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Table 1 Characteristics of the study population

From: Drinking beer, wine or spirits – does it matter for inequalities in alcohol-related hospital admission? A record-linked longitudinal study in Wales

 

Men

Women

Total

Survey year

 2013

1906 (37%)

2269 (38%)

4175

 2014

3199 (63%)

3664 (62%)

6863

Age group

 16–29 years

716 (14%)

998 (17%)

1714

 30–44 years

914 (18%)

1202 (20%)

2116

 45–59 years

1277 (25%)

1522 (26%)

2799

 60–74 years

1518 (30%)

1502 (25%)

3020

 75+ years

680 (13%)

709 (12%)

1389

Area deprivation

 More deprived 40%

1826 (36%)

2170 (37%)

3996

 Less deprived 60%

3279 (64%)

3763 (63%)

7042

Alcohol consumption*

 None

526 (10%)

854 (13%)

1380

 Not binge

3041 (64%)

3740 (69%)

6783

 Binge

1440 (26%)

1197 (18%)

2637

Mean units (drinkers only)

 Beer or Cider

6.3 (6.7)

1.6 (3.7)

4.0 (6.1)

 Wine or Champagne

2.1 (4.1)

3.8 (4.7)

2.9 (4.5)

 Spirits or other

1 (2.7)

1.5 (3.1)

1.2 (2.9)

 Any type

9.5 (7.8)

6.9 (5.8)

8.2 (7.0)

Smoking status*

 Never smoker

2242 (44%)

3073 (52%)

5315

 Ex-smoker

1837 (36%)

1670 (28%)

3507

 Smoker

972 (19%)

1136 (19%)

2108

Mean BMI (SD)

27.2 (4.84)

27 (5.94)

27.1 (5.4)

Total person-years

29,221.1

34,417.8

63,638.9

Number of admissions

169

110

279

  1. Number of respondents (%) or mean units (Standard deviation, SD)
  2. *Numbers do not sum due to missing data