Evidence map›Paper›PMID 24522444›Full record

ArticleThe American journal of clinical nutrition2014

Intake of trans fat and incidence of stroke in the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort.

James N Kiage, Peter D Merrill, Suzanne E Judd, Ka He, Loren Lipworth, Mary Cushman, Virginia J Howard, Edmond K Kabagambe

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
6.7field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Observational
  5. Fat Quality Index and Risk of Cardiovascular Disease in the Sun Project.The journal of nutrition, health & aging · 2018
    Article
  6. Article
  7. Observational
  8. PlasmaThe Journal of nutrition · 2017
    Article
  9. Article
  10. Article
  11. Review
  12. 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 at 3 institutions in 1 country.

James N KiageDivision of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (JNK, LL, and EKK); the Departments of Epidemiology (VJH) and Biostatistics (PDM and SEJ), School of Public Health, University of Alabama at Birmingham, Birmingham, AL; the Department of Epidemiology and Biostatistics, School of Public Health, Indiana University, Bloomington, IN (KH); and the Departments of Medicine and Pathology, College of Medicine, University of Vermont, Burlington, VT (MC).
Peter D Merrill
Suzanne E Judd
Ka He
Loren Lipworth
Mary Cushman
Virginia J Howard
Edmond K Kabagambe
University of Vermont · USUniversity of Alabama at Birmingham · USIndiana University Bloomington · US

Funding

VCID and Stroke in a Bi-racial National CohortU01NS041588 · NINDS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI CUSHMAN, MARY, HOWARD, GEORGE · 2002 to 2022
$96.0M
Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
NCATS NIH HHS UL1 TR001108NINDS NIH HHS U01 NS041588
6 · The paper itself

Abstract

backgroundWhether elevated intakes of trans fatty acids (TFAs) increase the risk of stroke remains unclear. Except for the Women's Health Initiative-Observational Study, most studies that directly assessed the association between TFA intake and stroke yielded null results.

objectiveThe aim of this study was to investigate the association between TFA intake and stroke incidence.

designWe prospectively investigated the association between TFA intake and stroke incidence in black and white men and women (n = 17,107) from the REasons for Geographic And Racial Differences in Stroke (REGARDS) cohort. Participants were recruited between 2003 and 2007 from the continental United States and followed for incident stroke. Diet was assessed by using the Block 1998 food-frequency questionnaire. Cox regression was used to test whether energy-adjusted TFA intake in 1-SD increments was associated with incident stroke.

resultsDuring a median follow-up of 7 y, 479 strokes were identified, including 401 ischemic strokes. Sex modified the association between TFA intake and stroke (P-interaction = 0.06), and thus the results were stratified by sex. In fully adjusted models, a 1-SD (2-g/d) increase in TFA intake was associated with an increased risk of any stroke in men (HR: 1.14; 95% CI: 1.02, 1.28) but not in women (HR: 0.93; 95% CI: 0.79, 1.11). Similarly, our results showed an increased risk of ischemic stroke in men (HR: 1.13; 95% CI: 1.00, 1.28) but not in women (HR: 0.93; 95% CI: 0.77, 1.12).

conclusionsWe show that sex modifies the association between TFA intake and stroke; for every 2-g/d increase in TFA intake, there was a 14% increase in the risk of stroke in men but not in women. Our findings provide further evidence to support the concerted effort to minimize TFAs in the diet.

Indexed as

AgedDietFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedNutrition AssessmentProportional Hazards ModelsProspective StudiesRisk FactorsStrokeSurveys and QuestionnairesTrans Fatty AcidsUnited StatesTrans Fatty Acids

Identifiers

PMID24522444
PMCPMC3985212
OpenAlexW2080453771

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.