Published on 05.08.16 in Vol 18, No 8 (2016): August
Works citing "mHealth Intervention to Improve Diabetes Risk Behaviors in India: A Prospective, Parallel Group Cohort Study"
According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.5712):
(note that this is only a small subset of citations)
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. Diabetes and data in many forms. International Journal of Diabetes in Developing Countries 2016;36(4):381
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van Olmen J, Erwin E, García-Ulloa AC, Meessen B, Miranda JJ, Bobrow K, Iwelunmore J, Nwaozuru U, Obiezu Umeh C, Smith C, Harding C, Kumar P, Gonzales C, Hernández-Jiménez S, Yeates K. Implementation barriers for mHealth for non-communicable diseases management in low and middle income countries: a scoping review and field-based views from implementers. Wellcome Open Research 2020;5:7
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Mohan B, Sharma S, Sharma S, Kaushal D, Singh B, Takkar S, Aslam N, Goyal A, Wander GS. Assessment of knowledge about healthy heart habits in urban and rural population of Punjab after SMS campaign—A cross-sectional study. Indian Heart Journal 2017;69(4):480
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Chen R, Santo K, Wong G, Sohn W, Spallek H, Chow C, Irving M. Mobile Apps for Dental Caries Prevention: Systematic Search and Quality Evaluation. JMIR mHealth and uHealth 2021;9(1):e19958
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Müller AM, Alley S, Schoeppe S, Vandelanotte C. The effectiveness of e-& mHealth interventions to promote physical activity and healthy diets in developing countries: A systematic review. International Journal of Behavioral Nutrition and Physical Activity 2016;13(1)
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Muralidharan S, Mohan V, Anjana RM, Jena S, Tandon N, Allender S, Ranjani H. Mobile Health Technology (mDiab) for the Prevention of Type 2 Diabetes: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2017;6(12):e242
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Kaur J, Kaur M, Chakrapani V, Webster J, Santos JA, Kumar R, Adu-Afarwuah S. Effectiveness of information technology–enabled ‘SMART Eating’ health promotion intervention: A cluster randomized controlled trial. PLOS ONE 2020;15(1):e0225892
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Wang X, Liu D, Du M, Hao R, Zheng H, Yan C. The role of text messaging intervention in Inner Mongolia among patients with type 2 diabetes mellitus: a randomized controlled trial. BMC Medical Informatics and Decision Making 2020;20(1)
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Kaur J, Kaur M, Webster J, Kumar R. Protocol for a cluster randomised controlled trial on information technology-enabled nutrition intervention among urban adults in Chandigarh (India): SMART eating trial. Global Health Action 2018;11(1):1419738
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Horne M, Tierney S, Henderson S, Wearden A, Skelton D. A systematic review of interventions to increase physical activity among South Asian adults. Public Health 2018;162:71
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Donevant SB, Estrada RD, Culley JM, Habing B, Adams SA. Exploring app features with outcomes in mHealth studies involving chronic respiratory diseases, diabetes, and hypertension: a targeted exploration of the literature. Journal of the American Medical Informatics Association 2018;25(10):1407
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Bassi A, John O, Praveen D, Maulik PK, Panda R, Jha V. Current Status and Future Directions of mHealth Interventions for Health System Strengthening in India: Systematic Review. JMIR mHealth and uHealth 2018;6(10):e11440
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Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11)
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Ramachandran A, Kumar R, Nanditha A, Raghavan A, Snehalatha C, Krishnamoorthy S, Joshi P, Tesfaye F. mDiabetes initiative using text messages to improve lifestyle and health-seeking behaviour in India. BMJ Innovations 2018;4(4):155
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Bowman C, Lunyera J, Alkon A, Boulware LE, St Clair Russell J, Riley J, Fink JC, Diamantidis C. A Patient Safety Educational Tool for Patients With Chronic Kidney Disease: Development and Usability Study. JMIR Formative Research 2020;4(5):e16137
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Misra A, Gopalan H, Jayawardena R, Hills AP, Soares M, Reza‐Albarrán AA, Ramaiya KL. Diabetes in developing countries. Journal of Diabetes 2019;11(7):522
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Fransson A, Chóliz M, Håkansson A. Addiction-Like Mobile Phone Behavior – Validation and Association With Problem Gambling. Frontiers in Psychology 2018;9
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Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol PS, Arun V, Thomas JJ. An android smartphone-based randomized intervention improves the quality of life in patients with type 2 diabetes in Mysore, Karnataka, India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2020;14(5):1327
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. How to Increase Fruit and Vegetable Consumption: A Multistakeholder Approach for Improved Health Outcomes—A Report from the Alliance for Food & Health. Journal of the American College of Nutrition 2018;37(3):251
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Thow AM, Verma G, Soni D, Soni D, Beri DK, Kumar P, Siegel KR, Shaikh N, Khandelwal S. How can health, agriculture and economic policy actors work together to enhance the external food environment for fruit and vegetables? A qualitative policy analysis in India. Food Policy 2018;77:143
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Pramanik BK, Angelin JJ, Mathai VJ, Mathai S, Korula S, Simon A. Smartphone App as Motivational Intervention to Improve Glycemic Control in Adolescents with Type 1 Diabetes. The Indian Journal of Pediatrics 2019;86(12):1118
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Xu Z, Geng J, Zhang S, Zhang K, Yang L, Li J, Li J. A Mobile-Based Intervention for Dietary Behavior and Physical Activity Change in Individuals at High Risk for Type 2 Diabetes Mellitus: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(11):e19869
