Table 2 Result of the Cox proportional hazards model for the association between alcohol consumption and CKD development.

From: Effect of body mass index on the association between alcohol consumption and the development of chronic kidney disease

Amount of alcohol consumption

Incidence rate

(per 1000 PY)

Age and sex adjusted model 1

Multivariate model 2a

HR

95% CI

P value

P trendb

HR

95% CI

P value

P trendb

CKD (eGFR < 60 mL/min/1.73 m2 and/or proteinuria)

 Infrequent

16.2

Ref

  

0.32

Ref

  

0.18

 < 20 g/day

16.6

0.81

0.69–0.95

0.01

 

0.81

0.69–0.95

0.01

 

 20–39 g/day

21.4

0.82

0.66–1.02

0.07

 

0.81

0.65–1.00

0.05

 

 ≥ 40 g/day

27.2

1.01

0.79–1.30

0.91

 

0.96

0.74–1.23

0.74

 

eGFR decline to < 60 mL/min/1.73 m2

 Infrequent

7.9

Ref

  

0.32

Ref

  

0.56

 < 20 g/day

6.5

0.90

0.70–1.15

0.39

 

0.88

0.69–1.12

0.31

 

 20–39 g/day

6.4

0.96

0.65–1.41

0.84

 

0.92

0.62–1.34

0.65

 

 ≥ 40 g/day

9.3

1.55

1.01–2.36

0.04

 

1.4

0.91–2.14

0.12

 

New-onset of proteinuria

 Infrequent

9

Ref

  

0.036

Ref

  

0.034

 < 20 g/day

10.2

0.72

0.58–0.88

0.001

 

0.73

0.60–0.90

0.003

 

 20–39 g/day

15

0.72

0.56–0.93

0.01

 

0.73

0.56–0.94

0.02

 

 ≥ 40 g/day

19.2

0.84

0.63–1.13

0.25

 

0.82

0.61–1.11

0.21

 
  1. Outcomes were CKD (composite outcome of eGFR decline and/or new-onset of proteinuria) and eGFR decline and new-onset of proteinuria, respectively.
  2. CKD chronic kidney disease, eGFR estimated glomerular filtration rate, CI confidence interval, HR hazard ratio, PY person-years.
  3. aMultivariable adjustment included age, sex, eGFR, hypertension, diabetes mellitus, hyper lipidemia, body mass index, smoking status.
  4. bP trend was derived from Cox proportional hazards regression models by treating alcohol consumption as a continuous linear term.