Evidence map›Paper›PMID 28504712›Full record

ArticleNutrition & diabetes2017

Flavonoid intake is inversely associated with obesity and C-reactive protein, a marker for inflammation, in US adults.

J A Vernarelli, J D Lambert

Abstract read
In one paragraph

Article in Nutrition & diabetes, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed.

  1. Enhancing Industrial Hemp (International journal of molecular sciences · 2025
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  4. RepurposingLife (Basel, Switzerland) · 2024
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  8. Review
  9. Article
  10. Anticancer Activity of Natural and Synthetic Chalcones.International journal of molecular sciences · 2021
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

J A VernarelliDepartment of Biology, Fairfield University, Fairfield, CT, USA.
J D LambertDepartment of Food Science, The Pennsylvania State University, University Park, PA, USA.

Funding

Fatty Liver Preventive Effects and High Dose Hepatotoxicity of Tea PolyphenolsR01AT004678 · NCCIH · PENNSYLVANIA STATE UNIVERSITY, THE · PI LAMBERT, JOSHUA D · 2009 to 2013
$1.7M
NCCIH NIH HHS R01 AT004678
6 · The paper itself

Abstract

Recent studies have demonstrated the importance of flavonoid intake and disease risk, however the association between flavonoid intake and obesity has not been evaluated in a nationally representative sample of US adults. The objective of the study was to evaluate the association between flavonoid consumption and established risk factors for obesity and obesity-related inflammation. Data from a nationally representative sample of 9551 adults who participated in the 2005-2008 National Health and Nutrition Examination Survey (NHANES) were analyzed. Flavonoid consumption was inversely associated with obesity in both men and women in multivariate models. Adults in the highest quartile of flavonoid intake had significantly lower body mass index and waist circumference than those in the lowest quartile of flavonoid intake (P<0.03 and P<0.04, respectively), and flavonoid intake was inversely related to C-reactive protein levels in women (p-trend, 0.01). These findings support a growing body of laboratory evidence that flavonoid consumption may be beneficial for disease prevention.

Indexed as

DietFlavonoidsAdolescentAdultAgedAged, 80 and overBiomarkersBody Mass IndexC-Reactive ProteinCross-Sectional StudiesFemaleHumansInflammationMaleMiddle AgedNutrition SurveysBiomarkersC-Reactive ProteinFlavonoids

Identifiers

PMID28504712
PMCPMC5518804

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.