Research Article
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The predictors of the pulmonary function in community-dwelling older adults

Year 2021, Volume: 5 Issue: 3, 23 - 29, 20.09.2021
https://doi.org/10.30621/jbachs.879109

Abstract

Purpose: The aim of the study was to observe the relationship between age, body mass index (BMI), physical activity, and kyphosis angle parameters with respiratory function capacity in community-dwelling older adults and to determine the main predictor.
Methods: A prospective cross-sectional study was carried out with 70 older adults. Physical activity level was questioned with the Physical Activity Scale for Elderly (PASE). Thoracic kyphosis degrees were measured with a digital inclinometer. Pulmonary Function Test (PFT) was used to measure pulmonary function capacity. The correlation between age, BMI, PASE, thoracic kyphosis angle with parameters of PFT measurement was analyzed. In addition, a linear multivariate regression model was built to determine the main predictor.
Results: The mean age of the participants was 69.88±4.52 years. There was a low degree but a statistically significant positive correlation between BMI and FEV1 (r=0.258,p<0.05). BMI was also associated with FEV1/FVC (r=0.338,p<0.001). PASE was related with FVC, FEV1 and PEF (r1=0.241,p<0.05;r2=0.281,p<0.05;r3=0.317,p<0.001). In the multivariate linear regression model, higher levels of PASE score were associated with higher levels of FVC (standardized ß=0.25,p<0.05). The high PASE score was associated with a high FEV1 score (standardized ß=0.30,p<0.05). BMI was the main predictor of FEV1/FVC (standardized ß=0.34,p<0.001). Besides, PASE was the main predictor of PEF (standardized ß=0.32, p<0.001).
Conclusion: According to the results of the study, greater levels of physical activity and body mass index were associated with greater levels of pulmonary function capacity. Physical activity level was the main predictor for all pulmonary function parameters except FEV1/FVC.

Supporting Institution

Ege University Scientific Research Projects Coordination Unit

Project Number

TGA-2019-20857

Thanks

The authors would like to thank Ege University Scientific Research Projects Coordination Unit for their financial support to this project (TGA-2019-20857).

