Change in Cardiovascular Health Metrics and Risk for Proteinuria Development: Analysis of a Nationwide Population-Based Database

Abstract

Introduction: Evidence is lacking regarding the association between cardiovascular health (CVH) metrics and the risk for proteinuria. Methods: We performed this observational cohort study including 865,087 participants (median age, 46 years, 60.7% men) with negative proteinuria at the initial health check-up, who underwent repeated health check-ups within 4 years. Ideal CVH metrics included nonsmoking, body mass index <25 kg/m², physical activity at goal, eating breakfast, blood pressure <120/80 mm Hg, fasting plasma glucose <100 mg/dL, and total cholesterol <200 mg/dL. The primary outcome was incident proteinuria, defined as ≥1 + on the urine dipstick test. Results: Participants were categorized as having low CVH metrics defined as having 0–2 ideal CVH metrics (n = 84,439), middle CVH metrics defined as having 3–4 ideal CVH metrics (n = 335,773), and high CVH metrics defined as having 5–7 ideal CVH metrics (n = 444,875). Compared with low CVH metrics, middle CVH metrics (odds ratio (OR): 0.61, 95% CI: 0.59–0.63) and high CVH metrics (OR: 0.45, 95% CI: 0.43–0.46) were associated with a lower risk of proteinuria. The OR of a one-point increase in the ideal number of CVH metrics was 0.83 (95% CI: 0.82–0.83). All CVH metrics components except for ideal total cholesterol were associated with a decreased risk of proteinuria. A one-point improvement in the number of ideal CVH metrics at 1 year after the initial health check-up was associated with a decreased incidence of proteinuria (OR: 0.90, 95% CI: 0.89–0.92). Conclusion: Not only maintaining better CVH metrics but also improving CVH metrics would prevent developing proteinuria in a general population.