Introduction:
We sought to determine the association of CV health at younger ages with the proportion of life lived free of morbidity, the cumulative burden of morbidity, and average healthcare costs at older ages.
Methods:
The Chicago Heart Association (CHA) study is a longitudinal cohort of employed men and women aged 18-59 years at baseline exam in 1967-1973. Baseline risk factor levels included blood pressure, cholesterol, diabetes, BMI and smoking. Individuals were classified into one of four strata: favorable levels of all factors, 0 factors high but 1+ elevated, 1 high, and ≥2 high risk factors. Linked CMS/NDI data from 1984-2010 were used to determine morbidity in older age providing up to 40 years of follow-up. We included participants who were age 65+ between 1984 and 2010 and enrolled in Medicare FFS. All-cause morbidity was defined using the Gagne score. A CV morbidity score was defined as the sum of 4 CVDs including CHD (includes MI), PVD, cerebrovascular disease and CHF.
Results:
We included 25,390 participants (43% female, 90% White, mean age 44 at baseline); 6% had favorable levels, 19% had 1+ risk factors at elevated levels, 40% had 1 high risk factor and 35% had 2+ high risk factors. As compared to those with 2+ high risk factors, favorable CV health had lower levels of all-cause and CV morbidity from age 65-90 years, and a lower cumulative morbidity burden (p<0.001) translating to lower average annual healthcare costs ($15,905 vs $20,791 per year, p<0.001). Favorable CV health postponed the onset of all-cause morbidity by 4.5 years, the onset of CV morbidity by almost 7 years and extended life by almost 4 years resulting in a compression of morbidity on both the absolute and relative scale (see figure).
Conclusion:
Individuals in favorable CV health live a longer, healthier life and a greater proportion of life free of morbidity. These findings provide support for prevention efforts aimed at preserving cardiovascular health and reducing the burden of disease in older ages.
A Descriptive Study to Identify the High-Risk Factors of Pregnancy among Married Women in Selected Areas of Derabassidistrict Mohali Punjab