Dietary self-management using mobile health technology for adults with type 2 diabetes: a scoping review
Open accessAbstract
OBJECTIVE: Dietary self-management is one key component to achieve optimal glycemic control. Advances in mobile health (mHealth) technology have reduced the burden of diabetes self-management; however, limited evidence has been known regarding the status of the current body of research using mHealth technology for dietary management for adults with type 2 diabetes. METHODS: Literature searches were conducted electronically using PubMed, CINAHL (EBSCO), Web of Science Core Collection, PsycINFO (Ovid), EMBASE (Ovid), and Scopus. Keywords and subject headings covered dietary management, type 2 diabetes, and mHealth. Inclusion criteria included studies that applied mHealth for dietary self-management for adults with type 2 diabetes and were published in English as full articles. RESULTS: This review (N = 15 studies) revealed heterogeneity of the mHealth-based dietary self-management or interventions and reported results related to physiological, dietary behavioral, and psychosocial outcomes. Twelve studies applied smartphone apps with varied functions for dietary management or intervention, while three studies applied continuous glucose monitoring (CGM) to guide dietary changes. Among 15 reviewed studies, only three of them were two-arm randomized clinical trial (RCT) with larger sample and 12-month study duration and 12 of them were pilot testing. Nine of 12 pilot studies showed improved HbA1c; most of them resulted in varied dietary changes; and few of them showed improved diabetes distress and depression. CONCLUSION: Our review provided evidence that the application of mHealth technology for dietary intervention for adults with type 2 diabetes is still in pilot testing. The preliminary effects are inconclusive on physiological, dietary behavioral, and psychosocial outcomes.
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?
mHealth technology for dietary intervention for adults with T2DM is still in the pilot testing stage.
“The application of mHealth technology for dietary intervention for adults with T2DM is still in the pilot testing stage.”
From Digital diabetes management technologies for type 2 diabetes: a systematic review of home-based care interventions (2025) · cites this paper as [17]
Preliminary effects of mHealth dietary interventions are inconclusive on physiological, dietary behavioral, and psychosocial outcomes.
“The preliminary effects are inconclusive on physiological, dietary behavioral, and psychosocial outcomes.”
From Digital diabetes management technologies for type 2 diabetes: a systematic review of home-based care interventions (2025) · cites this paper as [17]
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
Munn, Z., Peters, M. D. J., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018) · BMC Medical Research Methodology · doi:10.1186/s12874-018-0611-x · Cited by 11,385 · see citing works
IDF Diabetes Atlas: Global estimates for the prevalence of diabetes for 2015 and 2040
Ogurtsova, K., Fernandes, J. D. D. R., Huang, Y., Linnenkamp, U., Guariguata, L., Cho, N. H., Cavan, D. A., Shaw, J. E., & Makaroff, L. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.03.024 · Cited by 6,977 · see citing works
Economic Costs of Diabetes in the U.S. in 2017
American Diabetes Association (2018) · Diabetes Care · doi:10.2337/dci18-0007 · Cited by 2,528 · see citing works
Hou, C., Carter, B., Hewitt, J., Francisa, T., & Mayor, S. (2016) · Diabetes Care · doi:10.2337/dc16-0346 · Cited by 411 · see citing works
7. Diabetes Technology: <i>Standards of Medical Care in Diabetes—2022</i>
American Diabetes Association Professional Practice Committee (2022) · Diabetes Care · doi:10.2337/dc22-s007 · Cited by 358 · see citing works
DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients
Waki, K., Fujita, H., Uchimura, Y., Omae, K., Aramaki, E., Kato, S., Lee, H., Kobayashi, H., Kadowaki, T., & Ohe, K. (2014) · Journal of Diabetes Science and Technology · doi:10.1177/1932296814526495 · Cited by 203 · see citing works
Fu, H., McMahon, S. K., Gross, C. R., Adam, T. J., & Wyman, J. F. (2017) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2017.06.016 · Cited by 173 · see citing works
Mobile Applications for Control and Self Management of Diabetes: A Systematic Review
Brzan, P. P., Rotman, E., Pajnkihar, M., & Klanjsek, P. (2016) · Journal of Medical Systems · doi:10.1007/s10916-016-0564-8 · Cited by 161 · see citing works
Alonso‐Domínguez, R., García‐Ortiz, L., Patino-Alonso, M. C., Sánchez‐Aguadero, N., Gómez-Marcos, M. Á., & Recio-Rodriguez, J. I. (2019) · Nutrients · doi:10.3390/nu11010162 · Cited by 90 · see citing works
Evaluation of a Mobile Phone Image-Based Dietary Assessment Method in Adults with Type 2 Diabetes
Rollo, M. E., Ash, S., Lyons‐Wall, P., & Russell, A. W. (2015) · Nutrients · doi:10.3390/nu7064897 · Cited by 88 · see citing works
Cox, D. J., Banton, T., Moncrief, M., Conaway, M., Diamond, A., & McCall, A. L. (2020) · Journal of the Endocrine Society · doi:10.1210/jendso/bvaa118 · Cited by 82 · see citing works
Automatic diet monitoring: a review of computer vision and wearable sensor-based methods
Hassannejad, H., Matrella, G., Ciampolini, P., Munari, I. D., Mordonini, M., & Cagnoni, S. (2017) · International Journal of Food Sciences and Nutrition · doi:10.1080/09637486.2017.1283683 · Cited by 75 · see citing works
Wu, X., Kee, J. C. Y., Threapleton, D. E., Ma, R. C. W., Lam, V., Lee, E. K. P., Wong, S. Y. S., & Chung, V. C. (2018) · Obesity Reviews · doi:10.1111/obr.12669 · Cited by 73 · see citing works
Berman, M. A., Guthrie, N. L., Edwards, K. L., Appelbaum, K. J., Njike, V. Y., Eisenberg, D. M., & Katz, D. L. (2018) · JMIR Diabetes · doi:10.2196/diabetes.9591 · Cited by 70 · see citing works
Taylor, P. J., Thompson, C. H., Luscombe‐Marsh, N. D., Wycherley, T. P., Wittert, G., & Brinkworth, G. D. (2019) · Diabetes Therapy · doi:10.1007/s13300-019-0572-z · Cited by 70 · see citing works
DialBetics With a Multimedia Food Recording Tool, FoodLog
Waki, K., Aizawa, K., Kato, S., Fujita, H., Lee, H., Kobayashi, H., Ogawa, M., Mouri, K., Kadowaki, T., & Ohe, K. (2015) · Journal of Diabetes Science and Technology · doi:10.1177/1932296815579690 · Cited by 48 · see citing works
Impact of a Digital Lifestyle Intervention on Diabetes Self-Management: A Pilot Study
Bretschneider, M. P., Klásek, J., Karbanová, M., Timpel, P., Herrmann, S., & Schwarz, P. E. H. (2022) · Nutrients · doi:10.3390/nu14091810 · Cited by 39 · see citing works
Ku, E. J., Park, J., Jeon, H. J., Oh, T. K., & Choi, H. J. (2020) · Internal Medicine Journal · doi:10.1111/imj.14738 · Cited by 27 · see citing works
Oser, T. K., Cucuzzella, M. T., Stasinopoulos, M., MONCRIEF, M. A., McCall, A. L., & Cox, D. J. (2022) · JMIR Diabetes · doi:10.2196/34465 · Cited by 27 · see citing works
Ahn, Y., Bae, J., & Kim, H.-S. (2016) · Nutrition Research and Practice · doi:10.4162/nrp.2016.10.3.342 · Cited by 26 · see citing works
Taylor, P. J., Thompson, C. H., Luscombe‐Marsh, N. D., Wycherley, T. P., Wittert, G., Brinkworth, G. D., & Zajac, I. T. (2019) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2019.107814 · Cited by 21 · see citing works
Assessment guidance of carbohydrate counting method in patients with type 2 diabetes mellitus
Martins, M. R., Ambrosio, A. C. T., Nery, M., de Aquino, R. D. C., & Queiroz, M. S. (2013) · Primary care diabetes · doi:10.1016/j.pcd.2013.04.009 · Cited by 20 · see citing works
Quality measure attainment in patients with type 2 diabetes mellitus.
