PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: During a median follow-up of 1.98 (1.78, 2.16) years in the CMEC and 4.50 (3.92, 5.00) years in the UKB, tea consumption was consistently associated with attenuated BA acceleration in both cohorts. Transitioning from nondrinking to tea-drinking was associated with decreased BA acceleration (CMEC: β = -0.319, 95% CI: -0.620 to -0.017 years; UKB: β = -0.267, 95% CI: -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.
UNASSIGNED: 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.
UNASSIGNED: National Natural Science Foundation of China (Grant No. 82273740).
UNASSIGNED: 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.
UNASSIGNED: During a median follow-up of 1.98 (1.78, 2.16) years in the CMEC and 4.50 (3.92, 5.00) years in the UKB, tea consumption was consistently associated with attenuated BA acceleration in both cohorts. Transitioning from nondrinking to tea-drinking was associated with decreased BA acceleration (CMEC: β = -0.319, 95% CI: -0.620 to -0.017 years; UKB: β = -0.267, 95% CI: -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.
UNASSIGNED: 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.
UNASSIGNED: National Natural Science Foundation of China (Grant No. 82273740).
摘要：
■可以通过生活方式干预来修改生物衰老过程，以预防与年龄有关的疾病并延长健康时间。然而,基于人群的研究中关于茶叶消费是否可以延缓人类生物衰老过程的证据仍然有限。
这项研究包括来自中国多民族队列（CMEC）研究的7931名年龄在30-79岁的参与者和来自英国生物银行（UKB）的5998名年龄在37-73岁的参与者，他们参与了基线和首次随访调查。通过问卷调查收集茶叶消费信息。使用临床生物标志物和基于KlemeraDoubal方法（KDM）的人体测量测量来计算生物年龄（BA）加速度。使用多个线性模型进行变化到变化分析以估计茶消费状态的变化与BA加速度的变化之间的关联。进一步进行基线分析调整后的随访，以检查具有恒定茶消费状态的个体中茶消费和BA加速之间的前瞻性暴露-反应关系。
■在CMEC的1.98（1.78，2.16）年和UKB的4.50（3.92，5.00）年的中位随访期间，在两个队列中，茶的消耗始终与BA加速度减弱相关。从不饮酒过渡到喝茶与BA加速度降低相关（CMEC：β=-0.319，95％CI：-0.620至-0.017年；UKB：β=-0.267，95％CI：-0.831至0.297年）。在一致的饮茶者中发现了更强的关联。暴露-反应关系表明，每天食用约3杯茶或6-8克茶叶可能提供最明显的抗衰老益处。
■茶叶消费与KDM测量的衰减BA加速度相关，特别是对于适量饮茶的人。我们的发现强调了茶在开发以营养为导向的抗衰老干预措施和指导健康衰老政策方面的潜在作用。
■国家自然科学基金（批准号：82273740).
这项研究包括来自中国多民族队列（CMEC）研究的7931名年龄在30-79岁的参与者和来自英国生物银行（UKB）的5998名年龄在37-73岁的参与者，他们参与了基线和首次随访调查。通过问卷调查收集茶叶消费信息。使用临床生物标志物和基于KlemeraDoubal方法（KDM）的人体测量测量来计算生物年龄（BA）加速度。使用多个线性模型进行变化到变化分析以估计茶消费状态的变化与BA加速度的变化之间的关联。进一步进行基线分析调整后的随访，以检查具有恒定茶消费状态的个体中茶消费和BA加速之间的前瞻性暴露-反应关系。
■在CMEC的1.98（1.78，2.16）年和UKB的4.50（3.92，5.00）年的中位随访期间，在两个队列中，茶的消耗始终与BA加速度减弱相关。从不饮酒过渡到喝茶与BA加速度降低相关（CMEC：β=-0.319，95％CI：-0.620至-0.017年；UKB：β=-0.267，95％CI：-0.831至0.297年）。在一致的饮茶者中发现了更强的关联。暴露-反应关系表明，每天食用约3杯茶或6-8克茶叶可能提供最明显的抗衰老益处。
■茶叶消费与KDM测量的衰减BA加速度相关，特别是对于适量饮茶的人。我们的发现强调了茶在开发以营养为导向的抗衰老干预措施和指导健康衰老政策方面的潜在作用。
■国家自然科学基金（批准号：82273740).
