Adolescent alcohol use and parental and adolescent socioeconomic position in six European cities

Bosque-Prous, Marina; Kuipers, Mirte A G; Espelt, Albert; Richter, Michael; Rimpelä, Arja; Perelman, Julian; Federico, Bruno; Brugal, M. Teresa; Lorant, Vincent; Kunst, Anton E.

doi:10.1186/s12889-017-4635-7

Cited by 48 publications

(50 citation statements)

References 48 publications

(61 reference statements)

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“…Others similarly reported that accommodation with parents during the semester was negatively associated with high frequency of drinking, heavy episodic drinking, and problem drinking [7]. Our observation that parental education was associated with one alcohol behavior supports other research, where adolescent drinking was associated with adolescents' own but not with parental socioeconomic position [49]. Others found no relationships between alcohol consumption variables and various combinations of parental educational [7].…”

Section: Discussionsupporting

confidence: 84%

“…Very few studies assessed alcohol consumption behaviors and/or academic performance among university students in Finland. Segregated studies examined some variables in isolation, younger or older age groups, or did not include academic performance, [49][50][51]; included one type of alcohol consumption behavior among medical students only [52]; or were outdated [53]. This is despite that the levels of alcohol consumption in Finland, although close to the OECD average, have increased over the last 30 years [54]; and the prevalence of HED in 2016 among those aged 15-19 years in the population was 31.9% and among drinkers only of the same age was 51.6% [55].…”

Section: Introductionmentioning

confidence: 99%

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Is Alcohol Consumption Associated with Poor Perceived Academic Performance? Survey of Undergraduates in Finland

Ansari

Salam

Suominen

2020

IJERPH

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The relationship between academic performance and alcohol consumption among students remains inconsistent. We assessed this relationship, controlling for sociodemographic characteristics across seven faculties at the University of Turku (1177 undergraduates). An online questionnaire assessed: seven sociodemographic characteristics (age, gender, year/discipline of study, accommodation type, being in intimate relationship, parental education, and income sufficiency); two perceived academic performance (students’ subjective importance of achieving good grades and students’ appraisal of their academic performance compared to peers); and six alcohol consumption behaviors (length of time, amount consumed, frequency, heavy episodic drinking, problem drinking, and possible alcohol dependence). Simple logistic regression assessed relationships between sociodemographic and academic variables with alcohol consumption behaviors; multiple logistic regression assessed the same relationships after controlling for all other variables. Students reported long duration and large amount of drinking (46% and 50%), high frequency of drinking (41%), heavy episodic drinking (66%), problem drinking (29%), and possible alcohol dependence (9%). After controlling, gender was associated with all alcohol consumption behaviors, followed by religiosity (associated with four alcohol behaviors), living situation, marital status, age (each associated with two alcohol behaviors), and parental education and year of study (each associated with one alcohol behavior). Study discipline, income sufficiency, importance of achieving good grades, and academic performance compared to peers were not associated with any alcohol behaviors. Universities need to assess problem drinking and alcohol use disorders among students. Prevention strategies are required to reduce risk. Health promotion efforts could focus on beliefs and expectations about alcohol and target student groups at risk for more efficient and successful efforts.

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Section: Discussionsupporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Is Alcohol Consumption Associated with Poor Perceived Academic Performance? Survey of Undergraduates in Finland

Ansari

Salam

Suominen

2020

IJERPH

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“…Regarding age, our findings are consistent with those of other studies [45][46][47][48] that show that alcohol use, as well as the use of other drugs, increases with age. Moreover, this study showed an association between availability of money and excessive alcohol use, finding that as weekly pocket money increases, so does the likelihood of consuming alcohol.…”

Section: Discussionsupporting

confidence: 92%

Social, economic and family factors associated with binge drinking in Spanish adolescents

