OBJECTIVE: Ideal cardiovascular health (CVH) could predict a lower risk of developing cardiovascular diseases. This study was conducted to investigate the association between ideal CVH and subclinical atherosclerosis in a population cohort of Chinese adults aged ⪖ 40 years. METHODS: This study was designed as a cross-sectional analysis of 8,395 participants who had complete data at baseline and a prospective analysis of 4,879 participants who had complete data at 4.3 years of follow-up. Ideal CVH metrics were defined according to the American Heart Association. Subclinical atherosclerosis was evaluated by plaques in carotid arteries, carotid intima-media thickness (CIMT), brachial-ankle pulse wave velocity (baPWV), and urinary albumin-to-creatinine ratio (UACR). RESULTS: Both the prevalence and incidence of atherosclerosis measures were found to be decreased with increasing numbers of ideal CVH metrics at baseline (all P values for trend < 0.01). The levels of CIMT and UACR at follow-up showed an inverse and significant association with the numbers of ideal CVH metrics at baseline (both P values for trend < 0.05) but a borderline significant association with baPWV (P for trend = 0.0505). Taking participants with 0-1 ideal metric as reference, we found that participants with 5-6 ideal metrics had significantly lower risks of developing carotid plaques (odds ratio, OR = 0.46; 95% confidence interval, CI 0.27-0.79), increased CIMT (OR = 0.60; 95% CI 0.42-0.84), and increased baPWV (OR = 0.57; 95% CI 0.34-0.97) after full adjustments. A significant interactive effect of age and CVH was detected on CIMT and baPWV progression (both P values for interaction < 0.05). CONCLUSION: The numbers of ideal CVH metrics showed a significant and inverse association with the risk of developing subclinical atherosclerosis in middle-aged and elderly Chinese adults, whereas its dose-response effect was attenuated in individuals aged ≥ 60 years and partially weakened in male participants.
OBJECTIVE: Ideal cardiovascular health (CVH) could predict a lower risk of developing cardiovascular diseases. This study was conducted to investigate the association between ideal CVH and subclinical atherosclerosis in a population cohort of Chinese adults aged ⪖ 40 years. METHODS: This study was designed as a cross-sectional analysis of 8,395 participants who had complete data at baseline and a prospective analysis of 4,879 participants who had complete data at 4.3 years of follow-up. Ideal CVH metrics were defined according to the American Heart Association. Subclinical atherosclerosis was evaluated by plaques in carotid arteries, carotid intima-media thickness (CIMT), brachial-ankle pulse wave velocity (baPWV), and urinary albumin-to-creatinine ratio (UACR). RESULTS: Both the prevalence and incidence of atherosclerosis measures were found to be decreased with increasing numbers of ideal CVH metrics at baseline (all P values for trend < 0.01). The levels of CIMT and UACR at follow-up showed an inverse and significant association with the numbers of ideal CVH metrics at baseline (both P values for trend < 0.05) but a borderline significant association with baPWV (P for trend = 0.0505). Taking participants with 0-1 ideal metric as reference, we found that participants with 5-6 ideal metrics had significantly lower risks of developing carotid plaques (odds ratio, OR = 0.46; 95% confidence interval, CI 0.27-0.79), increased CIMT (OR = 0.60; 95% CI 0.42-0.84), and increased baPWV (OR = 0.57; 95% CI 0.34-0.97) after full adjustments. A significant interactive effect of age and CVH was detected on CIMT and baPWV progression (both P values for interaction < 0.05). CONCLUSION: The numbers of ideal CVH metrics showed a significant and inverse association with the risk of developing subclinical atherosclerosis in middle-aged and elderly Chinese adults, whereas its dose-response effect was attenuated in individuals aged ≥ 60 years and partially weakened in male participants.
Authors: Oluseye Ogunmoroti; Olatokunbo Osibogun; Lena Mathews; Olumuyiwa A Esuruoso; Chiadi E Ndumele; Victor Okunrintemi; Gregory L Burke; Roger S Blumenthal; Matthew J Budoff; Erin D Michos Journal: Circ Cardiovasc Imaging Date: 2022-03-15 Impact factor: 8.589
Authors: Ana María Armas-Padrón; Domingo Hernández; Miriam Sicilia-Sosvilla; Sergio Rodríguez-Bello; María Dolores López-Carmona; Pedro Ruiz-Esteban Journal: BMC Prim Care Date: 2022-09-09