Literature DB >> 35559648

Understanding Baseline Physical Activity in Cardiac Rehabilitation Enrollees Using Mobile Health Technologies.

Jessica R Golbus1,2, Kashvi Gupta3, Rachel Stevens1, V Swetha Jeganathan1, Evan Luff1, Thomas Boyden4, Bhramar Mukherjee5, Predrag Klasnja6, Sachin Kheterpal1, Sarah Kohnstamm7, Brahmajee K Nallamothu1,2,8.   

Abstract

BACKGROUND: Baseline physical activity in patients when they initiate cardiac rehabilitation is poorly understood. We used mobile health technology to understand baseline physical activity of patients initiating cardiac rehabilitation within a clinical trial to potentially inform personalized care.
METHODS: The VALENTINE (Virtual Application-Supported Environment to Increase Exercise During Cardiac Rehabilitation Study) is a prospective, randomized-controlled, remotely administered trial designed to evaluate a mobile health intervention to supplement cardiac rehabilitation for low- and moderate-risk patients. All participants receive a smartwatch and usual care. Baseline physical activity was assessed remotely after enrollment and included (1) 6-minute walk distance, (2) daily step count, and (3) daily exercise minutes, both over 7 days and for compliant days, defined by >8 hours of watch wear time. Multivariable linear regression identified patient-level features associated with these 3 measures of baseline physical activity.
RESULTS: From October 2020 to March 2022, 220 participants enrolled in the study. Participants are mostly White (184 [83.6%]); 67 (30.5%) are female and 84 (38.2%) are >65 years old. Most participants enrolled in cardiac rehabilitation after percutaneous coronary intervention (105 [47.7%]) or coronary artery bypass surgery (39 [17.7 %]). Clinical diagnoses include coronary artery disease (78.6%), heart failure (17.3%), and valve repair or replacement (26.4%). Baseline mean 6-minute walk distance was 489.6 (SD, 143.4) meters, daily step count was 6845 (SD, 3353), and exercise minutes was 37.5 (SD, 33.5). In a multivariable model, 6-minute walk distance was significantly associated with age and sex, but not cardiac rehabilitation indication. Sex but not age or cardiac rehabilitation indication was significantly associated with daily step count and exercise minutes.
CONCLUSIONS: Baseline physical activity varies substantially in low- and moderate-risk patients enrolled in cardiac rehabilitation. Future studies are warranted to explore whether personalizing cardiac rehabilitation programs using mobile health technologies could optimize recovery. REGISTRATION: URL: https://www. CLINICALTRIALS: gov; Unique identifier: NCT04587882.

Entities:  

Keywords:  cardiac rehabilitation; cardiovascular disease; exercise; mortality; risk; secondary prevention

Mesh:

Year:  2022        PMID: 35559648      PMCID: PMC9308648          DOI: 10.1161/CIRCOUTCOMES.122.009182

Source DB:  PubMed          Journal:  Circ Cardiovasc Qual Outcomes        ISSN: 1941-7713


  20 in total

1.  Automated hovering in health care--watching over the 5000 hours.

Authors:  David A Asch; Ralph W Muller; Kevin G Volpp
Journal:  N Engl J Med       Date:  2012-06-20       Impact factor: 91.245

2.  Association of Cardiac Rehabilitation With All-Cause Mortality Among Patients With Cardiovascular Disease in the Netherlands.

Authors:  Thijs M H Eijsvogels; Martijn F H Maessen; Esmée A Bakker; Esther P Meindersma; Niels van Gorp; Nicole Pijnenburg; Paul D Thompson; Maria T E Hopman
Journal:  JAMA Netw Open       Date:  2020-07-01

3.  Aerobic capacity in patients entering cardiac rehabilitation.

Authors:  Philip A Ades; Patrick D Savage; Clinton A Brawner; Caroline E Lyon; Jonathan K Ehrman; Janice Y Bunn; Steven J Keteyian
Journal:  Circulation       Date:  2006-06-05       Impact factor: 29.690

4.  Gender differences in physical activity following acute myocardial infarction in adults: A prospective, observational study.

Authors:  Karl E Minges; Kelly M Strait; Neville Owen; David W Dunstan; Sarah M Camhi; Judith Lichtman; Mary Geda; Rachel P Dreyer; Héctor Bueno; John F Beltrame; Jeptha P Curtis; Harlan M Krumholz
Journal:  Eur J Prev Cardiol       Date:  2016-11-25       Impact factor: 7.804

5.  Wearable device signals and home blood pressure data across age, sex, race, ethnicity, and clinical phenotypes in the Michigan Predictive Activity & Clinical Trajectories in Health (MIPACT) study: a prospective, community-based observational study.

Authors:  Jessica R Golbus; Nicole A Pescatore; Brahmajee K Nallamothu; Nirav Shah; Sachin Kheterpal
Journal:  Lancet Digit Health       Date:  2021-11

6.  Participation in cardiac rehabilitation, readmissions, and death after acute myocardial infarction.

Authors:  Shannon M Dunlay; Quinn R Pack; Randal J Thomas; Jill M Killian; Véronique L Roger
Journal:  Am J Med       Date:  2014-02-18       Impact factor: 4.965

7.  Depression, Socioeconomic Factors, and Ethnicity as Predictors of Cardiorespiratory Fitness Before and After Cardiac Rehabilitation.

Authors:  Nicolai Mikkelsen; Christian Have Dall; Marianne Frederiksen; Annette Holdgaard; Hanne Rasmusen; Eva Prescott
Journal:  J Cardiopulm Rehabil Prev       Date:  2019-07       Impact factor: 2.081

8.  Outcomes at one-year follow-up of women and men with coronary artery disease discharged from cardiac rehabilitation: what benefits are maintained?

Authors:  Ritesh Gupta; Bonnie K Sanderson; Vera Bittner
Journal:  J Cardiopulm Rehabil Prev       Date:  2007 Jan-Feb       Impact factor: 2.081

9.  Home-Based Cardiac Rehabilitation: A Scientific Statement From the American Association of Cardiovascular and Pulmonary Rehabilitation, the American Heart Association, and the American College of Cardiology.

Authors:  Randal J Thomas; Alexis L Beatty; Theresa M Beckie; LaPrincess C Brewer; Todd M Brown; Daniel E Forman; Barry A Franklin; Steven J Keteyian; Dalane W Kitzman; Judith G Regensteiner; Bonnie K Sanderson; Mary A Whooley
Journal:  J Am Coll Cardiol       Date:  2019-05-13       Impact factor: 24.094

10.  Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support.

Authors:  Inbal Nahum-Shani; Shawna N Smith; Bonnie J Spring; Linda M Collins; Katie Witkiewitz; Ambuj Tewari; Susan A Murphy
Journal:  Ann Behav Med       Date:  2018-05-18
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