Usefulness of a Lifestyle Intervention in Patients With Cardiovascular Disease.

Department of Cardiology, St. Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands; Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands.Department of eHealth, Eurecat Technology Center, Barcelona, Spain.Eindhoven University of Technology, Department of Industrial Design, Eindhoven, The Netherlands.Department of eHealth, Eurecat Technology Center, Barcelona, Spain.Eindhoven University of Technology, Department of Industrial Design, Eindhoven, The Netherlands; Onmi, Eindhoven, The Netherlands.Badalona Serveis Assistencials, Badalona, Spain.Department of Cardiology, St. Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands; Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands.Department of Cardiology, St. Elisabeth-TweeSteden Hospital, Tilburg, The Netherlands; Department of Medical and Clinical Psychology, Tilburg University, Tilburg, The Netherlands. Electronic address: m.habibovic@uvt.nl.

The American journal of cardiology. 2020;(3):370-375

Abstract

The importance of modifying lifestyle factors in order to improve prognosis in cardiac patients is well-known. Current study aims to evaluate the effects of a lifestyle intervention on changes in lifestyle- and health data derived from wearable devices. Cardiac patients from Spain (n = 34) and The Netherlands (n = 36) were included in the current analysis. Data were collected for 210 days, using the Fitbit activity tracker, Beddit sleep tracker, Moves app (GPS tracker), and the Careportal home monitoring system. Locally Weighted Error Sum of Squares regression assessed trajectories of outcome variables. Linear Mixed Effects regression analysis was used to find relevant predictors of improvement deterioration of outcome measures. Analysis showed that Number of Steps and Activity Level significantly changed over time (F = 58.21, p < 0.001; F = 6.33, p = 0.01). No significant changes were observed on blood pressure, weight, and sleep efficiency. Secondary analysis revealed that being male was associated with higher activity levels (F = 12.53, p < 0.001) and higher number of steps (F = 8.44, p < 0.01). Secondary analysis revealed demographic (gender, nationality, marital status), clinical (co-morbidities, heart failure), and psychological (anxiety, depression) profiles that were associated with lifestyle measures. In conclusion results showed that physical activity increased over time and that certain subgroups of patients were more likely to have a better lifestyle behaviors based on their demographic, clinical, and psychological profile. This advocates a personalized approach in future studies in order to change lifestyle in cardiac patients.

Methodological quality

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