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. 2007 Apr;92(4):339–342. doi: 10.1136/adc.2006.106278

Table 2 Association between altitude of residence and risk of hospitalisation for atopic childhood asthma (n = 33 808).

Model RR (95% CI) p Value
Univariate analysis
 Altitude of residence (m) 0.151
  <900 1.00
  900–1199 0.89 (0.67 to 1.16) 0.383
  ⩾1200 1.25 (0.95 to 1.64) 0.105
Multivariate analysis
 Altitude of residence (m) <0.001
  <900 1.00
  900–1199 1.49 (1.05 to 2.11) 0.026
  ⩾1200 2.08 (1.45 to 2.98) <0.001
  per 100‐m increase 1.07 (1.01 to 1.12) 0.013
Multivariate analysis (winter hospitalisations for atopic asthma n = 68)
 Altitude of residence (m) 0.041
  <900 1
  900–1199 1.71 (0.77 to 3.80) 0.188
  ⩾1200 2.33 (1.03 to 5.27) 0.042
Multivariate analysis (spring hospitalisations for atopic asthma n = 78)
 Altitude of residence (m) 0.047
  <900 1
  900–1199 1.61 (0.82 to 3.16) 0.169
  ⩾1200 2.05 (1.01 to 4.16) 0.047
Multivariate analysis (summer hospitalisations for atopic asthma n = 68)
 Altitude of residence (m) 0.034
  <900 1
  900–1199 1.36 (0.62 to 2.99) 0.441
  ⩾1200 2.22 (1.03 to 4.81) 0.043
Multivariate analysis (autumn hospitalisations for atopic asthma n = 91)
 Altitude of residence (m) 0.047
  <900 1
  900–1199 1.36 (0.75 to 2.46) 0.026
  ⩾1200 1.87 (1.00 to 3.48) 0.049

RRs and 95% CIs were estimated from logistic regression analyses. The multivariate analyses were fitted with a forward‐stepwise selection procedure, allowing for all variables in table 1, and included the following variables: sex, living environment, neonatal admission to hospital, farming environment, lack of breast feeding, postnatal smoking and low birth weight.