References

  • 1. Rossi A, Fantin F, Di Francesco V, Guariento S, Giuliano K, Fontana G, et al. Body composition and pulmonary function in the elderly: a 7-year longitudinal study. Int J Obes. 2008;32(9):1423-30.
  • 2. Benadjaoud MA, Menai M, van Hees VT, Zipunnikov V, Regnaux J-P, Kivimäki M, et al. The association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokers. Sci rep. 2019;9(1):1-9.
  • 3. Burchfiel CM, Enright PL, Sharp DS, Chyou P-H, Rodriguez BL, Curb JD. Factors associated with variations in pulmonary function among elderly Japanese-American men. Chest. 1997;112(1):87-97.
  • 4. O'Donovan G, Hamer M. The association between leisure-time physical activity and lung function in older adults: The English longitudinal study of ageing. Prev med. 2018;106:145-9.
  • 5. Vaz Fragoso CA, Beavers DP, Anton SD, Liu CK, McDermott MM, Newman AB, et al. Effect of structured physical activity on respiratory outcomes in sedentary elderly adults with mobility limitations. J Am Geriatr Soc. 2016;64(3):501-9.
  • 6. de Rezende LFM, Rey-López JP, Matsudo VKR, do Carmo Luiz O. Sedentary behavior and health outcomes among older adults: a systematic review. BMC public health. 2014;14(1):333.
  • 7. de Assis Bastosa VdG, Gomesa EB, Valdugaa R, de Toledo Nóbregab O, de Azevedo Carvalhoa G. A comparative study of thoracic kyphosis angles and respiratory muscle strength of elderly women. Geriatr gerontol and aging. 2017; 11(3):133-37.
  • 8. Singer KP, Edmondston SJ, Day RE, Breidahl WH. Computer-assisted curvature assessment and Cobb angle determination of the thoracic kyphosis: an in vivo and in vitro comparison. Spine. 1994;19(12):1381-4.
  • 9. Antonelli-Incalzi R, Pedone C, Cesari M, Di Iorio A, Bandinelli S, Ferrucci L. Relationship between the occiput-wall distance and physical performance in the elderly: a cross sectional study. Aging Clin Exp Res. 2007;19(3):207-12.
  • 10. Smith MD, Russell A, Hodges PW. Disorders of breathing and continence have a stronger association with back pain than obesity and physical activity. Aust J Physiother. 2006;52(1):11-6.
  • 11. Tunçay SU, Yeldan İ. Is Physical Inactivity Associated With Musculoskeletal Disorders?. Ağrı. 2013;25(4):147-55.
  • 12. Kaneko H. Association of respiratory function with physical performance, physical activity, and sedentary behavior in older adults. J Phys Ther Sci. 2020;32(2):92-7.
  • 13. Hyatt RE, Scanlon PD, Nakamura M. Interpretation of pulmonary function tests: Lippincott Williams & Wilkins; 2014.
  • 14. Ayvat E, Kilinc M, Kirdi N. The Turkish version of the Physical Activity Scale for the Elderly (PASE): its cultural adaptation, validation, and reliability. Turk J Med Sci. 2017;47(3):908-15.
  • 15. Lewis JS, Valentine RE. Clinical measurement of the thoracic kyphosis. A study of the intra-rater reliability in subjects with and without shoulder pain. BMC Musculoskelet Disord. 2010;11(1):1-7.
  • 16. Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60.
  • 17. Faul F, Erdfelder E, Lang A-G, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-91.
  • 18. Washburn RA, Smith KW, Jette AM, Janney CA. The Physical Activity Scale for the Elderly (PASE): development and evaluation. J Clin Epidemiol. 1993;46(2):153-62.
  • 19. Enright PL, Lebowitz MD, Cockroft DW. Physiologic measures: pulmonary function tests. Am J Respir Crit Care Med. 2012.
  • 20. Ranu H, Wilde M, Madden B. Pulmonary function tests. Ulster Med J. 2011;80(2):84.
  • 21. Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use: Oxford University Press, USA; 2015.
  • 22. Lorbergs AL, O’Connor GT, Zhou Y, Travison TG, Kiel DP, Cupples LA, et al. Severity of kyphosis and decline in lung function: the Framingham study. J Gerontol A Biol Sci Med Sci. 2017;72(5):689-94.
  • 23. Haynes JM. Pulmonary function test quality in the elderly: a comparison with younger adults. Respir Care; 2014;59(1):16-21.
  • 24. Berglund DJ, Abbey DE, Lebowitz MD, Knutsen SF, Mc Donnell WF. Respiratory symptoms and pulmonary function in an elderly nonsmoking population. Chest. 1999;115(1):49-59.
  • 25. Wannamethee SG, Shaper AG, Whincup PH. Body fat distribution, body composition, and respiratory function in elderly men. Am J Clin Nutr. 2005;82(5):996-1003.
  • 26. Ab Rahman NNA, Singh DKA, Lee R. Correlation between thoracolumbar curvatures and respiratory function in older adults. Clin Interv Aging. 2017;12(1):523.
  • 27. Di Bari M, Chiarlone M, Matteuzzi D, Zacchei S, Pozzi C, Bellia V, et al. Thoracic kyphosis and ventilatory dysfunction in unselected older persons: an epidemiological study in Dicomano, Italy. J Am Geriatr Soc. 2004;52(6):909-15.
  • 28. Pereira FD, Batista WO, Fuly PdSC, Alves Junior EdD, Silva EBd. Physical activity and respiratory muscle strength in elderly: a systematic review. Fisioterapia em Movimento. 2014;27(1):129-39.
  • 29. Aksović N, Bjelica B, Joksimović M, Skrypchenko I, Filipović S, Milanović F, et al. Effects of aerobic physical activity to cardio-respiratory fitness of the elderly population: systematic overview. Phys Educ Sport Pedagogy. 2020;24(5):208-18.
Year 2021, Volume: 5 Issue: 3, 23 - 29, 20.09.2021
https://doi.org/10.30621/jbachs.879109

