已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Green tea and cancer and cardiometabolic diseases: a review of the current epidemiological evidence

医学 癌症 环境卫生 流行病学 糖尿病 绿茶 疾病 内科学 传统医学 内分泌学 化学 食品科学
作者
Sarah Krull Abe,Manami Inoue
出处
期刊:European Journal of Clinical Nutrition [Springer Nature]
卷期号:75 (6): 865-876 被引量:60
标识
DOI:10.1038/s41430-020-00710-7
摘要

Green tea is commonly consumed in China, Japan, and Korea and certain parts of North Africa and is gaining popularity in other parts of the world. The aim of this review was to objectively evaluate the existing evidence related to green tea consumption and various health outcomes, especially cancer, cardiovascular disease and diabetes. This review captured evidence from meta-analyses as well as expert reports and recent individual studies. For certain individual cancer sites: endometrial, lung, oral and ovarian cancer, and non-Hodgkins lymphoma the majority of meta-analyses observed an inverse association with green tea. Mixed findings were observed for breast, esophageal, gastric, liver and a mostly null association for colorectal, pancreatic, and prostate cancer. No studies reported adverse effects from green tea related to cancer although consuming hot tea has been found to possibly increase the risk of esophageal cancer and concerns of hepatotoxity were raised as a result of high doses of green tea. The literature overall supports an inverse association between green tea and cardiovascular disease-related health outcomes. The evidence for diabetes-related health outcomes is less convincing, while the included meta-analyses generally suggested an inverse association between green tea and BMI-related and blood pressure outcomes. Fewer studies investigated the association between green tea and other health outcomes such as cognitive outcomes, dental health, injuries and respiratory disease. This review concludes that green tea consumption overall may be considered beneficial for human health.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
dovejingling发布了新的文献求助10
2秒前
3秒前
6秒前
slyqc完成签到 ,获得积分10
7秒前
hugeyoung完成签到,获得积分10
7秒前
7秒前
7秒前
ZYSNNNN发布了新的文献求助10
8秒前
大力的灵雁举报Deathwing求助涉嫌违规
9秒前
香蕉觅云应助阿萨姆采纳,获得10
10秒前
Wawoo发布了新的文献求助10
10秒前
pure完成签到 ,获得积分10
10秒前
11秒前
11秒前
Lucas应助科研通管家采纳,获得10
11秒前
英姑应助科研通管家采纳,获得10
11秒前
11秒前
13秒前
这就是你的回答吗完成签到 ,获得积分10
13秒前
曹鑫宇发布了新的文献求助10
14秒前
兜兜发布了新的文献求助10
17秒前
潇洒冰旋完成签到,获得积分10
17秒前
阿萨姆完成签到,获得积分10
21秒前
22秒前
潇洒冰旋发布了新的文献求助10
23秒前
曹鑫宇发布了新的文献求助10
27秒前
leemiii完成签到 ,获得积分10
29秒前
盛事不朽完成签到 ,获得积分0
30秒前
31秒前
32秒前
脑洞疼应助糊涂虫采纳,获得30
32秒前
ya完成签到,获得积分10
36秒前
37秒前
37秒前
光亮如彤完成签到,获得积分10
40秒前
桐桐应助梦回唐朝采纳,获得10
44秒前
44秒前
44秒前
49秒前
zzzz发布了新的文献求助10
49秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Wearable Exoskeleton Systems, 2nd Edition 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6058059
求助须知:如何正确求助?哪些是违规求助? 7890786
关于积分的说明 16296437
捐赠科研通 5203202
什么是DOI,文献DOI怎么找? 2783801
邀请新用户注册赠送积分活动 1766438
关于科研通互助平台的介绍 1647036