RT Journal Article
SR Electronic
T1 Association of pulmonary dysfunction with physical inactivity and loss of muscle mass in elderly COPD patients
JF European Respiratory Journal
JO Eur Respir J
FD European Respiratory Society
SP P2511
VO 42
IS Suppl 57
A1 Kazuya Yoshimura
A1 Susumu Sato
A1 Shigeo Muro
A1 Minoru Yamada
A1 Hirofumi Kiyokawa
A1 Michiaki Mishima
A1 Tomoki Aoyama
YR 2013
UL http://erj.ersjournals.com/content/42/Suppl_57/P2511.abstract
AB Sustaining muscle mass and physical activity are important in terms of physical functions and quality of life of COPD patients. However, it is still unclear as well as difficult to understand whether the relationship between muscle wasting and physical inactivity in COPD patients is disease specific or due to physiological aging. The present study aimed to determine the pulmonary factors associated with muscle mass and physical activity among elderly patients with COPD by analyzing specific respiratory functions, body composition, physical activity, and daily diet.We enrolled outpatients with COPD who were aged ≥60 years. Pulmonary function tests (spirometry, residual volume, total lung capacity, and diffusing capacity) were performed. Skeletal muscle mass index (SMI) was measured using bioelectrical impedance, and then, daily physical activity and intake of energy or protein were recorded for 2 weeks using a pedometer and the food frequency questionnaire.Thirty-eight patients (mean age and %FEV1; 74.8 y.o. and 49.5%) were investigated. SMI had a significant positive relationship with BMI (r = 0.63) and %DLCO (r = 0.47) after controlling for %FEV1. The number of daily steps showed a relationship with %FVC, %DLCO, SMI, and energy and protein intake. These measurements were significant after controlling for %FEV1. Multivariate analysis showed that %FVC (β = 0.40) and SMI (β = 0.44) were the determinants of number of daily steps.Both muscle mass and physical activity were associated with %DLCO and %FVC, respectively, and were independent of %FEV1. These pulmonary factors may be used as markers to predict physical function among COPD patients.