Yuxuan Zhao, Haiming Yang, Rong Jiao, Yueqing Wang, Meng Xiao, Mingyu Song, Huan Yu, Chunxiao Liao, Yuanjie Pang, Wenjing Gao, Tao Huang, Canqing Yu, Jun Lv, Shengxu Li, Lu Qi, Liming Li, Dianjianyi Sun
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Mediation analyses were performed to estimate the proportional contribution of PhenoAge to the effect of LE8 on mortality risks.</p><p><strong>Results: </strong>A 1-year increment in PhenoAge was associated with a higher risk of all-cause (HR = 1.04 [95% confidence interval, 1.04-1.05]) and cardiovascular (HR = 1.04 [95% confidence interval, 1.04-1.05]) mortality, independent of chronological age, demographic characteristics, and disease history. High level of LE8 (score: 80-100) was associated with a 3.30-year younger PhenoAge. PhenoAge was estimated to mediate 36 and 22% of the effect of LE8 on all-cause and cardiovascular mortality, respectively (all <i>P</i> < 0.001). As for single-metric scores of LE8, PhenoAge mediated 30%, 11%, 9%, and 7% of the effects of the healthy diet, smoking status, blood pressure, and physical activity on all-cause mortality risk, respectively (all <i>P</i> < 0.05).</p><p><strong>Conclusion: </strong>Adherence to LE8 recommendations slows phenotypic aging. 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引用次数: 0
摘要
研究目的本研究旨在探究表型年龄是否能调节健康生活方式对死亡率的保护作用：我们纳入了2005-2010年全国健康与营养调查（三个周期）中有个人表型年龄（PhenoAge）和生命必备8（LE8）评分数据的成年参与者，并链接了截至2019年12月31日的死亡记录。估算了调整后的危险比（HR），以评估 PhenoAge 和 LE8 分数与全因和心血管死亡风险的关联。进行了中介分析，以估算 PhenoAge 对 LE8 对死亡风险影响的比例贡献：结果：PhenoAge 每增加 1 年，全因（HR = 1.04 [95% 置信区间，1.04-1.05]）和心血管（HR = 1.04 [95% 置信区间，1.04-1.05]）死亡风险就会增加，与实际年龄、人口特征和疾病史无关。LE8水平高（80-100分）与PhenoAge年轻3.30岁有关。据估计，LE8 对全因死亡率和心血管死亡率的影响中，年龄分别占 36% 和 22%（均为 P P P 结论）：遵守LE8的建议可延缓表型老化。PhenoAge可以调节LE8对死亡风险的影响。
Phenotypic age mediates effects of Life's Essential 8 on reduced mortality risk in US adults.
Objective: This study aimed to find out whether phenotypic age could mediate the protective effects of a healthy lifestyle on mortality.
Methods: We included adult participants with available data for individual phenotypic age (PhenoAge) and Life's Essential 8 (LE8) scores from the National Health and Nutrition Examination Survey 2005-2010 (three cycles) and linked mortality records until 31 December 2019. Adjusted hazard ratios (HR) were estimated to evaluate the associations of PhenoAge and LE8 scores with all-cause and cardiovascular mortality risk. Mediation analyses were performed to estimate the proportional contribution of PhenoAge to the effect of LE8 on mortality risks.
Results: A 1-year increment in PhenoAge was associated with a higher risk of all-cause (HR = 1.04 [95% confidence interval, 1.04-1.05]) and cardiovascular (HR = 1.04 [95% confidence interval, 1.04-1.05]) mortality, independent of chronological age, demographic characteristics, and disease history. High level of LE8 (score: 80-100) was associated with a 3.30-year younger PhenoAge. PhenoAge was estimated to mediate 36 and 22% of the effect of LE8 on all-cause and cardiovascular mortality, respectively (all P < 0.001). As for single-metric scores of LE8, PhenoAge mediated 30%, 11%, 9%, and 7% of the effects of the healthy diet, smoking status, blood pressure, and physical activity on all-cause mortality risk, respectively (all P < 0.05).
Conclusion: Adherence to LE8 recommendations slows phenotypic aging. PhenoAge could mediate the effect of LE8 on mortality risk.
期刊介绍：
Precision Clinical Medicine (PCM) is an international, peer-reviewed, open access journal that provides timely publication of original research articles, case reports, reviews, editorials, and perspectives across the spectrum of precision medicine. The journal's mission is to deliver new theories, methods, and evidence that enhance disease diagnosis, treatment, prevention, and prognosis, thereby establishing a vital communication platform for clinicians and researchers that has the potential to transform medical practice. PCM encompasses all facets of precision medicine, which involves personalized approaches to diagnosis, treatment, and prevention, tailored to individual patients or patient subgroups based on their unique genetic, phenotypic, or psychosocial profiles. The clinical conditions addressed by the journal include a wide range of areas such as cancer, infectious diseases, inherited diseases, complex diseases, and rare diseases.
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