Evidence map›Paper›PMID 32863383›Full record

ArticleJournal of human hypertension2021

Chronobiologic assessment of the effect of the DASH diet on blood pressure.

Fatimatou Saka, Germaine Cornelissen

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human hypertension, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Fatimatou SakaHalberg Chronobiology Center, Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN, USA.
Germaine CornelissenHalberg Chronobiology Center, Department of Integrative Biology and Physiology, University of Minnesota, Minneapolis, MN, USA. corne001@umn.edu.ORCID http://orcid.org/0000-0002-1698-1590
University of Minnesota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study compares the effect of three diets on the circadian rhythm of blood pressure (BP). Hypertension and abnormal BP variability (BPV) are major risk factors leading to morbidity and mortality from cardiovascular disease. When detected early, a dietary approach may be preferred to medication. Data stemming from ambulatory BP monitoring (ABPM) from the Dietary Approaches to Stop Hypertension (DASH) study were re-analyzed from a chronobiologic perspective. Compared to the control diet (N = 112) that had no effect on BP (from 131.2/83.5 to 131.0/83.6 mmHg), both the Fruit and Vegetable (FV; N = 113) diet and the DASH (N = 113) diet were associated with a decrease in BP (FV: from 132.6/84.4 to 129.0/82.1 mmHg; DASH: from 131.9/83.6 to 127.2/80.9 mmHg). The decrease in BP was found to be circadian stage-dependent, and to differ between men and women. Nighttime BP was decreased to a larger extent with the DASH than with the FV diet, a difference observed in women but not in men. Study participants who had a higher BP during the reference stage were more likely to decrease their BP to a larger extent after the 8-week dietary intervention. The FV and DASH diets had different effects on BPV. In view of the relatively large day-to-day variability in BP in both normotensive and hypertensive people, it is recommended to monitor BP around the clock for longer than 24 h, and to individualize the optimization of dietary or other intervention.

Indexed as

Dietary Approaches To Stop HypertensionHypertensionBlood PressureBlood Pressure Monitoring, AmbulatoryDietFemaleHumansMale

Identifiers

PMID32863383
OpenAlexW3081804519

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.