scholarly journals Tea consumption and risk of type 2 diabetes: a dose–response meta-analysis of cohort studies

2013 ◽  
Vol 111 (8) ◽  
pp. 1329-1339 ◽  
Author(s):  
Wan-Shui Yang ◽  
Wei-Ye Wang ◽  
Wen-Yan Fan ◽  
Qin Deng ◽  
Xin Wang
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Linear Trend ◽  
Meta Analysis ◽  
Significant Heterogeneity ◽  
Inverse Association ◽  
Tea Consumption ◽  
Preparation Methods

Tea consumption has inconsistently been shown to be associated with the risk of type 2 diabetes (T2D). The aim of the present study was to conduct a dose–response meta-analysis of cohort studies assessing the association between consumption of tea and risk of developing T2D. Pertinent studies were identified by searching PubMed, Web of Science and EMBASE through 31 March 2013. A total of sixteen cohorts from fifteen articles that reported 37 445 cases of diabetes among 545 517 participants were included. A significant linearly inverse association between tea consumption and T2D risk was found (P for linear trend = 0·02). An increase of 2 cups/d in tea consumption was found to be associated with a 4·6 (95 % CI 0·9, 8·1) % reduced risk of T2D. On the basis of the dose–response meta-analysis, the predicted relative risks of diabetes for 0, 1, 2, 3, 4, 5 and 6 cups of tea consumed per d were 1·00 (referent), 0·97 (95 % CI 0·94, 1·01), 0·95(95 % CI 0·92, 0·98), 0·93 (95 % CI 0·88, 0·98), 0·90 (95 % CI 0·85, 0·96), 0·88 (95 % CI 0·83, 0·93) and 0·85 (95 % CI 0·80, 0·91), respectively. There was a statistically significant heterogeneity within the selected studies (Q= 45·32, P< 0·001, I2= 60·3 %). No evidence of substantial small-study bias was found (P= 0·46). Our findings suggest that tea consumption could be linearly inversely associated with T2D risk. Future well-designed observational studies that account for different characteristics of tea such as tea types, preparation methods and tea strength are needed to fully characterise such an association.

Association of age at menopause and type 2 diabetes: A systematic review and dose-response meta-analysis of cohort studies

2019 ◽  
Vol 13 (4) ◽  
pp. 301-309 ◽  
Author(s):  
Chunmei Guo ◽  
Quanman Li ◽  
Gang Tian ◽  
Yu Liu ◽  
Xizhuo Sun ◽  
...  
Keyword(s):  
Systematic Review ◽  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Meta Analysis ◽  
Age At Menopause

Meat and fish intake and type 2 diabetes: Dose–response meta-analysis of prospective cohort studies

2020 ◽  
Vol 46 (5) ◽  
pp. 345-352 ◽  
Author(s):  
Xiu Yang ◽  
Yuqian Li ◽  
Chongjian Wang ◽  
Zhenxing Mao ◽  
Wen Zhou ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Cohort Studies ◽  
Dose Response ◽  
Prospective Cohort ◽  
Meta Analysis ◽  
Fish Intake ◽  
Prospective Cohort Studies

scholarly journals Coffee consumption is associated with a lower risk of prostate cancer: a meta-analysis

2020 ◽  
Author(s):  
Xiaonan Chen ◽  
Yiqiao Zhao ◽  
Zijia Tao ◽  
Kefeng Wang
Keyword(s):  
Prostate Cancer ◽  
Cancer Risk ◽  
Cohort Studies ◽  
Linear Trend ◽  
Meta Analysis ◽  
Prostate Cancer Risk ◽  
Coffee Consumption ◽  
Significant Heterogeneity ◽  
Inverse Association ◽  
Coffee Intake

Abstract Background Although in vitro and in vivo experiments have suggested that coffee may exert inhibitory effects on prostate carcinogenesis, epidemiological studies have reported inconsistent results on the association between coffee consumption and prostate cancer. Methods We conducted a meta-analysis of cohort studies to assess the association between coffee consumption and prostate cancer risk. PubMed and Embase were searched for eligible studies up to Jan 2020. Study-specific risk estimates were combined using fixed or random effects models depending on whether significant heterogeneity was detected. Results Fifteen prospective cohort studies, with 50,200 cases of prostate cancer and 949,752 total cohort members, were included in the meta-analysis. A statistically significant inverse association was detected between coffee consumption and prostate cancer risk. The pooled relative risk (RR) was 0.91 (95% CI: 0.84, 0.98; I 2= 53.2%) for the highest coffee consumption compared with lowest consumption. The association exhibited a linear trend ( P =0.006 for linear trend), and the pooled RR was 0.989 (95% CI: 0.982, 0.997) for an increase of 1 cup of coffee per day. The pooled RRs were 0.93 (95% CI: 0.87, 0.99), 0.88 (95% CI: 0.71, 1.09) and 0.84 (95% CI: 0.66, 1.08) for localized, advanced and fatal prostate cancer, respectively. No publication bias was detected. Conclusions Our findings provide more evidence that increased coffee consumption is associated with lower prostate cancer risk. It implies that men might be encouraged to increase the coffee intake to lower their risk of prostate cancer.

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