Achieving Cardiovascular Risk Management Goals and Patient Quality of Life.
Agata Kosobucka-OzdobaLukasz PietrzykowskiPiotr MichalskiJakub RatajczakKlaudyna GrzelakowskaMichał KasprzakPaul A GurbelAldona KubicaPublished in: Journal of cardiovascular development and disease (2024)
(1) Background: Eliminating or reducing the severity of modifiable risk factors of cardiovascular disease (CVD) and undertaking health-promoting behaviors is the basis for prevention. (2) Methods: This study included 200 subjects without a history of CVD, aged 18 to 80 years, who had been diagnosed with hypertension, hypercholesterolemia, or diabetes 6 to 24 months before study enrolment. (3) Results: The median 10-year CV risk assessed by the SCORE2 and SCORE2-OP algorithms was 3.0 (IQR 1.5-7.0). An increase in mean cardiovascular risk in the range from low and moderate to very high was associated with a decrease in quality of life both in individual subscales and the overall score. The median number of controlled risk factors was 4.0 (IQR 3.0-5.0). As the mean number of controlled risk factors increased, the quality of life improved in both of HeartQoL questionnaire subscales (emotional p = 0.0018; physical p = 0.0004) and the overall score (global p = 0.0001). The median number of reported health-promoting behaviors undertaken within 3 years before study enrolment was 3.0 (IQR 2.0-4.0). The highest quality of life in each of the studied dimensions was found in people who reported undertaking three health-promoting behaviors. (4) Conclusions: Controlling CVD risk factors and undertaking health-promoting behaviors has a positive impact on the quality of life of patients without a history of atherosclerotic CVD.
Keyphrases
- risk factors
- cardiovascular disease
- healthcare
- public health
- mental health
- health information
- end stage renal disease
- machine learning
- chronic kidney disease
- physical activity
- health insurance
- insulin resistance
- risk assessment
- social media
- skeletal muscle
- metabolic syndrome
- cross sectional
- high intensity
- peritoneal dialysis
- deep learning
- patient reported outcomes
- patient reported