Table 4

ORs (95% CIs) of medication use related to aircraft and road traffic noise per 10 dB

Medication groupNoise sourceOR (95% CI)N
AntihypertensivesLAeq,24h Road traffic0.98 (0.89 to 1.08)4642
AntacidsLAeq,16h Aircraft1.01 (0.89 to 1.15)4642
Lnight Aircraft1.10 (0.96 to 1.25)4641
LAeq,24h Road traffic1.16 (0.99 to 1.36)4642
Anxiolytics or hypnoticsLAeq,16h Aircraft1.14 (0.97 to 1.34)4642
Lnight Aircraft1.10 (0.93 to 1.31)4641
LAeq,24h Road traffic1.11 (0.92 to 1.34)4642
AnxiolyticsLAeq,16h Aircraft1.28 (1.04 to 1.57)4642
Lnight Aircraft1.27 (1.01 to 1.59)4641
LAeq,24h Road traffic1.06 (0.84 to 1.33)4642
HypnoticsLAeq,16h Aircraft0.96 (0.76 to 1.22)4642
Lnight Aircraft0.90 (0.70 to 1.14)4641
LAeq,24h Road traffic1.28 (0.96 to 1.71)4642
AntidepressantsLAeq,16h Aircraft1.07 (0.90 to 1.26)4642
Lnight Aircraft0.96 (0.81 to 1.13)4641
LAeq,24h Road traffic0.97 (0.78 to 1.21)4642
AntasthmaticsLAeq,16h Aircraft1.05 (0.90 to 1.23)4642
Lnight Aircraft1.03 (0.88 to 1.21)4641
LAeq,24h Road traffic1.01 (0.82 to 1.24)4642
  • The hierarchical structure of each logistic regression model assumed a random intercept accounting for differences in the use of medication between countries and adjustment was made for age, sex, BMI, alcohol intake, education, exercise and smoking status.

    For each of the aircraft noise models (LAeq,16h and Lnight), adjustment was made for exposure to road traffic noise (LAeq,24h); and for the road traffic noise models, adjustment was made for exposure to aircraft noise (LAeq,24h).