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Glycemic load, glycemic index and risk of cardiovascular diseases: Meta-analyses of prospective studies

机译:血糖负荷,血糖指数和心血管疾病风险:前瞻性研究的荟萃分析

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Objective: The objective of this study was to assess the relations between glycemic load (GL), glycemic index (GI) and the risk of fatal or nonfatal cardiovascular diseases (CVDs). Methods: Prospective studies were identified by a comprehensive search of Pubmed, ISI web of Science, the Cochrane Library and EMBASE database, supplemented with manual searches through the reference lists of original publications and review articles. Relative risks (RRs) and 95% confidence intervals (CIs) were extracted and pooled using a random-effect model, and dose-response meta-analysis was performed by the method of generalized least-squares. Results: Fourteen studies were identified, involving 229,213 participants and more than 11,363 cases. The pooled RRs of CVDs risk for the highest vs lowest categories of GL and GI were 1.23 (95% CI: 1.11-1.36) and 1.13 (95% CI: 1.04-1.22) respectively. Both the risk estimates of GL and GI for women (GL: RR = 1.35, 95% CI: 1.18-1.55; GI: RR = 1.19, 95% CI: 1.06-1.34) were higher than men (GL: RR = 1.10, 95% CI: 0.95-1.28; GI: RR = 1.05, 95% CI: 0.94-1.17). No heterogeneity or publication bias was detected. Dose-response meta-analysis found an increased RR of 1.18 (95% CI: 1.01-1.38, P = 0.033) per 50 unit increment of GL with cardiac event risk in Caucasians. Conclusions: High GL and GI were associated with significant increased risk of CVDs, specifically for women.
机译:目的:本研究的目的是评估血糖负荷(GL),血糖指数(GI)与致命或非致命心血管疾病(CVD)风险之间的关系。方法:通过对Pubmed,ISI Web of Science,Cochrane图书馆和EMBASE数据库进行全面搜索,并通过原始出版物和评论文章的参考列表进行手动搜索,对前瞻性研究进行识别。使用随机效应模型提取并汇总相对风险(RRs)和95%置信区间(CIs),并通过广义最小二乘法进行剂量反应荟萃分析。结果:共鉴定出14项研究,涉及229,213名参与者,超过11,363例。最高和最低类别的GL和GI的CVD风险合并风险比分别为1.23(95%CI:1.11-1.36)和1.13(95%CI:1.04-1.22)。女性对GL和GI的风险估计(GL:RR = 1.35,95%CI:1.18-1.55; GI:RR = 1.19,95%CI:1.06-1.34)均高于男性(GL:RR = 1.10, 95%CI:0.95-1.28; GI:RR = 1.05,95%CI:0.94-1.17)。未检测到异质性或发布偏见。剂量反应荟萃分析发现,每增加50单位GL,白种人的心脏事件风险就会使RR增加1.18(95%CI:1.01-1.38,P = 0.033)。结论:高GL和GI与CVD风险显着增加有关,特别是对于女性。

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