Context matters: Student-perceived binge drinking norms at faculty-level relate to binge drinking behavior in higher education

This data was imported from PubMed:

Authors: Van Damme, J., Hublet, A., De Clercq, B., McAlaney, J., Van Hal, G., Rosiers, J., Maes, L. and Clays, E.

http://eprints.bournemouth.ac.uk/23574/

Journal: Addict Behav

Volume: 59

Pages: 89-94

eISSN: 1873-6327

DOI: 10.1016/j.addbeh.2016.03.011

BACKGROUND: Binge drinking in higher education is an important problem. To target binge drinking in students it is necessary to study the social context of students. Faculties (i.e., colleges or schools in Northern American education) are social contexts in which students behave, but little is known about how the faculty structure relates to monthly binge drinking. This study investigates the relationship with student-perceived binge drinking norms at faculty-level in addition to known personal determinants. METHODS: Data were collected in 7181 students within 22 faculty-level units, using an anonymous online survey. Multilevel analyses were used to investigate the relationship of both individual-level determinants (e.g., perceived norms, social drinking motives) and student-perceived binge drinking norms at faculty-level on monthly binge drinking. RESULTS: Two-third (62.2%) of the sample were female and the mean age was 21.06 (SD=2.85) years. In males, significant faculty-level variance in monthly binge drinking was found. At faculty-level, only same-sex student-perceived binge drinking norms showed a positive relationship (OR=2.581; 95%CI=[1.023,6.509]). At individual level, both opposite- and same-sex perceived binge drinking norms, and social drinking motives positively related to monthly binge drinking. In females, no significant faculty-level variance was found. Only individual-level determinants positively related to monthly binge drinking. No cross-level interactions were found. CONCLUSION: Besides individual determinants, especially in men, faculties are relevant environmental structures and networks to take into account when targeting binge drinking in higher education.

This data was imported from Scopus:

Authors: Van Damme, J., Hublet, A., De Clercq, B., McAlaney, J., Van Hal, G., Rosiers, J., Maes, L. and Clays, E.

http://eprints.bournemouth.ac.uk/23574/

Journal: Addictive Behaviors

Volume: 59

Pages: 89-94

eISSN: 1873-6327

ISSN: 0306-4603

DOI: 10.1016/j.addbeh.2016.03.011

© 2016 Elsevier Ltd. Background: Binge drinking in higher education is an important problem. To target binge drinking in students it is necessary to study the social context of students. Faculties (i.e., colleges or schools in Northern American education) are social contexts in which students behave, but little is known about how the faculty structure relates to monthly binge drinking. This study investigates the relationship with student-perceived binge drinking norms at faculty-level in addition to known personal determinants. Methods: Data were collected in 7181 students within 22 faculty-level units, using an anonymous online survey. Multilevel analyses were used to investigate the relationship of both individual-level determinants (e.g., perceived norms, social drinking motives) and student-perceived binge drinking norms at faculty-level on monthly binge drinking. Results: Two-third (62.2%) of the sample were female and the mean age was 21.06 (SD = 2.85) years. In males, significant faculty-level variance in monthly binge drinking was found. At faculty-level, only same-sex student-perceived binge drinking norms showed a positive relationship (OR = 2.581; 95%CI = [1.023,6.509]). At individual level, both opposite- and same-sex perceived binge drinking norms, and social drinking motives positively related to monthly binge drinking. In females, no significant faculty-level variance was found. Only individual-level determinants positively related to monthly binge drinking. No cross-level interactions were found. Conclusion: Besides individual determinants, especially in men, faculties are relevant environmental structures and networks to take into account when targeting binge drinking in higher education.

This data was imported from Web of Science (Lite):

Authors: Van Damme, J., Hublet, A., De Clercq, B., McAlaney, J., Van Hal, G., Rosiers, J., Maes, L. and Clays, E.

http://eprints.bournemouth.ac.uk/23574/

Journal: ADDICTIVE BEHAVIORS

Volume: 59

Pages: 89-94

eISSN: 1873-6327

ISSN: 0306-4603

DOI: 10.1016/j.addbeh.2016.03.011

The data on this page was last updated at 04:50 on November 12, 2018.