Abstract: AIMS: The aim of this study was to examine the involvement of adventure tourism and adventure sports activity in injury claims made to the Accident Compensation Corporation (ACC). METHODS: Epidemiological analysis of ACC claims for the period, July 2004 to June 2005, where adventure activities were involved in the injury. RESULTS: 18,697 adventure tourism and adventure sports injury claims were identified from the data, representing 28 activity sectors. Injuries were most common during the summer months, and were most frequently located in the major population centres. The majority of injuries were incurred by claimants in the 20-50 years age groups, although claimants over 50 years of age had highest claims costs. Males incurred 60% of all claims. Four activities (horse riding, mountain biking, tramping/hiking, and surfing) were responsible for approximately 60% of all adventure tourism and adventure sports-related injuries. Slips, trips, and falls were the most common injury initiating events, and injuries were most often to the back/spine, shoulder, and knee. CONCLUSIONS: These findings suggest the need to investigate whether regulatory intervention in the form of codes of practice for high injury count activities such as horse riding and mountain biking may be necessary. Health promotion messages and education programs should focus on these and other high-injury risk areas. Improved risk management practices are required for commercial adventure tourism and adventure sports operators in New Zealand if safety is to be improved across this sector.

Abstract: We examined how the brain organizes interrelated facts during learning and how the facts are subsequently manipulated in a transitive inference (TI) paradigm (e.g., if A<B and B<C, then A<C). This task determined features such as learned facts and behavioral goals, but the learned facts could be organized in any of several ways. For example, if one learns a list by operating on paired items, the pairs may be stored individually as separate facts and reaction time (RT) should decrease with learning. Alternatively, the pairs may be stored as a single, unified list, which may yield a different RT pattern. We characterized RT patterns that occurred as participants learned, by trial and error, the predetermined order of 11 shapes. The task goal was to choose the shape occurring closer to the end of the list, and feedback about correctness was provided during this phase. RT increased even as its variance decreased during learning, suggesting that the learnt knowledge became progressively unified into a single representation, requiring more time to manipulate as participants acquired relational knowledge. After learning, non-adjacent (NA) list items were presented to examine how participants reasoned in a TI task. The task goal also required choosing from each presented pair the item occurring closer to the list end, but without feedback. Participants could solve the TI problems by applying formal logic to the previously learnt pairs of adjacent items; alternatively, they could manipulate a single, unified representation of the list. Shorter RT occurred for NA pairs having more intervening items, supporting the hypothesis that humans employ unified mental representations during TI. The response pattern does not support mental logic solutions of applying inference rules sequentially, which would predict longer RT with more intervening items. We conclude that the brain organizes information in such a way that reflects the relations among the items, even if the facts were learned in an arbitrary order, and that this representation is subsequently used to make inferences.