Nanjing University of Chinese Medicine, Nanjing, China; Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China.
Nanjing University of Chinese Medicine, Nanjing, China.
J Nutr Health Aging. 2024 Sep;28(9):100323. doi: 10.1016/j.jnha.2024.100323. Epub 2024 Jul 26.
Obesity correlates with accelerated aging. This study aims to investigate the association between the visceral adiposity index (VAI) and accelerated aging.
Biological aging was evaluated by phenotypic age acceleration (PhenoAgeAccel). Utilizing data from the National Health and Nutrition Examination Survey (NHANES) conducted between 1999 and 2010, we employed weighted multivariable logistic regression models, along with subgroup analysis, to examine the association between VAI and PhenoAgeAccel. Moreover, smooth curve fitting was utilized to identify potential nonlinear association, complemented by a two-piece linear regression model to investigate threshold effects.
Of the included 11,340 participants aged 20 years and older, the mean (95% CI) age was 46.569 (45.946, 47.191) years, and 49.189% were male. The mean (95% CI) VAI for all participants was 2.176 (2.114, 2.238), and the mean (95% CI) PhenoAgeAccel was -6.306 (-6.618, -5.994) years. In the fully adjusted model, each incremental unit increase of VAI was associated with a 0.312-year increase in PhenoAgeAccel (β = 0.312, 95% CI: 0.217, 0.408). This positive association was more statistically significant among individuals with cancer. Furthermore, a segmented association was observed between VAI and PhenoAgeAccel, with a turning point identified at 10.543. Below this threshold, VAI exhibited a positive correlation with PhenoAgeAccel (β = 0.617, 95% CI: 0.499, 0.735), while beyond it, the association became nonsignificant.
This study demonstrated a positive association between VAI and accelerated aging within a nationally representative population. The findings suggest that controlling adiposity may exert anti-aging effects and help prevent aging-related diseases.
肥胖与加速衰老有关。本研究旨在探讨内脏脂肪指数(VAI)与加速衰老之间的关系。
采用表型年龄加速(PhenoAgeAccel)评估生物年龄。利用 1999 年至 2010 年进行的国家健康和营养检查调查(NHANES)的数据,我们采用加权多变量逻辑回归模型,结合亚组分析,检验 VAI 与 PhenoAgeAccel 之间的关系。此外,我们还使用平滑曲线拟合来识别潜在的非线性关联,并采用两段线性回归模型来研究阈值效应。
在纳入的 11340 名年龄在 20 岁及以上的参与者中,平均(95%置信区间)年龄为 46.569(45.946,47.191)岁,49.189%为男性。所有参与者的平均(95%置信区间)VAI 为 2.176(2.114,2.238),平均(95%置信区间)PhenoAgeAccel 为-6.306(-6.618,-5.994)岁。在完全调整的模型中,VAI 每增加一个单位,PhenoAgeAccel 就会增加 0.312 岁(β=0.312,95%置信区间:0.217,0.408)。这种正相关在患有癌症的个体中更为显著。此外,VAI 和 PhenoAgeAccel 之间存在分段关联,在 10.543 处有一个转折点。在这个阈值以下,VAI 与 PhenoAgeAccel 呈正相关(β=0.617,95%置信区间:0.499,0.735),而在这个阈值以上,相关性变得不显著。
本研究在具有代表性的人群中证实了 VAI 与加速衰老之间存在正相关。研究结果表明,控制肥胖可能会产生抗衰老作用,有助于预防与衰老相关的疾病。