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Table 1 Subject characteristics. Data are shown as mean ± SD, %, or median (IQR)

From: WEARCON: wearable home monitoring in children with asthma reveals a strong association with hospital based assessment of asthma control

 

Uncontrolled asthma (n = 27)

Controlled asthma (n = 32)

Non-asthmatics (n = 30)

P-value

(ANOVA / Kruskal-Wallis / Chi-square)

Age (y)

8.2 ± 2.8

9.5 ± 2.6

9.3 ± 2.9

0.19 *

Gender (% male)

77%

84%

53% a

0.02 +

Weight (kg)

31.4 ± 10.6

37.9 ± 14.2

32.9 ± 11.5

0.11 *

Length (cm)

133 ± 17

140 ± 17

138 ± 18

0.30 *

BMI z-score

0.43 ± 0.94

0.85 ± 1.17

−0.02 ± 1.13 a

< 0.01 *

ICS use (%)

70%

66%

0% c,d

< 0.01 +

LABA use (%)

11.1%

6.7%

0% c,d

0.19 +

Inhalation allergy (%)

90%

61% b

13% c,d

< 0.01 +

Baseline FEV1 (% pred)

90.6% ± 12.7%

92.9% ± 9.8%

95.7% ± 9.7%

0.21 *

Fall in FEV1 at ECT (%)

27.9% (17.3–32.8%)

6.0% (3.8–9.8%) d

3.1% (0.6–5.1%) d

< 0.01 ^

C-ACT scores

22.0 (17–25)

22.5 (20–25.5)

27.0 (27–27) c,d

< 0.01 ^

  1. Abbreviations: BMI Body mass index, ICS Inhaled corticosteroids, LABA Long acting beta-antagonists, FEV1 Forced expiratory volume in 1 s, ECT Exercise challenge test, C-ACT Childhood asthma control test
  2. aP ≤ 0.05 compared to controlled asthma
  3. bP ≤ 0.05 compared to uncontrolled asthma
  4. cP < 0.01 compared to controlled asthma
  5. dP < 0.01 compared to uncontrolled asthma
  6. *Normally distributed (ANOVA)
  7. ^ Not normally distributed and/or inhomogeneity of variances (Kruskal-Wallis)
  8. + Binary variables > Chi-square