Evidence map›Paper›PMID 32168861›Full record

ArticleNutrients2020

Stricter Adherence to Dietary Approaches to Stop Hypertension (DASH) and its Association with Lower Blood Pressure, Visceral Fat, and Waist Circumference in University Students.

Silvia Navarro-Prado, Jacqueline Schmidt-RioValle, Miguel A Montero-Alonso, Ángel Fernández-Aparicio, Emilio González-Jiménez

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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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

5 authors.

Silvia Navarro-PradoDepartment of Nursing, Faculty of Health Sciences, University of Granada, 52071 Melilla, Spain.
Jacqueline Schmidt-RioValleDepartment of Nursing, Faculty of Health Sciences, University of Granada, 60, 18016 Granada, Spain.
Miguel A Montero-AlonsoDepartment of Statistics and O.I. Faculty of Medicine, University of Granada, 18016 Granada, Spain.
Ángel Fernández-AparicioDepartment of Nursing, Faculty of Health Sciences, University of Granada, 60, 18016 Granada, Spain.
Emilio González-JiménezDepartment of Nursing, Faculty of Health Sciences, University of Granada, 60, 18016 Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How diet affects blood pressure (BP) in young adults has not been studied in sufficient depth. For this purpose, we analyzed adherence to the Dietary Approaches to Stop Hypertension (DASH) dietary pattern and BP in Spanish university students. The sample population of our cross-sectional study consisted of 244 subjects (18-31 years old), who were in good health. Measurements were taken of their systolic and diastolic BP. A food frequency questionnaire and 72 h food record were used to assess their dietary intake in the previous year. The resulting DASH score was based on foodstuffs that were emphasized or minimized in the DASH diet. Analysis of covariance adjusted for potential confounding factors showed that the mean values for systolic BP, visceral fat rating, and waist circumference (WC) of the subjects in the upper third of the DASH score were significantly lower than those of the subjects in the lower third (for systolic BP: mean difference -4.36 mmHg,

Indexed as

Blood PressureGuideline AdherenceIntra-Abdominal FatStudentsWaist CircumferenceAdolescentAdultCross-Sectional StudiesDietDietary Approaches To Stop HypertensionExerciseFeeding BehaviorFemaleHumansMalePublic Health Surveillanceblood pressureDietary Approaches to Stop Hypertension (DASH)eating habitsuniversity studentsyoung adults

Identifiers

PMID32168861
PMCPMC7146277

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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.