Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, Henan, People's Republic of China.
Department of Biostatistics and Epidemiology, School of Public Health, Shenzhen University Health Science Center, Shenzhen, Guangdong, People's Republic of China.
Adv Nutr. 2022 Oct 2;13(5):1834-1845. doi: 10.1093/advances/nmac049.
Although the association of dietary inflammatory potential, evaluated by the dietary inflammatory index (DII), with all-cause and cause-specific mortality has been reported, evidence remains equivocal, with no relevant dose-response meta-analysis having been conducted. To examine the dose-response association of dietary inflammatory potential with risk of all-cause, cancer, and cardiovascular disease (CVD) mortality, PubMed, Embase, and Web of Science were systematically searched up to August 9, 2021. Cohort studies were included if DII was reported as ≥3 levels or per incremental increase, and if the associations of DII with all-cause, cancer, and CVD mortality were assessed. Generalized least squares regression was used to estimate study-specific dose-response associations, and the random effect model was used to pool the RRs and 95% CIs of all-cause, cancer, and CVD mortality per 1-unit increase in DII. Restricted cubic splines were used to intuitively display the dose-response association between dietary inflammatory potential and mortality. Of the 1415 studies retrieved, 15 articles (17 cohort studies involving 397,641 participants) were included in this meta-analysis. With per 1-unit increase in DII, the risks were significantly increased for all-cause mortality (RR: 1.04; 95% CI: 1.03, 1.05, I2 = 51.8%; P-heterogeneity = 0.009), cancer mortality (RR: 1.02; 95% CI: 1.00, 1.04, I2 = 58.6%; P-heterogeneity = 0.013), and CVD mortality (RR: 1.04; 95% CI: 1.02, 1.06, I2 = 85.7%; P-heterogeneity <0.001), respectively. Restricted cubic splines showed significant positive linear associations between DII and the above 3 outcomes. Our study indicated that proinflammatory diets can increase the risk of all-cause, cancer, and CVD mortality in a linear manner.
虽然已经有研究报告了饮食炎症指数(DII)评估的饮食炎症潜能与全因和特定原因死亡率之间的关联,但证据仍存在争议,尚未进行相关的剂量反应荟萃分析。为了研究饮食炎症潜能与全因、癌症和心血管疾病(CVD)死亡率风险之间的剂量反应关系,系统地检索了 PubMed、Embase 和 Web of Science 数据库,检索时间截至 2021 年 8 月 9 日。如果报告了 DII 至少有 3 个水平或每增加一个增量,并且评估了 DII 与全因、癌症和 CVD 死亡率的关联,则纳入队列研究。使用广义最小二乘法估计研究特异性剂量反应关联,并使用随机效应模型汇总 DII 每增加 1 个单位与全因、癌症和 CVD 死亡率的 RR 和 95%CI。使用限制性三次样条直观显示饮食炎症潜能与死亡率之间的剂量反应关系。在检索到的 1415 篇研究中,有 15 篇文章(17 项队列研究,涉及 397641 名参与者)纳入了这项荟萃分析。随着 DII 的每增加 1 个单位,全因死亡率(RR:1.04;95%CI:1.03,1.05,I2=51.8%;P 异质性=0.009)、癌症死亡率(RR:1.02;95%CI:1.00,1.04,I2=58.6%;P 异质性=0.013)和 CVD 死亡率(RR:1.04;95%CI:1.02,1.06,I2=85.7%;P 异质性<0.001)的风险均显著增加。限制性三次样条显示 DII 与上述 3 个结局之间存在显著的正线性关联。我们的研究表明,促炎饮食可以以线性方式增加全因、癌症和 CVD 死亡率的风险。