Abstract P006: Ideal Cardiovascular Health is Associated With Self-Rated Health Status. The Polish-Norwegian Study (PONS)
Introduction: The current status of ideal cardiovascular (CV) health in Eastern and Central Europe is not well characterized. In addition, the association of self-rated health with ideal CV health has not been fully explored.
Hypothesis: we investigated whether ideal CV health is associated with self-reported health status in a community-based study from Poland.
Methods: We used cross-sectional, baseline data of 10858 participants, age 45 to 64 years free of CV diseases in an ongoing cohort study (PONS). Data were collected through structured questionnaires and fasting blood samples. Ideal CV health was defined according to the American Heart Association criteria (7 metrics assessed at 3 levels: ideal, intermediate, and poor). A single-item of self-rated health was recorded on a scale from 1 to 10. The rating was analyzed as a continuous, ordinal and dichotomous variable (cut-off point of 3).
Results: Only 0.03% of the study population had ideal values for all 7 metrics (ideal CV health) (Table). The ideal metrics with highest and lowest prevalence were current non-smoking status (78.79%) and diet (0.52%). Higher prevalence of ideal metrics was observed among women, urban residents, and those higher educated.
The mean ideal cardiovascular score for the entire sample population was 2.94 (SD=1.15). Adjusting for age, sex and education, those with the lowest and highest self-rated health had mean ideal CV scores of 2.73 (95% CI 2.62 to 2.83) and 3.14 (95% CI 3.07 to 3.21) respectively. Participants with the lowest self-rated health were less likely to have an ideal cardiovascular score above 3 (OR 0.34, 95 % CI 0.13 to 0.86) compared to those with the highest health rating.
Conclusion: In this community-based study, ideal CV health was present in very few participants. Our results suggest that there is an association between self-rated health status and ideal CV score. If self-rated health association with health outcomes is confirmed, it may serve as a proxy for identifying risk groups and tailoring public health interventions.
Author Disclosures: M. Manczuk: None. G. Vaidean: None. R. Vedanthan: None. P. Boffetta: None. W.A. Zatonski: None.
- © 2015 by American Heart Association, Inc.