| Title: | Life's Essential 8-Defined Cardiovascular Health and Mortality Risk in Cardiovascular-Kidney-Metabolic Health Stages 0-4: A Cohort Study |
| Journal: | Journal of Epidemiology and Global Health |
| Published: | 21 May 2026 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/42168678/ |
| DOI: | https://doi.org/10.1007/s44197-026-00590-3 |
Publication 19956
WARNING: the interactive features of this website use CSS3, which your browser does not support. To use the full features of this website, please update your browser.
Abstract
BackgroundCardiovascular-kidney-metabolic (CKM) syndrome represents a primary contributor to global morbidity and mortality. Despite the Life's Essential 8 framework offering a comprehensive assessment of cardiovascular health (CVH), its prognostic utility in CKM syndrome remains unclear. This study aimed to investigate the association between Life's Essential 8-defined CVH and mortality risk in CKM health stages 0-4.MethodsData were analyzed from 302,171 UK Biobank participants in CKM health stages 0-4. CVH scores were calculated based on eight components: diet, physical activity, nicotine exposure, sleep health, body mass index, blood lipids, blood glucose, and blood pressure. All-cause and cardiovascular disease (CVD) mortality were ascertained through linked health records. Cox proportional hazards models were employed to examine associations between CVH scores and mortality risks. The predictive factors for mortality risk were explored using the gradient boosting machines method.ResultsOver a median follow-up of 12.7 years, 20,282 all-cause and 3,979 CVD deaths occurred. Compared with low CVH, high CVH was associated with 55% (95% confidence interval (CI): 0.42-0.49) and 67% (95% CI: 0.27-0.41) reductions in all-cause and CVD mortality. The inverse association of CVH scores with CVD mortality was stronger in non-advanced stages (Pfor interaction = 0.002). Restricted cubic spline analysis revealed a significant nonlinear association for all-cause mortality (Pfor nonlinear < 0.001), but not for CVD mortality (Pfor nonlinear = 0.936). Machine learning analysis indicated that among the eight components, nicotine exposure and blood glucose scores had the highest relative influence on mortality prediction.ConclusionsHigher CVH scores were associated with lower mortality risk in CKM health stages 0-4, with stronger associations observed in non-advanced stages. Among the eight components, nicotine exposure and blood glucose scores showed stable and strong associations with mortality. These findings support the potential value of CVH assessment for risk stratification across CKM health stages.</p>
9 Authors
- Ruiyang Niu
- Qiqi You
- Wan Fu
- Lingqi Wei
- Jingjing Zeng
- Yanyan Jia
- Xinyi Zhang
- Xiaoying Li
- Shaoyong Xu
1 Application
| Application ID | Title |
|---|---|
| 92014 | Associations of Combined Genetic and Lifestyle Risks With Incident Cardiovascular Disease and Cancers |
Enabling scientific discoveries that improve human health