Lafeuille, M.-H., Grittner, A. M., Gravel, J., Bailey, R. A., Martin, S., Garber, L., Duh, M. S., & Lefèbvre, P. (2014) · PubMed · Cited by 16 · see citing works
Effect of implementing a mobile game on improving dietary information in diabetic patients
Koohmareh, Z., Karandish, M., & Hadianfard, A. M. (2021) · Medical Journal of the Islamic Republic of Iran · doi:10.47176/mjiri.35.68 · Cited by 10 · see citing works
Qin, Y., Aqeel, M. M., Zhu, F. M., Delp, E. J., & Eicher‐Miller, H. A. (2021) · Nutrients · doi:10.3390/nu13041179 · Cited by 9 · see citing works
Tsunemi, A., Sato, J., Sugimoto, S., Iwagaki, Y., Enomoto, M., Someya, Y., Kiya, M., Matsuhashi, E., Wakabayashi, Y., Funayama, T., et al. (2021) · Journal of Clinical Medicine Research · doi:10.14740/jocmr4558 · Cited by 9 · see citing works
Alrige, M., Alharbey, R., & Chatterjee, S. (2020) · Journal of Medical Internet Research · doi:10.2196/15497 · Cited by 5 · see citing works
Kumar, D., Joshi, A., Grover, A., Raina, S. K., Bhardwaj, A., Malhotra, B., & Sharma, S. (2021) · Journal of Diabetology · doi:10.4103/jod.jod_21_21 · Cited by 3 · see citing works
Patnaik, L., Panigrahi, S. K., Sahoo, A., Mishra, D., Beura, S., & Muduli, A. K. (2021) · National Journal of Community Medicine · doi:10.5455/njcm.20211129090031 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Impact of an SMS intervention to support type 2 diabetes self-management: DiabeText clinical trial
Zamanillo‐Campos, R., Fiol-deRoque, M. A., Serrano-Ripoll, M. J., Llobera, J., Taltavull-Aparicio, J. M., Leiva, A., Ripoll, J., Angullo-Martínez, E., Socias, I. M., Masmiquel, L., et al. (2024) · British Journal of General Practice · doi:10.3399/bjgp.2024.0206 · Cited by 13 · see citing works
Towett, G., Snead, R. S., Marczika, J., Ambalavanan, R., Mbogori-Kairichi, M., & Malioukis, A. (2025) · Digital Health · doi:10.1177/20552076251406654 · Cited by 10 · see citing works
Odutola, P. O., Olorunyomi, P. O., Olatawura, O. O., & Olorunyomi, I. (2025) · Medicine Advances · doi:10.1002/med4.70008 · Cited by 6 · see citing works
Editorial: Continuous glucose monitoring: beyond diabetes management
Xiao, J. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1678600 · Cited by 6 · see citing works
Abdul Latif el Ejel, B., Sattar, S., Fatima, S. B., Khan, H. N., Ali, H., Iftikhar, A., Sarwer, M. A., & Mushtaq, M. (2025) · Cureus · doi:10.7759/cureus.84177 · Cited by 4 · see citing works
Greenlee, M., Wu, B., Sun, M., Chen, K., Jia, W., Zweig, S. B., Melkus, G. D., Parekh, N., & Zheng, Y. (2025) · JMIR Diabetes · doi:10.2196/73381 · Cited by 4 · see citing works
Artificial Intelligence for Dietary Management
Shafik, W. (2024) · Advances in medical diagnosis, treatment, and care (AMDTC) book series · doi:10.4018/979-8-3693-5528-2.ch009 · Cited by 3 · see citing works
Yuan, X., Cui, X., Wang, Y., Wang, Y., Duan, X., & Shen, H. (2025) · Medicine · doi:10.1097/md.0000000000045193 · Cited by 1 · see citing works
Sze, W. T., Waki, K., Nakada, R., Yamauchi, T., Nangaku, M., & Ohe, K. (2025) · JMIR Formative Research · doi:10.2196/69340 · Cited by 2 · see citing works
