gao, Z. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/iby002 · Cited by 97 · see citing works
Mclaughlin, M., Delaney, T., Hall, A., Byaruhanga, J., Mackie, P., Grady, A., Reilly, K., Campbell, E., Sutherland, R., Wiggers, J., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/23180 · Cited by 105 · see citing works
Skrepnik, N., Spitzer, A., Altman, R., Hoekstra, J., Stewart, J., & Toselli, R. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7179 · Cited by 88 · see citing works
Forman, E. M., Goldstein, S. P., Zhang, F., Evans, B. C., Manasse, S. M., Butryn, M. L., Juarascio, A. S., Abichandani, P., Martin, G. J., & Foster, G. D. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/iby016 · Cited by 77 · see citing works
Recio-Rodriguez, J. I., Agudo-Conde, C., Martin-Cantera, C., González-Viejo, M. N., Fernandez-Alonso, M. D. C., Arietaleanizbeaskoa, M. S., Schmolling-Guinovart, Y., Maderuelo-Fernandez, J.-A., Rodriguez-Sanchez, E., Gomez-Marcos, M. A., et al. (2016) · Journal of Medical Internet Research · doi:10.2196/jmir.6814 · Cited by 82 · see citing works
Varma, N., Cygankiewicz, I., Turakhia, M. P., Heidbuchel, H., Hu, Y.-F., Chen, L. Y., Couderc, J.-P., Cronin, E. M., Estep, J. D., Grieten, L., et al. (2021) · Circulation: Arrhythmia and Electrophysiology · doi:10.1161/circep.120.009204 · Cited by 74 · see citing works
Gold, N., Yau, A., Rigby, B., Dyke, C., Remfry, E. A., & Chadborn, T. (2021) · Journal of Medical Internet Research · doi:10.2196/19688 · Cited by 56 · see citing works
Hamaya, R., Fukuda, H., Takebayashi, M., Mori, M., Matsushima, R., Nakano, K., Miyake, K., Tani, Y., & Yokokawa, H. (2021) · Journal of Medical Internet Research · doi:10.2196/21622 · Cited by 48 · see citing works
Mobile application interventions and weight loss in type 2 diabetes: A meta-analysis
Cai, X., Qiu, S., Luo, D., Wang, L., Lu, Y., & Li, M. (2020) · Obesity · doi:10.1002/oby.22715 · Cited by 38 · see citing works
Albergoni, A., Hettinga, F. J., La Torre, A., Bonato, M., & Sartor, F. (2019) · Sports Medicine - Open · doi:10.1186/s40798-019-0214-z · Cited by 39 · see citing works
Bricker, J., Miao, Z., Mull, K., Santiago-Torres, M., & Vock, D. M. (2023) · Journal of Medical Internet Research · doi:10.2196/43629 · Cited by 22 · see citing works
Damschroder, L. J., Buis, L. R., McCant, F. A., Kim, H. M., Evans, R., Oddone, E. Z., Bastian, L. A., Hooks, G., Kadri, R., White-Clark, C., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/19216 · Cited by 23 · see citing works
mHealth research for weight loss, physical activity, and sedentary behavior: bibliometric analysis
Wu, C.-C., Huang, C.-W., Wang, Y.-C., Islam, M. M., Kung, W.-M., Weng, Y.-C., & Su, C.-H. (2022) · Journal of Medical Internet Research · doi:10.2196/35747 · Cited by 19 · see citing works
Potzel, A. L., Gar, C., Banning, F., Sacco, V., Fritsche, A., Fritsche, L., Müssig, K., Dauben, L., Seissler, J., & Lechner, A. (2022) · PLOS ONE · doi:10.1371/journal.pone.0267258 · Cited by 20 · see citing works
Batten, R., Alwashmi, M. F., Mugford, G., Nuccio, M., Besner, A., & Gao, Z. (2022) · JMIR Diabetes · doi:10.2196/23243 · Cited by 16 · see citing works
Verbiest, M., Borrell, S., Dalhousie, S., Tupa'i-Firestone, R., Funaki, T., Goodwin, D., Grey, J., Henry, A., Hughes, E., Humphrey, G., et al. (2018) · JMIR Research Protocols · doi:10.2196/10789 · Cited by 13 · see citing works
Xue, H., Zhang, L., Shi, Y., Zhang, H., Zhang, C., Liu, Y., Tan, W., & Liu, Y. (2025) · Frontiers in Digital Health · doi:10.3389/fdgth.2025.1630588 · Cited by 15 · see citing works
- Authors
- Flores Mateo, G., Granado-Font, E., Ferré-Grau, C., & Montaña-Carreras, X.
- Venue
- Journal of Medical Internet Research
- Publisher
- JMIR Publications Inc.
- Published
- 2015-11-10
- Volume
- 17
- Issue
- 11
- Pages
- e253
- ISSN
- 1438-8871 (ISSN-L)
- PMC
- PMC4704965
- OpenAlex
- W2123420688
- Cited by
- 540
- References
- 31
- Citations by year
- 2026: 13 · 2025: 35 · 2024: 32 · 2023: 42 · 2022: 66 · 2021: 77 · 2020: 80 · 2019: 77 · 2018: 57 · 2017: 40 · 2016: 20 · 2015: 1
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- Journal of Medical Internet Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Information Systems › Mobile Learning in Education
- Keywords
- mobile phone app, weight loss, physical activity, body mass index, body weight, waist circumference, digital health interventions, obesity
- MeSH terms
- Humans, Motor Activity, Obesity, Weight Loss, Cell Phone, Mobile Applications
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