title: Predictors of hearing loss in New York farmers.
abstract: BACKGROUND
  Data from the telephone interview portion of the New York Farm Family Health and Hazard Surveillance were used to study self-reported hearing loss in New York farmers.
  
  
  METHODS
  One thousand six hundred and twenty-two persons completed the hearing loss and noise exposure interview. Hearing loss was defined as at least some trouble hearing in one or both ears. Predictors of hearing loss were determined using logistic regression.
  
  
  RESULTS
  Twenty-two percent of participants reported hearing loss. From the logistic regression, significant confounders are age (P = 0.0001), gender (P = 0.0001), being from a livestock farm (P = 0.012), and loss of consciousness due to head trauma (P = 0.04). Significant noise exposures are more hours of lifetime exposure to noisy farm equipment (P = 0.001) and having had a noisy non-farm job (with some hearing protection P = 0.002, without any hearing protection P = 0.0001).
  
  
  CONCLUSIONS
  Farm noise exposure is a serious risk to the hearing of this population. Although use of hearing protection should be encouraged, replacing and modifying farm equipment to decrease noise at the source should be the first priority.
authors: Bureau of Environmental and Occupational Epidemiology, New York State Department of Health, Troy, NY 12180-2216, USA. Sah02@health.state.ny.us
authors: S A
authors: SA
authors: Hwang
authors: M I
authors: MI
authors: Gomez
authors: L
authors: L
authors: Sobotova
authors: A D
authors: AD
authors: Stark
authors: J J
authors: JJ
authors: May
authors: E M
authors: EM
authors: Hallman
mesh_terms: D000328:Adult; D017677:Age Distribution; D000368:Aged; D000382:Agricultural Workers' Diseases / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D003430:Cross-Sectional Studies; D003638:Deafness / Q000453:epidemiology* / Q000209:etiology / Q000517:prevention & control; D004430:Ear Protective Devices; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009518:New York / Q000453:epidemiology; D009623:Noise, Occupational / Q000009:adverse effects*; D015995:Prevalence; D012307:Risk Factors; D017678:Sex Distribution