Brown, J. V. E., Ajjan, R., Siddiqi, N., Kellar, I., & Coventry, P. A. (2024) · medRxiv · doi:10.1101/2024.05.16.24307473
Greenlee, M., Wu, B., Sun, M., Chen, K., Jia, W., Zweig, S. B., Melkus, G. D., Parekh, N., & Zheng, Y. (2025) · doi:10.2196/preprints.73381
Artificial intelligence (AI) in Diabetes Management, Obesity, and AI-Driven Weight Management
Shafik, W. (2025) · Advances in computational intelligence and robotics book series · doi:10.4018/979-8-3373-3196-6.ch006
Manikandan, S., Shore, S., Waszczuk, D., Miriyala, S., & Sadanala, G. (2026) · Personalized Medicine · doi:10.1080/17410541.2026.2682847
Brown, J. V. E., Matthias, O., Hendon, J., Ajjan, R., Siddiqi, N., Kellar, I., & Coventry, P. A. (2026) · Frontiers in Health Services · doi:10.3389/frhs.2026.1807689
ADVANCES AND CHALLENGES IN CONTINUOUS GLUCOSE MONITORING FOR DIABETES MANAGEMENT. A NARRATIVE REVIEW
Ciemięga, J., Klecha, J., Kucab, E., Szpanelewski, K., Kołodziej, R., Kołodziej, A., Dziki, K., Kula, I. K., Adamiec, W., Danilczuk, D., et al. (2026) · International Journal of Innovative Technologies in Social Science · doi:10.31435/ijitss.3(51).2026.5752
Brown, J. V. E., Ajjan, R., Siddiqi, N., & Coventry, P. A. (2026) · Frontiers in Clinical Diabetes and Healthcare · doi:10.3389/fcdhc.2026.1923186
Wang, X., Wang, S., Xiao, X., Jin, Z., Jiang, Z., Wu, B., Deng, P., & Xiao, W. (2026) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2026.107135
- Authors
- Zheng, Y., Campbell Rice, B., Melkus, G. D., Sun, M., Zweig, S., Jia, W., Parekh, N., He, H., Zhang, Y., & Wylie-Rosett, J.
- Affiliations
- New York University (US)
- NYU Libraries, New York, NY, USA
- University of Pittsburgh (US)
- NYU Langone Health (US)
- Division of Health Behavior Research and Implementation Science, Department of Epidemiology and Population Health, Albert Einstein College of Medicine, New York, NY, USA
- Corresponding author
- Zheng, Yaguang
- ORCID
- Venue
- Journal of Diabetes Science and Technology
- Publisher
- SAGE Publications
- Published
- 2023-05-10
- Volume
- 17
- Issue
- 5
- Pages
- 1212-1225
- ISSN
- 1932-2968 (ISSN-L)
- PMC
- PMC10563537
- OpenAlex
- W4376107847
- Cited by
- 17
- References
- 29
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 3
- FWCI
- 5.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Journal of Diabetes Science and Technology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (UL1TR001445)
- National Heart, Lung, and Blood Institute (R25 HL145323-01A1)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK111022)
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Keywords
- type 2 diabetes, dietary self-management, mobile health, mobile application, continuous glucose monitoring, glycemic control, HbA1c, diabetes distress, depression, dietary behavior, diabetes self-management
- MeSH terms
- Self-Management, Adult, Diabetes Mellitus, Type 2, Humans, Technology, Randomized Controlled Trials as Topic, Telemedicine, 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
