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Table 4 Multiple linear regression coefficients for regression of lifetime total alcohol and beverage specific alcohol intake on FEV1% and FVC%,

From: Beverage specific alcohol intake in a population-based study: Evidence for a positive association between pulmonary function and wine intake

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
  1. 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