健康饮食模式与生物衰老的关系:1999-2018 年全国健康与营养状况调查(NHANES)。

IF 4.4 2区 医学 Q1 NUTRITION & DIETETICS Nutrition Journal Pub Date : 2024-09-28 DOI:10.1186/s12937-024-01017-0
Xuanyang Wang, Xuemin Yan, Jia Zhang, Sijia Pan, Ran Li, Licheng Cheng, Xiang Qi, Lin Li, Ying Li
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引用次数: 0

摘要

背景:健康的膳食模式与基于甲基化的生物年龄测量呈负相关,但以往的研究却无法确定它们与通过基于血液化学的临床生物标志物评估的生物衰老之间的关系。我们试图评估 4 种膳食指标与 4 种生物年龄指标之间的关系:在 NHANES 1999-2018 年的 16,666 名参与者中,通过 "dietaryindex "R 软件包计算了 4 个膳食指标[膳食炎症指数(DII)、膳食高血压防治指数(DASH)、替代地中海饮食评分(aMED)和健康饮食指数-2015(HEI-2015)]。利用 12 个血液化学参数计算了 4 个生物年龄指标[稳态失调(HD)、异位负荷(AL)、Klemera-Doubal 法(KDM)和表型年龄(PA)]。采用二项式逻辑回归模型和限制性立方样条(RCS)回归来评估这些关联:结果:所有 4 个膳食指标都与生物年龄加速或减速有显著相关性。与最低 DII 相比,最高 DII 的 HD、AL、KDM 和 PA 加速的几率比(ORs)分别为 1.25(1.08,1.45)、1.29(1.11,1.50)、1.34(1.08,1.65)和 1.61(1.39,1.87)。DASH、aMED和HEI-2015的最高四分位数的多变量调整OR分别为0.85(0.73,0.97)、0.88(0.74,1.04)和0.84(0.74,0.96),HD为0.64(0.54,0.75)、0.61(0.52,0.72)和0.与最低水平相比,AL 为 70(0.59,0.82),KDM 为 0.68(0.54,0.85)、0.62(0.50,0.76)和 0.71(0.58,0.87),PA 为 0.50(0.42,0.59)、0.64(0.54,0.76)和 0.51(0.44,0.58)。这些研究结果得到了最佳拟合剂量-反应曲线的验证。在食用膳食补充剂的参与者中(Pinteraction < 0.05),健康饮食模式对生物衰老的积极影响更为明显。全身免疫炎症指数(SII)和血浆致动脉粥样硬化指数(AIP)被认为参与并介导了这些关联:结论:通过血液化学临床生物标志物评估的生物衰老与饮食质量呈负相关。结论:通过基于血液化学的临床生物标志物评估的生物衰老与饮食质量呈负相关。改善饮食对抗衰老的益处可能在于其减少炎症和降低血脂的能力。
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Associations of healthy eating patterns with biological aging: national health and nutrition examination survey (NHANES) 1999-2018.

Background: Healthy dietary patterns have been negatively associated with methylation-based measures of biological age, yet previous investigations have been unable to establish the relationship between them and biological aging assessed through blood chemistry-based clinical biomarkers. We sought to assess the associations of 4 dietary metrics with 4 measures of biological age.

Methods: Among 16,666 participants in NHANES 1999-2018, 4 dietary metrics [Dietary inflammatory index (DII), Dietary approaches to stop hypertension index (DASH), Alternate mediterranean diet score (aMED), and Healthy eating index-2015 (HEI-2015)] were calculated through the 'dietaryindex' R package. Twelve blood chemistry parameters were utilized to compute 4 indicators of biological age [homeostatic dysregulation (HD), allostatic load (AL), Klemera-Doubal method (KDM), and phenotypic age (PA)]. Binomial logistic regression models and restricted cubic spline (RCS) regression were employed to evaluate the associations.

Results: All 4 dietary metrics were significantly associated with biological age acceleration or deceleration. In comparison to the lowest DII, the odds ratios (ORs) for accelerated HD, AL, KDM, and PA were 1.25 (1.08,1.45), 1.29 (1.11,1.50), 1.34 (1.08,1.65), and 1.61 (1.39,1.87) for the highest. The multivariable-adjusted ORs of the highest quartile of DASH, aMED, and HEI-2015 were 0.85 (0.73,0.97), 0.88 (0.74,1.04), and 0.84 (0.74,0.96) for HD, 0.64 (0.54,0.75), 0.61 (0.52,0.72), and 0.70 (0.59,0.82) for AL, 0.68 (0.54,0.85), 0.62 (0.50,0.76), and 0.71 (0.58,0.87) for KDM, and 0.50 (0.42,0.59), 0.64 (0.54,0.76), and 0.51 (0.44,0.58) for PA when compared with the lowest level. The findings were validated by the best-fitting dose-response curves for the associations. Among participants consuming dietary supplements (Pinteraction < 0.05), the positive effects of a healthy dietary pattern on biological aging were more pronounced. Systemic immune inflammation index (SII) and atherogenic index of plasma (AIP) were identified as being involved in and mediating the associations.

Conclusions: Biological aging assessed through blood chemistry-based clinical biomarkers is negatively associated with diet quality. The anti-aging benefits of improving the diet may be due to its ability to reduce inflammation and lower blood lipids.

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来源期刊
Nutrition Journal
Nutrition Journal NUTRITION & DIETETICS-
CiteScore
9.80
自引率
0.00%
发文量
68
审稿时长
4-8 weeks
期刊介绍: Nutrition Journal publishes surveillance, epidemiologic, and intervention research that sheds light on i) influences (e.g., familial, environmental) on eating patterns; ii) associations between eating patterns and health, and iii) strategies to improve eating patterns among populations. The journal also welcomes manuscripts reporting on the psychometric properties (e.g., validity, reliability) and feasibility of methods (e.g., for assessing dietary intake) for human nutrition research. In addition, study protocols for controlled trials and cohort studies, with an emphasis on methods for assessing dietary exposures and outcomes as well as intervention components, will be considered. Manuscripts that consider eating patterns holistically, as opposed to solely reductionist approaches that focus on specific dietary components in isolation, are encouraged. Also encouraged are papers that take a holistic or systems perspective in attempting to understand possible compensatory and differential effects of nutrition interventions. The journal does not consider animal studies. In addition to the influence of eating patterns for human health, we also invite research providing insights into the environmental sustainability of dietary practices. Again, a holistic perspective is encouraged, for example, through the consideration of how eating patterns might maximize both human and planetary health.
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