Journal of Speech Language and Hearing Research · 2001 · 108 citations · 18 references
Health ProfessionsAudiologyDiagnostic AudiologyHearing AssessmentHearing ScienceAdult Hearing AssessmentAudiologic EvaluationHearing HealthHearing ImpairmentHearing LossAscertainment Of Hearing LossBinaural Hearing LossDiagnostic AudiometryHearing Impairment IdentificationKappa StatisticSelf-report Hearing QuestionnairesSensitivitySmallholder Farmers
The New York State Farm Family Health and Hazard Surveillance was conducted to assess the health status and safety practices among year-round adult farmers and farm residents in New York State and included a telephone interview survey of 1,727 persons from 552 farms. To determine the extent to which self-reported hearing loss is in agreement with audiometry, a subset of 376 participants who completed a hearing loss interview and pure-tone audiometry was analyzed. Thirty-six percent of the participants had self-reported hearing loss, defined as at least some difficulty hearing in one or both ears. The prevalence of audiometric hearing impairment, defined as a threshold average greater than 25 dB hearing level, was 9% for the binaural low-frequency average (500, 1000, and 2000 Hz), 29% for the binaural mid-frequency average (1000, 2000, 3000, and 4000 Hz), and 47% for the binaural high-frequency average (3000, 4000, 6000, and 8000 Hz). Agreement between self-report and audiometry was highest for the binaural mid-frequency average (kappa statistic 55%, sensitivity 77%, and specificity 82%). Self-reported hearing loss was found to be a moderately good measure of hearing impairment. We conclude that a simple questionnaire focusing on hearing difficulty is a useful and valid tool for conducting epidemiologic studies of farmers. Whenever possible, a substudy using audiometry should be conducted.
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Annals of Internal Medicine · 1988 · 1.9K citations
Accuracy of Self-reported Hearing Loss
David M. Nondahl, Karen J. Cruickshanks, Terry L. Wiley et al. · International Journal of Audiology · 1998 · 281 citations
John J. May · American Journal of Industrial Medicine · 1999 · 176 citations