Evidence map›Paper›PMID 38719536›Full record

ArticleBMJ (Clinical research ed.)2024

Association of ultra-processed food consumption with all cause and cause specific mortality: population based cohort study.

Zhe Fang, Sinara Laurini Rossato, Dong Hang, Neha Khandpur, Kai Wang, Chun-Han Lo, Walter C Willett, Edward L Giovannucci, Mingyang Song

Abstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  18. Plant-based analogues to meat and dairy for sustainable food systems.The Proceedings of the Nutrition Society · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Zhe FangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Sinara Laurini RossatoLaboratory of Research and Extension in Epidemiology (Lapex-Epi), Institute of Geography, Universidade Federal de Uberlândia, Uberlândia, MG, Brazil.
Dong HangDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Neha KhandpurDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Kai WangDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Chun-Han LoDepartment of Internal Medicine, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, NV, USA.
Walter C WillettDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Edward L GiovannucciDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Mingyang SongDepartment of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA msong@hsph.harvard.edu.ORCID 0000-0002-1324-0316

Funding

Dietary prevention for colorectal cancer: targeting the bile acid/gut microbiome axisK99CA283146 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, KAI · 2023 to 2024
$244k
NCI NIH HHS K99 CA283146
6 · The paper itself

Abstract

objectiveTo examine the association of ultra-processed food consumption with all cause mortality and cause specific mortality.

designPopulation based cohort study.

settingFemale registered nurses from 11 US states in the Nurses' Health Study (1984-2018) and male health professionals from all 50 US states in the Health Professionals Follow-up Study (1986-2018).

participants74 563 women and 39 501 men with no history of cancer, cardiovascular diseases, or diabetes at baseline.

main outcome measuresMultivariable Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals for the association of ultra-processed food intake measured by semiquantitative food frequency questionnaire every four years with all cause mortality and cause specific mortality due to cancer, cardiovascular, and other causes (including respiratory and neurodegenerative causes).

results30 188 deaths of women and 18 005 deaths of men were documented during a median of 34 and 31 years of follow-up, respectively. Compared with those in the lowest quarter of ultra-processed food consumption, participants in the highest quarter had a 4% higher all cause mortality (hazard ratio 1.04, 95% confidence interval 1.01 to 1.07) and 9% higher mortality from causes other than cancer or cardiovascular diseases (1.09, 1.05 to 1.13). The all cause mortality rate among participants in the lowest and highest quarter was 1472 and 1536 per 100 000 person years, respectively. No associations were found for cancer or cardiovascular mortality. Meat/poultry/seafood based ready-to-eat products (for example, processed meat) consistently showed strong associations with mortality outcomes (hazard ratios ranged from 1.06 to 1.43). Sugar sweetened and artificially sweetened beverages (1.09, 1.07 to 1.12), dairy based desserts (1.07, 1.04 to 1.10), and ultra-processed breakfast food (1.04, 1.02 to 1.07) were also associated with higher all cause mortality. No consistent associations between ultra-processed foods and mortality were observed within each quarter of dietary quality assessed by the Alternative Healthy Eating Index-2010 score, whereas better dietary quality showed an inverse association with mortality within each quarter of ultra-processed foods.

conclusionsThis study found that a higher intake of ultra-processed foods was associated with slightly higher all cause mortality, driven by causes other than cancer and cardiovascular diseases. The associations varied across subgroups of ultra-processed foods, with meat/poultry/seafood based ready-to-eat products showing particularly strong associations with mortality.

Indexed as

Cardiovascular DiseasesCause of DeathFood, ProcessedNeoplasmsAdultAgedCohort StudiesFemaleFood HandlingHumansMaleMiddle AgedMortalityProportional Hazards ModelsRisk FactorsUnited States

Identifiers

PMID38719536
PMCPMC11077436

What Socratic holds

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LicenceCC BY-NC
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Registered trials

None linked

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 Socratic graph.