Department of Big Data in Health Science School of Public Health, and Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China.
Alibaba-Zhejiang University Joint Research Center of Future Digital Healthcare, Hangzhou, Zhejiang, China.
BMC Med. 2023 Aug 17;21(1):310. doi: 10.1186/s12916-023-02974-9.
Aging is a dynamic and heterogeneous process that may better be captured by trajectories of aging biomarkers. Biological age has been advocated as a better biomarker of aging than chronological age, and plant-based dietary patterns have been found to be linked to aging. However, the associations of biological age trajectories with mortality and plant-based dietary patterns remained unclear.
Using group-based trajectory modeling approach, we identified distinctive aging trajectory groups among 12,784 participants based on a recently developed biological aging measure acquired at four-time points within an 8-year period. We then examined associations between aging trajectories and quintiles of plant-based dietary patterns assessed by overall plant-based diet index (PDI), healthful PDI (hPDI), and unhealthful PDI (uPDI) among 10,191 participants who had complete data on dietary intake, using multivariable multinomial logistics regression adjusting for sociodemographic and lifestyles factors. Cox proportional hazards regression models were applied to investigate the association between aging trajectories and all-cause mortality.
We identified three latent classes of accelerated aging trajectories: slow aging, medium-degree, and high-degree accelerated aging trajectories. Participants who had higher PDI or hPDI had lower odds of being in medium-degree (OR = 0.75, 95% CI: 0.65, 0.86 for PDI; OR = 0.73, 95% CI: 0.62, 0.85 for hPDI) or high-degree (OR = 0.63, 95% CI: 0.46, 0.86 for PDI; OR = 0.62, 95% CI: 0.44, 0.88 for hPDI) accelerated aging trajectories. Participants in the highest quintile of uPDI were more likely to be in medium-degree (OR = 1.72, 95% CI: 1.48, 1.99) or high-degree (OR = 1.70, 95% CI: 1.21, 2.38) accelerated aging trajectories. With a mean follow-up time of 8.40 years and 803 (6.28%) participants died by the end of follow-up, we found that participants in medium-degree (HR = 1.56, 95% CI: 1.29, 1.89) or high-degree (HR = 3.72, 95% CI: 2.73, 5.08) accelerated aging trajectory groups had higher risks of death than those in the slow aging trajectory.
We identified three distinctive aging trajectories in a large Asian cohort and found that adopting a plant-based dietary pattern, especially when rich in healthful plant foods, was associated with substantially lowered pace of aging.
衰老是一个动态且异质的过程,通过衰老生物标志物的轨迹可能更好地捕捉到这一过程。生物年龄被认为是比实际年龄更好的衰老标志物,而植物性饮食模式与衰老有关。然而,生物年龄轨迹与死亡率和植物性饮食模式之间的关联仍不清楚。
使用基于群组的轨迹建模方法,我们根据最近开发的一种生物衰老测量方法,在 8 年内的 4 个时间点上,从 12784 名参与者中确定了独特的衰老轨迹组。然后,我们在 10191 名参与者中检查了衰老轨迹与植物性饮食模式五分位数之间的关联,这些参与者的饮食摄入数据完整,使用多变量多项逻辑回归调整了社会人口统计学和生活方式因素。应用 Cox 比例风险回归模型来研究衰老轨迹与全因死亡率之间的关系。
我们确定了三种加速衰老的潜在轨迹:缓慢衰老、中度和高度加速衰老轨迹。PDI 或 hPDI 较高的参与者处于中度(PDI:OR=0.75,95%CI:0.65,0.86;hPDI:OR=0.73,95%CI:0.62,0.85)或高度(PDI:OR=0.63,95%CI:0.46,0.86;hPDI:OR=0.62,95%CI:0.44,0.88)加速衰老轨迹的可能性较低。uPDI 最高五分位的参与者更有可能处于中度(OR=1.72,95%CI:1.48,1.99)或高度(OR=1.70,95%CI:1.21,2.38)加速衰老轨迹。在平均 8.40 年的随访期间,有 803 名(6.28%)参与者在随访结束时死亡,我们发现处于中度(HR=1.56,95%CI:1.29,1.89)或高度(HR=3.72,95%CI:2.73,5.08)加速衰老轨迹组的参与者死亡风险高于缓慢衰老轨迹组。
我们在一个大型亚洲队列中确定了三种不同的衰老轨迹,发现采用植物性饮食模式,特别是富含健康植物性食物的饮食模式,与衰老速度明显降低有关。