Evidence map›Paper›PMID 25201893›Full record

Trial reportHypertension (Dallas, Tex. : 1979)2014

Blood pressure differences associated with Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART)-like diet compared with a typical American Diet.

John Molitor, Ian J Brown, Queenie Chan, Michail Papathomas, Silvia Liverani, NuooTing Molitor, Sylvia Richardson, Linda Van Horn, Martha L Daviglus, Alan Dyer and 3 more

Abstract readComparative StudyMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Hypertension (Dallas, Tex. : 1979), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. Review
  11. Article
  12. An Update on Nutrients and Blood Pressure.Journal of atherosclerosis and thrombosis · 2016
    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

13 authors.

John MolitorFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.). p.elliott@imperial.ac.uk john.molitor@oregonstate.edu.
Ian J BrownFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Queenie ChanFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Michail PapathomasFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Silvia LiveraniFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
NuooTing MolitorFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Sylvia RichardsonFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Linda Van HornFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Martha L DaviglusFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Alan DyerFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Jeremiah StamlerFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.).
Paul ElliottFrom the Department of Epidemiology and Biostatistics, School of Public Health (J.M., I.J.B., Q.C., S.L., N.M., P.E.), MRC-HPA Centre for Environment and Health (Q.C., P.E.), Imperial College London, London, United Kingdom; College of Public Health and Human Sciences, Oregon State University, Corvallis (J.M.); School of Mathematics and Statistics, University of St Andrews, St Andrews, United Kingdom (M.P.); MRC Biostatistics Unit, Cambridge, United Kingdom (S.L., S.R.); and Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (L.V.H., M.L.D., A.D., J.S.). p.elliott@imperial.ac.uk john.molitor@oregonstate.edu.
INTERMAP Research Group

Funding

INTL POPULATION STUDY ON MACRONUTRIENTS AND BP INTERMAPR01HL050490 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DAVIGLUS, MARTHA L, ELLIOTT, PAUL · 1995 to 2013
$7.3M
Medical Research Council G0901841Medical Research Council MC_UP_0801/1NHLBI NIH HHS R01 HL050490
6 · The paper itself

Abstract

The Dietary Approaches to Stop Hypertension-Sodium (DASH-Sodium) trial demonstrated beneficial effects on blood pressure (BP) of the DASH diet with lower sodium intake when compared with typical American diet. The subsequent Optimal Macronutrient Intake Trial for Heart Health (OMNIHEART) trial reported additional BP benefits from replacing carbohydrate in the DASH diet with either protein or monounsaturated fats. The primary aim of this study is to assess possible BP benefits of an OMNIHEART-like diet in free-living Americans using cross-sectional US population data of the International Study of Macronutrients, Micronutrients and Blood Pressure (INTERMAP) study. The INTERMAP data include four 24-hour dietary recalls, 2 timed 24-hour urine collections, 8 BP readings for 2195 individuals aged 40 to 59 years from 8 US INTERMAP population samples. Analyses are conducted using 2 approaches: (1) regression of BP on a linear OMNIHEART nutrient score calculated for each individual and (2) a Bayesian approach comparing estimated BP levels of an OMNIHEART-like nutrient profile with a typical American nutrient profile. After adjustment for potential confounders, an OMNIHEART score higher by 1 point was associated with systolic/diastolic BP differences of -1.0/-0.5 mm Hg (both P<0.001). Mean systolic/diastolic BPs were 111.3/68.4 and 115.2/70.6 mm Hg for Bayesian OMNIHEART and Control profiles, respectively, after controlling for possible confounders, with BP differences of -3.9/-2.2 mm Hg, P(difference≤0)=0.98/0.96. Findings were comparable for men and women, for nonhypertensive participants, and with adjustment for antihypertensive treatment. Our findings from data on US population samples indicate broad generalizability of OMNIHEART results beyond the trial setting and support recommendations for an OMNIHEART-style diet for prevention/control of population-wide adverse BP levels.

Indexed as

Feeding BehaviorAdultBayes TheoremBlood PressureCross-Sectional StudiesDietary FatsDietary ProteinsFemaleGlobal HealthHumansHypertensionMaleMiddle AgedPrevalenceSodium, DietaryDietary FatsDietary ProteinsSodium, Dietaryblood pressurehypertensionnutrientsstatistics

Identifiers

PMID25201893
PMCPMC4230995

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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.