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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