OBJECTIVES: To investigate the association between tea consumption and mortality in the oldest-old Chinese. DESIGN: Population-based longitudinal data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed using a Cox semiparametric proportional hazard model. SETTING: Six hundred thirty-one randomly selected counties and cities of China's 22 provinces. PARTICIPANTS: Individuals aged 80 and older (N = 9,093) who provided complete data in the baseline survey (1998). MEASUREMENTS: Self-reported current frequency of tea drinking and past frequency at approximately age 60 were ascertained at baseline survey; a follow-up survey was conducted 2000, 2002, and 2005. RESULTS: In the oldest-old Chinese, tea consumption was associated with lower risk of mortality after adjusting for demographic characteristics, socioeconomic status, health practices, and health status. Compared with non-tea drinkers, the adjusted hazard ratio (HR) was 0.90 (95% confidence interval (CI) = 0.84-0.96) for daily tea drinkers (at the baseline survey, 1998) and 1.00 (95% CI = 1.01-1.07) for occasional tea drinkers (P for linear trend .003). Similar results were found when tea drinking status at age 60 was used in the analysis. Further analysis showed that subjects who reported frequent tea drinking at age 60 and at the baseline survey had a 10% lower risk of mortality than subjects who reported infrequent tea drinking at age 60 and at the baseline survey (HR = 0.90, 95% CI = 0.84-0.97). CONCLUSION: Tea consumption is associated with lower risk of mortality in the oldest-old Chinese.
OBJECTIVES: To investigate the association between tea consumption and mortality in the oldest-old Chinese. DESIGN: Population-based longitudinal data from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) were analyzed using a Cox semiparametric proportional hazard model. SETTING: Six hundred thirty-one randomly selected counties and cities of China's 22 provinces. PARTICIPANTS: Individuals aged 80 and older (N = 9,093) who provided complete data in the baseline survey (1998). MEASUREMENTS: Self-reported current frequency of tea drinking and past frequency at approximately age 60 were ascertained at baseline survey; a follow-up survey was conducted 2000, 2002, and 2005. RESULTS: In the oldest-old Chinese, tea consumption was associated with lower risk of mortality after adjusting for demographic characteristics, socioeconomic status, health practices, and health status. Compared with non-tea drinkers, the adjusted hazard ratio (HR) was 0.90 (95% confidence interval (CI) = 0.84-0.96) for daily tea drinkers (at the baseline survey, 1998) and 1.00 (95% CI = 1.01-1.07) for occasional tea drinkers (P for linear trend .003). Similar results were found when tea drinking status at age 60 was used in the analysis. Further analysis showed that subjects who reported frequent tea drinking at age 60 and at the baseline survey had a 10% lower risk of mortality than subjects who reported infrequent tea drinking at age 60 and at the baseline survey (HR = 0.90, 95% CI = 0.84-0.97). CONCLUSION: Tea consumption is associated with lower risk of mortality in the oldest-old Chinese.
Authors: Yi Zeng; Huashuai Chen; Ting Ni; Rongping Ruan; Chao Nie; Xiaomin Liu; Lei Feng; Fengyu Zhang; Jiehua Lu; Jianxin Li; Yang Li; Wei Tao; Simon G Gregory; William Gottschalk; Michael W Lutz; Kenneth C Land; Anatoli Yashin; Qihua Tan; Ze Yang; Lars Bolund; Qi Ming; Huanming Yang; Junxia Min; D Craig Willcox; Bradley J Willcox; Jun Gu; Elizabeth Hauser; Xiao-Li Tian; James W Vaupel Journal: Rejuvenation Res Date: 2016-02-10 Impact factor: 4.663
Authors: L Feng; M-S Chong; W-S Lim; Q Gao; M S Nyunt; T-S Lee; S L Collinson; T Tsoi; E-H Kua; T-P Ng Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
Authors: Yi Zeng; Huashuai Chen; Ting Ni; Rongping Ruan; Lei Feng; Chao Nie; Lingguo Cheng; Yang Li; Wei Tao; Jun Gu; Kenneth C Land; Anatoli Yashin; Qihua Tan; Ze Yang; Lars Bolund; Huanming Yang; Elizabeth Hauser; D Craig Willcox; Bradley J Willcox; Xiao-Li Tian; James W Vaupel Journal: J Gerontol A Biol Sci Med Sci Date: 2014-06-03 Impact factor: 6.053