Skip to main content

Table 2 Summary of the optimal model of multiple logistic regression for “with or without acute mountain sickness (AMS)”

From: Does change in barometric pressure per given time at high altitude influence symptoms of acute mountain sickness on Mount Fuji? A pilot study

Independent variables Partial regression coefficient SE Odds ratio 95% CI P values
Lower Upper
ΔPB per hour from the 5th to the summit -0.137 0.083 0.872 0.741 1.025 0.097
Sleepiness on rising -0.047 0.018 0.954 0.904 0.968 0.001
Refreshing -0.067 0.018 0.935 0.920 0.989 <0.001
  1. SE standard error; CI indicates confidence interval of odds ratio