Literature DB >> 30049464

Effects of a 12-Week mHealth Program on FunctionalCapacity and Physical Activity in Patients With PeripheralArtery Disease.

Brian D Duscha1, Lucy W Piner2, Mahesh P Patel3, Lawrence E Crawford3, William S Jones3, Manesh R Patel3, William E Kraus4.   

Abstract

Supervised exercise is beneficial for peripheral artery disease (PAD) patients limited by intermittent claudication (IC). However, supervised exercise for PAD remains widely underutilized. Mobile health (mHealth) provides an intermediate solution between supervised and independent home-based exercise. The purpose of this study was to determine the effects on functional capacity and physical activity patterns of a 12-week mHealth program in PAD patients with IC. Twenty patients were randomized into usual care or a 12-week mHealth intervention consisting of patient education, smartphones, and physical activity trackers. Patient education was disseminated through smartphone and a daily exercise prescription was given based on steps per day. Primary outcomes were 12-week changes in peak VO2 and claudication onset time; and changes in physical activity measured by steps per/day and minutes of exercise per/week. mHealth patients significantly increased peak VO2 from 15.2 ± 4.3 to 18.0 ± 4.8 ml/kg/min (20.3 ± 26.4%; p ≤0.05), while usual care did not change from 14.3 ± 5.4 to 14.5 ± 5.7 ml/kg/min (1.0 ± 6.9%; NS). Comparison of these changes resulted in a significant difference between groups (p ≤0.05) for peak VO2. Claudication onset time significantly increased in mHealth (320 ± 226 to 525 ± 252 seconds; ≤ 0.05), while usual care demonstrated a worsening (252 ± 256 to 231 ± 196 seconds; NS). The comparison of these group changes resulted in a significant difference (p ≤0.05). Neither steps per day or minutes of activity reached significant differences between groups. In conclusion, a 12-week mHealth program in PAD patients with IC can improve peak VO2 and claudication onset time; and mHealth interventions represent a promising alternative therapy for those patients who cannot participate in supervised exercise.
Copyright © 2018 Elsevier Inc. All rights reserved.

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Year:  2018        PMID: 30049464     DOI: 10.1016/j.amjcard.2018.05.018

Source DB:  PubMed          Journal:  Am J Cardiol        ISSN: 0002-9149            Impact factor:   2.778


  11 in total

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Review 2.  Mobile Health Interventions and RCTs: Structured Taxonomy and Research Framework.

Authors:  Alan Yang; Neetu Singh; Upkar Varshney
Journal:  J Med Syst       Date:  2022-09-07       Impact factor: 4.920

3.  The role of a clinician amid the rise of mobile health technology.

Authors:  William E Yang; Lochan M Shah; Erin M Spaulding; Jane Wang; Helen Xun; Daniel Weng; Rongzi Shan; Shannon Wongvibulsin; Francoise A Marvel; Seth S Martin
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

4.  Telephone health coaching with exercise monitoring using wearable activity trackers (TeGeCoach) for improving walking impairment in peripheral artery disease: study protocol for a randomised controlled trial and economic evaluation.

Authors:  Farhad Rezvani; Dirk Heider; Martin Härter; Hans-Helmut König; Frank Bienert; Julia Brinkmann; Lutz Herbarth; Edith Kramer; Patrick Steinisch; Frank Freudenstein; René Terhalle; Yvonne Grosse; Susanne Bock; Jacqueline Posselt; Corinna Beutel; Franziska Reif; Florian Kirchhoff; Carolin Neuschwander; Franziska Löffler; Lisa Brunner; Patrick Dickmeis; Thomas Heidenthal; Lara Schmitz; Daniela Patricia Chase; Claudia Seelenmeyer; Mark Dominik Alscher; Uwe Tegtbur; Jörg Dirmaier
Journal:  BMJ Open       Date:  2020-06-04       Impact factor: 2.692

Review 5.  Effectiveness of Mobile Health-Based Exercise Interventions for Patients with Peripheral Artery Disease: Systematic Review and Meta-Analysis.

Authors:  Mihui Kim; Changhwan Kim; Eunkyo Kim; Mona Choi
Journal:  JMIR Mhealth Uhealth       Date:  2021-02-15       Impact factor: 4.773

6.  Satisfaction and Acceptability of Telemonitored Home-Based Exercise in Patients With Intermittent Claudication: Pragmatic Observational Pilot Study.

Authors:  Nils Cornelis; Roselien Buys; Tijl Dewit; Dries Benoit; Jomme Claes; Inge Fourneau; Véronique Cornelissen
Journal:  JMIR Rehabil Assist Technol       Date:  2021-03-22

7.  Distribution of Mobile Health Applications amongst Patients with Symptomatic Peripheral Arterial Disease in Germany: A Cross-Sectional Survey Study.

Authors:  Kastriot Alushi; Irene Hinterseher; Frederik Peters; Ulrich Rother; Moritz S Bischoff; Spyridon Mylonas; Eberhard Grambow; Alexander Gombert; Albert Busch; Daphne Gray; Nikolaos Konstantinou; Konstantinos Stavroulakis; Marco Horn; Hartmut Görtz; Christian Uhl; Hannes Federrath; Hans-Heinrich Trute; Thea Kreutzburg; Christian-Alexander Behrendt
Journal:  J Clin Med       Date:  2022-01-19       Impact factor: 4.241

8.  WalkingPad protocol: a randomized clinical trial of behavioral and motivational intervention added to smartphone-enabled supervised home-based exercise in patients with peripheral arterial disease and intermittent claudication.

Authors:  Ivone Silva; Susana Pedras; Rafaela Oliveira; Carlos Veiga; Hugo Paredes
Journal:  Trials       Date:  2022-04-18       Impact factor: 2.728

Review 9.  Leveraging Machine Learning and Artificial Intelligence to Improve Peripheral Artery Disease Detection, Treatment, and Outcomes.

Authors:  Alyssa M Flores; Falen Demsas; Nicholas J Leeper; Elsie Gyang Ross
Journal:  Circ Res       Date:  2021-06-10       Impact factor: 23.213

10.  "I Must Try Harder": Design Implications for Mobile Apps and Wearables Contributing to Self-Efficacy of Patients With Chronic Conditions.

Authors:  Sharon Wulfovich; Maddalena Fiordelli; Homero Rivas; Waldo Concepcion; Katarzyna Wac
Journal:  Front Psychol       Date:  2019-10-23
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