Physical activity level and its clinical correlates in chronic obstructive pulmonary disease: a cross-sectional study

被引:18
|
作者
Andersson, Mikael [1 ,2 ]
Slinde, Frode [3 ]
Groenberg, Anne Marie [3 ]
Svantesson, Ulla [4 ]
Janson, Christer [2 ]
Emtner, Margareta [1 ,2 ]
机构
[1] Uppsala Univ, Dept Neurosci, SE-75124 Uppsala, Sweden
[2] Uppsala Univ, Dept Med Sci Resp Med & Allergol, SE-75124 Uppsala, Sweden
[3] Univ Gothenburg, Sahlgrenska Acad, Dept Internal Med & Clin Nutr, Gothenburg, Sweden
[4] Univ Gothenburg, Sahlgrenska Acad, Dept Clin Neurosci & Rehabil, Gothenburg, Sweden
关键词
Physical activity; Activity monitor; COPD; Physical function; Body composition; PROGNOSTIC VALUE; COPD; REHABILITATION; WALKING; SPEED; DETERMINANTS; PREVALENCE; ENDURANCE; WEAKNESS; TERM;
D O I
10.1186/1465-9921-14-128
中图分类号
R56 [呼吸系及胸部疾病];
学科分类号
摘要
Background: Decreased physical activity is associated with higher mortality in subjects with COPD. The aim of this study was to assess clinical characteristics and physical activity levels (PALs) in subjects with COPD. Methods: Seventy-three subjects with COPD (67 +/- 7 yrs, 44 female) with one-second forced expiratory volume percentage (FEV1%) predicted values of 43 +/- 16 were included. The ratio of total energy expenditure (TEE) and resting metabolic rate (RMR) was used to define the physical activity level (PAL) (PAL = TEE/RMR). TEE was assessed with an activity monitor (ActiReg), and RMR was measured by indirect calorimetry. Walking speed (measured over 30-meters), maximal quadriceps muscle strength, fat-free mass and systemic inflammation were measured as clinical characteristics. Hierarchical linear regression was applied to investigate the explanatory values of the clinical correlates to PAL. Results: The mean PAL was 1.47 +/- 0.19, and 92% of subjects were classified as physically very inactive or sedentary. The walking speed was 1.02 +/- 0.23 m/s, the quadriceps strength was 31.3 +/- 11.2 kg, and the fat-free mass index (FFMI) was 15.7 +/- 2.3 kg/m(2), identifying 42% of subjects as slow walkers, 21% as muscle-weak and 49% as FFM-depleted. The regression model explained 45.5% (p < 0.001) of the variance in PAL. The FEV1% predicted explained the largest proportion (22.5%), with further improvements in the model from walking speed (10.1%), muscle strength (7.0%) and FFMI (3.0%). Neither age, gender nor systemic inflammation contributed to the model. Conclusions: Apart from lung function, walking speed and muscle strength are important correlates of physical activity. Further explorations of the longitudinal effects of the factors characterizing the most inactive subjects are warranted.
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页数:8
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