Evidence map›Paper›PMID 33153576›Full record

Observational studyJournal of the American College of Cardiology2020

Dietary Inflammatory Potential and Risk of Cardiovascular Disease Among Men and Women in the U.S.

Jun Li, Dong Hoon Lee, Jie Hu, Fred K Tabung, Yanping Li, Shilpa N Bhupathiraju, Eric B Rimm, Kathryn M Rexrode, JoAnn E Manson, Walter C Willett and 2 more

Open access · greenAbstract readObservational Study
In one paragraph

Observational study in Journal of the American College of Cardiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 134 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
134citing papers in PubMed, 4 pooled it
21.8field-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

134 citing papers in PubMed, 4 syntheses or guidelines pooled it, 230 citations in OpenAlex.

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  4. Dietary Inflammatory Index in relation to Type 2 Diabetes: A Meta-Analysis.International journal of clinical practice · 2022
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74 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Jun LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Dong Hoon LeeDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jie HuDivision of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Fred K TabungDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, Columbus, Ohio.
Yanping LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Shilpa N BhupathirajuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Eric B RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Kathryn M RexrodeDivision of Women's Health, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
JoAnn E MansonDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts; Mary Horrigan Connors Center for Women's Health and Gender Biology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Edward L GiovannucciDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. Electronic address: nhbfh@channing.harvard.edu.
Brigham and Women's Hospital · USHarvard University · US

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI GREENBERG, ANDREW S, PERISSI, VALENTINA · 1992 to 2021
$25.0M
Life Course Cancer Epidemiology Cohort in WomenU01CA176726 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI ELIASSEN, A. HEATHER, WILLETT, WALTER C. · 2018 to 2025
$22.4M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
BIOCHEMICAL MARKERS IN THE NURSES'HEALTH STUDY COHORTR01CA049449 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI HANKINSON, SUSAN E · 1989 to 2008
$11.3M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
DIETARY PATTERNS AND RISK OF CARDIOVASCULAR DISEASER01HL060712 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI HU, FRANK B, QI, QIBIN · 1998 to 2021
$8.0M
Pro-inflammatory and Hyper-insulinemic Dietary Patterns and Colorectal Cancer Risk: Role of the MetabolomeR00CA207736 · NCI · OHIO STATE UNIVERSITY · PI TABUNG, FRED KINYUY · 2018 to 2020
$747k
Chronic Inflammation and Type 2 Diabetes: A Multi-omics ApproachK99DK122128 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI LI, JUN · 2019 to 2021
$249k
NCI NIH HHS R00 CA207736NCI NIH HHS R01 CA049449NCI NIH HHS U01 CA167552NCI NIH HHS U01 CA176726NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL088521NIDDK NIH HHS K99 DK122128NIDDK NIH HHS P30 DK046200
6 · The paper itself

Abstract

backgroundInflammation plays an important role in cardiovascular disease (CVD) development. Diet modulates inflammation; however, it remains unknown whether dietary patterns with higher inflammatory potential are associated with long-term CVD risk.

objectivesThis study sought to examine whether proinflammatory diets are associated with increased CVD risk.

methodsWe prospectively followed 74,578 women from the Nurses' Health Study (NHS) (1984-2016), 91,656 women from the NHSII (1991-2015), and 43,911 men from the Health Professionals Follow-up Study (1986-2016) who were free of CVD and cancer at baseline. Diet was assessed by food frequency questionnaires every 4 years. The inflammatory potential of diet was evaluated using a food-based empirical dietary inflammatory pattern (EDIP) score that was pre-defined based on levels of 3 systemic inflammatory biomarkers.

resultsDuring 5,291,518 person-years of follow-up, we documented 15,837 incident CVD cases, including 9,794 coronary heart disease (CHD) cases and 6,174 strokes. In pooled analyses of the 3 cohorts, after adjustment for use of anti-inflammatory medications and CVD risk factors including body mass index, a higher dietary inflammatory potential, as indicated by higher EDIP scores, was associated with an increased risk of CVD (hazard ratio [HR] comparing the highest to lowest quintiles: 1.38; 95% confidence interval [CI]: 1.31 to 1.46; p for trend <0.001), CHD (HR: 1.46; 95% CI: 1.36 to 1.56; p for trend <0.001), and stroke (HR: 1.28; 95% CI: 1.17- to 1.39; p for trend <0.001). These associations were consistent across cohorts and between sexes, and they remained significant after further adjustment for other dietary quality indices. In a subset of study participants (n = 33,719), a higher EDIP was associated with a higher circulating profile of proinflammatory biomarkers, lower levels of adiponectin, and an unfavorable blood lipid profile (p < 0.001).

conclusionsDietary patterns with a higher proinflammatory potential were associated with higher CVD risk. Reducing the inflammatory potential of the diet may potentially provide an effective strategy for CVD prevention.

Indexed as

AdultAgedBiomarkersCardiovascular DiseasesCohort StudiesDietDietary CarbohydratesDietary SugarsDiet, MediterraneanEnergy IntakeFemaleFollow-Up StudiesHumansInflammation MediatorsMaleMiddle AgedBiomarkersDietary CarbohydratesDietary SugarsInflammation Mediatorscardiovascular diseasechronic inflammationcoronary heart diseasedietary patternspredictive biomarkersstroke

Identifiers

PMID33153576
PMCPMC7745775
OpenAlexW3094776117

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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.