{"title":"咖啡消费与总死亡率:20项前瞻性队列研究的荟萃分析。","authors":"Youjin Je, Edward Giovannucci","doi":"10.1017/S0007114513003814","DOIUrl":null,"url":null,"abstract":"<p><p>Coffee consumption has been shown to be associated with various health outcomes, but no comprehensive review and meta-analysis of the association between coffee consumption and total mortality has been conducted. To quantitatively assess this association, we conducted a meta-analysis of prospective cohort studies. Eligible studies were identified by searching the PubMed and EMBASE databases for all articles published through June 2013 and reviewing the reference lists of the retrieved articles. Pooled relative risks (RR) with 95% CI were calculated using a random-effects model. We identified twenty studies of coffee consumption and total mortality, including 129,538 cases of deaths among the 973,904 participants. The RR of total mortality for the high v. low category of coffee consumption was 0.86 (95% CI 0.80, 0.92). The pooled RR for studies using ≥ 2-4 cups/d as a cut-off for the high category was similar to that for studies using ≥ 5-9 cups/d as the cut-off. By geographical region, the inverse association tended to be stronger for the eight studies conducted in Europe (RR 0.78, 95% CI 0.70, 0.88) and three studies carried out in Japan (RR 0.82, 95% CI 0.73, 0.92) than for the nine studies conducted in the USA (RR 0.92, 95% CI 0.84, 1.00). The inverse association was similar for men (RR 0.81, 95% CI 0.73, 0.90) and women (RR 0.84, 95% CI 0.79, 0.89). A weak, but significant, inverse association was found with moderate coffee consumption (1-2 cups/d; RR 0.92, 95% CI 0.87, 0.98). High decaffeinated coffee consumption was also found to be associated with a lower risk of death, but the data are limited. Our findings indicate that coffee consumption is associated with a reduced risk of total mortality.</p>","PeriodicalId":9257,"journal":{"name":"British Journal of Nutrition","volume":"111 7","pages":"1162-73"},"PeriodicalIF":3.0000,"publicationDate":"2014-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1017/S0007114513003814","citationCount":"94","resultStr":"{\"title\":\"Coffee consumption and total mortality: a meta-analysis of twenty prospective cohort studies.\",\"authors\":\"Youjin Je, Edward Giovannucci\",\"doi\":\"10.1017/S0007114513003814\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Coffee consumption has been shown to be associated with various health outcomes, but no comprehensive review and meta-analysis of the association between coffee consumption and total mortality has been conducted. 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By geographical region, the inverse association tended to be stronger for the eight studies conducted in Europe (RR 0.78, 95% CI 0.70, 0.88) and three studies carried out in Japan (RR 0.82, 95% CI 0.73, 0.92) than for the nine studies conducted in the USA (RR 0.92, 95% CI 0.84, 1.00). The inverse association was similar for men (RR 0.81, 95% CI 0.73, 0.90) and women (RR 0.84, 95% CI 0.79, 0.89). A weak, but significant, inverse association was found with moderate coffee consumption (1-2 cups/d; RR 0.92, 95% CI 0.87, 0.98). High decaffeinated coffee consumption was also found to be associated with a lower risk of death, but the data are limited. 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引用次数: 94
摘要
饮用咖啡已被证明与各种健康结果有关,但尚未对饮用咖啡与总死亡率之间的关系进行全面的回顾和荟萃分析。为了定量评估这种关联,我们对前瞻性队列研究进行了荟萃分析。通过检索PubMed和EMBASE数据库中截至2013年6月发表的所有文章,并查看检索到的文章的参考文献列表,确定符合条件的研究。采用随机效应模型计算95% CI的合并相对危险度(RR)。我们确定了20项关于咖啡消费和总死亡率的研究,包括973,904名参与者中的129,538例死亡病例。高和低咖啡摄入量组总死亡率的相对危险度为0.86(95%可信区间0.80,0.92)。以≥2-4杯/天为高分类截止值的研究的合并RR与以≥5-9杯/天为截止值的研究相似。从地理区域来看,在欧洲进行的8项研究(RR 0.78, 95% CI 0.70, 0.88)和在日本进行的3项研究(RR 0.82, 95% CI 0.73, 0.92)与在美国进行的9项研究(RR 0.92, 95% CI 0.84, 1.00)相比,其负相关倾向更强。男性(RR 0.81, 95% CI 0.73, 0.90)和女性(RR 0.84, 95% CI 0.79, 0.89)的负相关相似。适度饮用咖啡(1-2杯/天;Rr 0.92, 95% ci 0.87, 0.98)。大量饮用不含咖啡因的咖啡也被发现与较低的死亡风险有关,但数据有限。我们的研究结果表明,喝咖啡与降低总死亡率有关。
Coffee consumption and total mortality: a meta-analysis of twenty prospective cohort studies.
Coffee consumption has been shown to be associated with various health outcomes, but no comprehensive review and meta-analysis of the association between coffee consumption and total mortality has been conducted. To quantitatively assess this association, we conducted a meta-analysis of prospective cohort studies. Eligible studies were identified by searching the PubMed and EMBASE databases for all articles published through June 2013 and reviewing the reference lists of the retrieved articles. Pooled relative risks (RR) with 95% CI were calculated using a random-effects model. We identified twenty studies of coffee consumption and total mortality, including 129,538 cases of deaths among the 973,904 participants. The RR of total mortality for the high v. low category of coffee consumption was 0.86 (95% CI 0.80, 0.92). The pooled RR for studies using ≥ 2-4 cups/d as a cut-off for the high category was similar to that for studies using ≥ 5-9 cups/d as the cut-off. By geographical region, the inverse association tended to be stronger for the eight studies conducted in Europe (RR 0.78, 95% CI 0.70, 0.88) and three studies carried out in Japan (RR 0.82, 95% CI 0.73, 0.92) than for the nine studies conducted in the USA (RR 0.92, 95% CI 0.84, 1.00). The inverse association was similar for men (RR 0.81, 95% CI 0.73, 0.90) and women (RR 0.84, 95% CI 0.79, 0.89). A weak, but significant, inverse association was found with moderate coffee consumption (1-2 cups/d; RR 0.92, 95% CI 0.87, 0.98). High decaffeinated coffee consumption was also found to be associated with a lower risk of death, but the data are limited. Our findings indicate that coffee consumption is associated with a reduced risk of total mortality.
期刊介绍:
British Journal of Nutrition is a leading international peer-reviewed journal covering research on human and clinical nutrition, animal nutrition and basic science as applied to nutrition. The Journal recognises the multidisciplinary nature of nutritional science and includes material from all of the specialities involved in nutrition research, including molecular and cell biology and nutritional genomics.