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食物组与中间疾病标志物:随机试验的系统评价与网络荟萃分析。

Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials.

机构信息

Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.

NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Germany.

出版信息

Am J Clin Nutr. 2018 Sep 1;108(3):576-586. doi: 10.1093/ajcn/nqy151.

Abstract

BACKGROUND

In previous meta-analyses of prospective observational studies, we investigated the association between food groups and risk of chronic disease.

OBJECTIVE

The aim of the present network meta-analysis (NMA) was to assess the effects of these food groups on intermediate-disease markers across randomized intervention trials.

DESIGN

Literature searches were performed until January 2018. The following inclusion criteria were defined a priori: 1) randomized trial (≥4 wk duration) comparing ≥2 of the following food groups: refined grains, whole grains, nuts, legumes, fruits and vegetables, eggs, dairy, fish, red meat, and sugar-sweetened beverages (SSBs); 2) LDL cholesterol and triacylglycerol (TG) were defined as primary outcomes; total cholesterol, HDL cholesterol, fasting glucose, glycated hemoglobin, homeostasis model assessment insulin resistance, systolic and diastolic blood pressure, and C-reactive protein were defined as secondary outcomes. For each outcome, a random NMA was performed, and for the ranking, the surface under the cumulative ranking curves (SUCRA) was determined.

RESULTS

A total of 66 randomized trials (86 reports) comparing 10 food groups and enrolling 3595 participants was identified. Nuts were ranked as the best food group at reducing LDL cholesterol (SUCRA: 93%), followed by legumes (85%) and whole grains (70%). For reducing TG, fish (97%) was ranked best, followed by nuts (78%) and red meat (72%). However, these findings are limited by the low quality of the evidence. When combining all 10 outcomes, the highest SUCRA values were found for nuts (66%), legumes (62%), and whole grains (62%), whereas SSBs performed worst (29%).

CONCLUSION

The present NMA provides evidence that increased intake of nuts, legumes, and whole grains is more effective at improving metabolic health than other food groups. For the credibility of diet-disease relations, high-quality randomized trials focusing on well-established intermediate-disease markers could play an important role. This systematic review was registered at PROSPERO (www.crd.york.ac.uk/PROSPERO) as CRD42018086753.

摘要

背景

在之前对前瞻性观察研究的荟萃分析中,我们研究了食物组与慢性病风险之间的关系。

目的

本网络荟萃分析(NMA)的目的是评估这些食物组对随机干预试验中中间疾病标志物的影响。

设计

文献检索截至 2018 年 1 月。预先定义了以下纳入标准:1)比较以下 2 种及以上食物组的随机试验(≥4 周):精制谷物、全谷物、坚果、豆类、水果和蔬菜、鸡蛋、乳制品、鱼类、红色肉类和含糖饮料(SSB);2)LDL 胆固醇和三酰甘油(TG)定义为主要结局;总胆固醇、高密度脂蛋白胆固醇、空腹血糖、糖化血红蛋白、稳态模型评估胰岛素抵抗、收缩压和舒张压以及 C 反应蛋白定义为次要结局。对于每个结局,进行随机 NMA,并对排名进行累积排序曲线下面积(SUCRA)的确定。

结果

共确定了 66 项比较 10 种食物组且纳入 3595 名参与者的随机试验(86 份报告)。坚果被评为降低 LDL 胆固醇的最佳食物组(SUCRA:93%),其次是豆类(85%)和全谷物(70%)。对于降低 TG,鱼(97%)排名最佳,其次是坚果(78%)和红色肉类(72%)。然而,这些发现受到证据质量低的限制。当结合所有 10 个结局时,坚果(66%)、豆类(62%)和全谷物(62%)的 SUCRA 值最高,而 SSB 的表现最差(29%)。

结论

本 NMA 提供的证据表明,增加坚果、豆类和全谷物的摄入量比其他食物组更能有效改善代谢健康。对于饮食与疾病关系的可信度,关注既定中间疾病标志物的高质量随机试验可能会发挥重要作用。本系统评价已在 PROSPERO(www.crd.york.ac.uk/PROSPERO)上注册,注册号为 CRD42018086753。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9701/6134288/dcdf9dea71ed/nqy151fig1.jpg

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