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

Authors : Serkan BAKIRHAN, Mehmet ÖZKESKİN, Sevnaz ŞAHİN, Fatih ÖZDEN

Pages : 23-29

Doi:10.30621/jbachs.879109

View : 43 | Download : 10

Publication Date : 2021-09-20

Article Type : Research Paper

Abstract :Purpose: The aim of the study was to observe the relationship between age, body mass index insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(PASE);. Thoracic kyphosis degrees were measured with a digital inclinometer. Pulmonary Function Test insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(r=0.258,p<0.05);. BMI was also associated with FEV1/FVC insert ignore into journalissuearticles values(r=0.338,p<0.001);. PASE was related with FVC, FEV1 and PEF insert ignore into journalissuearticles values(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 insert ignore into journalissuearticles values(standardized ß=0.25,p<0.05);. The high PASE score was associated with a high FEV1 score insert ignore into journalissuearticles values(standardized ß=0.30,p<0.05);. BMI was the main predictor of FEV1/FVC insert ignore into journalissuearticles values(standardized ß=0.34,p<0.001);. Besides, PASE was the main predictor of PEF insert ignore into journalissuearticles values(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.
Keywords : Physical activity, respiratory function, elderly, thoracic kyphosis

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