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Table 6 Separate 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
Age 0.169 (0.061, 0.277) 0.002 0.167 (0.062, 0.272) 0.002
Body mass index 0.042 (−0.067, 0.151) 0.447 0.055 (−0.052, 0.163) 0.313
Highland service years 0.177 (0.069, 0.285) 0.001 0.157 (0.051, 0.262) 0.004
Systolic blood pressure 0.139 (0.033, 0.245) 0.010 0.120 (0.015, 0.226) 0.026
Diastolic blood pressure 0.284 (0.180, 0.388) <0.001 0.214 (0.107, 0.321) <0.001
Heart rate 0.147 (0.040, 0.253) 0.007 0.152 (0.046, 0.258) 0.005
Smoking       
No (ref.) 0.000    0.000   
Yes 0.173 (0.068, 0.278) 0.001 0.143 (0.038, 0.247) 0.008
Drinking       
No (ref.) 0.000    0.000   
Yes −0.014 (−0.121, 0.093) 0.794 0.037 (−0.069, 0.143) 0.490
Education       
≤Elementary school(ref.) 0.000    0.000   
High school −0.029 (−0.140, 0.081) 0.605 −0.101 (−0.211, 0.008) 0.069
≥College 0.047 (−0.064, 0.157) 0.406 0.053 (−0.056, 0.163) 0.340
Occupation       
Regular infantry (ref.) 0.000    0.000   
Engineering and construction 0.162 (0.051, 0.273) 0.004 0.159 (0.050, 0.267) 0.004
Support −0.125 (−0.237, -0.014) 0.028 −0.108 (−0.218, 0.001) 0.052
  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.