Comparison of devices used to measure blood pressure, grip strength and lung function: A randomised cross-over study.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2023
Historique:
received: 21 11 2022
accepted: 11 07 2023
medline: 27 12 2023
pubmed: 27 12 2023
entrez: 27 12 2023
Statut: epublish

Résumé

Blood pressure, grip strength and lung function are frequently assessed in longitudinal population studies, but the measurement devices used differ between studies and within studies over time. We aimed to compare measurements ascertained from different commonly used devices. We used a randomised cross-over study. Participants were 118 men and women aged 45-74 years whose blood pressure, grip strength and lung function were assessed using two sphygmomanometers (Omron 705-CP and Omron HEM-907), four handheld dynamometers (Jamar Hydraulic, Jamar Plus+ Digital, Nottingham Electronic and Smedley) and two spirometers (Micro Medical Plus turbine and ndd Easy on-PC ultrasonic flow-sensor) with multiple measurements taken on each device. Mean differences between pairs of devices were estimated along with limits of agreement from Bland-Altman plots. Sensitivity analyses were carried out using alternative exclusion criteria and summary measures, and using multilevel models to estimate mean differences. The mean difference between sphygmomanometers was 3.9mmHg for systolic blood pressure (95% Confidence Interval (CI):2.5,5.2) and 1.4mmHg for diastolic blood pressure (95% CI:0.3,2.4), with the Omron HEM-907 measuring higher. For maximum grip strength, the mean difference when either one of the electronic dynamometers was compared with either the hydraulic or spring-gauge device was 4-5kg, with the electronic devices measuring higher. The differences were small when comparing the two electronic devices (difference = 0.3kg, 95% CI:-0.9,1.4), and when comparing the hydraulic and spring-gauge devices (difference = 0.2kg, 95% CI:-0.8,1.3). In all cases limits of agreement were wide. The mean difference in FEV1 between spirometers was close to zero (95% CI:-0.03,0.03), limits of agreement were reasonably narrow, but a difference of 0.47l was observed for FVC (95% CI:0.53,0.42), with the ndd Easy on-PC measuring higher. Our study highlights potentially important differences in measurement of key functions when different devices are used. These differences need to be considered when interpreting results from modelling intra-individual changes in function and when carrying out cross-study comparisons, and sensitivity analyses using correction factors may be helpful.

Sections du résumé

BACKGROUND BACKGROUND
Blood pressure, grip strength and lung function are frequently assessed in longitudinal population studies, but the measurement devices used differ between studies and within studies over time. We aimed to compare measurements ascertained from different commonly used devices.
METHODS METHODS
We used a randomised cross-over study. Participants were 118 men and women aged 45-74 years whose blood pressure, grip strength and lung function were assessed using two sphygmomanometers (Omron 705-CP and Omron HEM-907), four handheld dynamometers (Jamar Hydraulic, Jamar Plus+ Digital, Nottingham Electronic and Smedley) and two spirometers (Micro Medical Plus turbine and ndd Easy on-PC ultrasonic flow-sensor) with multiple measurements taken on each device. Mean differences between pairs of devices were estimated along with limits of agreement from Bland-Altman plots. Sensitivity analyses were carried out using alternative exclusion criteria and summary measures, and using multilevel models to estimate mean differences.
RESULTS RESULTS
The mean difference between sphygmomanometers was 3.9mmHg for systolic blood pressure (95% Confidence Interval (CI):2.5,5.2) and 1.4mmHg for diastolic blood pressure (95% CI:0.3,2.4), with the Omron HEM-907 measuring higher. For maximum grip strength, the mean difference when either one of the electronic dynamometers was compared with either the hydraulic or spring-gauge device was 4-5kg, with the electronic devices measuring higher. The differences were small when comparing the two electronic devices (difference = 0.3kg, 95% CI:-0.9,1.4), and when comparing the hydraulic and spring-gauge devices (difference = 0.2kg, 95% CI:-0.8,1.3). In all cases limits of agreement were wide. The mean difference in FEV1 between spirometers was close to zero (95% CI:-0.03,0.03), limits of agreement were reasonably narrow, but a difference of 0.47l was observed for FVC (95% CI:0.53,0.42), with the ndd Easy on-PC measuring higher.
CONCLUSION CONCLUSIONS
Our study highlights potentially important differences in measurement of key functions when different devices are used. These differences need to be considered when interpreting results from modelling intra-individual changes in function and when carrying out cross-study comparisons, and sensitivity analyses using correction factors may be helpful.

Identifiants

pubmed: 38150442
doi: 10.1371/journal.pone.0289052
pii: PONE-D-22-31125
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0289052

Informations de copyright

Copyright: © 2023 Lessof et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Carli Lessof (C)

National Centre for Research Methods, University of Southampton, Southampton, United Kingdom.

Rachel Cooper (R)

Faculty of Medical Sciences, Translational and Clinical Research Institute, AGE Research Group, Newcastle University, Newcastle upon Tyne, United Kingdom.
NIHR Newcastle Biomedical Research Centre, Newcastle University and Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, United Kingdom.

Andrew Wong (A)

MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.

Rebecca Bendayan (R)

Department of Biostatistics and Health Informatics of the Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, United Kingdom.
NIHR Biomedical Research Centre at South London and Maudsley, NHS Foundation Trust and King's College London, London, United Kingdom.

Rishi Caleyachetty (R)

Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Warwick Medical School, University of Warwick, Warwick, United Kingdom.

Hayley Cheshire (H)

Hayley Cheshire Research, Bournemouth, United Kingdom.

Theodore Cosco (T)

Department of Gerontology, Simon Fraser University, Vancouver, Canada and Oxford Institute of Population Ageing, University of Oxford, Oxford, United Kingdom.

Ahmed Elhakeem (A)

MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom.

Anna L Hansell (AL)

Centre for Environmental Health and Sustainability, University of Leicester, United Kingdom.

Aradhna Kaushal (A)

Research Department of Behavioural Science and Health, UCL, London, United Kingdom.

Diana Kuh (D)

MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.

David Martin (D)

National Centre for Research Methods, University of Southampton, Southampton, United Kingdom.

Cosetta Minelli (C)

National Heart & Lung Institute, Imperial College London, United Kingdom.

Stella Muthuri (S)

MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.

Maria Popham (M)

MRC Unit for Lifelong Health and Ageing at UCL, London, United Kingdom.

Seif O Shaheen (SO)

Institute of Population Health Sciences, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.

Patrick Sturgis (P)

Department of Methodology, London School of Economics, United Kingdom.

Rebecca Hardy (R)

Social Research Institute, UCL, London, United Kingdom.
School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom.

Classifications MeSH