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Food groups and risk of type 2 diabetes mellitus_ a systematic review and meta-analysis of prospective studies.pdf 475,14KB
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1000 Titel
  • Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies
1000 Autor/in
  1. Schwingshackl, Lukas |
  2. Hoffmann, Georg |
  3. Lampousi, Anna-Maria |
  4. Knüppel, Sven |
  5. Iqbal, Khalid |
  6. Schwedhelm, Carolina |
  7. Bechthold, Angela |
  8. Schlesinger, Sabrina |
  9. Böing, Heiner |
1000 Erscheinungsjahr 2017
1000 LeibnizOpen
1000 Art der Datei
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-04-10
1000 Erschienen in
1000 Quellenangabe
  • 32(5):363-375
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1007/s10654-017-0246-y |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5506108/ |
1000 Ergänzendes Material
  • https://link.springer.com/article/10.1007%2Fs10654-017-0246-y#SupplementaryMaterial |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • The aim of this systematic review and meta-analysis was to synthesize the knowledge about the relation between intake of 12 major food groups and risk of type 2 diabetes (T2D). We conducted a systematic search in PubMed, Embase, Medline (Ovid), Cochrane Central, and Google Scholar for prospective studies investigating the association between whole grains, refined grains, vegetables, fruits, nuts, legumes, eggs, dairy, fish, red meat, processed meat, and sugar-sweetened beverages (SSB) on risk of T2D. Summary relative risks were estimated using a random effects model by contrasting categories, and for linear and non-linear dose–response relationships. Six out of the 12 food-groups showed a significant relation with risk of T2D, three of them a decrease of risk with increasing consumption (whole grains, fruits, and dairy), and three an increase of risk with increasing consumption (red meat, processed meat, and SSB) in the linear dose–response meta-analysis. There was evidence of a non-linear relationship between fruits, vegetables, processed meat, whole grains, and SSB and T2D risk. Optimal consumption of risk-decreasing foods resulted in a 42% reduction, and consumption of risk-increasing foods was associated with a threefold T2D risk, compared to non-consumption. The meta-evidence was graded “low” for legumes and nuts; “moderate” for refined grains, vegetables, fruit, eggs, dairy, and fish; and “high” for processed meat, red meat, whole grains, and SSB. Among the investigated food groups, selecting specific optimal intakes can lead to a considerable change in risk of T2D.
1000 Sacherschließung
lokal Type 2 diabetes
lokal Diet
lokal Dose-response
lokal Food
lokal Meta-analysis
1000 Fachgruppe
  1. Ernährungswissenschaften |
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. http://orcid.org/0000-0003-3407-7594|https://frl.publisso.de/adhoc/creator/SG9mZm1hbm4sIEdlb3Jn|https://frl.publisso.de/adhoc/creator/TGFtcG91c2ksIEFubmEtTWFyaWE=|http://orcid.org/0000-0001-9006-9906|http://orcid.org/0000-0002-3312-4259|http://orcid.org/0000-0001-7617-6641|https://frl.publisso.de/adhoc/creator/QmVjaHRob2xkLCBBbmdlbGE=|http://orcid.org/0000-0003-4244-0832|http://d-nb.info/gnd/1111919534
1000 Label
1000 Förderer
  1. NHS BRC |
1000 Fördernummer
  1. -
1000 Förderprogramm
  1. Interventional Public Health
1000 Dateien
  1. Food groups and risk of type 2 diabetes mellitus: a systematic review and meta-analysis of prospective studies
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer NHS BRC |
    1000 Förderprogramm Interventional Public Health
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6407188.rdf
1000 Erstellt am 2018-03-19T13:15:23.486+0100
1000 Erstellt von 218
1000 beschreibt frl:6407188
1000 Bearbeitet von 25
1000 Zuletzt bearbeitet Thu Jan 30 16:32:48 CET 2020
1000 Objekt bearb. Fri Jul 27 11:12:32 CEST 2018
1000 Vgl. frl:6407188
1000 Oai Id
  1. oai:frl.publisso.de:frl:6407188 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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