Heavy drinking and alcohol-related injuries in college students

Moure-Rodríguez, Lucía; Caamaño-Isorna, Francisco; Doallo, Sonia; Juan-Salvadores, Pablo; Corral, Montserrat; Holguı́n, Socorro Rodrı́guez; Cadaveira, Fernando

doi:10.1016/j.gaceta.2014.02.017

Cited by 24 publications

(17 citation statements)

References 18 publications

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“…Por otra parte, desde hace unos años se viene observando un cambio en el patrón de consumo de alcohol entre los más jóvenes (Calafat y Juan, 2003;Sánchez, Moreno, Rivera y Ramos, 2015). La ingesta de grandes cantidades de alcohol en cortos espacios de tiempo, conocido como binge drinking o consumo intensivo de alcohol, constituye un grave problema sociosanitario, con claras consecuencias negativas (DeCamp, Gealt, Martin, O'Connell y Visher, 2015;López-Caneda et al, 2014;Moure et al, 2014;Parada et al, 2011).…”

Section: E L Crafft Substance Abuse Screening Testunclassified

Validación empírica del CRAFFT Abuse Screening Test en una muestra de adolescentes españoles

et al. 2018

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Section: E L Crafft Substance Abuse Screening Testunclassified

Validación empírica del CRAFFT Abuse Screening Test en una muestra de adolescentes españoles

et al. 2018

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“…National and international surveys of college students usually reveal high rates of alcohol use among this age demographic (European Monitoring Center for Drugs and Drug Addiction, 2011; Substance Abuse and Mental Health Services Administration, 2013), being male students who tend to drink comparatively more than females (Courtney and Polich, 2009; Wicki et al, 2010). For instance, O'Malley and Johnston (2002) found rates around 70% of alcohol use in the last 30 days prevalence among American college students, and Moure-Rodríguez et al (2014) found 7.8% of abstainers among college male students at 20 years old and 11.8% of abstainers among the female ones. However, most reported prevalence and consumption indicators might not be directly comparable among studies since culture-related variations and methodological differences are confounded (Wicki et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Patterns of Alcohol Consumption in Spanish University Alumni: Nine Years of Follow-Up

et al. 2017

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The aim of this study was to empirically identify different profiles of Spanish university alumni, based on their alcohol use over 9 years, and to further characterize them. A cohort study was carried out between 2005 and 2015 among university students (Compostela Cohort-Spain; n2015 = 415). Alcohol consumption was measured using the Alcohol Use Disorder Identification Test (AUDIT). A two-stage cluster analysis, based on their AUDIT total scores was carried out separately for males and females. The further characterization of every profile was based on demographic data, age at onset of alcohol use, positive alcohol-related expectancies, tobacco and cannabis use, as well as their answers to some European Addiction Severity Index items. Five different clusters were identified: Low users (29.2%), Moderated users (37.2%), At-risk users (14.2%), Decreasing users (13.2%) and Large users (6.2%) for females, and Low users (34.4%), At-risk users (25.6%), High-risk users (15.6%), Decreasing users (14.4%) and Large users (10.0%) for males. Being a cannabis user or a smoker was positively associated to those more hazardous clusters in both genders. Regarding females, significant differences in the age of onset and high positive expectancies were found. However, there were few significant differences among the groups in relation to their employment status and social relations. The results reveal the existence of different typologies of alcohol users among university alumni, with differences among males and females. Modifying positive expectancies, limiting access to alcohol at a young age, and reducing uses of other substances uses are key to promote healthier alcohol use profiles and to prevent hazardous uses.

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“…Cohort studies have shown an association between this pattern of alcohol consumption and cognitive [7], structural [8] and neurofunctional effects [9]. Moreover, in the university environment, HED has been associated with poorer academic performance [11], greater consumption of medicines [12], higher incidence of injuries [13] and a higher incidence of risky sexual behavior [10], relative to control subjects. Finally, it is important to take into account that codes of behavior acquired during adolescence tend to be maintained in adulthood [14].…”

Section: Introductionmentioning

confidence: 99%

Identifying Predictors and Prevalence of Alcohol Consumption among University Students: Nine Years of Follow-Up

et al. 2016

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AimTo evaluate the prevalence of alcohol consumption among university students during late adolescence and young adulthood and to identify the associated factors.Material and MethodsCohort study among university students in Spain (n = 1382). Heavy Episodic Drinking (HED) and Risky Consumption (RC) were measured with the Alcohol Use Disorders Identification Test (AUDIT) at ages 18, 20, 22, 24 and 27 years. Data on potential factors associated with alcohol use were obtained with an additional questionnaire. Multilevel logistic regression for repeated measures was used to obtain adjusted OR (Odds Ratios).ResultsThe rates of prevalence of RC were lower, but not statistically significant, in women. The age-related changes in these rates were similar in both genders, and the prevalence of RC peaked at 20 years. By contrast, the prevalence of HED was significantly lower in women and peaked at 18 years in women and at 22 years in men. Multivariate models showed that early age of onset of alcohol use (OR = 10.6 and OR = 6.9 for women; OR = 8.3 and OR = 8.2 for men) and positive expectations about alcohol (OR = 7.8 and OR = 4.5 for women; OR = 3.6 and OR = 3.3 for men) were the most important risk factors for RC and HED. Living away from the family home was also a risk factor for both consumption patterns among women (OR = 3.16 and OR = 2.34), while a high maternal education level was a risk factor for RC among both genders (OR = 1.62 for women; OR = 2.49 for men).ConclusionsAlcohol consumption decreases significantly at the end of youth, with higher rates of prevalence and a later peak among men. Prevention strategies should focus on beliefs and expectations about alcohol and on delaying the age of onset. Women are at particular risk for these consumption patterns if they live away from their parents. Belonging to a high-income family is a strong risk factor for RC.

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Heavy drinking and alcohol-related injuries in college students

Cited by 24 publications

References 18 publications

Validación empírica del CRAFFT Abuse Screening Test en una muestra de adolescentes españoles

Validación empírica del CRAFFT Abuse Screening Test en una muestra de adolescentes españoles

Patterns of Alcohol Consumption in Spanish University Alumni: Nine Years of Follow-Up

Identifying Predictors and Prevalence of Alcohol Consumption among University Students: Nine Years of Follow-Up

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