Evidence map›Paper›PMID 35603287›Full record

ArticleCommunications medicine2022

A comparison of respiratory particle emission rates at rest and while speaking or exercising.

Christopher M Orton, Henry E Symons, Benjamin Moseley, Justice Archer, Natalie A Watson, Keir E J Philip, Sadiyah Sheikh, Brian Saccente-Kennedy, Declan Costello, William J Browne and 5 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.7field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Article
  8. Lung aerosol particle emission increases with age at rest and during exercise.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  9. Article
  10. Article
  11. Article
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

15 authors at 7 institutions in 1 country.

Christopher M Orton *Department of Respiratory Medicine, Royal Brompton Hospital, London, UK.ORCID 0000-0002-9167-5462
Henry E Symons *School of Chemistry, University of Bristol, Bristol, UK.ORCID 0000-0001-6926-5435
Benjamin MoseleyDepartment of Respiratory Medicine, Royal Brompton Hospital, London, UK.
Justice ArcherSchool of Chemistry, University of Bristol, Bristol, UK.ORCID 0000-0003-0374-0373
Natalie A WatsonDepartment of Ear, Nose and Throat Surgery, Guys & St. Thomas NHS Foundation Trust, London, UK.ORCID 0000-0002-0839-3094
Keir E J PhilipDepartment of Respiratory Medicine, Royal Brompton Hospital, London, UK.ORCID 0000-0001-9614-3580
Sadiyah SheikhSchool of Chemistry, University of Bristol, Bristol, UK.
Brian Saccente-KennedySpeech and Language Therapy Department, Royal National Ear Nose and Throat Hospital, London, UK.
Declan CostelloEar, Nose and Throat Department, Wexham Park Hospital, Slough, UK.
William J BrowneSchool of Education, University of Bristol, Bristol, UK.
James D CalderDepartment of Bioengineering, Imperial College London, London, UK.
Bryan R BzdekSchool of Chemistry, University of Bristol, Bristol, UK.
James H HullDepartment of Respiratory Medicine, Royal Brompton Hospital, London, UK.
Jonathan P ReidSchool of Chemistry, University of Bristol, Bristol, UK.ORCID 0000-0001-6022-1778
Pallav L ShahDepartment of Respiratory Medicine, Royal Brompton Hospital, London, UK.ORCID 0000-0002-9052-4638
University of Bristol · GBRoyal Brompton Hospital · GBEnglish Institute of Sport · GBFortius Clinic · GBGuy's and St Thomas' NHS Foundation Trust · GBRoyal National Throat Nose and Ear Hospital · GBWexham Park Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease-19 (COVID-19) pandemic led to the prohibition of group-based exercise and the cancellation of sporting events. Evaluation of respiratory aerosol emissions is necessary to quantify exercise-related transmission risk and inform mitigation strategies. Methods: Aerosol mass emission rates are calculated from concurrent aerosol and ventilation data, enabling absolute comparison. An aerodynamic particle sizer (0.54-20 μm diameter) samples exhalate from within a cardiopulmonary exercise testing mask, at rest, while speaking and during cycle ergometer-based exercise. Exercise challenge testing is performed to replicate typical gym-based exercise and very vigorous exercise, as determined by a preceding maximally exhaustive exercise test. Results: We present data from 25 healthy participants (13 males, 12 females; 36.4 years). The size of aerosol particles generated at rest and during exercise is similar (unimodal ~0.57-0.71 µm), whereas vocalization also generated aerosol particles of larger size (i.e. was bimodal ~0.69 and ~1.74 µm). The aerosol mass emission rate during speaking (0.092 ng s Conclusions: Vocalisation drives greater aerosol mass emission rates, compared to breathing at rest. Aerosol mass emission rates in exercise rise with intensity. Aerosol mass emission rates during vigorous exercise are no different from speaking at a conversational level. Mitigation strategies for airborne pathogens for non-exercise-based social interactions incorporating vocalisation, may be suitable for the majority of exercise settings. However, the use of facemasks when exercising may be less effective, given the smaller size of particles produced.

Indexed as

Medical researchPhysiology

Identifiers

PMID35603287
PMCPMC9053213
OpenAlexW4224233535

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.