Table 5

Factors associated with greater asthma prevalence across four sites in Peru

n=2953Single variableMultivariable
OR95% CIp ValueOR95% CIp Value
Age (per 10 years)1.02(0.91 to 1.14)0.711.03(0.90 to 1.18)0.68
Male vs female sex (female as reference)0.62(0.47 to 0.83)0.0010.60(0.39 to 0.93)0.02
Height (cm)0.97(0.96 to 0.99)<0.0011.01(0.98 to 1.03)0.582
High altitude vs sea-level (sea-level as reference)0.29(0.19 to 0.42)<0.0010.26(0.16 to 0.42)<0.001
Smoking per 10 pack-years0.94(0.68 to 1.16)0.620.99(0.73 to 1.22)0.93
BMI (kg/m2)1.05(1.02 to 1.08)<0.0011.02(0.98 to 1.05)0.35
Urban vs rural (rural as reference)3.86(2.78 to 5.47)<0.0014.72(3.15 to 7.23)<0.001
Family history of asthma2.72(1.81 to 3.98)<0.0011.83(1.19 to 2.73)0.004
Hypertension1.36(0.97 to 1.87)0.071.24(0.85 to 1.79)0.27
Daily vs other biomass fuel usage0.43(0.29 to 0.63)<0.0011.18(0.70 to 1.91)0.51
High wealth index1.26(0.94 to 1.68)0.110.80(0.54 to 4.02)0.16
  • BMI, body mass index.