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Gender Differences in the Prediction of Alcohol Intoxication among Adolescents

Bibliographic Data

ID21645878
AuthorsDiana Jovičić Burić (0000-0002-1748-7914, Hrvatski zavod za javno zdravstvo, corresponding author), Ljiljana Muslić (0000-0002-2379-6270, Hrvatski zavod za javno zdravstvo), Sandro Krašić (0000-0002-5733-7451, University of Zagreb), Martina Markelić (0000-0001-5237-0028, Hrvatski zavod za javno zdravstvo), Iva Pejnović Franelić (Hrvatski zavod za javno zdravstvo), Sanja Musić Milanović (0000-0003-4643-1052, Hrvatski zavod za javno zdravstvo)
Year2021
Volume56
Issue7
Pages1024-1034
Publication date2021-06-07
Open AccessNo
TypeARTICLE
VenueSubstance Use & Misuse (JOURNAL)
Journal identifiersISSN: 1082-6084 • E-ISSN: 1532-2491
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10826084.2021.1906278
PMID33792493
OpenAlexW3144170103
LanguageEN
Citations received7
References cited45

BACKGROUND: Alcohol is one of the most commonly consumed substances in adolescence and can lead to many (mental) health problems. This study aimed to examine social determinants related to family, peers and school achievement as risk factors for alcohol intoxication (AI) among adolescents and to examine whether these risk factors differ in their prediction of AI concerning potential gender differences. METHODS: The data used in this study were obtained from the cross-sectional "European School Survey Project on Alcohol and Other Drugs" and involved 2558 participants who were turning 16 in the year of the research. Multinomial and binary logistic regressions were performed for each AI indicator (lifetime, in the last 12 months, in the last 30 days and heavy episodic drinking (HED) in the last 30 days) in relation to gender. RESULTS: School achievement, parental knowledge, peer pressure (for alcohol consumption and for AI) were found to be consistent predictors for varying AI among adolescents. High school achievement was found to be a protective factor for all AI indicators explored in our study, regardless of gender. Peer pressure made a more pronounced contribution to AI experience among boys, while parental knowledge demonstrated a more protective nature with regards to AI among girls. CONCLUSION: Overall, results indicate that social determinants as predictors of AI among adolescents are consistent across various AI indicators and confirm gender specific predictors for AI. These findings indicate the possible benefit of involving parents in preventive programs and of using a gender perspective regarding observed differences

Adolescent health · Alcohol · Alcohol consumption · Developmental psychology · Logistic regression · Mental health · Multinomial logistic regression · Peer group · Peer pressure · Protective factor · Psychiatry · Alcohol Consumption and Health Effects · Clinical Psychology · Medicine · Prenatal Substance Exposure Effects · Psychology · Social Psychology · Substance Abuse Treatment and Outcomes

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Citations per year1.4
Citation span2021 - 2026 (6)
Highly citedNo

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