Prevalence of asthma symptoms in schoolchildren, and climate in west European countries: an ecologic study

Int J Biometeorol. 2013 Sep;57(5):775-84. doi: 10.1007/s00484-012-0606-y. Epub 2012 Nov 14.

Abstract

The aim of the present study was to estimate the associations between the prevalence of asthma symptoms in schoolchildren and meteorological variables in west European countries that participated in the International Study of Asthma and Allergies in Children (ISAAC), Phase III 1997-2003. An ecologic study was carried out. The prevalence of asthma was obtained from this study from 48 centers in 14 countries, and meteorological variables from those stations closest to ISAAC centers, together with other socioeconomic and health care variables. Multilevel mixed-effects linear regression models were used. For schoolchildren aged 6-7 years, the prevalence rate of asthma decreased with an increase in mean annual sunshine hours, showed a positive association with rainy weather, and warm temperature, and a negative one with relative humidity and physician density (PD). Current wheeze prevalence was stronger in autumn/winter seasons and decreased with increasing PD. Severe current wheeze decreased with PD. For schoolchildren aged 13-14 years, the prevalence rates of asthma and current wheeze increased with rainy weather, and these rates decreased with increased PD. Current wheeze, as measured by a video questionnaire, was inversely associated with sunny weather, and nurse density. Severe current wheeze prevalence was stronger during autumn/winter seasons, decreased with PD, and indoor chlorinated public swimming pool density, and increased with rainy weather. Meteorological factors, including sunny and rainy weather, and PD may have some effect on the prevalence rates of asthma symptoms in children from west European countries.

Publication types

  • Multicenter Study

MeSH terms

  • Adolescent
  • Asthma / epidemiology*
  • Child
  • Climate*
  • Environment*
  • Europe / epidemiology
  • Female
  • Humans
  • Male
  • Prevalence
  • Risk Factors
  • Students / statistics & numerical data*
  • Weather*