Evidence map›Paper›PMID 28388961›Full record

ArticleParticle and fibre toxicology2017

Deposition efficiency of inhaled particles (15-5000 nm) related to breathing pattern and lung function: an experimental study in healthy children and adults.

Jenny Rissler, Anders Gudmundsson, Hanna Nicklasson, Erik Swietlicki, Per Wollmer, Jakob Löndahl

Abstract read
In one paragraph

Article in Particle and fibre toxicology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guidelines for assessing maternal cardiovascular physiology during pregnancy and postpartum.American journal of physiology. Heart and circulatory physiology · 2024
    Guideline
  2. Article
  3. Article
  4. Article
  5. Dynamics of nanoparticles in a 3D breathing lung-on-a-chip.Drug delivery and translational research · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Investigation of the Exposure of Schoolchildren to Ultrafine Particles (PMInternational journal of environmental research and public health · 2023
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Health Risk Assessment of PMInternational journal of environmental research and public health · 2021
    Article
  18. Article
  19. Article
  20. Environmental science & technology · 2019
    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

6 authors.

Jenny RisslerChemistry, Materials and Surfaces, SP Technical Research Institute of Sweden, Ideon Gateway, Sheelevägan 27, SE-223 70, Lund, Sweden. jenny.rissler@ri.se.ORCID 0000-0001-8650-4741
Anders GudmundssonErgonomics and Aerosol Technology, Lund University, Box 118, SE-221 00, Lund, Sweden.
Hanna NicklassonClinical Physiology and Nuclear Medicine, SE-205 02, Malmö, Sweden.
Erik SwietlickiDivision of Nuclear Physics, Lund University, Box 118, SE-221 00, Lund, Sweden.
Per WollmerClinical Physiology and Nuclear Medicine, SE-205 02, Malmö, Sweden.
Jakob LöndahlErgonomics and Aerosol Technology, Lund University, Box 118, SE-221 00, Lund, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundExposure to airborne particles has a major impact on global health. The probability of these particles to deposit in the respiratory tract during breathing is essential for their toxic effects. Observations have shown that there is a substantial variability in deposition between subjects, not only due to respiratory diseases, but also among individuals with healthy lungs. The factors determining this variability are, however, not fully understood.

methodIn this study we experimentally investigate factors that determine individual differences in the respiratory tract depositions of inhaled particles for healthy subjects at relaxed breathing. The study covers particles of diameters 15-5000 nm and includes 67 subjects aged 7-70 years. A comprehensive examination of lung function was performed for all subjects. Principal component analyses and multiple regression analyses were used to explore the relationships between subject characteristics and particle deposition.

resultsA large individual variability in respiratory tract deposition efficiency was found. Individuals with high deposition of a certain particle size generally had high deposition for all particles <3500 nm. The individual variability was explained by two factors: breathing pattern, and lung structural and functional properties. The most important predictors were found to be breathing frequency and anatomical airway dead space. We also present a linear regression model describing the deposition based on four variables: tidal volume, breathing frequency, anatomical dead space and resistance of the respiratory system (the latter measured with impulse oscillometry).

conclusionsTo understand why some individuals are more susceptible to airborne particles we must understand, and take into account, the individual variability in the probability of particles to deposit in the respiratory tract by considering not only breathing patterns but also adequate measures of relevant structural and functional properties.

Indexed as

AdultAgedAir PollutantsBiological Variation, IndividualChildFemaleHumansInhalation ExposureLungMaleMiddle AgedParticle SizeParticulate MatterPrincipal Component AnalysisRespirationRespiratory Function TestsAir PollutantsParticulate MatterAerosolsAirborne particlesAirway dead spaceIndividual variabilityInhalationLung doseNanoSafetyParticle lung depositionRespiratory tract deposition

Identifiers

PMID28388961
PMCPMC5385003

What OpenQuestion holds

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Registered trials

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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.