ArticleFrontiers in public health2024
Better Life's Essential 8 contributes to slowing the biological aging process: a cross-sectional study based on NHANES 2007-2010 data.
Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Aging and increased cancer risk: exploring the potential of LE8 score to mitigate risk.npj aging · 2026Article
- DNA methylation signatures of Life's Essential 8 and their implications for dementia.Alzheimer's research & therapy · 2025Article
- Super Movers: Epidemiology and Biology of a Novel Exceptional Aging Phenotype.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025Article
- Understanding the Relationship between Sleep Quality and Physical Activity: Implications for Healthy Aging.Iranian journal of public health · 2024Article
- Dose response of leisure time physical activity and biological aging in type 2 diabetes: a cross sectional study.Scientific reports · 2024Article
- Association between cardiometabolic index and biological aging in the US population: evidence from NHANES 2015-2020.Frontiers in aging neuroscience · 2024Article
- Association between the Planetary Health Diet Index and biological aging among the U.S. population.Frontiers in public health · 2024Article
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Authors and funding
8 authors.
Funding
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Abstract
Objective: To investigate the relationship between Life's Essential 8 (LE8) and Phenotypic Age Acceleration (PhenoAgeAccel) in United States adults and to explore the impact of LE8 on phenotypic biological aging, thereby providing references for public health policies and health education. Methods: Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 2007 and 2010, this cross-sectional study analyzed 7,339 adults aged 20 and above. Comprehensive assessments of LE8, PhenoAgeAccel, and research covariates were achieved through the integration of Demographics Data, Dietary Data, Laboratory Data, and Questionnaire Data derived from NHANES. Weighted generalized linear regression models and restricted cubic spline plots were employed to analyze the linear and non-linear associations between LE8 and PhenoAgeAccel, along with gender subgroup analysis and interaction effect testing. Results: (1) Dividing the 2007-2010 NHANES cohort into quartiles based on LE8 unveiled significant disparities in age, gender, race, body mass index, education level, marital status, poverty-income ratio, smoking and drinking statuses, diabetes, hypertension, hyperlipidemia, phenotypic age, PhenoAgeAccel, and various biological markers ( Conclusion: This study, based on NHANES data from 2007-2010, has revealed a significant negative correlation between LE8 and PhenoAgeAccel, emphasizing the importance of maintaining a healthy lifestyle in slowing down the biological aging process. Despite the limitations posed by the study's design and geographical constraints, these findings provide a scientific basis for the development of public health policies focused on healthy lifestyle practices. Future research should further investigate the causal mechanisms underlying the relationship between LE8 and PhenoAgeAccel and consider cross-cultural comparisons to enhance our understanding of healthy aging.
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