Active longevity and aging: dissecting the impacts of physical and sedentary behaviors on longevity and age acceleration.

IF 5.3 2区 医学 Q1 GERIATRICS & GERONTOLOGY GeroScience Pub Date : 2024-09-04 DOI:10.1007/s11357-024-01329-3
Ting Yu Lu, Jiao Wang, Chao Qiang Jiang, Ya Li Jin, Kar Keung Cheng, Tai Hing Lam, Wei Sen Zhang, Lin Xu
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Abstract

Background: To examine the associations of physical activity (PA) and sedentary behavior (SB) with longevity and age acceleration (AA) using observational and Mendelian randomization (MR) studies, and quantify the mediating effects of lipids.

Methods: In Guangzhou Biobank Cohort Study (GBCS), PA and SB were assessed by the Chinese Version of the International Physical Activity Questionnaire. Longevity was defined as participants whose age at follow-up or at death was at or above the 90th age percentile. AA was defined as the residual resulting from a linear model that regressed phenotypic age against chronological age. Linear regression and Poisson regression with robust error variance were used to assess the associations of total and specific PA in different intensities, and SB with AA and longevity, yielding βs or relative risks (RRs) and 95% confidence intervals (CIs). Two-sample MR was conducted to examine the causal effects. Mediation analysis was used to assess the mediating effects of lipids.

Results: Of 20,924 participants aged 50 + years in GBCS, during an average follow-up of 15.0 years, compared with low PA, moderate and high PA were associated with higher likelihood of longevity (RR (95% CI): 1.56 (1.16, 2.11), 1.66 (1.24, 2.21), respectively), and also cross-sectionally associated with lower AA (β (95% CI): -1.43 (-2.41, -0.45), -2.09 (-3.06, -1.11) years, respectively). Higher levels of moderate PA (MPA) were associated with higher likelihood of longevity and lower AA, whereas vigorous PA (VPA) showed opposite effects. The association of PA with longevity observed in GBCS was mediated by low-density lipoprotein cholesterol (LDL-C) by 8.23% (95% CI: 3.58-39.61%), while the association with AA was mediated through LDL-C, triglycerides and total cholesterol by 5.13% (3.94-7.30%), 7.81% (5.98-11.17%), and 3.37% (2.59-4.80%), respectively. Additionally, in two-sample MR, SB was positively associated with AA (β (95% CI): 1.02 (0.67, 1.36) years).

Conclusions: PA showed protective effects on longevity and AA, with the effects being partly mediated through lipids. Conversely, SB had a detrimental impact on AA. MPA was associated with higher likelihood of longevity and reduced AA, whereas VPA showed adverse effects. Our findings reinforce the recommendation of "sit less and move more" to promote healthy longevity, and highlight the potential risks associated with VPA in the elderly.

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积极长寿与衰老:剖析运动和久坐行为对长寿和加速衰老的影响。
背景:通过观察性研究和孟德尔随机研究,探讨体力活动(PA)和久坐行为(SB)与长寿和年龄加速(AA)的关系,并量化血脂的中介效应:方法:在广州生物库队列研究(GBCS)中,采用中文版国际体力活动调查问卷对参与者的体力活动量和体力活动行为进行评估。长寿的定义是随访时或死亡时年龄达到或超过第 90 个年龄百分位数的参与者。AA是指表型年龄与年代年龄线性回归模型的残差。线性回归和带有稳健误差方差的泊松回归用于评估不同强度的总PA和特定PA以及SB与AA和寿命的关系,得出β或相对风险系数(RR)和95%置信区间(CI)。对因果效应进行了双样本 MR 分析。中介分析用于评估血脂的中介效应:在 GBCS 的 20,924 名 50 岁以上的参与者中,在平均 15.0 年的随访期间,与低 PA 相比,中度和高度 PA 与更高的长寿可能性相关(RR (95% CI):分别为 1.56 (1.16, 2.11)、1.66 (1.24, 2.21)),并且横截面上也与更低的 AA 相关(β (95% CI):分别为 -1.43 (-2.41, -0.45), -2.09 (-3.06, -1.11) 年)。较高水平的中度 PA(MPA)与较高的长寿可能性和较低的 AA 有关,而剧烈 PA(VPA)则显示出相反的效果。在 GBCS 中观察到的 PA 与长寿的关系是通过低密度脂蛋白胆固醇(LDL-C)介导的,介导率为 8.23%(95% CI:3.58-39.61%),而与 AA 的关系是通过低密度脂蛋白胆固醇、甘油三酯和总胆固醇介导的,介导率分别为 5.13%(3.94-7.30%)、7.81%(5.98-11.17%)和 3.37%(2.59-4.80%)。此外,在双样本 MR 中,SB 与 AA 呈正相关(β(95% CI):1.02(0.67,1.36)年):结论:PA 对长寿和 AA 有保护作用,其作用部分通过血脂介导。相反,SB 对 AA 有不利影响。MPA与更高的长寿可能性和AA的减少有关,而VPA则显示出不利影响。我们的研究结果加强了 "少坐多动 "以促进健康长寿的建议,并强调了与老年人 VPA 相关的潜在风险。
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来源期刊
GeroScience
GeroScience Medicine-Complementary and Alternative Medicine
CiteScore
10.50
自引率
5.40%
发文量
182
期刊介绍: GeroScience is a bi-monthly, international, peer-reviewed journal that publishes articles related to research in the biology of aging and research on biomedical applications that impact aging. The scope of articles to be considered include evolutionary biology, biophysics, genetics, genomics, proteomics, molecular biology, cell biology, biochemistry, endocrinology, immunology, physiology, pharmacology, neuroscience, and psychology.
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