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The epidemiology, risk factors and impact of exposure on unintentional surfer and bodyboarder deaths.

Jasmin C LawesWilliam KoonIngvar BergDion van de SchootAmy E Peden
Published in: PloS one (2023)
Surfing and bodyboarding (SAB) are popular activities, but not without risk. Limited SAB mortality and exposure risk explorations exist, so this cross-sectional study explores epidemiology and risk factors for SAB deaths (1 July, 2004-30 June,2020) in Australia: including decedent and incident profiles, causes of death, differences between fatalities during SAB and other coastal activities; and the impact of exposure on SAB mortality risk. Fatality data were sourced from the National Coronial Information System, incident and media reports. Tide-state data, population data and participation data were sourced from relevant authorities. Analyses included chi-square testing and simple logistic regression with odds ratios. There were 155 SAB deaths (80.6% surfing; 96.1% male; 36.8% aged 55+years; 0.04/100,000 residents; 0.63/100,000 surfers). Drowning was the most common cause of death (58.1%; n = 90), but higher in bodyboarding, with bodyboarders 4.62 times more likely to drown than surfers (95%CI: 1.66-12.82; p = 0.003). Almost half (44.5%; n = 69; χ22 = 9.802; p = 0.007) were with friends/family, and the largest proportion occurred during a rising tide (41.3%; n = 64; χ23 = 180.627; p<0.001) followed by a low tide (36.8%;n = 57). Australians surf 45.7 times each year, for 1.88 hours each visit equalling 86.1 'exposed' hours. With exposure-time considered, exposure-adjusted surfer mortality rate (0.06/1 million hours) is lower than other in-water activities (0.11/1 million hours). Younger surfers (14-34 years) surfed more yet had the lowest mortality rate (114.5 hours/year; 0.02/1 million hours). Older surfers (55+ years) had a lower SAB mortality rate (0.052) than the all-cause crude mortality rate of their average population counterparts (1.36). Cardiac conditions were identified in 32.9% (n = 69) of SAB deaths. SAB are relatively safe, with lower exposure mortality rates than other activities. Prevention should target older surfers, inland residents, and identification of surfers with risk factors for cardiac events.
Keyphrases
  • risk factors
  • cardiovascular events
  • electronic health record
  • cardiovascular disease
  • physical activity
  • big data
  • healthcare
  • emergency department
  • climate change
  • left ventricular
  • quality improvement
  • machine learning