Assessment of the respiratory health in young smokers using an acoustic analysis
https://doi.org/10.18093/0869-0189-2016-26-1-59-63
Abstract
The aim of this comparative study was a comprehensive analysis of respiratory health in young smokers. Methods. An acoustic analysis of respiratory sounds, spirometry, the Fagerström Test for Nicotine Dependence, and the Questionnaire of the European Community for Coal and Steel (ECCS) on respiratory symptoms were used in this study. Results. The study involved 158 young subjects aged 18 to 19 years (mean age, 18.4 ± 1.1 years; 91 males). A significant difference in spirometric parameters, prevalence of symptoms of chronic bronchitis and the acoustic work of breathing (AWB) was found between smokers and non-smokers. Nicotine dependence was evaluated as weak with lower to moderate exhaled CO levels. However, motivation to continue smoking was moderate or higher; spirometric and AWB parameters were significantly lower in smokers compared to non-smokers. Conclusion. The acoustic analysis of respiratory sounds could be used for clinical and functional evaluation of respiratory status, predicting COPD development and smoking control along with spirometry, specific questionnaires and smoking status assessment.
About the Authors
N. A. Mokina
Samara State Medical University, Healthcare Ministry of Russia: 89, Chapaevskaya str., Samara, 443099, Russia
Russian Federation
Russian Federation
MD, Professor at Department of Occupational Dseases and Clinical Pharmacology, Samara State Medical University, Healthcare Ministry of Russia, Hospital Chief Executive Officer at Yunost' Samara State Health Resort; tel.: (846) 952-94-81; tel. / fax: (846) 952-87-22; 902 375-49-70
N. S. Antonov
Federal Pulmonology Research Institute, Federal Medical and Biological Agency of Russia: 32, build. 4, 11th Parkovaya str., Moscow, 105077, Russia
Russian Federation
Russian Federation
MD, Deputy Director at Federal Pulmonology Research Institute, Federal Medical and Biological Agency of Russia; Head of Department of Pulmonology and Respiratory Medicine, Federal Institute of Postgraduate Training, Federal Medical and Biological Agency of Russia; tel.: (495) 465-28-45
G. M. Sakharova
Federal Institute of Postgraduate Training, Federal Medical and Biological Agency of Russia: 91, Volokolamskoe av., Moscow, 123371, Russia
Russian Federation
Russian Federation
MD, Professor at Department of Pulmonology and Respiratory Medicine, Federal Institute of Postgraduate Training, Federal Medical and Biological Agency of Russia; Head of Research and Methodological Center for Tobacco Smoking Control, Federal Pulmonology Research Institute, Federal Medical and Biological Agency of Russia; tel.: (495) 465-52-64
References
1. Guerra S., Stern D.A., Zhou M. et al. Combined effects of parental and active smoking on early lung function deficits: a prospective study from birth to age 26 years. Thorax. 2013; 68 (11): 1021–1028. DOI: 10.1136/thoraxjnl-2013-203538.
2. Merson F., Perriot J., Underner M. et al. Smoking cessation and social deprivation. Rev. Mal. Respir. 2014; 31 (10): 916–936.
3. Merson F., Perriot J., Underner M. et al. Smoking cessation and social deprivation. Rev. Mal. Respir. 2014; 31 (10): 916–936.
4. Wang L.Y., Michael S.L. Long-Term Health and Medical Cost Impact of Smoking Prevention in Adolescence. J. Adolesc. Health. 2014 Nov. 22. pii: S1054-139X(14)00381-4.
5. Siniarska A., Strzyzewska D., Koziel S. Variation in indicators of respiratory functions among Warsaw adolescents in relation to ambient air pollution and smoking. Coll. Antropol. 2014; 38 (1): 195–200.
6. Kosarev V.V., Mokina N A. Detailed investigation of respiratory biomechanics for diagnosis of chronic bronchitis induced by dust exposure. Meditsina truda i promyshlennaya ekologiya. 2004; 6: 13–17 (in Russian).
7. Luize A.P., Menezes A.M., Perez-Padilla R. et al. PLATINO Team. Assessment of five different guideline indication criteria for spirometry, including modified GOLD criteria, in order to detect COPD: data from 5,315 subjects in the PLATINO study. NPJ Prim. Care Respir. Med. 2014; 24: 14075. DOI: 10.1038/npjpcrm.2014.75.
8. Billimoria A.R. Rene Laennec. J. Assoc. Physicians. India. 2012; 60: 62.
9. Palaniappan R., Sundaraj K., Sundaraj S. A comparative study of the SVM and K-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals. BMC Bioinformatics. 2014; 15: 223. DOI: 10.1186/1471-2105-15-223.
10. Aeries J.E., Cheethman В.М. Current methods used for computerized respiratory sound analysis. Eur. Respir. Rev. 2000; 10 (77): 586–590.
11. Burney P., Jithoo A., Kato B. et al. Burden of Obstructive Lung Disease (BOLD) Study. Chronic obstructive pulmonary disease mortality and prevalence: the associations with smoking and poverty – a BOLD analysis. Thorax. 2014; 69 (5): 465–473. DOI: 10.1136/thoraxjnl-2013-204460.
12. Keyser M.M., Goebel L.J. Update on adolescent tobacco cessation. West Virginia Med. J. 2014; 110 (4): 46–52.
13. Minor M., Sondike S. Adolescent smoking cessation methods: a review article. West Virginia Med. J. 2014; 110 (4): 16–20.
14. Pyatin V.F., Tatarnikov V.S., Glazkova E.N. Control of respiratory and hypotensive response during hypoxic chemoreflex by A5 region neurons in rats. Bull. Exp. Biol. Med. 2006; 142 (6): 654–656.
15. Geppe H.A., Malyshev B.C., Lisitsyn M.H. et al. Bronchophonography in diagnosis of childhood bronchial asthma. Pul'monologiya. 2002; 2: 33–39 (in Russian).
16. Guseynov A.A. Acoustic analysis of breath sounds for diagnosis of pulmonary disease. Pul'monologiya. 2009; 2: 51–55 (in Russian).
Review
For citations:
Mokina N.A., Antonov N.S., Sakharova G.M. Assessment of the respiratory health in young smokers using an acoustic analysis. PULMONOLOGIYA. 2016;26(1):59-63. (In Russ.) https://doi.org/10.18093/0869-0189-2016-26-1-59-63
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