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Table 7 Multiple linear regression analyses of the relationship between individual DALYs and individual variables after controlling for altitude

From: Burden of disease resulting from chronic mountain sickness among young Chinese male immigrants in Tibet

Variable 2009 (n = 321) 2010 (n = 315)
β 95% CI p β 95% CI p
Altitude 0.254 (0.147, 0.360) <0.001 0.204 (0.098, 0.310) <0.001
Highland service years 0.148 (0.045, 0.251) 0.005 0.135 (0.031, 0.239) 0.011
Systolic blood pressure −0.021 (−0.139, 0.098) 0.732 −0.048 (−0.170, 0.074) 0.438
Diastolic blood pressure 0.183 (0.061, 0.304) 0.003 0.257 (0.137, 0.376) <0.001
Heart rate 0.120 (0.014, 0.225) 0.026 0.085 (−0.023, 0.193) 0.124
Smoking       
No (ref.) 0.000    0.000   
Yes 0.113 (0.010, 0.216) 0.031 0.136 (0.035, 0.236) 0.008
Occupation       
Regular infantry (ref.) 0.000    0.000   
Engineering and construction 0.143 (0.030, 0.257) 0.013 0.150 (0.036, 0.264) 0.010
Support 0.091 (−0.022, 0.205) 0.114 0.077 (−0.036, 0.191) 0.181
  1. ref.: reference; β: regression coefficient of each variable or category; 95% CI: 95% confidence interval of each β; p: p-value of each β.