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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.