Journals / Journal of Basic and Clinical Health Sciences / 2021 / Volume: 5 Issue: 3

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

Serkan Bakırhan(EGE ÜNİVERSİTESİ, SAĞLIK BİLİMLERİ FAKÜLTESİ)0000-0003-0044-8203
Sevnaz Şahin(EGE ÜNİVERSİTESİ)0000-0001-5457-901X
Fatih Özden(MUĞLA SITKI KOÇMAN ÜNİVERSİTESİ, KÖYCEĞİZ SAĞLIK HİZMETLERİ MESLEK YÜKSEKOKULU)0000-0001-6593-3758
Pages
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Publication Date
2021-09-20
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

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.

📌 3 Key Takeaways

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Objective & Hypothesis: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.
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Key Findings & Data:Methods: A prospective cross-sectional study was carried out with 70 older adults.
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Conclusion & Impact: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.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Physical activity · respiratory function · elderly

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.

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Cite This Article

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, Volume: 5 Issue: 3. https://doi.org/10.30621/jbachs.879109

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