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

mHealth for Wellness, Behavior Change and Prevention (3074) Usability of Apps and User Perceptions of mHealth (1072) Design and Formative Evaluation of Mobile Apps (741) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1551) Hypertension Prevention and Treatment (253)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/26233, first published .
A Mobile Health Salt Reduction Intervention for People With Hypertension: Results of a Feasibility Randomized Controlled Trial

A Mobile Health Salt Reduction Intervention for People With Hypertension: Results of a Feasibility Randomized Controlled Trial

A Mobile Health Salt Reduction Intervention for People With Hypertension: Results of a Feasibility Randomized Controlled Trial

Authors of this article:

Sarah Payne Riches1 Author Orcid Image ;   Carmen Piernas1 Author Orcid Image ;   Paul Aveyard1, 2 Author Orcid Image ;   James P Sheppard1 Author Orcid Image ;   Mike Rayner3 Author Orcid Image ;   Charlotte Albury1 Author Orcid Image ;   Susan A Jebb1, 2 Author Orcid Image
Article Authors Cited by (21) Tweetations (5) Metrics

Journals

  1. Aliasgharzadeh S, Tabrizi J, Nikniaz L, Ebrahimi-Mameghani M, Lotfi Yagin N, Abdelbasset W. Effect of salt reduction interventions in lowering blood pressure: A comprehensive systematic review and meta-analysis of controlled clinical trials. PLOS ONE 2022;17(12):e0277929 View
  2. Tan S, Mohd-Sidik S, Rampal L, Tan K, Ibrahim Z, Ahmad N, Mustapha U, Paimin F, Talib N, Sharifuddin N, Ibrahim N. Effectiveness of an integrated-Weight Management Programme (i-WMP) in Reducing Body Weight among Noncommunicable Disease Patients in Malaysian Government Primary Care Clinics: A Randomised Controlled Tria. Malaysian Journal of Medicine and Health Sciences 2022;18(6):54 View
  3. Perin M, São-João T, Gallani M, Agbadje T, Rodrigues R, Cornélio M. A Mobile Phone App Intervention to Promote Healthy Salt Intake Among Adults: Protocol for a Randomized Controlled Study. JMIR Research Protocols 2022;11(6):e37853 View
  4. Eyles H, Grey J, Jiang Y, Umali E, McLean R, Te Morenga L, Neal B, Rodgers A, Doughty R, Ni Mhurchu C. Effectiveness of a Sodium-Reduction Smartphone App and Reduced-Sodium Salt to Lower Sodium Intake in Adults With Hypertension: Findings From the Salt Alternatives Randomized Controlled Trial. JMIR mHealth and uHealth 2023;11:e43675 View
  5. Zhang P, Sun J, Li Y, Li Y, Sun Y, Luo R, Nie X, Li L, Liu Y, He F. An mHealth-based school health education system designed to scale up salt reduction in China (EduSaltS): A development and preliminary implementation study. Frontiers in Nutrition 2023;10 View
  6. Trivedi R, Elshafie S, Tackett R, Young H, Sattler E. Effectiveness and Feasibility of Telehealth-Based Dietary Interventions Targeting Cardiovascular Disease Risk Factors: Systematic Review and Meta-Analysis. Journal of Medical Internet Research 2024;26:e49178 View
  7. Piernas C, Lee C, Hobson A, Harmer G, Payne Riches S, Noreik M, Jebb S. A Behaviorally Informed Mobile App to Improve the Nutritional Quality of Grocery Shopping (SwapSHOP): Feasibility Randomized Controlled Trial. JMIR mHealth and uHealth 2024;12:e45854 View
  8. Pala D, Petrini G, Bosoni P, Larizza C, Quaglini S, Lanzola G. Smartphone applications for nutrition Support: A systematic review of the target outcomes and main functionalities. International Journal of Medical Informatics 2024;184:105351 View
  9. Yan Y, Chan L, Wang M, Kwok J, Anderson C, Lee J. Technology-supported behavior change interventions for reducing sodium intake in adults: a systematic review and meta-analysis. npj Digital Medicine 2024;7(1) View
  10. Bandeira A, Gama de Melo P, Johann E, Ritti-Dias R, Rech C, Gerage A. Effect of m-Health-Based Interventions on Blood Pressure: An Updated Systematic Review with Meta-Analysis. Telemedicine and e-Health 2024;30(9):2402 View
  11. Yap H, Lim J, Tan S, Ang C. Effectiveness of digital health interventions on adherence and control of hypertension: a systematic review and meta-analysis. Journal of Hypertension 2024;42(9):1490 View
  12. Van Stee S, Yang Q, Falcone M. Health Behavior Change Interventions Using Mobile Phones: A Meta-Analysis. Health Communication 2024:1 View
  13. Abe M, Hirata T, Morito N, Kawashima M, Yoshida S, Takami Y, Fujimoto T, Kawasoe S, Shibukawa T, Segawa H, Yamanokuchi T, Ishida S, Takahashi K, Tada K, Kato Y, Sakima A, Arima H. Smartphone application-based intervention to lower blood pressure: a systematic review and meta-analysis. Hypertension Research 2025;48(2):492 View
  14. Zhou Y, Li S, Huang R, Ma H, Wang A, Tang X, Pei R, Piao M. Behavior Change Techniques Used in Self-Management Interventions Based on mHealth Apps for Adults With Hypertension: Systematic Review and Meta-Analysis of Randomized Controlled Trials. Journal of Medical Internet Research 2024;26:e54978 View
  15. Nogueira-Rio N, Varela Vazquez L, Lopez-Santamarina A, Mondragon-Portocarrero A, Karav S, Miranda J. Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review. Dietetics 2024;3(4):483 View
  16. Ergül Y, Şahan R, Çelik M. ATIŞTIRMALIK BESİNLERİN TUZ İÇERİKLERİ: KLİNİK KARAR VERİCİLERİN KULLANIMINA YÖNELİK VERİ TABANI OLUŞTURULMASI. Anadolu Üniversitesi Mesleki Eğitim ve Uygulama Dergisi 2024;3(2):92 View
  17. Barzegar H, Sodagar S, Seirafi M, Farahbakhsh M, Hashemi T. Blood pressure management protocol based on transtheoretical model effectiveness on self- care: A systematic review. Health Promotion Perspectives 2024;14(3):207 View
  18. Clifford N, Tunis R, Ariyo A, Yu H, Rhee H, Radhakrishnan K. Trends and Gaps in Digital Precision Hypertension Management: Scoping Review. Journal of Medical Internet Research 2025;27:e59841 View
  19. Ambrosi E, Mezzalira E, Canzan F, Leardini C, Vita G, Marini G, Longhini J. Effectiveness of digital health interventions for chronic conditions management in European primary care settings: Systematic review and meta-analysis. International Journal of Medical Informatics 2025;196:105820 View
  20. Buckell J, Palma D, Hess S, Jebb S, Piernas C. Taxing fat versus behavioural interventions: Multiple discrete–continuous extreme value (MDCEV) models and the PCSHOP randomized trial of shopping behaviour. Food Policy 2025;132:102836 View
  21. Li J, Me R, Ahmad F, Zhu Q, Sorathiya V. Investigating the application of IoT mobile app and healthcare services for diabetic elderly: A systematic review. PLOS ONE 2025;20(4):e0321090 View