271
Views
2
CrossRef citations to date
0
Altmetric
Original Article

The effect of personal use and family history on the attitudes of medical students toward alcohol and drug users

Pages 377-389 | Published online: 20 Sep 2010
 

Abstract

Objective: To investigate the effects of the personal exposure/usage of alcohol and drugs in medical students on their attitudes toward alcohol and drug users. Negative attitudes in health care practitioners about alcohol and drug users may lead to poor patient care. Personal experience on alcohol and drug use can influence the attitudes of health care professionals.

Method: This study used a quantitative cross-sectional methodology, utilizing a self-report survey on the personal use of alcohol and drug use, and the family history of alcohol and tobacco use. The “Substance Abuse Attitude Survey” (Chappel J. N., Veach, T. L., & Krug, R. S. (1985). The Substance Abuse Attitude Survey: An instrument for measuring attitudes. Journal of Studies on Alcohol, 46, 48–52.) measured attitudes (n = 417).

Results: The attitudes of medical students towards alcohol and drug users were weakly linked to their own personal use, and family history of alcohol and drug use. Increased use of alcohol was positively correlated with non-stereotyping. Length of time in medical school, number of years drinking alcohol, and high frequency of binge drinking were negatively correlated with non-moralism.

Conclusions: This study demonstrated that the attitudes of future medical professionals are fairly neutral toward alcohol and drug users. Given that alcohol and drug abuse are now considered medical illnesses health professionals themselves may attach fewer stigmas and stereotypes to the use and abuse of alcohol.

Log in via your institution

Log in to Taylor & Francis Online

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 683.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.