This paper is in the following e-collection/theme issue:

Mobile Health (mhealth) (2939) mHealth in the Developing World/LMICs, Underserved Communities, and for Global Health (565) mHealth for Wellness, Behavior Change and Prevention (2871)

Published on in Vol 18, No 8 (2016): August

mHealth Intervention to Improve Diabetes Risk Behaviors in India: A Prospective, Parallel Group Cohort Study

mHealth Intervention to Improve Diabetes Risk Behaviors in India: A Prospective, Parallel Group Cohort Study

mHealth Intervention to Improve Diabetes Risk Behaviors in India: A Prospective, Parallel Group Cohort Study

Authors of this article:

Angela Pfammatter1 Author Orcid Image ;   Bonnie Spring1 Author Orcid Image ;   Nalini Saligram2 Author Orcid Image ;   Raj Davé3 Author Orcid Image ;   Arun Gowda4 Author Orcid Image ;   Linelle Blais5 Author Orcid Image ;   Monika Arora6 Author Orcid Image ;   Harish Ranjani7 Author Orcid Image ;   Om Ganda8 Author Orcid Image ;   Donald Hedeker9 Author Orcid Image ;   Sethu Reddy8 Author Orcid Image ;   Sandhya Ramalingam2 Author Orcid Image
Article Authors Cited by (52) Tweetations (54) Metrics

Journals

  1. Sridhar G. Diabetes and data in many forms. International Journal of Diabetes in Developing Countries 2016;36(4):381 View
  2. van Olmen J, Erwin E, García-Ulloa A, Meessen B, Miranda J, 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 View
  3. Mohan B, Sharma S, Sharma S, Kaushal D, Singh B, Takkar S, Aslam N, Goyal A, Wander G. 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 View
  4. 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 View
  5. Müller A, 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) View
  6. Muralidharan S, Mohan V, Anjana R, 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 View
  7. Kaur J, Kaur M, Chakrapani V, Webster J, Santos J, 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 View
  8. 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) View
  9. 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 View
  10. 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 View
  11. Donevant S, Estrada R, Culley J, Habing B, Adams S. 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 View
  12. Bassi A, John O, Praveen D, Maulik P, 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 View
  13. Allman-Farinelli M, Gemming L. Technology Interventions to Manage Food Intake: Where Are We Now?. Current Diabetes Reports 2017;17(11) View
  14. 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 View
  15. Bowman C, Lunyera J, Alkon A, Boulware L, St Clair Russell J, Riley J, Fink J, Diamantidis C. A Patient Safety Educational Tool for Patients With Chronic Kidney Disease: Development and Usability Study. JMIR Formative Research 2020;4(5):e16137 View
  16. Misra A, Gopalan H, Jayawardena R, Hills A, Soares M, Reza‐Albarrán A, Ramaiya K. Diabetes in developing countries. Journal of Diabetes 2019;11(7):522 View
  17. Fransson A, Chóliz M, Håkansson A. Addiction-Like Mobile Phone Behavior – Validation and Association With Problem Gambling. Frontiers in Psychology 2018;9 View
  18. Sunil Kumar D, Prakash B, Subhash Chandra B, Kadkol P, Arun V, Thomas J. 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 View
  19. Rakotoniaina A. 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 View
  20. Thow A, Verma G, Soni D, Soni D, Beri D, Kumar P, Siegel K, 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 View
  21. Pramanik B, Angelin J, Mathai V, 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 View
  22. 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 View
  23. Mustafa N, Safii N, Jaffar A, Sani N, Mohamad M, Abd Rahman A, 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 View
  24. Pai R, Alathur S. Bibliometric Analysis and Methodological Review of Mobile Health Services and Applications in India. International Journal of Medical Informatics 2021;145:104330 View
  25. Kesavadev J, Krishnan G, Mohan V. Digital health and diabetes: experience from India. Therapeutic Advances in Endocrinology and Metabolism 2021;12 View
  26. Zhao S, Cao Y, Cao H, Liu K, Lv X, Zhang J, Li Y, Davidson P. Chinese Version of the mHealth App Usability Questionnaire: Cross-Cultural Adaptation and Validation. Frontiers in Psychology 2022;13 View
  27. MacPherson M, Cranston K, Johnston C, Locke S, Jung M. 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 View
  28. 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 View
  29. 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) View
  30. Trang K, Le L, Brown C, To M, Sullivan P, Jovanovic T, Worthman C, Giang L. 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 View
  31. Char A, Gaudel P, Kulathinal S, Kinnunen T. 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 View
  32. 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 View
  33. Mathew J, Patel P, Wagner A, Suri V, Bharti B, Carlson B, Boulton M. 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) View
  34. Karageorgos G, Andreadis I, Psychas K, Mourkousis G, Kiourti A, Lazzi G, Nikita K. 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 View
  35. 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 View
  36. Shah K, Patel J, Al Rifai M, Agarwala A, Bhatt A, Levitzky Y, Palaniappan L. Cardiovascular Risk Management in the South Asian Patient: A Review. Health Sciences Review 2022;4:100045 View
  37. 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 View
  38. 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 View
  39. 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 View
  40. 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 View
  41. Joshi V, Joshi N, Bhardwaj P, Singh K, Ojha D, Jain Y. The Health Impact of mHealth Interventions in India: Systematic Review and Meta-Analysis. Online Journal of Public Health Informatics 2023;15:e50927 View
  42. Krasuska M, Davidson E, Beune E, Jenum A, Gill J, Stronks K, van Valkengoed I, 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 View
  43. Kengne A, Ramachandran A. Feasibility of prevention of type 2 diabetes in low- and middle-income countries. Diabetologia 2024;67(5):763 View
  44. 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) View
  45. Hu L, Wyatt L, Mohsin F, Lim S, Zanowiak J, Mammen S, Hussain S, Ali S, Onakomaiya D, Belli H, Aifah A, Islam N. Characterizing Technology Use and Preferences for Health Communication in South Asian Immigrants With Prediabetes or Diabetes: Cross-Sectional Descriptive Study. JMIR Formative Research 2024;8:e52687 View
  46. Arueyingho O, Aprioku J, Marshall P, O'Kane A. Insights Into Sociodemographic Influences on Type 2 Diabetes Care and Opportunities for Digital Health Promotion in Port Harcourt, Nigeria: Quantitative Study. JMIR Diabetes 2024;9:e56756 View
  47. Jothydev K, Dominic E, Sandra B, Katja W, Vishal G, Julia R. Pragmatic Study Design to Assess the Effect of a mHealth Application on Empowerment of Noninsulin Treated Type 2 Diabetes People in a Low- and Middle-income Setup. International Journal of Diabetes and Technology 2024;3(2):80 View

Books/Policy Documents

  1. Deepa M, Shruti M, Mohan V. Diabetes Digital Health. View
  2. Abdulrahman S, Ganasegeran K. Telemedicine Technologies. View
  3. Juffernbruch K. Telemedizin. View
  4. Narasimhadevara A, Rambhatla R. Technology and Global Public Health. View
  5. Ranjani H, Nitika S, Pradeepa R, Anjana R, Mohan V. Diabetes Digital Health, Telehealth, and Artificial Intelligence. View