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.
| Original language | English |
|---|---|
| Pages (from-to) | 370-375 |
| Number of pages | 6 |
| Journal | American Journal of Cardiology |
| Volume | 125 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Feb 2020 |
Funding
We would like to thank all the patients that were willing to share their data with us and making this work possible. Moreover, we would like to thank all students and healthcare professionals for their support in recruitment and data management. Last, we would like to thank the Do CHANGE consortium members (www.do-change.eu). The current study is funded by the European Commission's Horizon 2020 program (grant number: 463735). Authors declare no conflict of interests. For the current project, the Do CHANGE team received funding for Research and Innovation from the European Union. One start-up (Onmi) and two small and medium-sized enterprises (Do Something Different, Docobo Ltd.) are supported financially to develop their products. JW, MW, IA, JPJ, and MH contributed to the conception or design of the work. EB, GG, VR, and MH contributed to the acquisition, analysis, or interpretation of data for the work. EB, GG, and MH drafted the manuscript. EB, GG, JW, MW, VR, IA, JPJ, and MH critically revised the manuscript. All gave approval and agree to be accountable for all aspects of work ensuring integrity and accuracy. Authors declare no conflict of interests. For the current project, the Do CHANGE team received funding for Research and Innovation from the European Union. One start-up (Onmi) and two small and medium-sized enterprises (Do Something Different, Docobo Ltd.) are supported financially to develop their products. The current study is funded by the European Commission's Horizon 2020 program (grant number: 463735 ).
| Funders | Funder number |
|---|---|
| European Union's Horizon 2020 - Research and Innovation Framework Programme | 463735 |
| European Union's Horizon 2020 - Research and Innovation Framework Programme | |
| European Commission |
Keywords
- Adult
- Aged
- Cardiovascular Diseases/epidemiology
- Equipment Design
- Exercise/physiology
- Female
- Fitness Trackers
- Humans
- Incidence
- Life Style
- Male
- Middle Aged
- Monitoring, Physiologic/instrumentation
- Netherlands/epidemiology
- Prognosis
- Spain/epidemiology
- Survival Rate/trends
