Evidence map›Paper›PMID 39551355›Full record

ArticleThe American journal of clinical nutrition2025

Changes in fatty acid intake and subsequent risk of all-cause and cause-specific mortality in males and females: a prospective cohort study.

Yuxi Liu, Xiao Gu, Yanping Li, Eric B Rimm, Walter C Willett, Meir J Stampfer, Frank B Hu, Dong D Wang

Abstract read
In one paragraph

Article in The American journal of clinical nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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

6 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
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.

Yuxi LiuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Xiao GuDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Yanping LiDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Eric B RimmChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Walter C WillettChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Meir J StampferChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States.
Frank B HuChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States. Electronic address: fhu@hsph.harvard.edu.
Dong D WangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, United States. Electronic address: dow471@mail.harvard.edu.

Funding

Towards Precision Nutrition for Alzheimer's Dementia Prevention: A Prospective Study of Dietary Patterns, the Gut Microbiome and Cognitive FunctionR01AG077489 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI Dong Wang · 2022 to 2026
$4.4M
The Gut Microbiome and Personalized Mediterranean Diet Interventions for Cardiometabolic Disease PreventionR01NR019992 · NINR · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, DONG · 2021 to 2025
$3.8M
The Microbiome-Gut-Brain Axis and Personalized Mediterranean Diet Interventions for Alzheimer's Dementia PreventionRF1AG083764 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI CORELLA, DOLORES, RUIZ-CANELA, MIGUEL · 2024 to 2024
$2.5M
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesR00DK119412 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI WANG, DONG · 2020 to 2022
$747k
Mediterranean Diet, Polyphenol-Rich Foods, Gut Microbiota and Type 2 DiabetesK99DK119412 · NIDDK · HARVARD SCHOOL OF PUBLIC HEALTH · PI WANG, DONG · 2018 to 2019
$181k
NIA NIH HHS R01 AG077489NIA NIH HHS RF1 AG083764NIDDK NIH HHS K99 DK119412NIDDK NIH HHS R00 DK119412NINR NIH HHS R01 NR019992
6 · The paper itself

Abstract

backgroundThe associations between changes in fatty acid intake over time and subsequent mortality are unclear.

objectivesThe objective of this study was to prospectively examine associations between changes in fatty acid intake (as percentage of total energy) and mortality.

methodsAmong 65,179 adults from the Nurses' Health Study and Health Professionals Follow-up Study, free from cardiovascular disease, cancer, and diabetes at baseline in 1994, we documented 20,571 deaths through 2020 (1,334,603 person-years). Diets were assessed every 4 years using validated questionnaires. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality risk were estimated from Cox proportional hazards models.

resultsA 5% energy increment in total fat intake was associated with 5% lower all-cause mortality (HR: 0.95; 95% CI: 0.93, 0.96; isocaloric comparison was total carbohydrate). The HRs of all-cause mortality (95% CI) were 0.83 (0.78, 0.89) and 0.91 (0.87, 0.94) for a 5% increment in energy intake from polyunsaturated fatty acid (PUFA) and monounsaturated fatty acid (MUFA), respectively, and was 1.10 (1.04, 1.17) for a 1% increase in energy intake from trans fatty acid (TFA; all P

conclusionsThese findings support replacing SFA with unsaturated fatty acids (especially from plant sources) and eliminating dietary TFA to reduce premature death.

Indexed as

Dietary FatsFatty AcidsAdultAgedCause of DeathCohort StudiesDietFemaleFollow-Up StudiesHumansMaleMiddle AgedMortalityProportional Hazards ModelsProspective StudiesRisk FactorsDietary FatsFatty Acidsall-cause mortalitycause-specific mortalitychanges in dietary intakemonounsaturated fatpolyunsaturated fatsaturated fattrans fat

Identifiers

PMID39551355
PMCPMC11748121

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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.