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A study of decompression sickness using recorded depth-time profiles.

Richard G Dunford1, Petar D Denoble1, Robert Forbes2

  • 1DAN America, Durham, North Carolina U.S.

Undersea & Hyperbaric Medicine : Journal of the Undersea and Hyperbaric Medical Society, Inc
|March 17, 2020
PubMed
Summary
This summary is machine-generated.

Recreational diving computer data revealed that dive site, nitrox use, and repetitive dives significantly impact decompression sickness (DCS) risk. DCS incidence decreased with age, highlighting factors for safer diving practices.

Keywords:
DCS incidenceDCS probabilityagedecompression illnessdecompression sicknessdive conditionsgendernitrox breathing gasesrepetitive diving

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Area of Science:

  • Diving Medicine
  • Hyperbaric Physiology
  • Recreational Safety

Background:

  • Recreational diving involves risks, including decompression sickness (DCS).
  • Understanding factors influencing DCS is crucial for diver safety.
  • Dive computers collect extensive data on dive profiles and conditions.

Purpose of the Study:

  • To explore the influence of dive profile, breathing gas, repetitive diving, demographics, and site conditions on observed decompression sickness (DCSobs).
  • To analyze DCS risk across different recreational diving groups.
  • To identify key variables associated with DCS occurrence in a large dataset.

Main Methods:

  • Analysis of 122,129 dives recorded by dive computers from 10,358 recreational divers.
  • Utilized a probabilistic decompression model (BVM(3)) to control for dive profile variability.
  • Employed statistical tests including chi-squared, t-test, logistic regression, and log-rank tests to evaluate associations.

Main Results:

  • DCSobs varied significantly by dive group (0.7 to 17.3 cases/10⁴ dives).
  • Higher DCS risk was observed with lower percentage nitrox mixes (22%-29%) compared to higher mixes or air.
  • Repetitive diving with short surface intervals increased DCS risk; DCS decreased with increasing age and differed between genders.

Conclusions:

  • Collecting dive data via computers and controlling for variability is feasible for studying DCS.
  • Analytical results require independent confirmation due to a limited number of observed DCS cases.
  • Future research should focus on gathering more DCS cases and improving data collection methods with stakeholder cooperation.