Vargas-Martínez

Trapero‐Bertran

Mora

et al. 2020

Preprint

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Background: The main aim of this study was to determine the socioeconomic and family factors associated with binge drinking in Spanish adolescents who participated in a web-based computer intervention for the prevention of binge drinking known as Alerta Alcohol. Methods: Longitudinal analyses were carried out in a sample of Andalusian adolescents aged 15 to 19 enrolled in public schools, which was part of a two-arm cluster randomized controlled trial. Panel count data and the following econometric procedures were used: negative binomial, a two-part model and a finite mixture model. A total of 1,247 subjects in the pre-intervention period, with an average age of 16.8 years, plus 612 adolescents in the follow-up period, were included in the analysis. Results: In relation to findings, being older (≥ 17 years old), having more pocket money and higher family alcohol consumption were associated with greater binge drinking. By contrast, subjects who completed the questionnaire on Wednesday, Thursday or Friday, further from the previous weekend, indicated a lower number of occasions of binge drinking. Conclusions: Our results suggest the need to include families, especially parents and siblings, in interventions aimed at preventing alcohol use among adolescents, given the association shown between both weekly pocket money or availability of money to adolescents, family alcohol consumption and binge drinking. Given the findings with regard to age, future research aimed at intervening in early adolescence to prevent binge drinking would be justified.

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“…Despite that "Scandinavian snus" has become the most commonly used tobacco among Norwegian youth [22] and that little difference in "snus" consumption has been observed among adults in terms of education level [23], no other study has, to the best of our knowledge, reported risk of using smokeless tobacco among NEET youth compared to their high school peers. Other studies examining substance use among adolescents have shown that adolescents' drinking habits were related to their own, but not their parents' socioeconomic position [24], and that having high academic goals, such as planning to graduate from university, was identified as a strong protective factor for cannabis, alcohol and tobacco use in adolescence [25]. A cross-sectional study has also indicated that psychosocial factors, such as the inability to control life and emotional isolation, may be plausible mediators for the relationship between unemployment and smoking in Italian adults [26].…”

Section: Discussionmentioning

confidence: 94%

Comparison of risk-behaviors among young people who are not in education, employment or training (NEET) versus high school students. A cross-sectional study

Stea¹,

Ridder²,

Haugland³

2019

Nor J Epidemiol

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Background: Young people who are not in education, employment or training (NEET) have been identified as a vulnerable group at risk of poor social functioning, lower educational achievement, limited job opportunities and financial hardship. Being NEET has also been associated with increased risk of mental and physical health problems, but only a few studies have identified the prevalence of certain health-risk behaviors among NEET youth. The present study contributes to fill the existing knowledge gaps by investigating a broad range of risk behaviors in this vulnerable group compared to their high school peers.Methods: This cross-sectional study included 96 NEET youth and 384 age and gender-matched high school students. A self-report questionnaire was used to assess differences in several risk behaviors, including substance use, low consumption of healthy food and high consumption of unhealthy food and beverages, low leisure time physical activity and low sleep duration. Logistic regression models were adjusted for gender, age and parental education.Results: NEET youth had higher odds of using cannabis (OR 2.2; 95% CI 1.1-4.3), smokeless tobacco (1.7;1.0-2.8), smoking cigarettes (2.6;1.5-4.4), having an irregular consumption of breakfast (2.6;1.5-4.5), lunch (3.1;1.8-5.4) and dinner (1.9;1.1-3.2), having low consumption of vegetables (3.0;1.3-6.7), fruit and berries (5.3;1.6-18.1) and fish (3.0;1.8-5.1) and short sleep duration on weekends (2.6;1.4-4.9) than students. On the other hand, being NEET was associated with decreased odds of short sleep duration on weekdays compared to their high school peers (0.3;0.2-0.5). No differences in alcohol intoxication, consumption frequency of evening meals, consumption of unhealthy food items and beverages and leisure time physical activity were shown between these groups.Conclusions: NEET youth have higher odds of using tobacco, short sleep duration on weekends and lower consumption of healthy food items including vegetables, fruit and fish compared to high school students. These results contribute to identify risk behaviors that are more prevalent among NEET youth compared to students and needs to be addressed through targeted intervention studies.

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Adolescent alcohol use and parental and adolescent socioeconomic position in six European cities

Cited by 48 publications

References 48 publications

Is Alcohol Consumption Associated with Poor Perceived Academic Performance? Survey of Undergraduates in Finland

Is Alcohol Consumption Associated with Poor Perceived Academic Performance? Survey of Undergraduates in Finland

Social, economic and family factors associated with binge drinking in Spanish adolescents

Comparison of risk-behaviors among young people who are not in education, employment or training (NEET) versus high school students. A cross-sectional study

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