Literature DB >> 26923067

The Wild Wild West: A Framework to Integrate mHealth Software Applications and Wearables to Support Physical Activity Assessment, Counseling and Interventions for Cardiovascular Disease Risk Reduction.

Felipe Lobelo1, Heval M Kelli2, Sheri Chernetsky Tejedor3, Michael Pratt4, Michael V McConnell5, Seth S Martin6, Gregory J Welk7.   

Abstract

Physical activity (PA) interventions constitute a critical component of cardiovascular disease (CVD) risk reduction programs. Objective mobile health (mHealth) software applications (apps) and wearable activity monitors (WAMs) can advance both assessment and integration of PA counseling in clinical settings and support community-based PA interventions. The use of mHealth technology for CVD risk reduction is promising, but integration into routine clinical care and population health management has proven challenging. The increasing diversity of available technologies and the lack of a comprehensive guiding framework are key barriers for standardizing data collection and integration. This paper reviews the validity, utility and feasibility of implementing mHealth technology in clinical settings and proposes an organizational framework to support PA assessment, counseling and referrals to community resources for CVD risk reduction interventions. This integration framework can be adapted to different clinical population needs. It should also be refined as technologies and regulations advance under an evolving health care system landscape in the United States and globally.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Clinical counseling; Mobile health; Physical activity; Population health management

Mesh:

Year:  2016        PMID: 26923067      PMCID: PMC5362162          DOI: 10.1016/j.pcad.2016.02.007

Source DB:  PubMed          Journal:  Prog Cardiovasc Dis        ISSN: 0033-0620            Impact factor:   8.194


  61 in total

1.  Normalization and extraction of interpretable metrics from raw accelerometry data.

Authors:  Jiawei Bai; Bing He; Haochang Shou; Vadim Zipunnikov; Thomas A Glass; Ciprian M Crainiceanu
Journal:  Biostatistics       Date:  2013-09-01       Impact factor: 5.899

2.  Dose response between physical activity and risk of coronary heart disease: a meta-analysis.

Authors:  Jacob Sattelmair; Jeremy Pertman; Eric L Ding; Harold W Kohl; William Haskell; I-Min Lee
Journal:  Circulation       Date:  2011-08-01       Impact factor: 29.690

3.  Exploring digital divides: an examination of eHealth technology use in health information seeking, communication and personal health information management in the USA.

Authors:  Mia Liza A Lustria; Scott Alan Smith; Charles C Hinnant
Journal:  Health Informatics J       Date:  2011-09       Impact factor: 2.681

4.  A message from modern-day healthcare to physical activity and fitness: welcome home!

Authors:  Ross Arena; Robert A Harrington; Jean-Pierre Després
Journal:  Prog Cardiovasc Dis       Date:  2014-11-11       Impact factor: 8.194

5.  Apps of steel: are exercise apps providing consumers with realistic expectations?: a content analysis of exercise apps for presence of behavior change theory.

Authors:  Logan T Cowan; Sarah A Van Wagenen; Brittany A Brown; Riley J Hedin; Yukiko Seino-Stephan; P Cougar Hall; Joshua H West
Journal:  Health Educ Behav       Date:  2012-09-17

Review 6.  A systematic review of reliability and objective criterion-related validity of physical activity questionnaires.

Authors:  Hendrik J F Helmerhorst; Søren Brage; Janet Warren; Herve Besson; Ulf Ekelund
Journal:  Int J Behav Nutr Phys Act       Date:  2012-08-31       Impact factor: 6.457

7.  Randomized Trial of a Fitbit-Based Physical Activity Intervention for Women.

Authors:  Lisa A Cadmus-Bertram; Bess H Marcus; Ruth E Patterson; Barbara A Parker; Brittany L Morey
Journal:  Am J Prev Med       Date:  2015-06-10       Impact factor: 5.043

8.  Security Concerns in Android mHealth Apps.

Authors:  Dongjing He; Muhammad Naveed; Carl A Gunter; Klara Nahrstedt
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

Review 9.  Apps to promote physical activity among adults: a review and content analysis.

