Determinants of drug use: A test of the coping hypothesis
Robert D. Crutchfield and
Walter R. Gove
Social Science & Medicine, 1984, vol. 18, issue 6, 503-509
Abstract:
This paper uses a national probability sample to examine major correlates of drug use among American adults. Demographic correlates of alcohol, cigarette, marijuana, tranquilizer, sleeping pill and stimulant use are explained in terms of a self medication or coping perspective of drug use. Two analysis procedures are used. In the first, respondents were asked to list strategies they use when they have problems. These responses are 'broken down' by drug use categories or 'taking pills'. In the second procedure, attempts are made to interpret the correlations between age, sex, marital status, education and drug use by introducing variables which measure how respondents were experiencing fundamental aspects of their lives (role stress items) and mental health variables. A substantial portion of the variance in drug use that is explained by demographic variables appears to operate through social role and mental health variables, that is, these latter variables interpret the demographic/drug use relationships in a way that is consistent with a coping perspective. The authors conclude that these data and this analysis provided cautious support for a coping perspective.
Date: 1984
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/0277-9536(84)90008-X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:socmed:v:18:y:1984:i:6:p:503-509
Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
http://www.elsevier. ... _01_ooc_1&version=01
Access Statistics for this article
Social Science & Medicine is currently edited by Ichiro (I.) Kawachi and S.V. (S.V.) Subramanian
More articles in Social Science & Medicine from Elsevier
Bibliographic data for series maintained by Catherine Liu ().