IDEAS home Printed from https://ideas.repec.org/a/aph/ajpbhl/1995857921-926_1.html
   My bibliography  Save this article

Correlates of college student binge drinking

Author

Listed:
  • Wechsler, H.
  • Dowdall, G.W.
  • Davenport, A.
  • Castillo, S.

Abstract

Objectives. This study examines the individual correlates of college student hinge drinking. Methods. Questionnaires were completed by a representative national sample (n = 17 592) of students on 140 campuses in 1993. Binge drinking was defined as five or more drinks per episode for men and as four or more drinks per episode for women. Results. Overall, 44% of the students (50% of the men and 39% of the women) hinged. While demographic factors such as sex and race were significantly related to hinge drinking, prior hinging in high school was crucial, suggesting that for many students, binge drinking begins fore college. The strongest predictors of college hinge drinking were residence in a fraternity or sorority, adoption of a party- centered lifestyle, and engagement in other risky behaviors. Conclusions. Interventions must be targeted at high school hinge drinking as well as at several characteristics of college life-most notably fraternity residence. Legal drinking age fails to predict binge drinking, raising questions about the effectiveness of the legal minimum drinking age of 21 in college alcohol policies.

Suggested Citation

  • Wechsler, H. & Dowdall, G.W. & Davenport, A. & Castillo, S., 1995. "Correlates of college student binge drinking," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 921-926.
    • Handle: RePEc:aph:ajpbhl:1995:85:7:921-926_1
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Franklin, Cortney A., 2010. "Physically forced, alcohol-induced, and verbally coerced sexual victimization: Assessing risk factors among university women," Journal of Criminal Justice, Elsevier, vol. 38(2), pages 149-159, March.
    2. Jenny Williams, 2005. "Habit formation and college students' demand for alcohol," Health Economics, John Wiley & Sons, Ltd., vol. 14(2), pages 119-134, February.
    3. Evans-Polce, Rebecca J. & Jang, Bohyun Joy & Maggs, Jennifer L. & Patrick, Megan E., 2020. "Gender and age differences in the associations between family social roles and excessive alcohol use," Social Science & Medicine, Elsevier, vol. 244(C).
    4. Jenny Williams & Frank J. Chaloupka & Henry Wechsler, 2005. "Are There Differential Effects of Price and Policy on College Students’Drinking Intensity?," Contemporary Economic Policy, Western Economic Association International, vol. 23(1), pages 78-90, January.
    5. María-Teresa Cortés-Tomás & José-Antonio Giménez-Costa & Beatriz Martín-del-Río & Consolación Gómez-Íñiguez & Ángel Solanes-Puchol, 2021. "Binge Drinking: The Top 100 Cited Papers," IJERPH, MDPI, vol. 18(17), pages 1-19, August.
    6. Sun, Ivan Y. & Longazel, Jamie G., 2008. "College students' alcohol-related problems: A test of competing theories," Journal of Criminal Justice, Elsevier, vol. 36(6), pages 554-562, November.
    7. Beth A. Reboussin & Edward H. Ip & Mark Wolfson, 2008. "Locally dependent latent class models with covariates: an application to under‐age drinking in the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(4), pages 877-897, October.
    8. Cecile A. Marczinski, 2011. "Alcohol Mixed with Energy Drinks: Consumption Patterns and Motivations for Use in U.S. College Students," IJERPH, MDPI, vol. 8(8), pages 1-14, August.
    9. Virginia Adams O’Connell, 2014. "The Healthy College Student," SAGE Open, , vol. 4(3), pages 21582440145, August.
    10. Rudy E. Vuchinich & Cathy A. Simpson, 1998. "Delayed Reward Discounting in Alcohol Abuse," NBER Working Papers 6410, National Bureau of Economic Research, Inc.
    11. Zhuang Hao & Benjamin W. Cowan, 2017. "The Effects of Graduation Requirements on Risky Health Behaviors of High School Students," NBER Working Papers 23803, National Bureau of Economic Research, Inc.
    12. John W. Graham & Melinda M. Roberts & James W. Tatterson & Sara E. Johnston, 2002. "Data Quality in Evaluation of an Alcohol-Related Harm Prevention Program," Evaluation Review, , vol. 26(2), pages 147-189, April.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aph:ajpbhl:1995:85:7:921-926_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://www.apha.org .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.