Authors:  Anouk Middelweerd; Julia S Mollee; C Natalie van der Wal; Johannes Brug; Saskia J Te Velde
Journal:  Int J Behav Nutr Phys Act       Date:  2014-07-25       Impact factor: 6.457

10.  Health App Use Among US Mobile Phone Owners: A National Survey.

Authors:  Paul Krebs; Dustin T Duncan
Journal:  JMIR Mhealth Uhealth       Date:  2015-11-04       Impact factor: 4.773

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  33 in total

1.  The Need for Local, Multidisciplinary Collaborations to Promote Advances in Physical Activity Research and Policy Change: The Creation of the Boston Physical Activity Resource Collaborative (BPARC).

Authors:  Rachel A Millstein; Nicolas M Oreskovic; Lisa M Quintiliani; Peter James; Stephen Intille
Journal:  J Phys Act Res       Date:  2018

Review 2.  Harnessing mHealth technologies to increase physical activity and prevent cardiovascular disease.

Authors:  David I Feldman; W Theodore Robison; Justin M Pacor; Luke C Caddell; Erica B Feldman; Rachel L Deitz; Theodore Feldman; Seth S Martin; Khurram Nasir; Michael J Blaha
Journal:  Clin Cardiol       Date:  2018-07-20       Impact factor: 2.882

Review 3.  Patient Use of Cardiovascular Devices and Apps: Are We Getting Our Money's Worth?

Authors:  Kimberly Aguillard; Arthur Garson
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

4.  Perspective: Opportunities and Challenges of Technology Tools in Dietary and Activity Assessment: Bridging Stakeholder Viewpoints.

Authors:  Sai Krupa Das; Akari J Miki; Caroline M Blanchard; Edward Sazonov; Cheryl H Gilhooly; Sujit Dey; Colton B Wolk; Chor San H Khoo; James O Hill; Robin P Shook
Journal:  Adv Nutr       Date:  2022-02-01       Impact factor: 11.567

5.  Multi Agent Architecture for Automated Health Coaching.

Authors:  Ajith Vemuri; Keith Decker; Mathew Saponaro; Gregory Dominick
Journal:  J Med Syst       Date:  2021-09-25       Impact factor: 4.920

6.  Adopting wearables to customize health insurance contributions: a ranking-type Delphi.

Authors:  Daniel Neumann; Victor Tiberius; Florin Biendarra
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-27       Impact factor: 3.298

7.  PatientDataChain: A Blockchain-Based Approach to Integrate Personal Health Records.

Authors:  Alexandra Cernian; Bogdan Tiganoaia; Ioan Sacala; Adrian Pavel; Alin Iftemi
Journal:  Sensors (Basel)       Date:  2020-11-16       Impact factor: 3.576

8.  Comparing Methods to Identify Wear-Time Intervals for Physical Activity With the Fitbit Charge 2.

Authors:  Sophie E Claudel; Kosuke Tamura; James Troendle; Marcus R Andrews; Joniqua N Ceasar; Valerie M Mitchell; Nithya Vijayakumar; Tiffany M Powell-Wiley
Journal:  J Aging Phys Act       Date:  2020-12-16       Impact factor: 1.961

Review 9.  Returning Cardiac Rhythm Data to Patients: Opportunities and Challenges.

Authors:  Ruth Masterson Creber; Meghan Reading Turchioe
Journal:  Card Electrophysiol Clin       Date:  2021-07-02

Review 10.  Mobile Health Applications, Cancer Survivors, and Lifestyle Modification: An Integrative Review.

Authors:  Marjorie M Kelley; Jennifer Kue; Lynne Brophy; Andrea L Peabody; Randi E Foraker; Po-Yin Yen; Sharon Tucker
Journal:  Comput Inform Nurs       Date:  2021-06-02       Impact factor: 2.146

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