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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.