Evidence map›Paper›PMID 31717283›Full record

ArticleNutrients2019

Deriving the Dietary Approaches to Stop Hypertension (DASH) Score in Women from Seven Pregnancy Cohorts from the European ALPHABET Consortium.

Adrien M Aubert, Anne Forhan, Blandine de Lauzon-Guillain, Ling-Wei Chen, Kinga Polanska, Wojciech Hanke, Agnieszka Jankowska, Sara M Mensink-Bout, Liesbeth Duijts, Matthew Suderman and 9 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
3.8field-weighted citation impact, top 7% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

  1. Pooled it
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  9. Socioecological correlates of parental lifestyle patterns during the antenatal period.The international journal of behavioral nutrition and physical activity · 2025
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  20. A review of harmonization methods for studying dietary patterns.Smart health (Amsterdam, Netherlands) · 2022
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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

19 authors at 7 institutions in 6 countries.

Adrien M AubertCentre for Research in Epidemiology and StatisticS (CRESS), Université de Paris, Inserm, Inra, F-75004 Paris, France.
Anne ForhanCentre for Research in Epidemiology and StatisticS (CRESS), Université de Paris, Inserm, Inra, F-75004 Paris, France.
Blandine de Lauzon-GuillainCentre for Research in Epidemiology and StatisticS (CRESS), Université de Paris, Inserm, Inra, F-75004 Paris, France.ORCID 0000-0001-5887-8842
Ling-Wei ChenHRB Centre for Health and Diet Research, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.ORCID 0000-0002-2661-8752
Kinga PolanskaDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.ORCID 0000-0002-3212-2307
Wojciech HankeDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.ORCID 0000-0001-7162-2569
Agnieszka JankowskaDepartment of Environmental Epidemiology, Nofer Institute of Occupational Medicine, 91-348 Lodz, Poland.
Sara M Mensink-BoutThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
Liesbeth DuijtsThe Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, 3000 CA Rotterdam, The Netherlands.
Matthew SudermanMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.ORCID 0000-0002-2715-9930
Caroline L ReltonMRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 2BN, UK.
Sarah R CrozierMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK.ORCID 0000-0002-9524-1127
Nicholas C HarveyMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK.
Cyrus CooperMRC Lifecourse Epidemiology Unit, University of Southampton, Southampton General Hospital Southampton, Southampton SO16 6YD, UK.ORCID 0000-0003-3510-0709
Fionnuala M McAuliffeUCD Perinatal Research Centre, School of Medicine, University College Dublin, National Maternity Hospital, Dublin 2, Ireland.
Cecily C KelleherHRB Centre for Health and Diet Research, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.
Catherine M PhillipsHRB Centre for Health and Diet Research, School of Public Health, Physiotherapy, and Sports Science, University College Dublin, Belfield, Dublin 4, Ireland.ORCID 0000-0003-4916-4463
Barbara HeudeCentre for Research in Epidemiology and StatisticS (CRESS), Université de Paris, Inserm, Inra, F-75004 Paris, France.ORCID 0000-0002-1565-1629
Jonathan Y BernardCentre for Research in Epidemiology and StatisticS (CRESS), Université de Paris, Inserm, Inra, F-75004 Paris, France.ORCID 0000-0002-6418-983X
Inserm · FRUniversity College Dublin · IENofer Institute of Occupational Medicine · PLSouthampton General Hospital · GBErasmus MC · NLUniversity of Bristol · GBAgency for Science, Technology and Research · SG

Funding

Biotechnology and Biological Sciences Research Council ERA-HDHL Biomarkers: BBSRC: BB/P028179/1 and BB/P028187/1Department of Health 10/33/04Medical Research Council G9815508Medical Research Council MC_PC_19009Medical Research Council MC_U147585819Medical Research Council MC_U147585824Medical Research Council MC_U147585827Science Foundation Ireland SFI/16/ERA-HDHL/3360Versus Arthritis 17702ZonMw no 529051014; 2017
6 · The paper itself

Abstract

The ALPHABET consortium aims to examine the interplays between maternal diet quality, epigenetics and offspring health in seven pregnancy/birth cohorts from five European countries. We aimed to use the Dietary Approaches to Stop Hypertension (DASH) score to assess diet quality, but different versions have been published. To derive a single DASH score allowing cross-country, cross-cohort and cross-period comparison and limiting data heterogeneity within the ALPHABET consortium, we harmonised food frequency questionnaire (FFQ) data collected before and during pregnancy in ≥26,500 women. Although FFQs differed strongly in length and content, we derived a consortium DASH score composed of eight food components by combining the prescriptive original DASH and the DASH described by Fung et al. Statistical issues tied to the nature of the FFQs led us to re-classify two food groups (grains and dairy products). Most DASH food components exhibited pronounced between-cohort variability, including non-full-fat dairy products (median intake ranging from 0.1 to 2.2 servings/day), sugar-sweetened beverages/sweets/added sugars (0.3-1.7 servings/day), fruits (1.1-3.1 servings/day), and vegetables (1.5-3.6 servings/day). We successfully developed a harmonized DASH score adapted to all cohorts being part of the ALPHABET consortium. This methodological work may benefit other research teams in adapting the DASH to their study's specificities.

Indexed as

Dietary Approaches To Stop HypertensionDiet, HealthyMaternal Nutritional Physiological PhenomenaNutritional StatusNutritive ValueDiet SurveysEuropeFeeding BehaviorFemaleHumansNutrition AssessmentPregnancyRecommended Dietary AllowancesDASH (Dietary Approaches to Stop Hypertension)dietnutritionpregnancy

Identifiers

PMID31717283
PMCPMC6893477
OpenAlexW2984248260

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.