Literature DB >> 21614025

Effect of respiration, talking and small body movements on blood pressure measurement.

D Zheng1, R Giovannini, A Murray.   

Abstract

It is accepted that accuracy of auscultatory blood pressure (BP) measurement is influenced by measurement conditions. However, there is little comparative quantitative clinical data. The aim of this study was to provide these data. Auscultatory systolic and diastolic BPs (SBPs and DBPs) were measured in 111 healthy subjects under five different conditions (resting, deeper breathing, talking, head and arm movement). The measurement sequence was randomized, and repeated three times. BPs and their within-subject variabilities were compared with resting values. SBP and DBP changed significantly in comparison with the resting condition: decreasing by 4.4 and 4.8 mm Hg, respectively, with deeper breathing (both P<0.001), increasing by 3.7 and 5.0 mm Hg with opposite arm movement, and increasing by 5.3 and 6.2 mm Hg with talking (all P<0.001). The mean differences between deeper breathing and talking were 9.7 and 11.0 mm Hg for SBP and DBP. The within-subject variability for repeat measurement of SBP and DBP under resting condition were 3.7 and 3.2 mm Hg and increased for non-resting conditions (all P<0.05, except for DBP while talking). We have shown that measurement conditions significantly influence manual auscultatory BPs and their measurement variabilities, and we provide quantitative data to allow comparison of the effects.

Entities:  

Mesh:

Year:  2011        PMID: 21614025     DOI: 10.1038/jhh.2011.53

Source DB:  PubMed          Journal:  J Hum Hypertens        ISSN: 0950-9240            Impact factor:   3.012


  12 in total

1.  Deep learning-based automatic blood pressure measurement: evaluation of the effect of deep breathing, talking and arm movement.

Authors:  Fan Pan; Peiyu He; Fei Chen; Xiaobo Pu; Qijun Zhao; Dingchang Zheng
Journal:  Ann Med       Date:  2019 Nov - Dec       Impact factor: 4.709

2.  Prevalence of pseudoresistant hypertension due to inaccurate blood pressure measurement.

Authors:  Hemal Bhatt; Mohammed Siddiqui; Eric Judd; Suzanne Oparil; David Calhoun
Journal:  J Am Soc Hypertens       Date:  2016-03-30

3.  Prediction of BP reactivity to talking using hybrid soft computing approaches.

Authors:  Gurmanik Kaur; Ajat Shatru Arora; Vijender Kumar Jain
Journal:  Comput Math Methods Med       Date:  2014-09-21       Impact factor: 2.238

4.  Does the position or contact pressure of the stethoscope make any difference to clinical blood pressure measurements: an observational study.

Authors:  Fan Pan; Dingchang Zheng; Peiyu He; Alan Murray
Journal:  Medicine (Baltimore)       Date:  2014-12       Impact factor: 1.889

5.  Respiratory modulation of oscillometric cuff pressure pulses and Korotkoff sounds during clinical blood pressure measurement in healthy adults.

Authors:  Diliang Chen; Fei Chen; Alan Murray; Dingchang Zheng
Journal:  Biomed Eng Online       Date:  2016-05-10       Impact factor: 2.819

Review 6.  Sources of inaccuracy in the measurement of adult patients' resting blood pressure in clinical settings: a systematic review.

Authors:  Noa Kallioinen; Andrew Hill; Mark S Horswill; Helen E Ward; Marcus O Watson
Journal:  J Hypertens       Date:  2017-03       Impact factor: 4.844

7.  Comparison of manual and automated auscultatory blood pressure during graded exercise among people with type 2 diabetes.

Authors:  Myles N Moore; Dean S Picone; Michele L Callisaya; Velandai Srikanth; James E Sharman; Martin G Schultz
Journal:  J Clin Hypertens (Greenwich)       Date:  2019-10-22       Impact factor: 3.738

8.  Effect of respiration on Korotkoff sounds and oscillometric cuff pressure pulses during blood pressure measurement.

Authors:  Dingchang Zheng; Luigi Yuri Di Marco; Alan Murray
Journal:  Med Biol Eng Comput       Date:  2014-03-26       Impact factor: 2.602

9.  Comparison of stethoscope bell and diaphragm, and of stethoscope tube length, for clinical blood pressure measurement.

Authors:  Chengyu Liu; Clive Griffiths; Alan Murray; Dingchang Zheng
Journal:  Blood Press Monit       Date:  2016-06       Impact factor: 1.444

10.  Detection of Atrial Fibrillation Using a Home Blood Pressure Monitor.

Authors:  Thomas Balanis; Bernd Sanner
Journal:  Vasc Health Risk Manag       Date:  2021-07-12
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.