Background: Ideal cardiovascular health (CVH) can be assessed by 7 metrics: smoking, body mass index, physical activity, diet, hypertension, dyslipidemia and diabetes, proposed by the American Heart Association. We examined the association of ideal CVH metrics with risk of all-cause, CVD and non-CVD death in a large cohort.
Methods: A total of 29,557 participants in the Swedish National March Cohort were included in this study. We ascertained 3,799 deaths during a median follow-up of 19 years. Cox regression models were used to estimate hazard ratios with 95% confidence intervals (95% CIs) of the association between CVH metrics with risk of death. Laplace regression was used to estimate 25th, 50th and 75th percentiles of age at death.
Results: Compared with those having 6-7 ideal CVH metrics, participants with 0-2 ideal metrics had 107% (95% CI = 46-192%) excess risk of all-cause, 224% (95% CI = 72-509%) excess risk of CVD and 108% (31-231%) excess risk of non-CVD death. The median age at death among those with 6-7 vs. 0-2 ideal metrics was extended by 4.2 years for all-causes, 5.8 years for CVD and 2.9 years for non-CVD, respectively. The observed associations were stronger among females than males.
Conclusions: The strong inverse association between number of ideal CVH metrics and risk of death supports the application of the proposed seven metrics for individual risk assessment and general health promotion.
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http://dx.doi.org/10.1186/s12889-024-17885-4 | DOI Listing |
Minerva Urol Nephrol
January 2025
Department of Urology, The Second Affiliated Hospital of Shantou University Medical College, Shantou, China -
Background: The rising incidence of kidney stones underscores the imperative to devise effective preventive measures. While a robust association between cardiovascular disease (CVD) and kidney stones exists, the current research landscape lacks investigations between cardiovascular health (CVH) and kidney stones. This study aims to explore the association between CVH, assessed by Life's Essential 8 (LE8), and kidney stones, with the role of blood lipids and insulin resistance in this relationship.
View Article and Find Full Text PDFFront Cardiovasc Med
December 2024
Department of Rhinology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Objective: To investigate the association between cardiovascular health (CVH) and obstructive sleep apnea (OSA) within the U.S. population.
View Article and Find Full Text PDFBackground: It is essential to understand factors influencing young adult cardiovascular health (CVH) to reduce morbidity and mortality.
Objective: Evaluate longitudinal changes in CVH among young adults in a weight management intervention.
Methods: Life's Essential 8 (LE8) metrics were calculated for young adults with overweight and obesity enrolled in a randomized controlled trial (n = 459).
Background: Cardiovascular health (CVH) assessment may have important benefits for adults with chronic diseases to prevent incident cardiovascular disease and additional chronic conditions. Few studies have compared CVH in adults with chronic diseases and healthy adults without chronic disease using the American Heart Association's (AHA's) Life's Essential 8 (LE8) metrics.
Methods And Results: We used National Health and Nutrition Examination Survey data from 2013 to 2018 to identify the presence of 16 chronic diseases by participant self-report of diagnosis.
J Am Heart Assoc
January 2025
Department of Maternal and Child Health School of Public Health, Sun Yat-sen University Guangzhou China.
Background: We evaluated the effects of a national school-based lifestyle intervention program against childhood obesity on improving cardiovascular health (CVH), assessed using the recently introduced Life's Essential 8 metric framework.
Methods And Results: Our post hoc analysis of the national school-based lifestyle intervention targeting diet and physical activity included 94 schools with eligible students aged 7 to 17 years (intervention group n=30 629; control group n=26 581). We assessed CVH metrics by individual scores for 4 health behaviors (diet, physical activity, nicotine exposure, and body mass index) and 3 health factors (blood lipids, glucose, and pressure).
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