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. 2022;25(3):143-149.
doi: 10.1298/ptr.E10208. Epub 2022 Dec 22.

Prediction of Low-intensity Physical Activity in Stable Patients with Chronic Obstructive Pulmonary Disease

Atsuyoshi Kawagoshi  1 , Masahiro Iwakura  1 , Yutaka Furukawa  1 , Keiyu Sugawara  1 , Hitomi Takahashi  2 , Takanobu Shioya  3
Affiliations

Prediction of Low-intensity Physical Activity in Stable Patients with Chronic Obstructive Pulmonary Disease

Atsuyoshi Kawagoshi et al. Phys Ther Res. 2022.

Abstract

Objective: To develop an equation of the predicted amount of low-intensity physical activity (LPA) by analyzing clinical parameters in patients with chronic obstructive pulmonary disease (COPD).

Methods: In this cross-sectional study, we analyzed the assessments of clinical parameters evaluated every 6 months from the start of pulmonary rehabilitation in 53 outpatients with stable COPD (age 77 ± 6 yrs; 46 men; body mass index 21.8 ± 4.1 kg/m2; forced expiratory volume in one second 63.0 ± 26.4% pred). An uniaxial accelerometer was used to measure the number of steps and the time spent in LPA of 1.8-2.3 metabolic equivalents during 14 consecutive days. We also evaluated body composition, respiratory function, skeletal muscle strength, inspiratory muscle strength, exercise capacity, and gait speed. Factors associated with the time spent in LPA were examined by multivariate regression analysis. Internal validity between the predicted amount of LPA obtained by the equation and the measured amount was examined by regression analysis.

Results: Multivariate regression analysis revealed that gait speed (β = 0.369, p = 0.007) and maximum inspiratory mouth pressure (PImax) (β = 0.329, p = 0.016) were significant influence factors on LPA (R2 = 0.354, p <0.001). The stepwise regression analysis showed a moderate correlation between the measured amount and predicted amount of LPA calculated by the regression equation (r = 0.609, p <0.001; LPA = 31.909 × gait speed + 0.202 × PImax - 20.553).

Conclusion: Gait speed and PImax were extracted as influence factors on LPA, suggesting that the regression equation could predict the amount of LPA.

Keywords: COPD; Low-intensity physical activity; Prediction equation.

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Figures

Fig. 1.
Fig. 1.
Patient’s flow diagram
Fig. 2.
Fig. 2.
Association between LPA and associated variables (A) PImax, (B) QF, (C) 6MWD, and (D) gait speed LPA, low-intensity physical activity; PImax, maximum inspiratory mouth pressure; QF, quadriceps femoris muscle force; 6MWD, six-minute walk distance
See this image and copyright information in PMC

References

    1. Garcia-Aymerich J, Lange P, et al. : Regular physical activity reduces hospital admission and mortality in chronic obstructive pulmonary disease: a population based cohort study. Thorax. 2006; 61: 772–778. - PMC - PubMed
    1. Waschki B, Kirsten A, et al. : Physical activity is the strongest predictor of all-cause mortality in patients with COPD: a prospective cohort study. Chest. 2011; 140: 331–342. - PubMed
    1. Casaburi R: Activity promotion: a paradigm shift for chronic obstructive pulmonary disease therapeutics. Proc Am Thorac Soc. 2011; 8: 334–337. - PubMed
    1. Ries AL, Bauldoff GS, et al. : Pulmonary rehabilitation: joint ACCP/AACVPR evidence-based clinical practice guidelines. Chest. 2007; 131: 4S–42S. - PubMed
    1. Rabe KF, Hurd S, et al. : Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: GOLD executive summary. Am J Respir Crit Care Med. 2007; 176: 532–555. - PubMed