Table 4

Multiple linear regression coefficients for regression of lifetime total alcohol and beverage specific alcohol intake on FEV₁% and FVC%,

Variable

FEBV₁%^†

FVC%^‡

β

95% CI

β

95% CI

Lifetime alcohol intake^#

Variables entered separately

Total alcohol

0.001

-0.999–1.017

0.271

-0.687–1.228

Total Wine (red and white wine)

1.607^**

0.593–2.621

1.267^*

0.292–2.241

White Wine

1.825^**

0.660–2.990

1.396^*

0.277–2.516

Red Wine

1.277^*

0.008–2.546

1.262^*

0.044–2.480

Beer

-0.387

-1.193–0.419

-0.056

-0.823–0.711

Liquor

-0.042

-0.825–0.909

-0.135

-0.966–0.697

Lifetime alcohol intake^#

Variables entered simultaneously

Total Wine (red and white wine)

1.696^**

0.662–2.730

1.349^**

0.355–2.343

Beer

-0.503

-1.007–0.791

-0.097

-0.884–0.691

Liquor

-0.108

-1.007–0.791

-0.324

-1.187–0.540

^†adjusted for smoking status (never, former, current), total pack-years of smoking, weight, education, eosinophil count and serum vitamin E, vitamin c, lutein/zeaxanthin, β-cryptoxanthin and retinol levels ^‡ adjusted for smoking status, total pack-years of smoking, weight, education and serum vitamin E, vitamin C, β-cryptoxanthin and lutein/zeaxanthin levels ^# alcohol variables, expressed in kg, were log transformed to closer approximate a normal distribution. Transformation is based on Ig10 (alcohol intake + 1), where alcohol intake resembles beverage specific or total intake over the lifetime ^*p < 0.05, ^**p < 0.01

Schünemann et al. BMC Pulmonary Medicine 2002 2:3   doi:10.1186/1471-2466-2-3