Evidence map›Paper›PMID 35357453›Full record

ArticleJAMA network open2022

Intake and Sources of Dietary Fiber, Inflammation, and Cardiovascular Disease in Older US Adults.

Rupak Shivakoti, Mary L Biggs, Luc Djoussé, Peter Jon Durda, Jorge R Kizer, Bruce Psaty, Alex P Reiner, Russell P Tracy, David Siscovick, Kenneth J Mukamal

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 1 pooled it
14.8field-weighted citation impact, top 1% of its field
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

57 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 citations in OpenAlex.

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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

10 authors at 7 institutions in 1 country.

Rupak ShivakotiDepartment of Epidemiology, Columbia University Mailman School of Public Health, New York, New York.
Mary L BiggsDepartment of Biostatistics, University of Washington, Seattle.
Luc DjousséDivision of Aging, Brigham and Women's Hospital, Department of Medicine, Harvard Medical School, Boston, Massachusetts.
Peter Jon DurdaDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington.
Jorge R KizerCardiology Section, San Francisco Veterans Affairs Health Care System, San Francisco, California.
Bruce PsatyCardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle.
Alex P ReinerDepartment of Epidemiology, University of Washington, Seattle.
Russell P TracyDepartment of Pathology and Laboratory Medicine, Larner College of Medicine at the University of Vermont, Burlington.
David SiscovickNew York Academy of Medicine, New York.
Kenneth J MukamalDepartment of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts.
University of Washington · USUniversity of Vermont · USBeth Israel Deaconess Medical Center · USColumbia University · USNew York Academy of Medicine · USSan Francisco VA Health Care System · USVA Boston Healthcare System · US

Funding

Exceptional Survival: Trajectories to Functional Aging (CHS All Stars)R01AG023629 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B. · 2004 to 2016
$9.5M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
CHS research resources for the cardiovascular health of older adultsU01HL130114 · NHLBI · UNIVERSITY OF WASHINGTON · PI BURKE, GREGORY L, KRONMAL, RICHARD A · 2016 to 2019
$6.6M
CHS Events Follow-up StudyU01HL080295 · NHLBI · UNIVERSITY OF WASHINGTON · PI PSATY, BRUCE M · 2005 to 2008
$4.6M
Non-esterified Fatty Acids and Chronic Pain in Older AdultsK24AG065525 · NIA · BETH ISRAEL DEACONESS MEDICAL CENTER · PI MUKAMAL, KENNETH JAY · 2020 to 2024
$1.0M
MATERNAL INFLAMMATION, DIET AND GUT MICROBIOME IN HIV: IMPACT ON INFANT OUTCOMESR00HD089753 · NICHD · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI SHIVAKOTI, RUPAK · 2018 to 2020
$731k
NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS HHSN268201800001CNHLBI NIH HHS U01 HL080295NHLBI NIH HHS U01 HL130114NIA NIH HHS K24 AG065525NIA NIH HHS R01 AG023629NICHD NIH HHS R00 HD089753NIDDK NIH HHS P30 DK111022
6 · The paper itself

Abstract

Importance: Higher intake of dietary fiber has been associated with lower inflammation, but whether there are differences in this association by source of dietary fiber (ie, cereal, vegetable, or fruit) has not been studied to date. Objectives: To evaluate the associations of total fiber intake and source (ie, cereal, vegetable, and fruit fiber intake) with inflammation and to evaluate whether inflammation mediates the inverse association between dietary fiber intake and cardiovascular disease (CVD). Design, Setting, and Participants: At the baseline visit (1989-1990) of 4125 adults aged 65 years or older in an ongoing US cohort study, dietary intake was assessed by a food frequency questionnaire among study participants without prevalent CVD (stroke and myocardial infarction) at enrollment. Inflammation was assessed from blood samples collected at baseline with immunoassays for markers of inflammation. Multivariable linear regression models tested the association of dietary fiber intake with inflammation. Also assessed was whether each inflammatory marker and its composite derived from principal component analysis mediated the association of baseline cereal fiber intake with development of CVD (stroke, myocardial infarction, and atherosclerotic cardiovascular death) through June 2015. Data from June 1, 1989, through June 30, 2015, were analyzed. Exposures: Total fiber intake and sources of fiber (cereal, vegetable, and fruit). Main Outcomes and Measures: Systemic markers of inflammation. Cardiovascular disease was the outcome in the mediation analysis. Results: Of 4125 individuals, 0.1% (n = 3) were Asian or Pacific Islander, 4.4% (n = 183) were Black, 0.3% (n = 12) were Native American, 95.0% (n = 3918) were White, and 0.2% (n = 9) were classified as other. Among these 4125 individuals (2473 women [60%]; mean [SD] age, 72.6 [5.5] years; 183 Black individuals [4.4%]; and 3942 individuals of other races and ethnicitites [95.6%] [ie, race and ethnicity other than Black, self-classified by participant]), an increase in total fiber intake of 5 g/d was associated with significantly lower concentrations of C-reactive protein (adjusted mean difference, -0.05 SD; 95% CI, -0.08 to -0.01 SD; P = .007) and interleukin 1 receptor antagonist (adjusted mean difference, -0.04 SD; 95% CI, -0.07 to -0.01 SD; P < .02) but with higher concentrations of soluble CD163 (adjusted mean difference, 0.05 SD; 95% CI, 0.02-0.09 SD; P = .005). Among fiber sources, only cereal fiber was consistently associated with lower inflammation. Similarly, cereal fiber intake was associated with lower CVD incidence (adjusted hazard ratio, 0.90; 95% CI, 0.81-1.00; 1941 incident cases). The proportion of the observed association of cereal fiber with CVD mediated by inflammatory markers ranged from 1.5% for interleukin 18 to 14.2% for C-reactive protein, and 16.1% for their primary principal component. Conclusions and Relevance: Results of this study suggest that cereal fiber intake was associated with lower levels of various inflammatory markers and lower risk of CVD and that inflammation mediated approximately one-sixth of the association between cereal fiber intake and CVD.

Indexed as

Cardiovascular DiseasesAdultAgedCohort StudiesDietary FiberFemaleHumansInflammationMiddle AgedRisk FactorsDietary Fiber

Identifiers

PMID35357453
PMCPMC8972036
OpenAlexW4220665597

What OpenQuestion holds

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LicenceCC BY
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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.