Influence of well-known risk factors for hearing loss in a longitudinal twin study.

Objective: The aim was to investigate the influence of environmental exposures on hearing loss in a twin cohort.

Study Sample: Male twins born 1914-1958, representing an unscreened population, were tested for hearing loss at two occasions, 18 years apart.

Design: Clinical audiometry and a questionnaire were performed at both time points in this longitudinal study.

A comparison of occupational and nonoccupational noise exposures in Sweden.

This study was conducted to evaluate noise exposures and the contributions of occupational and nonoccupational activities among three groups of Swedish workers (office workers, day care workers, and military flight technicians), and to evaluate risk factors for elevated hearing threshold levels. Forty-five subjects were recruited across the three groups. Each subject completed a risk factor questionnaire along with Békésy audiometry at frequencies between 125 and 8000 Hz.

Beliefs and attitudes among Swedish workers regarding the risk of hearing loss.

The beliefs and attitudes regarding the risk of hearing loss and their impact on hearing protector use were investigated among Swedish workers. A questionnaire, developed by the US National Institute for Occupational Safety and Health (NIOSH), was used. The study objective was to assess workers' attitudes towards using hearing protection devices (HPDs) and to enhance the ability of workers to protect themselves from occupational hearing loss.

Audiometric findings in workers exposed to low levels of styrene and noise.

Audiometry and exposure measurements were conducted on workers from fiberglass and metal products manufacturing plants and a mail distribution terminal (N = 313). Workers exposed to noise and styrene had significantly worse pure-tone thresholds at 2, 3, 4, and 6 kHz when compared with noise-exposed or nonexposed workers. Age, noise exposure, and urinary mandelic acid (a biologic marker for styrene) were the variables that met the significance level criterion in the multiple logistic regression.