METHODS: A survey was conducted during the Malaysian Universities Games in Kuala Lumpur 2014. A total of 614 athletes completed the questionnaires on perception, specific knowledge, environment, behavior and beliefs towards doping.
RESULTS: From this survey, we found that their knowledge about doping and antidoping was poor, they have misguided beliefs and perception about doping, and their environment seems to be favorable for performance enhancing substances usage in the future. We grouped the athletes based on their doping's environment into ultraclean, potential and high-risk group; and the results showed that they have a significant relationship with their knowledge, beliefs and perception about doping in sports, P<0.001. About 1.5-1.8% of the studied athletes have positive behavior towards doping practice; doping use, χ2 =24.6(2) P<0.001 and doping willingness, χ2 =17.15(2) P<0.001.
CONCLUSIONS: Doping behavior and doping risks in this region are still under-studied. Hence, we recommended that every South East Asia countries would identify the potential risks of doping among their young athletes, and collectively collaborating in managing doping issues involving this region. Special attention should be given to doping environment as it has negative influences on athletes behavior towards doping.
METHODS: This was a prospective, international, multicenter cohort study of out-of-hospital cardiac arrest in the Asia-Pacific. Arrests caused by trauma, patients who were not transported by emergency medical services (EMS), and pediatric out-of-hospital cardiac arrest cases (<18 years) were excluded from the analysis. Modifiable out-of-hospital factors (bystander cardiopulmonary resuscitation [CPR] and defibrillation, out-of-hospital defibrillation, advanced airway, and drug administration) were compared for all out-of-hospital cardiac arrest patients presenting to EMS and participating hospitals. The primary outcome measure was survival to hospital discharge or 30 days of hospitalization (if not discharged). We used multilevel mixed-effects logistic regression models to identify factors independently associated with out-of-hospital cardiac arrest survival, accounting for clustering within each community.
RESULTS: Of 66,780 out-of-hospital cardiac arrest cases reported between January 2009 and December 2012, we included 56,765 in the analysis. In the adjusted model, modifiable factors associated with improved out-of-hospital cardiac arrest outcomes included bystander CPR (odds ratio [OR] 1.43; 95% confidence interval [CI] 1.31 to 1.55), response time less than or equal to 8 minutes (OR 1.52; 95% CI 1.35 to 1.71), and out-of-hospital defibrillation (OR 2.31; 95% CI 1.96 to 2.72). Out-of-hospital advanced airway (OR 0.73; 95% CI 0.67 to 0.80) was negatively associated with out-of-hospital cardiac arrest survival.
CONCLUSION: In the PAROS cohort, bystander CPR, out-of-hospital defibrillation, and response time less than or equal to 8 minutes were positively associated with increased out-of-hospital cardiac arrest survival, whereas out-of-hospital advanced airway was associated with decreased out-of-hospital cardiac arrest survival. Developing EMS systems should focus on basic life support interventions in out-of-hospital cardiac arrest resuscitation.