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Occupational and recreational noise exposures were evaluated at two sporting arenas hosting collegiate hockey games (Venue 1) and semi-professional hockey (Venue 2). A total of 54 personal noise dosimetry samples were taken over the course of seven home hockey games: 15 workers and 9 fans at Venue 1, and 19 workers and 11 fans at Venue 2. None of the sampled workers were overexposed to noise based on Occupational Safety and Health Administration criteria. However, 40% and 57% of workers at Venue 1 and 33% and 91% of fans at Venue 2 were overexposed based on ACGIH noise exposure criteria. Noise exposures for fans were significantly different between venues, but worker noise exposures between venues were not significantly different. In addition, extensive area noise monitoring was conducted at each venue to further characterize the stadium noise on a location-by-location basis. Mean equivalent sound pressure levels ranged from 81 to 96 dBA at Venue 1 and from 85 to 97 dBA at Venue 2. Mean noise peak levels ranged from 105 to 124 dBA at Venue 1, and from 110 to 117 dBA at Venue 2. These data reflect the potential for overexposure at indoor hockey events and are useful in characterizing occupational noise exposure of indoor arena support staff and may also provide a foundation for future noise control research in indoor sports arenas.

Work involving forest logging is considered one of the most dangerous occupations in the world. In the intermountain region of Montana and Idaho in the United States, the extreme terrain, remote location and severe weather conditions escalate risk. Although safety has improved through the development of mechanized equipment, logging tasks continue to be very hazardous. Thus, as with leading companies in other occupational sectors, logging enterprises are beginning to consider safety climate as a useful measure in their safety systems. The purpose of this study was to quantify safety climate within the logging industry of Montana, USA and to identify specific determinants of safety climate. A demographic, musculoskeletal symptom (MSS), and safety climate survey (NOSACQ-50) was administered to 743 professional loggers. Analyses were conducted to determine the association between demographic characteristics, MSS, workplace variables and the scores on five safety climate dimensions (management safety priority and ability, workers' safety commitment, workers' safety priority and risk non-acceptance, peer safety communication, learning and trust in safety ability, and workers' trust in efficacy of safety systems). Variables identified as predictors of safety climate included logging system type, supervisory status, age, years of experience and reported MSS. As safety climate is a leading indicator of workplace safety, if work groups with the lowest safety climate scores can be identified, they could receive targeted safety intervention programs or resources; thereby directing resources to the groups who need it the most, without relying on lagging indicators such as injury and fatality rates.

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