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1000 Titel
  • Dietary Patterns Derived by Reduced Rank Regression Are Inversely Associated with Type 2 Diabetes Risk across 5 Ethnic Groups in the Multiethnic Cohort
1000 Autor/in
  1. Jacobs, Simone |
  2. Kroeger, Janine |
  3. Schulze, Matthias B |
  4. Frank, Laura K |
  5. Franke, Adrian A |
  6. Cheng, Iona |
  7. Monroe, Kristine R |
  8. Haiman, Christopher A |
  9. Kolonel, Laurence N |
  10. Wilkens, Lynne R |
  11. Marchand, Loic Le |
  12. Boushey, Carol J |
  13. Maskarinec, Gertraud |
1000 Erscheinungsjahr 2017
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2017-04-17
1000 Erschienen in
1000 Quellenangabe
  • 1(5):e000620
1000 Copyrightjahr
  • 2017
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.3945/cdn.117.000620 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5998352/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Reduced rank regression (RRR) is an approach to identify dietary patterns associated with biochemical markers and risk of type 2 diabetes (T2D). OBJECTIVE: We aimed to derive dietary patterns associated with adiponectin, leptin, C-reactive protein (CRP), and triglycerides (TGs) and to examine the prospective associations of these patterns with T2D risk in 5 ethnic/racial groups with differences in T2D rates. METHODS: The Multiethnic Cohort (MEC) included 215,831 African-American, Japanese-American, Latino, Native Hawaiian, and white adults living in Hawaii and California who completed a validated quantitative food-frequency questionnaire in 1993–1996. T2D status was based on self-report with confirmation by administrative data. Serum CRP and TGs and plasma adiponectin and leptin were measured ∼10 y after baseline in a subset (n = 10,008) of participants. RRR was applied to dietary data and biomarker information of 10,008 MEC participants in the combined population and in each ethnic/racial group. RRR-derived dietary patterns, simplified by removal of foods that were not found to be important, were subsequently evaluated for association with T2D risk in 155,316 cohort members (8687 incident T2D cases diagnosed by 2010) by using Cox proportional hazards regression. RESULTS: Combining ethnic/racial groups, we identified a dietary pattern low in processed and red meat, sugar-sweetened beverages, diet soft drinks, and white rice and high in whole grains, fruit, yellow-orange vegetables, green vegetables, and low-fat dairy that was inversely associated with CRP, TGs, and leptin and positively related to adiponectin. Comparing extreme tertiles, the dietary pattern predicted a 16–28% significantly lower T2D risk in the combined study population and also separately in African Americans, Japanese Americans, Latinos, Native Hawaiians, and whites. Ethnicity-specific derived patterns varied only modestly from the overall pattern and resulted in comparable associations with T2D. CONCLUSION: This identified dietary pattern may lower T2D risk through its impact on adipokines, by lowering chronic inflammation and dyslipidemia across 5 ethnic/racial groups.
1000 Sacherschließung
lokal triglycerides
lokal biomarker
lokal adiponectin
lokal leptin
lokal dietary pattern
lokal C-reactive protein
lokal type 2 diabetes
lokal Multiethnic Cohort
lokal reduced rank regression
lokal adipokines
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/creator/SmFjb2JzLCBTaW1vbmU=|https://frl.publisso.de/adhoc/creator/S3JvZWdlciwgSmFuaW5l|https://frl.publisso.de/adhoc/creator/U2NodWx6ZSwgTWF0dGhpYXMgQg==|https://frl.publisso.de/adhoc/creator/RnJhbmssIExhdXJhIEs=|https://frl.publisso.de/adhoc/creator/RnJhbmtlLCBBZHJpYW4gQQ==|https://frl.publisso.de/adhoc/creator/Q2hlbmcsIElvbmE=|https://frl.publisso.de/adhoc/creator/TW9ucm9lLCBLcmlzdGluZSBS|https://frl.publisso.de/adhoc/creator/SGFpbWFuLCBDaHJpc3RvcGhlciBB|https://frl.publisso.de/adhoc/creator/S29sb25lbCwgTGF1cmVuY2UgTg==|https://frl.publisso.de/adhoc/creator/V2lsa2VucywgTHlubmUgUg==|https://frl.publisso.de/adhoc/creator/TWFyY2hhbmQsIExvaWMgTGU=|https://frl.publisso.de/adhoc/creator/Qm91c2hleSwgQ2Fyb2wgSg==|https://frl.publisso.de/adhoc/creator/TWFza2FyaW5lYywgR2VydHJhdWQ=
1000 Label
1000 Förderer
  1. German Research Foundation |
  2. National Institue of Health (NIH) |
1000 Fördernummer
  1. DFG JA 2564/1-1
  2. R37 CA54281; U01 CA164973; R21 DK073816; P30 CA071789
1000 Förderprogramm
  1. -
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer German Research Foundation |
    1000 Förderprogramm -
    1000 Fördernummer DFG JA 2564/1-1
  2. 1000 joinedFunding-child
    1000 Förderer National Institue of Health (NIH) |
    1000 Förderprogramm -
    1000 Fördernummer R37 CA54281; U01 CA164973; R21 DK073816; P30 CA071789
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6411786.rdf
1000 Erstellt am 2018-12-13T12:17:19.495+0100
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1000 Bearbeitet von 218
1000 Zuletzt bearbeitet 2021-10-08T17:42:15.466+0200
1000 Objekt bearb. Fri Oct 08 17:42:15 CEST 2021
1000 Vgl. frl:6411786
1000 Oai Id
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