BACKGROUND AND AIMS: Cardiovascular health (CVH), as many other aspects of health, is socially patterned. However, little is known about the socioeconomic determinants of following a more or less favourable pattern of CVH change at midlife.
METHODS: We used data on 11,049 participants in the Atherosclerosis Risk in Communities (ARIC) study, a prospective, population-based, bi-racial cohort that included participants aged 44-66 years in 1987-1989, who attended a second visit 6 years later. At both visits, CVH was assessed with the American Heart Association's Life's Simple 7 (LS7) score ranging 0-14, based on 7 metrics: cholesterol, blood glucose, blood pressure, smoking, body mass index, physical activity, and diet. An LS7 score ≥8 was considered ideal, <8 was considered poor. Multivariable logistic regression models were used. In a first sample (N = 4416) of participants who started with a poor CVH, we modelled odds of improvement (Poor-Ideal vs. Poor-Poor). In a second sample (N = 6633) with baseline ideal CVH, we modelled odds of deterioration (Ideal-Poor vs. Ideal-Ideal). The determinants considered were baseline age, sex, race, educational level, income and working status.
RESULTS: The majority (8,347, 75.5%) of participants remained in the same CVH category at both waves: 28.7% poor-poor, and 46.8% ideal-ideal. The remaining 24.5% were evenly split between improving (11.2%) and deteriorating (13.2%). Compared to poor-poor CVH, older participants displayed higher odds of improving to ideal CVH (OR < = 1.41; 95% CI:1.17, 1.69), whereas Black race (vs White, OR = 0.68; 0.57, 0.80), low education (vs high, OR = 0.65; 0.53, 0.79) and low income (vs high, OR = 0.71; 0.57, 0.87)) were associated with lower odds of improvement. Compared to ideal-ideal CVH, Black participants (OR = 1.59; 1.33, 1.89), with low education (OR = 1.98; 1.64, 2.39), low income (OR = 1.57; 1.30, 1.88), and non-working (vs currently working, OR = 1.27; 1.06, 1.51) had greater odds of deterioration to poor CVH. >58y vs50y
CONCLUSIONS: We identified vulnerable groups at higher risk of worsening their CVH over time: Black people, with low income, low education, and who are unemployed. Efforts to reduce income and educational gaps and address structural racism, which shapes the distribution of health-promoting and health-harming resources, are paramount to reduce inequities in CVH.
