Evidence map›Paper›PMID 31189526›Full record

ArticleBMJ (Clinical research ed.)2019

Association of changes in red meat consumption with total and cause specific mortality among US women and men: two prospective cohort studies.

Yan Zheng, Yanping Li, Ambika Satija, An Pan, Mercedes Sotos-Prieto, Eric Rimm, Walter C Willett, Frank B Hu

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed, 6 pooled it
–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

91 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
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  18. Gut microbes with theGut microbes · 2025
    Article
  19. Therapeutic Potential of White Kidney Beans (Foods (Basel, Switzerland) · 2025
    Review
  20. Article

31 more citing papers are in PubMed but not listed here.

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

8 authors.

Yan ZhengDepartment of Cardiology, State Key Laboratory of Genetic Engineering, School of Life Sciences and Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0003-1129-3147
Yanping LiDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Ambika SatijaDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
An PanDepartment of Epidemiology and Biostatistics, and Ministry of Education Key Laboratory of Environment and Health, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Mercedes Sotos-PrietoDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eric RimmDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Walter C WillettDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Frank B HuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA fhu@hsph.harvard.edu.

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
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
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
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
Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Genetic Markers of CHD in Type 2 DiabetesR01HL071981 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI QI, LU · 2003 to 2012
$4.9M
Obesity Genes, Energy Regulation in Response to Weight-Loss DietsR01DK091718 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2012 to 2021
$4.5M
Weight-Loss Diet Intervention on Cardiometabolic Factors of Gut MicrobiotaR01DK100383 · NIDDK · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2014 to 2024
$4.2M
Circulating plasma metabolites, diet, and risk of type 2 diabetesR01DK112940 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B, MORA, SAMIA · 2018 to 2021
$2.9M
Genome-wide interactions with diet patterns on long-term weight changeR21HL126024 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI QI, LU · 2015 to 2016
$421k
NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL071981NHLBI NIH HHS R21 HL126024NIDDK NIH HHS P30 DK046200NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK091718NIDDK NIH HHS R01 DK100383NIDDK NIH HHS R01 DK112940
6 · The paper itself

Abstract

objectiveTo evaluate the association of changes in red meat consumption with total and cause specific mortality in women and men.

designTwo prospective cohort studies with repeated measures of diet and lifestyle factors.

settingNurses' Health Study and the Health Professionals Follow-up Study, United States.

participants53 553 women and 27 916 men without cardiovascular disease or cancer at baseline.

main outcome measureDeath confirmed by state vital statistics records, the national death index, or reported by families and the postal system.

results14 019 deaths occurred during 1.2 million person years of follow-up. Increases in red meat consumption over eight years were associated with a higher mortality risk in the subsequent eight years among women and men (both P for trend<0.05, P for heterogeneity=0.97). An increase in total red meat consumption of at least half a serving per day was associated with a 10% higher mortality risk (pooled hazard ratio 1.10, 95% confidence interval 1.04 to 1.17). For processed and unprocessed red meat consumption, an increase of at least half a serving per day was associated with a 13% higher mortality risk (1.13, 1.04 to 1.23) and a 9% higher mortality risk (1.09, 1.02 to 1.17), respectively. A decrease in consumption of processed or unprocessed red meat of at least half a serving per day was not associated with mortality risk. The association between increased red meat consumption and mortality risk was consistent across subgroups defined by age, physical activity, dietary quality, smoking status, or alcohol consumption.

conclusionIncreases in red meat consumption, especially processed meat, were associated with higher overall mortality rates.

Indexed as

Feeding BehaviorAdultAgedCause of DeathFemaleFollow-Up StudiesHealth PersonnelHumansLife StyleMaleMiddle AgedProportional Hazards ModelsProspective StudiesRed MeatRisk FactorsSurveys and Questionnaires

Identifiers

PMID31189526
PMCPMC6559336

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.