Tea consumption and attenuation of biological aging: a longitudinal analysis from two cohort studies
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- Yi Xiang, Hao Xu, Hongxiang Chen, Dan Tang, Zitong Huang, Yuan Zhang, Zhenghong Wang, Ziyun Wang, Yangla, Mingming Han, Jianzhong Yin, Xiong Xiao, Xing Zhao
- Journal
- The Lancet Regional Health - Western Pacific
- Year
- 2023
- Citations
- 54
Abstract
Background: The biological aging process can be modified through lifestyle interventions to prevent age-related diseases and extend healthspan. However, evidence from population-based studies on whether tea consumption could delay the biological aging process in humans remains limited. Methods: This study included 7931 participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC) Study and 5998 participants aged 37-73 years from the UK Biobank (UKB) who participated in both the baseline and first follow-up surveys. Tea consumption information was collected through questionnaires. Biological age (BA) acceleration was calculated using clinical biomarkers and anthropometric measurements based on the Klemera Doubal method (KDM). Change-to-change analyses were performed to estimate the associations between changes in tea consumption status and changes in BA acceleration using multiple linear models. Follow-up adjusted for baseline analyses were further conducted to examine the prospective exposure-response relationship between tea consumption and BA acceleration among individuals with constant tea consumption status. Findings: : -0.831 to 0.297 years) compared to consistent nondrinking. Even stronger associations were found in consistent tea drinkers. The exposure-response relationship suggested that consuming around 3 cups of tea or 6-8 g of tea leaves per day may offer the most evident anti-aging benefits. Interpretation: Tea consumption was associated with attenuated BA acceleration measured by KDM, especially for consistent tea drinkers with moderate consumption. Our findings highlight the potential role of tea in developing nutrition-oriented anti-aging interventions and guiding healthy aging policies. Funding: National Natural Science Foundation of China (Grant No. 82273740).