![]() 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). The most important predictors were found to be breathing frequency and anatomical airway dead space. ![]() The individual variability was explained by two factors: breathing pattern, and lung structural and functional properties. Individuals with high deposition of a certain particle size generally had high deposition for all particles <3500 nm. ResultsĪ large individual variability in respiratory tract deposition efficiency was found. Principal component analyses and multiple regression analyses were used to explore the relationships between subject characteristics and particle deposition. A comprehensive examination of lung function was performed for all subjects. The study covers particles of diameters 15–5000 nm and includes 67 subjects aged 7–70 years. In 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 factors determining this variability are, however, not fully understood. 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 probability of these particles to deposit in the respiratory tract during breathing is essential for their toxic effects. ![]() Exposure to airborne particles has a major impact on global health.
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