Adolescent exposure to loud music has become a social and health problem whose study demands a holistic approach. The aims of the current study are:(1) To detect early noise-induced hearing loss among adolescents and establish its relationship with their participation in musical recreational activities and (2) to determine sound immission levels in nightclubs and personal music players (PMPs). The participants consisted in 172 14-15 years old adolescents from a technical high school. Conventional and extended high frequency audiometry, transient evoked otoacoustic emissions and questionnaire on recreational habits were administered. Hearing threshold levels (HTLs) were classifi ed as: normal (Group 1), slightly shifted (Group 2), and signifi cantly shifted (Group 3). The musical general exposure (MGE), from participation in recreational musical activities, was categorized in low, moderate, and high exposure. The results revealed an increase of HTL in Group 2 compared with Group 1 (P < 0.01), in Group 3 compared with Group 2 (P < 0.05) only in extended high frequency range, in Group 3 compared with Group 1 (P < 0.01). Besides, a decrease in mean global amplitude, reproducibility and in frequencies amplitude in Group 2 compared with Group 1 (P < 0.05) and in Group 3 compared with Group 1 (P < 0.05). A signifi cant difference (P < 0.05) was found in Group 1's HTL between low and high exposure, showing higher HTL in high exposure. The sound immission measured in nightclubs (107.8-112.2) dBA and PMPs (82.9-104.6) dBA revealed sound levels risky for hearing health according to exposure times. It demonstrates the need to implement preventive and hearing health promoting actions in adolescents.

Young people expose themselves to potentially damaging loud sounds while leisure activities and noise induced hearing loss is diagnosed in increasing number of adolescents. Hearing and music exposure in a group of adolescents of a technical high school was assessed at the ages of: 14-15 (test) and 17-18 (retest). The aims of the current study were: (1) To compare the auditory function between test and retest; (2) to compare the musical exposure levels during recreational activities in test and retest; (3) to compare the auditory function with the musical exposure along time in a subgroup of adolescents. The participants in the test were 172 male; in the retest, this number was reduced to 59. At the test and retest the conventional and extended high frequency audiometry, transient evoked otoacoustic emissions (TEOAEs) and recreational habits questionnaire were performed. In the test, hearing threshold levels (HTLs) were classified as: Normal (Group 1), slightly shifted (Group 2), and significantly shifted (Group 3); the Musical General Exposure (MGE), categorized in: Low, moderate, high, and very high exposure. The results revealed a significant difference (P < 0.0001) between test and retest in the HTL and global amplitude of TEOAEs in Group 1, showing an increase of the HTL and a decrease TEOAEs amplitude. A subgroup of adolescents, with normal hearing and low exposure to music in the test, showed an increase of the HTL according with the categories of MGE in the retest. To implement educational programs for assessing hearing function, ear vulnerability and to promote hearing health, would be advisable.

KEYWORDSaverage run length (ARL); car parts plant; CCC-r control charts; high-quality processes; negative binomial distribution ABSTRACT High-quality industrial processes, characterized by a low fraction of non-conforming items, require paying special attention to the statistical control methods employed since traditional Shewhart's control charts are no longer suitable. In this article, CCC-r charts are considered based on the cumulative count of conforming items inspected until r non-conforming items are observed. However, even though these charts have shown to be useful for high-quality processes, they are characterized by a biased average run length (ARL). In order to help engineers interested in this control methodology to select the best option, a computational study of statistical validation was performed to compare the two most outstanding procedures for the cases r = 2, 3, and 4. The performance was evaluated based on the ARL under control. The application of the CCC-r chart to a real process is shown with data from an automobile parts plant. Finally, analysis and discussion of the results are presented.

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