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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

 MenWomenTotal
Survey year
 20131906 (37%)2269 (38%)4175
 20143199 (63%)3664 (62%)6863
Age group
 16–29 years716 (14%)998 (17%)1714
 30–44 years914 (18%)1202 (20%)2116
 45–59 years1277 (25%)1522 (26%)2799
 60–74 years1518 (30%)1502 (25%)3020
 75+ years680 (13%)709 (12%)1389
Area deprivation
 More deprived 40%1826 (36%)2170 (37%)3996
 Less deprived 60%3279 (64%)3763 (63%)7042
Alcohol consumption*
 None526 (10%)854 (13%)1380
 Not binge3041 (64%)3740 (69%)6783
 Binge1440 (26%)1197 (18%)2637
Mean units (drinkers only)
 Beer or Cider6.3 (6.7)1.6 (3.7)4.0 (6.1)
 Wine or Champagne2.1 (4.1)3.8 (4.7)2.9 (4.5)
 Spirits or other1 (2.7)1.5 (3.1)1.2 (2.9)
 Any type9.5 (7.8)6.9 (5.8)8.2 (7.0)
Smoking status*
 Never smoker2242 (44%)3073 (52%)5315
 Ex-smoker1837 (36%)1670 (28%)3507
 Smoker972 (19%)1136 (19%)2108
Mean BMI (SD)27.2 (4.84)27 (5.94)27.1 (5.4)
Total person-years29,221.134,417.863,638.9
Number of admissions169110279
  1. Number of respondents (%) or mean units (Standard deviation, SD)
  2. *Numbers do not sum due to missing data