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

Digital Health Reviews (1258) Innovations and Technology for Healthy Eating Education (409) Innovations and Technology for Physical Activity Education (737) Web-based and Mobile Health Interventions (3253) mHealth for Wellness, Behavior Change and Prevention (2847)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17790, first published .
Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis

Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis

Effectiveness of Mobile Health Interventions Promoting Physical Activity and Lifestyle Interventions to Reduce Cardiovascular Risk Among Individuals With Metabolic Syndrome: Systematic Review and Meta-Analysis

Authors of this article:

Irene Sequi-Dominguez1 Author Orcid Image ;   Celia Alvarez-Bueno1, 2 Author Orcid Image ;   Vicente Martinez-Vizcaino1, 3 Author Orcid Image ;   Rubén Fernandez-Rodriguez1, 4 Author Orcid Image ;   Alicia del Saz Lara1 Author Orcid Image ;   Iván Cavero-Redondo1, 2 Author Orcid Image
Article Authors Cited by (39) Tweetations (16) Metrics

Journals

  1. Ryu H, Jung J, Moon J. Effectiveness of a Mobile Health Management Program With a Challenge Strategy for Improving the Cardiovascular Health of Workers. Journal of Occupational & Environmental Medicine 2021;63(3):e132 View
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  3. Li Y, Babazono A, Jamal A, Liu N, Fujita T, Zhao R, Maeno Y, Su Y, Liang L, Yao L. The impact of lifestyle guidance intervention on health outcomes among Japanese middle-aged population with metabolic syndrome: A regression discontinuity study. Social Science & Medicine 2022;314:115468 View
  4. Kim H, Lee K, Lee J, Youk H, Lee H. The Effect of a Mobile and Wearable Device Intervention on Increased Physical Activity to Prevent Metabolic Syndrome: Observational Study. JMIR mHealth and uHealth 2022;10(2):e34059 View
  5. Hoevenaars D, Holla J, de Groot S, Weijs P, Kraaij W, Janssen T. Lifestyle and health changes in wheelchair users with a chronic disability after 12 weeks of using the WHEELS mHealth application. Disability and Rehabilitation: Assistive Technology 2024;19(3):648 View
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  10. Sterling S, Bowen S. Effect of a Plant-based Intervention Among Black Individuals in the Deep South: A Pilot Study. Journal of Nutrition Education and Behavior 2023;55(1):68 View
  11. Napolsky I, Popova P. Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives. Russian Journal for Personalized Medicine 2022;2(1):15 View
  12. Murayama H, Shimada S, Morito K, Maeda H, Takahashi Y. Evaluating the Effectiveness of Letter and Telephone Reminders in Promoting the Use of Specific Health Guidance in an At-Risk Population for Metabolic Syndrome in Japan: A Randomized Controlled Trial. International Journal of Environmental Research and Public Health 2023;20(5):3784 View
  13. 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
  14. Chan H, Lim H, Chong P, Yung C, Abd Mulok M, Wei Y, Yong A. Development and Exploration of the Effectiveness and Feasibility of a Digital Intervention for Type 2 Diabetes Mellitus (DEsireD): Protocol for a Clinical Nonrandomized Pilot Trial in Brunei Darussalam. JMIR Research Protocols 2022;11(12):e43208 View
  15. Kaihara T, Falter M, Scherrenberg M, Xu L, Maes J, Meesen E, Dendale P. The impact of dietary education and counselling with a smartphone application on secondary prevention of coronary artery disease: A randomised controlled study (the TeleDiet study). DIGITAL HEALTH 2023;9 View
  16. Chen D, Shao J, Zhang H, Wu J, Xue E, Guo P, Tang L, Cui N, Wang X, Chen L, Ye Z. Development of an individualized WeChat mini program-based intervention to increase adherence to dietary recommendations applying the behaviour change wheel among individuals with metabolic syndrome. Annals of Medicine 2023;55(2) View
  17. Romero-Tapiador S, Lacruz-Pleguezuelos B, Tolosana R, Freixer G, Daza R, Fernández-Díaz C, Aguilar-Aguilar E, Fernández-Cabezas J, Cruz-Gil S, Molina S, Crespo M, Laguna T, Marcos-Zambrano L, Vera-Rodriguez R, Fierrez J, Ramírez de Molina A, Ortega-Garcia J, Espinosa-Salinas I, Morales A, Carrillo de Santa Pau E. AI4FoodDB: a database for personalized e-Health nutrition and lifestyle through wearable devices and artificial intelligence. Database 2023;2023 View
  18. Ren Z, Xia S, Sun J, Wang D, Du Y, Li N, Liu J. Internet use, cardiometabolic multimorbidity, and death in older adults: a multi-cohort study spanning developing and developed countries. Globalization and Health 2023;19(1) View
