TY - JOUR
T1 - Usefulness of a lifestyle intervention in patients with cardiovascular disease
AU - Broers, E.R.
AU - Gavidia, G.
AU - Wetzels, M.
AU - Ribas, V.
AU - Ayoola, I.
AU - Piera-Jimenez, J.
AU - Widdershoven, J.W.M.G.
AU - Habibovic, M.
N1 - Funding
The current study is funded by the European Commission's Horizon 2020 program (grant number: 463735 ).
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - ANXIETY
KW - CORONARY-HEART-DISEASE
KW - HEALTH
KW - PHYSICAL-ACTIVITY
KW - SERVICE
UR - http://www.scopus.com/inward/record.url?scp=85075956334&partnerID=8YFLogxK
U2 - 10.1016/j.amjcard.2019.10.041
DO - 10.1016/j.amjcard.2019.10.041
M3 - Article
VL - 125
SP - 370
EP - 375
JO - American Journal of Cardiology
JF - American Journal of Cardiology
SN - 0002-9149
IS - 3
ER -