Area Specific Self-Esteem, Values, and Adolescent Substance Use

Autor/inn/en	Donnelly, Joseph; Young, Michael; Pearson, Rebecca; Penhollow, Tina M.; Hernandez, Aida
Titel	Area Specific Self-Esteem, Values, and Adolescent Substance Use
Quelle	In: Journal of Drug Education, 38 (2008) 4, S.389-403 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0047-2379
Schlagwörter	Narcotics; Self Esteem; Prevention; Public Health; Substance Abuse; Adolescents; Values; Motivation; Resistance (Psychology); Correlation; Peer Influence; Family Influence; Health Behavior; Smoking; Drinking; Drug Abuse; Secondary School Students; Age Differences; Gender Differences; At Risk Students + Suchen Sie Ihr Suchwort? Narcotic; Betäubungsmittel; Self-esteem; Selbstaufmerksamkeit; Prävention; Vorbeugung; Gesundheitswesen; Drug use; Drug consomption; Drogenkonsum; Adolescent; Adolescence; Adoleszenz; Jugend; Jugendalter; Jugendlicher; Wertbegriff; psychologische; Motivation (psychologisch); Resistenz; Korrelation; Health behaviour; Gesundheitsverhalten; Rauchen; Trinken; Sekundarschüler; Age; Difference; Age difference; Altersunterschied; Geschlechterkonflikt
Abstract	The use of illicit and licit drugs continues to be a major public health concern. Many prevention and drug education programs address this issue by attempting to enhance self-esteem. The idea is that increased levels of self-esteem will serve as a protective factor in decreasing the motivation and increasing the resistance to use drugs. This study explored the relationship between area specific self-esteem and adolescent substance use. Participants (n = 700) completed a self-report questionnaire which included items measuring the use and expected use of selected substances. Results indicated significant differences in home and school self-esteem scores between users/expected users and non-users of a given substance for all 14 behavioral measures. Additionally, the peer, home, and school sub-scales as a set were found to distinguish between users and non-users for all 14 behavioral measures. Results should be of value to those designing prevention programming. (Contains 2 tables.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10