Evidence map›Paper›PMID 25411278›Full record

ArticleThe American journal of clinical nutrition2014

Circulating biomarkers of dairy fat and risk of incident stroke in U.S. men and women in 2 large prospective cohorts.

Mohammad Y Yakoob, Peilin Shi, Frank B Hu, Hannia Campos, Kathryn M Rexrode, E John Orav, Walter C Willett, Dariush Mozaffarian

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
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 39 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 7 pooled it
8.4field-weighted citation impact, top 2% 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.

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3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 7 syntheses or guidelines pooled it, 89 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 1 institution in 1 country.

Mohammad Y YakoobFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Peilin ShiFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Frank B HuFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Hannia CamposFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Kathryn M RexrodeFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
E John OravFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Walter C WillettFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Dariush MozaffarianFrom the Departments of Epidemiology (MYY, PS, and DM) and Nutrition (FBH, HC, and WCW), Harvard School of Public Health, Boston, MA; the Divisions of Preventive Medicine (KMR) and General Internal Medicine (EJO), Brigham and Women's Hospital and Harvard Medical School, Boston, MA; and the Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (DM).
Tufts University · US

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ROSNER, BERNARD A · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI RIMM, ERIC B · 1991 to 2009
$41.8M
Cancer Epidemiology Cohort in Male Health ProfessionalsU01CA167552 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI Lorelei Mucci, Walter C. Willett · 2017 to 2026
$17.0M
RISK FACTORS FOR CVD IN WOMENR01HL034594 · NHLBI · TULANE UNIVERSITY OF LOUISIANA · PI JoAnn Elisabeth Manson, Lu Qi · 1985 to 2026
$13.8M
Dietary Etiology of Heart DiseaseR01HL035464 · NHLBI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI ERIC B RIMM, Qi Sun · 1986 to 2026
$13.6M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Risk Factors for Ischemic Stroke in WomenR01HL088521 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI REXRODE, KATHRYN M · 2008 to 2025
$9.9M
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
BIOCHEMICAL AND GENETIC MARKERS OF TYPE 2 DIABETES RISKR01DK058845 · NIDDK · BRIGHAM AND WOMEN'S HOSPITAL · PI HU, FRANK B · 2001 to 2013
$7.8M
Mercury, Selenium, and Risk of Cardiovascular Disease in Women and MenR01ES014433 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI MOZAFFARIAN, DARIUSH · 2007 to 2011
$4.0M
Health Effects of Lifetime Exposure to Food ContaminantsR01ES013692 · NIEHS · HARVARD SCHOOL OF PUBLIC HEALTH · PI GRANDJEAN, PHILIPPE ADAM · 2006 to 2009
$1.1M
NCI NIH HHS CA-167552NCI NIH HHS CA-55075NCI NIH HHS CA-87969NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NHLBI NIH HHS HL-088521NHLBI NIH HHS HL-34594NHLBI NIH HHS HL-35464NHLBI NIH HHS HL-60712NHLBI NIH HHS R01 HL034594NHLBI NIH HHS R01 HL035464NHLBI NIH HHS R01 HL060712NHLBI NIH HHS R01 HL088521NIDDK NIH HHS DK-58845NIDDK NIH HHS R01 DK058845NIEHS NIH HHS ES013692NIEHS NIH HHS R01 ES014433NIEHS NIH HHS R01-ES014433
6 · The paper itself

Abstract

backgroundPrevious observational studies of self-reported dairy product consumption and stroke risk have reported mixed findings. Few studies have used circulating biomarkers that provide objective measures of dairy fat intake.

objectivesWe tested the hypothesis that the circulating biomarkers of dairy fat, pentadecanoic acid (15:0), heptadecanoic acid (17:0), and trans palmitoleate (trans 16:1n-7), were associated with lower incidence of stroke, especially ischemic stroke. Secondarily, we evaluated 14:0, which is obtained from dairy products and beef, and also endogenously synthesized.

designIn participants from 2 large US cohorts (the Health Professionals Follow-Up Study: 51,529 men; the Nurses' Health Study: 121,700 women) with stored blood samples in 1993-1994 (n = 18,225) and 1989-1990 (n = 32,826), respectively, we prospectively identified 594 incident stroke cases (median follow-up: 8.3 y) and matched them 1:1 to risk-set-sampled control subjects by age, sex, race, and smoking. Total plasma and red blood cell (RBC) fatty acids were measured by using gas-liquid chromatography. Covariates were assessed by using validated questionnaires. Stroke events and subtypes were adjudicated by using medical records or other supporting documentation. We used conditional logistic regression to estimate associations of fatty acids with incident stroke, and cohort-specific findings were combined by inverse-variance weights.

resultsAfter adjustment for demographic characteristics, lifestyle, cardiovascular disease risk factors, diet, and other circulating fatty acids, no significant associations with total stroke were seen for plasma 15:0 (pooled HR for highest compared with lowest quartiles: 0.85; 95% CI: 0.54, 1.33), 17:0 (0.99; 0.67, 1.49), trans 16:1 n-7 (0.89; 0.55, 1.45), or 14:0 (1.05; 0.62, 1.78). Results were similar for ischemic and hemorrhagic stroke subtypes, for RBC fatty acids, and in several different sensitivity analyses.

conclusionIn 2 large prospective cohorts, circulating biomarkers of dairy fat were not significantly associated with stroke.

Indexed as

Dairy ProductsAgedBiomarkersCase-Control StudiesDietDietary FatsFatty AcidsFatty Acids, MonounsaturatedFeeding BehaviorFemaleFollow-Up StudiesHumansIncidenceLogistic ModelsMaleMiddle AgedBiomarkersDietary FatsFatty AcidsFatty Acids, Monounsaturatedmargaric acidpalmitoleic acidpentadecanoic acidbiomarkersdairy fathemorrhagic strokeheptadecanoic acidischemic strokepentadecanoic acidred blood cellstroketotal plasmatrans-palmitoleate

Identifiers

PMID25411278
PMCPMC4232012
OpenAlexW1975711773

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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.