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. 2025 Jul 18.
doi: 10.1097/JOM.0000000000003487. Online ahead of print.

Evaluation of small airway effect in cleaning workers with impulse oscillometry

[Article in Turkish, English]
Betül Gültekin  1 , Nejdiye Güngördü  2 , Ilgım Vardaloğlu Koyuncu  2 , Kevser Sak  3 , Enes Furkan Aykaç  2 , Buket Çalişkaner Öztürk  2 , Nihal Enşen  2 , Şermin Börekçi  2 , Bilun Gemicioğlu  2
Affiliations

Evaluation of small airway effect in cleaning workers with impulse oscillometry

[Article in Turkish, English]
Betül Gültekin et al. J Occup Environ Med. .

Abstract
in English, Turkish

Objective: The aim of this study was to detect small airway pathologies in cleaning workers at an early stage by impulse oscillometry (IOS).

Methods: The study was cross-sectional and involved 121 cleaning workers and 123 controls between September 2022 and January 2023.

Results: Airway disease-related measurements (R5%, R20 %, R5-20%, AX, Fres) determined by IOS were statistically significantly higher in cleaning workers. The mean and median values of FEV1/FVC (%), PEF (%), MMEF (%), FEF25 (%), and FEF75 (%) were significantly lower in cleaning workers compared to the control group (p < 0.05). Using General Linear Models (GLM) adjusted for work duration, sex, age, BMI, and smoking, occupational differences in lung function and IOS were not significant, showing these factors explain the effects.

Conclusion: IOS can be used for the early detection of airway diseases.

Objective: The aim of this study was to detect small airway pathologies in cleaning workers at an early stage by impulse oscillometry (IOS).

Methods: The study was cross-sectional and involved 121 cleaning workers and 123 controls between September 2022 and January 2023.

Results: Airway disease-related measurements (R5%, R20 %, R5-20%, AX, Fres) determined by IOS were statistically significantly higher in cleaning workers. The mean and median values of FEV1/FVC (%), PEF (%), MMEF (%), FEF25 (%), and FEF75 (%) were significantly lower in cleaning workers compared to the control group (p < 0.05). Using General Linear Models (GLM) adjusted for work duration, sex, age, BMI, and smoking, occupational differences in lung function and IOS were not significant, showing these factors explain the effects.

Conclusion: IOS can be used for the early detection of airway diseases.

Keywords: Cleaning workers; impulse oscillometry; pulmonary function test parameters.

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Conflict of interest statement

Conflict of Interest: The authors declare no conflicts of interest associated with this manuscript.

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