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Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials
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 ac...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134288/ https://www.ncbi.nlm.nih.gov/pubmed/30535089 http://dx.doi.org/10.1093/ajcn/nqy151 |
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author | Schwingshackl, Lukas Hoffmann, Georg Iqbal, Khalid Schwedhelm, Carolina Boeing, Heiner |
author_facet | Schwingshackl, Lukas Hoffmann, Georg Iqbal, Khalid Schwedhelm, Carolina Boeing, Heiner |
author_sort | Schwingshackl, Lukas |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6134288 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61342882018-09-14 Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials Schwingshackl, Lukas Hoffmann, Georg Iqbal, Khalid Schwedhelm, Carolina Boeing, Heiner Am J Clin Nutr Original Research Communications 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. Oxford University Press 2018-09 2018-09-11 /pmc/articles/PMC6134288/ /pubmed/30535089 http://dx.doi.org/10.1093/ajcn/nqy151 Text en © 2018 American Society for Nutrition. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Original Research Communications Schwingshackl, Lukas Hoffmann, Georg Iqbal, Khalid Schwedhelm, Carolina Boeing, Heiner Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title | Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title_full | Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title_fullStr | Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title_full_unstemmed | Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title_short | Food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
title_sort | food groups and intermediate disease markers: a systematic review and network meta-analysis of randomized trials |
topic | Original Research Communications |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6134288/ https://www.ncbi.nlm.nih.gov/pubmed/30535089 http://dx.doi.org/10.1093/ajcn/nqy151 |
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