Abstract

Project Number

TGA-2019-20857

References

  • 1. Rossi A, Fantin F, Di Francesco V, Guariento S, Giuliano K, Fontana G, et al. Body composition and pulmonary function in the elderly: a 7-year longitudinal study. Int J Obes. 2008;32(9):1423-30.
  • 2. Benadjaoud MA, Menai M, van Hees VT, Zipunnikov V, Regnaux J-P, Kivimäki M, et al. The association between accelerometer-assessed physical activity and respiratory function in older adults differs between smokers and non-smokers. Sci rep. 2019;9(1):1-9.
  • 3. Burchfiel CM, Enright PL, Sharp DS, Chyou P-H, Rodriguez BL, Curb JD. Factors associated with variations in pulmonary function among elderly Japanese-American men. Chest. 1997;112(1):87-97.
  • 4. O'Donovan G, Hamer M. The association between leisure-time physical activity and lung function in older adults: The English longitudinal study of ageing. Prev med. 2018;106:145-9.
  • 5. Vaz Fragoso CA, Beavers DP, Anton SD, Liu CK, McDermott MM, Newman AB, et al. Effect of structured physical activity on respiratory outcomes in sedentary elderly adults with mobility limitations. J Am Geriatr Soc. 2016;64(3):501-9.
  • 6. de Rezende LFM, Rey-López JP, Matsudo VKR, do Carmo Luiz O. Sedentary behavior and health outcomes among older adults: a systematic review. BMC public health. 2014;14(1):333.
  • 7. de Assis Bastosa VdG, Gomesa EB, Valdugaa R, de Toledo Nóbregab O, de Azevedo Carvalhoa G. A comparative study of thoracic kyphosis angles and respiratory muscle strength of elderly women. Geriatr gerontol and aging. 2017; 11(3):133-37.
  • 8. Singer KP, Edmondston SJ, Day RE, Breidahl WH. Computer-assisted curvature assessment and Cobb angle determination of the thoracic kyphosis: an in vivo and in vitro comparison. Spine. 1994;19(12):1381-4.
  • 9. Antonelli-Incalzi R, Pedone C, Cesari M, Di Iorio A, Bandinelli S, Ferrucci L. Relationship between the occiput-wall distance and physical performance in the elderly: a cross sectional study. Aging Clin Exp Res. 2007;19(3):207-12.
  • 10. Smith MD, Russell A, Hodges PW. Disorders of breathing and continence have a stronger association with back pain than obesity and physical activity. Aust J Physiother. 2006;52(1):11-6.
  • 11. Tunçay SU, Yeldan İ. Is Physical Inactivity Associated With Musculoskeletal Disorders?. Ağrı. 2013;25(4):147-55.
  • 12. Kaneko H. Association of respiratory function with physical performance, physical activity, and sedentary behavior in older adults. J Phys Ther Sci. 2020;32(2):92-7.
  • 13. Hyatt RE, Scanlon PD, Nakamura M. Interpretation of pulmonary function tests: Lippincott Williams & Wilkins; 2014.
  • 14. Ayvat E, Kilinc M, Kirdi N. The Turkish version of the Physical Activity Scale for the Elderly (PASE): its cultural adaptation, validation, and reliability. Turk J Med Sci. 2017;47(3):908-15.
  • 15. Lewis JS, Valentine RE. Clinical measurement of the thoracic kyphosis. A study of the intra-rater reliability in subjects with and without shoulder pain. BMC Musculoskelet Disord. 2010;11(1):1-7.
  • 16. Faul F, Erdfelder E, Buchner A, Lang A-G. Statistical power analyses using G* Power 3.1: Tests for correlation and regression analyses. Behav Res Methods. 2009;41(4):1149-60.
  • 17. Faul F, Erdfelder E, Lang A-G, Buchner A. G* Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175-91.
  • 18. Washburn RA, Smith KW, Jette AM, Janney CA. The Physical Activity Scale for the Elderly (PASE): development and evaluation. J Clin Epidemiol. 1993;46(2):153-62.
  • 19. Enright PL, Lebowitz MD, Cockroft DW. Physiologic measures: pulmonary function tests. Am J Respir Crit Care Med. 2012.
  • 20. Ranu H, Wilde M, Madden B. Pulmonary function tests. Ulster Med J. 2011;80(2):84.
  • 21. Streiner DL, Norman GR, Cairney J. Health measurement scales: a practical guide to their development and use: Oxford University Press, USA; 2015.
  • 22. Lorbergs AL, O’Connor GT, Zhou Y, Travison TG, Kiel DP, Cupples LA, et al. Severity of kyphosis and decline in lung function: the Framingham study. J Gerontol A Biol Sci Med Sci. 2017;72(5):689-94.
  • 23. Haynes JM. Pulmonary function test quality in the elderly: a comparison with younger adults. Respir Care; 2014;59(1):16-21.
  • 24. Berglund DJ, Abbey DE, Lebowitz MD, Knutsen SF, Mc Donnell WF. Respiratory symptoms and pulmonary function in an elderly nonsmoking population. Chest. 1999;115(1):49-59.
  • 25. Wannamethee SG, Shaper AG, Whincup PH. Body fat distribution, body composition, and respiratory function in elderly men. Am J Clin Nutr. 2005;82(5):996-1003.
  • 26. Ab Rahman NNA, Singh DKA, Lee R. Correlation between thoracolumbar curvatures and respiratory function in older adults. Clin Interv Aging. 2017;12(1):523.
  • 27. Di Bari M, Chiarlone M, Matteuzzi D, Zacchei S, Pozzi C, Bellia V, et al. Thoracic kyphosis and ventilatory dysfunction in unselected older persons: an epidemiological study in Dicomano, Italy. J Am Geriatr Soc. 2004;52(6):909-15.
  • 28. Pereira FD, Batista WO, Fuly PdSC, Alves Junior EdD, Silva EBd. Physical activity and respiratory muscle strength in elderly: a systematic review. Fisioterapia em Movimento. 2014;27(1):129-39.
  • 29. Aksović N, Bjelica B, Joksimović M, Skrypchenko I, Filipović S, Milanović F, et al. Effects of aerobic physical activity to cardio-respiratory fitness of the elderly population: systematic overview. Phys Educ Sport Pedagogy. 2020;24(5):208-18.
There are 29 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Research Article
Authors

