Alcohol use disorders, beverage preferences and the influence of alcohol marketing: a preliminary study

Table 2 Descriptive data of the sample: Sociodemographic data and familial and personal history with alcohol

Age M (Min-Max)	46.2 (19–71)
*Variables*	*% (N)*
Male	73.6 (67)
Female	26.3 (24)
Living alone	65.9 (60)
Urban	84.6 (77)
Rural	15.4 (14)
Having children	67.0 (61)
Stable housing	94.5 (86)
Over school leaving age	46(N = 51)
Income (monthly)
No professional income	35.0 (32)
Income under 1200 euros	9.9 (9)
Income over 1200 euros	45 (41)
No answer	9.9 (9)
History of regular alcohol consumption in the family	78.6 (71)
History of AUD in the family	80.8 (73)
Beverage preferences in the family
Strong Beers	0.0 (0)
Standard-strength beers	26.4 (24)
Wine	72.5 (66)
Spirits	34.0 (31)
Personal beverage preferences at the initiation of alcohol consumption
Strong Beers	0.0 (0)
Standard-strength beers	56 (51)
Wine	20.9 (19)
Spirits	27.5 (25)
Personal beverage preferences at the onset of the AUD
Strong Beers	18.7 (17)
Standard-strength beers	26.4 (24)
Wine	38.5 (35)
Spirits	38.5 (35)
Current severity of AUD (DSM 5 criteria)
Severe AUD	88 (80)
Moderate AUD	12 (11)
Duration of AUD
Under 9 years	31.9 (29)
From 10 to 19 years	29.6 (27)
Over 20 years	35.2 (32)
No answer	3.3 (3)
AUD-related damage
criminal offence-related^a	54.8 (59)
medical ^b	75.8 (69)
socio-economic^c	88 (80)

^a Types of criminal offence-related damage: 41.8% had been arrested for drink-driving, 45% (41) banned from driving, 16.5 (15) had been convicted for violent behaviour, and 23% had been convicted for unspecified reasons
^b Types of medical damage: 57.1% (52) described an alteration of their general state of health, 27.5% (25) neurological damage, 26.4% (24) described liver or digestive damage, and 18.7% (17) dermatological damage
^cTypes of socio-economic damage: 58.2% (53) described isolation, 35.1% (32) financial damage, 42.8% (39) professional damage, and 52.7% (48) damage to marital relationship

ISSN: 1747-597X