Evidence map›Paper›PMID 28267855›Full record

ArticleJAMA2017

Association Between Dietary Factors and Mortality From Heart Disease, Stroke, and Type 2 Diabetes in the United States.

Renata Micha, Jose L Peñalvo, Frederick Cudhea, Fumiaki Imamura, Colin D Rehm, Dariush Mozaffarian

4 registry-linked trialsAbstract read
In one paragraph

Article in JAMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 4 registered trials, which are not on this map. Cited by 592 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
592citing papers in PubMed, 6 pooled it
101.9field-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.

NCT03805373 completednot on this mapstarted 2019, after this paper: background citation

Validation of a Diet Risk Screening Tool

TypeobservationalSponsorPenn State UniversityRan2019 to 2020Enrolled125ConditionsNutrition, Diet Modification, Preventive Medicine, Cardiovascular DiseasesArmsDiet Assessment Survey
NCT05936476 unknown statusnot on this mapstarted 2023, after this paper: background citation

Influence of Different Types of Maxillomandibular Deformities on the Nutritional Status of Individuals: A Cross-sectional Study

TypeobservationalSponsorMarmara UniversityRan2023 to 2024Enrolled80ConditionsMaxillofacial Abnormalities
NCT06629610 narecruitingnot on this mapstarted 2024, after this paper: background citation

A Community-led Intervention (DAiLY) Promoting a Heart-healthy Diet and Active Lifestyle: The Yup'ik Way

TypeinterventionalSponsorOregon Health and Science UniversityRan2024 to 2029Enrolled368ConditionsHeart DiseaseArmsDAiLY
NCT07387289 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Eating Fruits and Vegetables With Pleasure! A Pilot Randomized Controlled Feasibility and Acceptability Assessment of a Nutritional Intervention Integrating Eating Pleasure to Promote Healthy Eating in Higher-Weight Adults

TypeinterventionalSponsorLaval UniversityRan2026 to 2026Enrolled88ConditionsHealthy EatingArmsEating fruits and vegetables with pleasure!
3 · Its place in the literature

Who cites it

592 citing papers in PubMed, 6 syntheses or guidelines pooled it, 1,163 citations in OpenAlex.

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  9. Feasibility of lifestyle interventions for cognition in adults with low education.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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532 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 2 countries.

Renata MichaTufts Friedman School of Nutrition Science and Policy, Boston, Massachusetts.
Jose L PeñalvoTufts Friedman School of Nutrition Science and Policy, Boston, Massachusetts.
Frederick CudheaTufts Friedman School of Nutrition Science and Policy, Boston, Massachusetts.
Fumiaki ImamuraMRC Epidemiology Unit, University of Cambridge, Cambridge, England.
Colin D RehmOffice of Community and Population Health, Montefiore Medical Center, Bronx, New York.
Dariush MozaffarianTufts Friedman School of Nutrition Science and Policy, Boston, Massachusetts.
Tufts University · USMontefiore Medical Center · USUniversity of Cambridge · GB

Funding

Cost-Effectiveness of Health System and State-Level Strategies to Improve Diet and Reduce Cardiometabolic DiseasesR01HL115189 · NHLBI · TUFTS UNIVERSITY BOSTON · PI DARIUSH MOZAFFARIAN · 2013 to 2026
$8.2M
Economic Analyses of Policy Strategies to Improve Diet and Reduce CVDR01HL130735 · NHLBI · TUFTS UNIVERSITY BOSTON · PI MICHA, EIRINI (RENATA) · 2016 to 2019
$3.1M
Medical Research Council MC_UU_12015/5NHLBI NIH HHS R01 HL115189NHLBI NIH HHS R01 HL130735
6 · The paper itself

Abstract

Importance: In the United States, national associations of individual dietary factors with specific cardiometabolic diseases are not well established. Objective: To estimate associations of intake of 10 specific dietary factors with mortality due to heart disease, stroke, and type 2 diabetes (cardiometabolic mortality) among US adults. Design, Setting, and Participants: A comparative risk assessment model incorporated data and corresponding uncertainty on population demographics and dietary habits from National Health and Nutrition Examination Surveys (1999-2002: n = 8104; 2009-2012: n = 8516); estimated associations of diet and disease from meta-analyses of prospective studies and clinical trials with validity analyses to assess potential bias; and estimated disease-specific national mortality from the National Center for Health Statistics. Exposures: Consumption of 10 foods/nutrients associated with cardiometabolic diseases: fruits, vegetables, nuts/seeds, whole grains, unprocessed red meats, processed meats, sugar-sweetened beverages (SSBs), polyunsaturated fats, seafood omega-3 fats, and sodium. Main Outcomes and Measures: Estimated absolute and percentage mortality due to heart disease, stroke, and type 2 diabetes in 2012. Disease-specific and demographic-specific (age, sex, race, and education) mortality and trends between 2002 and 2012 were also evaluated. Results: In 2012, 702 308 cardiometabolic deaths occurred in US adults, including 506 100 from heart disease (371 266 coronary heart disease, 35 019 hypertensive heart disease, and 99 815 other cardiovascular disease), 128 294 from stroke (16 125 ischemic, 32 591 hemorrhagic, and 79 578 other), and 67 914 from type 2 diabetes. Of these, an estimated 318 656 (95% uncertainty interval [UI], 306 064-329 755; 45.4%) cardiometabolic deaths per year were associated with suboptimal intakes-48.6% (95% UI, 46.2%-50.9%) of cardiometabolic deaths in men and 41.8% (95% UI, 39.3%-44.2%) in women; 64.2% (95% UI, 60.6%-67.9%) at younger ages (25-34 years) and 35.7% (95% UI, 33.1%-38.1%) at older ages (≥75 years); 53.1% (95% UI, 51.6%-54.8%) among blacks, 50.0% (95% UI, 48.2%-51.8%) among Hispanics, and 42.8% (95% UI, 40.9%-44.5%) among whites; and 46.8% (95% UI, 44.9%-48.7%) among lower-, 45.7% (95% UI, 44.2%-47.4%) among medium-, and 39.1% (95% UI, 37.2%-41.2%) among higher-educated individuals. The largest numbers of estimated diet-related cardiometabolic deaths were related to high sodium (66 508 deaths in 2012; 9.5% of all cardiometabolic deaths), low nuts/seeds (59 374; 8.5%), high processed meats (57 766; 8.2%), low seafood omega-3 fats (54 626; 7.8%), low vegetables (53 410; 7.6%), low fruits (52 547; 7.5%), and high SSBs (51 694; 7.4%). Between 2002 and 2012, population-adjusted US cardiometabolic deaths per year decreased by 26.5%. The greatest decline was associated with insufficient polyunsaturated fats (-20.8% relative change [95% UI, -18.5% to -22.8%]), nuts/seeds (-18.0% [95% UI, -14.6% to -21.0%]), and excess SSBs (-14.5% [95% UI, -12.0% to -16.9%]). The greatest increase was associated with unprocessed red meats (+14.4% [95% UI, 9.1%-19.5%]). Conclusions and Relevance: Dietary factors were estimated to be associated with a substantial proportion of deaths from heart disease, stroke, and type 2 diabetes. These results should help identify priorities, guide public health planning, and inform strategies to alter dietary habits and improve health.

Indexed as

Feeding BehaviorAdultAgedClinical Trials as TopicDiabetes Mellitus, Type 2Energy IntakeFemaleFruitHeart DiseasesHumansMaleMeatMeta-Analysis as TopicMiddle AgedNutrition SurveysNutsSodium, Dietary

Identifiers

PMID28267855
PMCPMC5852674
OpenAlexW2593977293

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.