  19. Jahre L, Lortz J, Rassaf T, Rammos C, Mallien C, Skoda E, Teufel M, Bäuerle A. Needs and demands for mHealth cardiac health promotion among individuals with cardiac diseases: a patient-centred design approach. European Heart Journal - Digital Health 2023;4(5):393 View
  20. Chen D, Zhang H, Wu J, Xue E, Guo P, Tang L, Shao J, Cui N, Wang X, Chen L, Ye Z. Effects of an Individualized mHealth-Based Intervention on Health Behavior Change and Cardiovascular Risk Among People With Metabolic Syndrome Based on the Behavior Change Wheel: Quasi-Experimental Study. Journal of Medical Internet Research 2023;25:e49257 View
  21. Park S, Lee J, Seok J, Park C, Jun J. Comprehensive lifestyle modification interventions for metabolic syndrome: A systematic review and meta‐analysis. Journal of Nursing Scholarship 2023 View
  22. Jahan E, Almansour R, Ijaz K, Baptista S, Giordan L, Ronto R, Zaman S, O'Hagan E, Laranjo L. Smartphone Applications to Prevent Type 2 Diabetes: A Systematic Review and Meta-Analysis. American Journal of Preventive Medicine 2024;66(6):1060 View
  23. Reiner S, Reed R. Reducing the Barriers to Physical Activity with Digital Fitness Interventions. ACSM'S Health & Fitness Journal 2024;28(2):32 View
  24. Di Martino G, della Valle C, Centorbi M, Buonsenso A, Fiorilli G, Calcagno G, Iuliano E, di Cagno A. Enhancing Behavioural Changes: A Narrative Review on the Effectiveness of a Multifactorial APP-Based Intervention Integrating Physical Activity. International Journal of Environmental Research and Public Health 2024;21(2):233 View
  25. Ghavami M, Sadeghian S, Ahmadi A, Lotfi-Tokaldany M, Ashoorkhani M, Haji Ali Asgari F. The effectiveness of green heart application to manage modifiable risk factors of coronary artery disease in Tehran Heart Center: Study protocol for a randomized controlled trial. Heliyon 2024;10(7):e28370 View
  26. Monserrat-Mesquida M, Quetglas-Llabrés M, Bouzas C, García S, Mateos D, Ugarriza L, Gómez C, Tur J, Sureda A. Effects of Regular Exercise on the Biochemical, Oxidative, and Inflammatory Profiles and Quality of Life in Older Spaniards with Metabolic Syndrome. Antioxidants 2024;13(4):450 View
  27. Lam L, Lam M. A Web-Based and Mobile Intervention Program Using a Spaced Education Approach for Workplace Mental Health Literacy: Cluster Randomized Controlled Trial. JMIR Mental Health 2024;11:e51791 View
  28. Zhu Y, Bing J, Zheng L, Hao P, Teng X, Wan L. The association between composite dietary antioxidant index and the metabolic syndrome: NHANES 2007–2018. Journal of Functional Foods 2024;116:106200 View
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  30. Tegegne T, Shifti D, Rawstorn J, Jansons P, Zhang Y, Daryabeygikhotbehsara R, Islam S, Maddison R. Digital lifestyle interventions for cardiovascular risk reduction: A systematic review and network meta-analysis. Health Policy and Technology 2024;13(3):100879 View
  31. Park N, Jang S. Effects of mHealth Practice Patterns on Improving Metabolic Syndrome Using the Information–Motivation–Behavioral Skills Model. Nutrients 2024;16(13):2099 View
  32. Singh B, Ahmed M, Staiano A, Gough C, Petersen J, Vandelanotte C, Kracht C, Huong C, Yin Z, Vasiloglou M, Pan C, Short C, Mclaughlin M, von Klinggraeff L, Pfledderer C, Moran L, Button A, Maher C. A systematic umbrella review and meta-meta-analysis of eHealth and mHealth interventions for improving lifestyle behaviours. npj Digital Medicine 2024;7(1) View
  33. Cho E, Kim S, Kim S, Kim J, Kim H, Go Y, Lee Y, Lee H, Gil S, Yoon S, Chu K. The Effect of Mobile Lifestyle Intervention Combined with High-Protein Meal Replacement on Liver Function in Patients with Metabolic Dysfunction-Associated Steatotic Liver Disease: A Pilot Randomized Controlled Trial. Nutrients 2024;16(14):2254 View
  34. Giuseppina B, Francesca G, Rezarta K, Laura T, Antonella D, Alessandra P, Maria Rosaria I, Daniela L, Vito D, Vigna L. Lifestyle intervention in workers with obesity and sedentary behavior: A pilot study for the “OTTiMo LavorO” project. Mediterranean Journal of Nutrition and Metabolism 2024;17(3):205 View
  35. Lim G, Park E, Song J, Kwon R, Kang J, Cho Y, Jung S, Chang Y, Ryu S. Lifelog-based daily step counts, walking speed, and metabolically healthy status. DIGITAL HEALTH 2024;10 View
  36. Brinkmann C, Denzin J, Behrens M. Technikbasierte Interventionen in der Sport- und Bewegungstherapie bei Menschen mit Diabetes mellitus Typ 2. B&G Bewegungstherapie und Gesundheitssport 2024;40(04):152 View
  37. Bushey E, Wu Y, Wright A, Pescatello L. The Influence of Physical Activity and Diet Mobile Apps on Cardiovascular Disease Risk Factors: Meta-Review. Journal of Medical Internet Research 2024;26:e51321 View

Books/Policy Documents

  1. Monteiro R, Kamensky A, Pereira L. Proceedings of IDEAS 2022. View