Serkan Bakırhan 0000-0003-0044-8203

Mehmet Özkeskin 0000-0001-7052-9549

Sevnaz Şahin 0000-0001-5457-901X

Fatih Özden 0000-0001-6593-3758

Project Number TGA-2019-20857
Publication Date September 20, 2021
Submission Date February 12, 2021
Published in Issue Year 2021 Volume: 5 Issue: 3

Cite

APA Bakırhan, S., Özkeskin, M., Şahin, S., Özden, F. (2021). The predictors of the pulmonary function in community-dwelling older adults. Journal of Basic and Clinical Health Sciences, 5(3), 23-29. https://doi.org/10.30621/jbachs.879109
AMA Bakırhan S, Özkeskin M, Şahin S, Özden F. The predictors of the pulmonary function in community-dwelling older adults. JBACHS. September 2021;5(3):23-29. doi:10.30621/jbachs.879109
Chicago Bakırhan, Serkan, Mehmet Özkeskin, Sevnaz Şahin, and Fatih Özden. “The Predictors of the Pulmonary Function in Community-Dwelling Older Adults”. Journal of Basic and Clinical Health Sciences 5, no. 3 (September 2021): 23-29. https://doi.org/10.30621/jbachs.879109.
EndNote Bakırhan S, Özkeskin M, Şahin S, Özden F (September 1, 2021) The predictors of the pulmonary function in community-dwelling older adults. Journal of Basic and Clinical Health Sciences 5 3 23–29.
IEEE S. Bakırhan, M. Özkeskin, S. Şahin, and F. Özden, “The predictors of the pulmonary function in community-dwelling older adults”, JBACHS, vol. 5, no. 3, pp. 23–29, 2021, doi: 10.30621/jbachs.879109.
ISNAD Bakırhan, Serkan et al. “The Predictors of the Pulmonary Function in Community-Dwelling Older Adults”. Journal of Basic and Clinical Health Sciences 5/3 (September 2021), 23-29. https://doi.org/10.30621/jbachs.879109.
JAMA Bakırhan S, Özkeskin M, Şahin S, Özden F. The predictors of the pulmonary function in community-dwelling older adults. JBACHS. 2021;5:23–29.
MLA Bakırhan, Serkan et al. “The Predictors of the Pulmonary Function in Community-Dwelling Older Adults”. Journal of Basic and Clinical Health Sciences, vol. 5, no. 3, 2021, pp. 23-29, doi:10.30621/jbachs.879109.
Vancouver Bakırhan S, Özkeskin M, Şahin S, Özden F. The predictors of the pulmonary function in community-dwelling older adults. JBACHS. 2021;5(3):23-9.