总抗氧化能力与表型年龄加速之间的l型联系:来自NHANES 2003-2010的证据。

IF 4.4 4区 医学 Q1 GERIATRICS & GERONTOLOGY
Yukun Wu, Mengxiang Xiang, Yangcheng Zhao, Yu Zhang, Wenxiang Cheng, Jiangbei Deng
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引用次数: 0

摘要

本研究旨在研究总抗氧化能力(TAC)与表型年龄加速(PhenoAgeAccel)之间的关系,表型年龄加速是一种加速生物衰老的指标,使用的数据来自国家健康和营养检查调查(NHANES)。研究人员分析了2003-2010年NHANES调查的数据,其中包括16395名参与者。采用主成分分析(PCA)对数据进行降维处理。采用多变量logistic回归模型评估TAC与抗氧化维生素(α-胡萝卜素、β-胡萝卜素、β-隐黄质、番茄红素、叶黄素-玉米黄质、维生素A、维生素C、维生素E)与PhenoAgeAccel之间的关系,并对人口统计学、生活方式和临床因素进行调整。通过光滑曲线拟合和阈值效应分析,探讨对数变换TAC与PhenoAgeAccel之间的非线性关系。进行亚组分析以评估基于年龄、性别、种族、教育程度、吸烟、饮酒、糖尿病、高血压和高脂血症的潜在影响因素。原始变量之间的弱相关性使PCA无法有效地捕获数据中的主要变异性。在未调整和调整的模型中,较高的TAC与PhenoAgeAccel呈显著负相关。与第一分位数(T1)相比,TAC第二分位数(T2)的参与者表现出11%的表型加速几率低(OR = 0.89, 95% CI: 0.81-0.98, P = 0.0176)。摄入几种抗氧化维生素,包括α-胡萝卜素、β-胡萝卜素、叶黄素-玉米黄质、维生素A、维生素C和维生素E,也与PhenoAgeAccel的几率呈负相关。对数变换TAC与PhenoAgeAccel之间存在非线性关系,在TAC的特定范围内具有显著的保护作用。亚组分析显示,除性别、吸烟和饮酒外,大多数因素没有显著的影响。TAC与PhenoAgeAccel密切相关。观察到一种非线性关系,较高的TAC在特定范围内表现出显著的保护作用,特别是在男性、吸烟者和饮酒者中。这些发现强调了TAC在减缓衰老过程中的潜在价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The L-shaped link between total antioxidant capacity and phenotypic age acceleration: evidence from NHANES 2003-2010.

This study aimed to investigate the relationship between total antioxidant capacity (TAC) and phenotypic age acceleration (PhenoAgeAccel), a measure of accelerated biological aging, using data from the National Health and Nutrition Examination Survey (NHANES). Data from the 2003-2010 NHANES surveys, encompassing 16,395 participants, were analyzed. Principal component analysis (PCA) was used to reduce data dimensionality. Multivariate logistic regression models were employed to evaluate the association between TAC and antioxidant vitamins (α-carotene, β-carotene, β-cryptoxanthin, lycopene, lutein-zeaxanthin, vitamin A, vitamin C, vitamin E) with PhenoAgeAccel, adjusting for demographic, lifestyle, and clinical factors. Smoothed curve fitting and threshold effects analysis were conducted to explore the nonlinear relationship between log-transformed TAC and PhenoAgeAccel. Subgroup analyses were performed to assess potential effect modifiers based on age, gender, race, education, smoking, alcohol use, diabetes, hypertension, and hyperlipidemia. The weak correlations between the original variables prevent PCA from effectively capturing the primary variability within the data. Higher TAC was significantly inversely associated with PhenoAgeAccel in both unadjusted and adjusted models. Participants in the second tertile (T2) of TAC exhibited 11% lower odds of PhenoAgeAccel compared to those in the first tertile (T1) (OR = 0.89, 95% CI: 0.81-0.98, P = 0.0176). Intake of several antioxidant vitamins, including α-carotene, β-carotene, lutein-zeaxanthin, vitamin A, vitamin C, and vitamin E, was also inversely associated with the odds of PhenoAgeAccel. A nonlinear relationship between log-transformed TAC and PhenoAgeAccel was observed, with a significant protective effect within a specific range of TAC. Subgroup analyses revealed no significant effect modification by most factors, except for gender, smoking, and alcohol consumption. TAC is closely associated with PhenoAgeAccel. A nonlinear relationship was observed, with higher TAC exhibiting significant protective effects within a specific range, particularly among males, smokers, and alcohol consumer. These findings underscore the potential value of TAC in mitigating the aging process.

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来源期刊
Biogerontology
Biogerontology 医学-老年医学
CiteScore
8.00
自引率
4.40%
发文量
54
审稿时长
>12 weeks
期刊介绍: The journal Biogerontology offers a platform for research which aims primarily at achieving healthy old age accompanied by improved longevity. The focus is on efforts to understand, prevent, cure or minimize age-related impairments. Biogerontology provides a peer-reviewed forum for publishing original research data, new ideas and discussions on modulating the aging process by physical, chemical and biological means, including transgenic and knockout organisms; cell culture systems to develop new approaches and health care products for maintaining or recovering the lost biochemical functions; immunology, autoimmunity and infection in aging; vertebrates, invertebrates, micro-organisms and plants for experimental studies on genetic determinants of aging and longevity; biodemography and theoretical models linking aging and survival kinetics.
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