Feasibility of Epidemiologic Research on Nonauditory Health Effects of Residential Aircraft Noise Exposure. Volume 2. Background, General Process Model and Potential Studies

Abstract

This report examines the feasibility of conducting epidemiologic studies that would support inferences about effects of residential exposure to aircraft noise on nonauditory health. The type of aircraft noise of particular interest is that associated with supersonic and low altitude, high speed flight in Military Operating Areas (MOAs) and Military Training Routes (MTRs): both sonic booms and high peak level, rapid onset time subsonic noise. Potential studies considered are those with observation designs that are community-based or derived from audiometric databases. Since the primary goal of such studies is to improve Air Force's ability to predict the effects on nonauditory health of noise exposure near MOAs and MTRs, such studies must provide: a demonstration of a causal chain from aircraft noise exposure to nonauditory adverse health consequences; and a reliable quantitative relationship between amount of noise exposure (dose) and degree of specific health consequences (effect). Keywords: Epidemiology; Aircraft noise; Annoyance; Community response; Psychoacoustics; Dose-response relationships.

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Document Details

Document Type
Technical Report
Publication Date
Jan 27, 1989
Accession Number
ADA220049

Entities

People

  • Barbara G. Tabachnick
  • Sanford Fidell
  • Shirley Thompson

Organizations

  • BBN Technologies

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Cardiac Arrhythmias
  • Cardiovascular Physiological Phenomena
  • Cardiovascular System
  • Databases
  • Health Services
  • Human Factors Engineering
  • Medical Personnel
  • Myocardial Ischemia

Readers

  • Acoustics.
  • Auditory Neuroscience/Auditory Physiology.
  • Mental Health of Military Veterans with Posttraumatic Stress Disorder (PTSD): Risk Factors, Prevalence, Symptoms, and Treatment.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Hypersonics