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Mustafa N, Safii NS, Jaffar A, Sani NS, Mohamad MI, Abd Rahman AH, Mohd Sidik S. Malay Version of the mHealth App Usability Questionnaire (M-MAUQ): Translation, Adaptation, and Validation Study. JMIR mHealth and uHealth 2021;9(2):e24457
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Pai RR, Alathur S. Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India. International Journal of Medical Informatics 2021;145:104330
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Kesavadev J, Krishnan G, Mohan V. Digital health and diabetes: experience from India. Therapeutic Advances in Endocrinology and Metabolism 2021;12:204201882110546
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Zhao S, Cao Y, Cao H, Liu K, Lv X, Zhang J, Li Y, Davidson PM. Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation. Frontiers in Psychology 2022;13
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MacPherson M, Cranston K, Johnston C, Locke S, Jung ME. Evaluation and Refinement of a Bank of SMS Text Messages to Promote Behavior Change Adherence Following a Diabetes Prevention Program: Survey Study. JMIR Formative Research 2021;5(8):e28163
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McCool J, Dobson R, Whittaker R, Paton C. Mobile Health (mHealth) in Low- and Middle-Income Countries. Annual Review of Public Health 2022;43(1):525
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Mokaya M, Kyallo F, Vangoitsenhoven R, Matthys C. Clinical and patient-centered implementation outcomes of mHealth interventions for type 2 diabetes in low-and-middle income countries: a systematic review. International Journal of Behavioral Nutrition and Physical Activity 2022;19(1)
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Trang K, Le LX, Brown CA, To MQ, Sullivan PS, Jovanovic T, Worthman CM, Giang LM. Feasibility, Acceptability, and Design of a Mobile Ecological Momentary Assessment for High-Risk Men Who Have Sex With Men in Hanoi, Vietnam: Qualitative Study. JMIR Formative Research 2022;6(1):e30360
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Char A, Gaudel P, Kulathinal S, Kinnunen TI. Effects of technology-based interventions on dietary intake or anthropometrics among adolescents and adults in South Asia – A systematic review of intervention studies. Obesity Research & Clinical Practice 2022;16(3):181
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Shan Y, Ji M, Xie W, Li R, Qian X, Zhang X, Hao T. Chinese Version of the Mobile Health App Usability Questionnaire: Translation, Adaptation, and Validation Study. JMIR Formative Research 2022;6(7):e37933
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Mathew JL, Patel PN, Wagner AL, Suri V, Bharti B, Carlson BF, Boulton ML. Analysis of reasons for loss to follow up in a prospective study in Chandigarh, India and impact from telecom changes. BMC Research Notes 2021;14(1)
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Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita KS. The Promise of Mobile Technologies for the Health Care System in the Developing World: A Systematic Review. IEEE Reviews in Biomedical Engineering 2019;12:100
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Sabharwal M, Misra A, Ghosh A, Chopra G. Efficacy of Digitally Supported and Real-Time Self-Monitoring of Blood Glucose-Driven Counseling in Patients with Type 2 Diabetes Mellitus: A Real-World, Retrospective Study in North India. Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2022;Volume 15:23
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Shah KS, Patel J, Al Rifai M, Agarwala A, Bhatt AB, Levitzky YS, Palaniappan L. Cardiovascular Risk Management in the South Asian Patient: A Review. Health Sciences Review 2022;4:100045
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Banerjee B, Dutt D, Saha I, Paul B, Lachyan A. Effectiveness of mHealth for modification of dietary habits and physical activity among individuals at risk or suffering from noncommunicable diseases in primary healthcare settings in South East Asian Region countries – A systematic review and meta-analysis. International Journal of Noncommunicable Diseases 2022;7(4):161
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Daniel M, Buchholz S, Fogg L. Physical Activity in South Asian Indians: A Systematic Review of Randomized Controlled Trials. Western Journal of Nursing Research 2023;45(4):363
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Kaur J, Kaur M, Chakrapani V, Kumar R. Theory-guided process evaluation of a multicomponent, technology-based ‘SMART Eating’ trial among Indian adults: an embedded mixed-methods study. Health Education Research 2023;38(5):469
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Hill J, Faber M, George C, Peer N, Mulabisano T, Mostert S, Sobngwi E, Kengne A. The Development of Text Messages to Support People at Risk of Diabetes in Low-Resourced Communities: The South African Diabetes Prevention Programme. Nutrients 2023;15(21):4692
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Joshi V, Joshi NK, Bhardwaj P, Singh K, Ojha D, Jain YK. The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis. Online Journal of Public Health Informatics 2023;15:e50927
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Krasuska M, Davidson EM, Beune E, Jenum AK, Gill JM, Stronks K, van Valkengoed IG, Diaz E, Sheikh A. A Culturally Adapted Diet and Physical Activity Text Message Intervention to Prevent Type 2 Diabetes Mellitus for Women of Pakistani Origin Living in Scotland: Formative Study. JMIR Formative Research 2023;7:e33810
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Kengne AP, Ramachandran A. Feasibility of prevention of type 2 diabetes in low- and middle-income countries. Diabetologia 2024;67(5):763
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Chaudhry M, Kumar M, Singhal V, Srinivasan B. Metabolic health tracking using Ultrahuman M1 continuous glucose monitoring platform in non- and pre-diabetic Indians: a multi-armed observational study. Scientific Reports 2024;14(1)
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Hu L, Wyatt LC, Mohsin F, Lim S, Zanowiak J, Mammen S, Hussain S, Ali SH, Onakomaiya D, Belli H, Aifah A, Islam NS. Characterizing technology use and preferences for health communication in South Asian immigrants with prediabetes or diabetes: Cross-Sectional Descriptive Study (Preprint). JMIR Formative Research 2023;
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According to Crossref, the following books are citing this article (DOI 10.2196/jmir.5712):