Noise Annoyance in Urban Children: A Cross-Sectional Population-Based Study

Int J Environ Res Public Health. 2016 Oct 28;13(11):1056. doi: 10.3390/ijerph13111056.

Abstract

Acoustical and non-acoustical factors influencing noise annoyance in adults have been well-documented in recent years; however, similar knowledge is lacking in children. The aim of this study was to quantify the annoyance caused by chronic ambient noise at home in children and to assess the relationship between these children's noise annoyance level and individual and contextual factors in the surrounding urban area. A cross sectional population-based study was conducted including 517 children attending primary school in a European city. Noise annoyance was measured using a self-report questionnaire adapted for children. Six noise exposure level indicators were built at different locations at increasing distances from the child's bedroom window using a validated strategic noise map. Multilevel logistic models were constructed to investigate factors associated with noise annoyance in children. Noise indicators in front of the child's bedroom (p ≤ 0.01), family residential satisfaction (p ≤ 0.03) and socioeconomic characteristics of the individuals and their neighbourhood (p ≤ 0.05) remained associated with child annoyance. These findings illustrate the complex relationships between our environment, how we may perceive it, social factors and health. Better understanding of these relationships will undoubtedly allow us to more effectively quantify the actual effect of noise on human health.

Keywords: children; chronic noise exposure; noise annoyance; social inequality; urban area.

MeSH terms

  • Anger
  • Child
  • Cross-Sectional Studies
  • Environmental Exposure / adverse effects*
  • Environmental Exposure / prevention & control
  • Female
  • France / epidemiology
  • Housing
  • Humans
  • Male
  • Noise / adverse effects*
  • Noise / prevention & control
  • Noise, Transportation / prevention & control*
  • Noise, Transportation / statistics & numerical data*
  • Residence Characteristics
  • Schools
  • Self Report
  • Social Class
  • Surveys and Questionnaires
  • Urban Population*