Evidence map›Paper›PMID 28725455›Full record

ArticleClinical hypertension2017

Effect of respiratory pattern on automated clinical blood pressure measurement: an observational study with normotensive subjects.

Natalia Herakova, Nnenna Harmony Nzeribe Nwobodo, Ying Wang, Fei Chen, Dingchang Zheng

Open access · diamondAbstract read
In one paragraph

Article in Clinical hypertension, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Respiratory regulation & interactions with neuro-cognitive circuitry.Neuroscience and biobehavioral reviews · 2020
    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

5 authors at 3 institutions in 3 countries.

Natalia HerakovaHealth and Wellbeing Academy, Faculty of Medical Science, Anglia Ruskin University, Chelmsford, UK.
Nnenna Harmony Nzeribe NwobodoHealth and Wellbeing Academy, Faculty of Medical Science, Anglia Ruskin University, Chelmsford, UK.
Ying WangHealth and Wellbeing Academy, Faculty of Medical Science, Anglia Ruskin University, Chelmsford, UK.
Fei ChenDepartment of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China.
Dingchang ZhengHealth and Wellbeing Academy, Faculty of Medical Science, Anglia Ruskin University, Chelmsford, UK.
Anglia Ruskin University · GBEnugu State University of Science and Technology · NGSouthern University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt has been reported that deep breathing could reduce blood pressures (BP) in general. It is also known that BP is decreased during inhalation and increased during exhalation. Therefore, the measured BPs could be potentially different during deep breathing with different lengths of inhalation and exhalation. This study aimed to quantitatively investigate the effect of different respiratory patterns on BPs.

methodsForty healthy subjects (20 males and 20 females, aged from 18 to 60 years) were recruited. Systolic and diastolic BPs (SBP and DBP) were measured using a clinically validated automated BP device. There were two repeated measurement sessions for each subject. Within each session, eight BP measurements were performed, including 4 measurements during deep breathing with different respiratory patterns (Pattern 1: 4.5 s vs 4.5 s; Patter 2: 6 s vs 2 s; Pattern 3: 2 s vs 6 s; and Pattern 4: 1.5 s vs 1.5 s, respectively for the durations of inhalation and exhalation) and additional 4 measurements from 1 min after the four different respiratory patterns. At the beginning and end of the two repeated measurement sessions, there were two baseline BP measurements under resting condition.

resultsThe key experimental results showed that overall automated SBP significantly decreased by 3.7 ± 5.7 mmHg, 3.9 ± 5.2 mmHg, 1.7 ± 5.9 mmHg and 3.3 ± 5.3 mmHg during deep breathing, respectively for Patterns 1, 2, 3 and 4 (all

conclusionsIn summary, this study has quantitatively demonstrated that the measured automated BPs decreased by different amounts with all the four deep breathing patterns, which recovered back quickly after these single short-term interventions, providing evidence of short-term BP decrease with deep breathing and that BP measurements should be performed under normal breathing condition.

Indexed as

Blood pressureBreathing patternDiastolicExhalationFast-deep breathingInhalationRespiratory patternSlow-deep breathingSystolic

Identifiers

PMID28725455
PMCPMC5514537
OpenAlexW2607462511

What OpenQuestion holds

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LicenceCC BY
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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.