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Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials.
Am J Clin Nutr. 2018 Sep 01; 108(3):576-586.AJ

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.

Authors+Show Affiliations

Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Germany.Department of Nutritional Sciences, University of Vienna, Vienna, Austria.Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany.Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Germany.Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. NutriAct - Competence Cluster Nutrition Research Berlin-Potsdam, Germany.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Systematic Review
Network Meta-Analysis

Language

eng

PubMed ID

30535089

Citation

Schwingshackl, Lukas, et al. "Food Groups and Intermediate Disease Markers: a Systematic Review and Network Meta-analysis of Randomized Trials." The American Journal of Clinical Nutrition, vol. 108, no. 3, 2018, pp. 576-586.
Schwingshackl L, Hoffmann G, Iqbal K, et al. Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials. Am J Clin Nutr. 2018;108(3):576-586.
Schwingshackl, L., Hoffmann, G., Iqbal, K., Schwedhelm, C., & Boeing, H. (2018). Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials. The American Journal of Clinical Nutrition, 108(3), 576-586. https://doi.org/10.1093/ajcn/nqy151
Schwingshackl L, et al. Food Groups and Intermediate Disease Markers: a Systematic Review and Network Meta-analysis of Randomized Trials. Am J Clin Nutr. 2018 Sep 1;108(3):576-586. PubMed PMID: 30535089.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials. AU - Schwingshackl,Lukas, AU - Hoffmann,Georg, AU - Iqbal,Khalid, AU - Schwedhelm,Carolina, AU - Boeing,Heiner, PY - 2018/4/6/received PY - 2018/6/13/accepted PY - 2018/12/12/entrez PY - 2018/12/12/pubmed PY - 2019/8/16/medline PY - 2018/9/11/pmc-release SP - 576 EP - 586 JF - The American journal of clinical nutrition JO - Am J Clin Nutr VL - 108 IS - 3 N2 - 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. SN - 1938-3207 UR - https://www.unboundmedicine.com/medline/citation/30535089/full_citation DB - PRIME DP - Unbound Medicine ER -