Literature DB >> 28972573

Efficacy of a mobile hypertension prevention delivery platform with human coaching.

T Toro-Ramos1, Y Kim1, M Wood1, J Rajda2, K Niejadlik2, J Honcz2, D Marrero3, A Fawer1, A Michaelides1.   

Abstract

This pilot study evaluated the efficacy of a Hypertension Prevention Program (HPP) administered through a mobile application platform with human coaching (app) on reduction in blood pressure and weight in 50 adults with prehypertension or hypertension. Participants were recruited into a 24-week mobile application intervention to administer the HPP between January 2016 and July 2016. Dietary elements of the programme were based on the Dietary Approaches to Stop Hypertension. The programme included in-app human coaching with bi-weekly phone calls, meal logging, blood pressure tracking and educational material. Main outcome variables included change in systolic and diastolic blood pressure, hypertension category, and weight loss. Data were analysed between October 2016 and December 2016. The HPP yielded overall improvements in weight (-3.04±4.04 kg, P=<0.001), diastolic blood pressure (-5.06±11.89 mm Hg, P=0.004), and hypertension category (-0.48±0.74 mm Hg, P=<0.001). Sustained engagement of 80% resulted in significant reductions in systolic blood pressure (-7.75±12.56, P=<0.001) and weight (-3.73±4.01 kg, P<0.001) for programme completers, contributing to hypertension category change (-0.58±0.64 mm Hg, P<0.001). Mobile delivery of a lifestyle intervention for hypertension prevention showed short-term potential to reduce risk of hypertension, supporting the need for longer studies to investigate the use of mHealth lifestyle modification to reduce the risk of hypertension, a public health priority.

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Year:  2017        PMID: 28972573     DOI: 10.1038/jhh.2017.69

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  24 in total

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Authors:  Xavier Pi-Sunyer
Journal:  Curr Nutr Rep       Date:  2014-12

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Journal:  Hypertension       Date:  2010-05-03       Impact factor: 10.190

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6.  Translating the Diabetes Prevention Program into an Online Social Network: Validation against CDC Standards.

Authors:  S Cameron Sepah; Luohua Jiang; Anne L Peters
Journal:  Diabetes Educ       Date:  2014-04-10       Impact factor: 2.140

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Authors:  Andreas Michaelides; Christine Raby; Meghan Wood; Kit Farr; Tatiana Toro-Ramos
Journal:  BMJ Open Diabetes Res Care       Date:  2016-09-05
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  14 in total

Review 1.  The Potential of mHealth Applications in Improving Resistant Hypertension Self-Assessment, Treatment and Control.

Authors:  Karla Santo; Julie Redfern
Journal:  Curr Hypertens Rep       Date:  2019-10-09       Impact factor: 5.369

2.  A Machine-Learning Based Approach for Predicting Older Adults' Adherence to Technology-Based Cognitive Training.

Authors:  Zhe He; Shubo Tian; Ankita Singh; Shayok Chakraborty; Shenghao Zhang; Mia Liza A Lustria; Neil Charness; Nelson A Roque; Erin R Harrell; Walter R Boot
Journal:  Inf Process Manag       Date:  2022-07-21       Impact factor: 7.466

3.  Our Whole Lives for Hypertension and Cardiac Risk Factors-Combining a Teaching Kitchen Group Visit With a Web-Based Platform: Feasibility Trial.

Authors:  Diana Rinker; Paula Gardiner; Lisa McGonigal; Ariel Villa; Lara C Kovell; Pallavi Rohela; Andrew Cauley; Barbara Olendzki
Journal:  JMIR Form Res       Date:  2022-05-16

Review 4.  What Works Best to Engage Participants in Mobile App Interventions and e-Health: A Scoping Review.

Authors:  Ingrid Oakley-Girvan; Reem Yunis; Michelle Longmire; Jessey Schwartz Ouillon
Journal:  Telemed J E Health       Date:  2021-10-11       Impact factor: 5.033

5.  Pilot Results of a Digital Hypertension Self-management Program Among Adults With Excess Body Weight: Single-Arm Nonrandomized Trial.

Authors:  Folasade Wilson-Anumudu; Ryan Quan; Christian Cerrada; Jessie Juusola; Cynthia Castro Sweet; Carolyn Bradner Jasik; Michael Turken
Journal:  JMIR Form Res       Date:  2022-03-30

6.  A Comprehensive 6A Framework for Improving Patient Self-Management of Hypertension Using mHealth Services: Qualitative Thematic Analysis.

Authors:  Ting Song; Fang Liu; Ning Deng; Siyu Qian; Tingru Cui; Yingping Guan; Leonard Arnolda; Zhenyu Zhang; Ping Yu
Journal:  J Med Internet Res       Date:  2021-06-21       Impact factor: 5.428

7.  A Mobile Health Coaching Intervention for Controlling Hypertension: Single-Arm Pilot Pre-Post Study.

Authors:  Himali Weerahandi; Soaptarshi Paul; Lisa M Quintiliani; Sara Chokshi; Devin M Mann
Journal:  JMIR Form Res       Date:  2020-05-07

8.  A Remote Intervention to Prevent or Delay Cognitive Impairment in Older Adults: Design, Recruitment, and Baseline Characteristics of the Virtual Cognitive Health (VC Health) Study.

Authors:  Nicholas Bott; Shefali Kumar; Caitlyn Krebs; Jordan M Glenn; Erica N Madero; Jessie L Juusola
Journal:  JMIR Res Protoc       Date:  2018-08-13

9.  A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review.

Authors:  Quynh Pham; Gary Graham; Carme Carrion; Plinio P Morita; Emily Seto; Jennifer N Stinson; Joseph A Cafazzo
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-18       Impact factor: 4.773

10.  Home Blood Pressure Monitoring by a Mobile-Based Model in Chongqing, China: A Feasibility Study.

Authors:  Meng Xiao; Xun Lei; Fan Zhang; Zhenxing Sun; Vanessa Catherine Harris; Xiaojun Tang; Lijing Yan
Journal:  Int J Environ Res Public Health       Date:  2019-09-10       Impact factor: 3.390

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