Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
Key Laboratory of Trace Elements and Endemic Diseases of National Health and Family Planning Commission, School of Public Health, Health Science Center, Xi'an Jiaotong University, Xi'an, China.
J Nutr Health Aging. 2024 Jun;28(6):100271. doi: 10.1016/j.jnha.2024.100271. Epub 2024 May 28.
Our study aimed to investigate the association of dietary diversity score (DDS), as reflected by five dietary categories, with biological age acceleration.
A cross-sectional study.
This study included 88,039 individuals from the UK Biobank.
Biological age (BA) was assessed using Klemerae-Doubal (KDM) and PhenoAge methods. The difference between BA and chronological age represents the age acceleration (AgeAccel), termed as "KDMAccel" and "PhenoAgeAccel". AgeAccel > 0 indicates faster aging. Generalized linear regression models were performed to assess the associations of DDS with AgeAccel. Similar analyses were performed for the five dietary categories.
After adjusting for multiple variables, DDS was inversely associated with KDMAccel (β= -0.403, 95%CI: -0.492 to -0.314, P < 0.001) and PhenoAgeAccel (β= -0.545, 95%CI: -0.641 to -0.450, P < 0.001). Each 1-point increment in the DDS was associated with a 4.4% lower risk of KDMAccel and a 5.6% lower risk of PhenoAgeAccel. The restricted cubic spline plots demonstrated a non-linear dose-response association between DDS and the risk of AgeAccel. The consumption of grains (β = -0.252, β = -0.197), vegetables (β = -0.044, β = -0.077) and fruits (β = -0.179, β = -0.219) was inversely associated with the two AgeAccel, while meat and protein alternatives (β = 0.091, β = 0.054) had a positive association (All P < 0.001). Stratified analysis revealed stronger accelerated aging effects in males, smokers, and drinkers. A strengthening trend in the association between DDS and AgeAccel as TDI quartiles increased was noted.
This study suggested that food consumption plays a role in aging process, and adherence to a higher diversity dietary is associated with the slowing down of the aging process.
本研究旨在探讨由五类饮食构成的饮食多样性评分(DDS)与生物年龄加速的关系。
横断面研究。
本研究纳入了英国生物库中的 88039 名个体。
采用 Klemera-Doubal(KDM)和 PhenoAge 方法评估生物年龄(BA)。BA 与实际年龄的差值代表年龄加速(AgeAccel),分别称为“KDMAccel”和“PhenoAgeAccel”。AgeAccel > 0 表示衰老更快。采用广义线性回归模型评估 DDS 与 AgeAccel 的相关性。对五类饮食进行了类似的分析。
在校正了多个变量后,DDS 与 KDMAccel(β=-0.403,95%CI:-0.492 至-0.314,P < 0.001)和 PhenoAgeAccel(β=-0.545,95%CI:-0.641 至-0.450,P < 0.001)呈负相关。DDS 每增加 1 分,KDMAccel 的风险降低 4.4%,PhenoAgeAccel 的风险降低 5.6%。受限立方样条图显示 DDS 与 AgeAccel 风险之间存在非线性剂量反应关系。谷物(β=-0.252,β=-0.197)、蔬菜(β=-0.044,β=-0.077)和水果(β=-0.179,β=-0.219)的摄入与两种 AgeAccel 呈负相关,而肉类和蛋白质替代品(β=0.091,β=0.054)则呈正相关(均 P < 0.001)。分层分析显示,男性、吸烟者和饮酒者的加速衰老效应更强。随着 TDI 四分位数的增加,DDS 与 AgeAccel 之间的关联呈增强趋势。
本研究表明,食物摄入与衰老过程有关,较高的饮食多样性与衰老过程的减缓有关。