Cited by 204Substance Abuse Treatment and OutcomesYouth, Drugs, and ViolenceAdolescent Health and Behaviors

Social dimensions of adolescent substance use

Sutherland, I., Shepherd, J. P.·2001·Addiction

Abstract

Objectives. The aim of this study was to explore in detail the relationship between various social aspects of young people's lives and substance use and differences in the degree of influence exerted by the different social factors as a function of age. Design, setting, participants. The study was a survey of pupils aged 11‐16 in a stratified sample of five English schools. Data from 4516 participants were obtained in relation to their cigarette, alcohol and illicit drug use and their contact with the police, perceived academic achievements and future expectations, religious beliefs, family structure, the importance of family versus peer opinions and suspension from school. Measures. Cumulative, age‐specific preferences of substance misuse were compared. Logistic regression was used to rank the various risk factors. Results. Substantial differences were found between substance users and non‐users and the various risk factors being examined. For example, of those who had only been in trouble with the police, 18.8% used illegal drugs compared with 1.6% of those who had not had a police contact and who had no other risk factors. Many of these relationships were age‐sensitive. For instance, the negative relationship between belief in God and illicit drug use became stronger as age increased (non‐believers: y = 8.1886x ‐ 9.16 R2 = 0.9484; believers: y = 5.1514x ‐ 8.08 R2 = 0.9247). These results suggest that, within this sample of English adolescents, there was a strong relationship between substance use and the social factors examined. Although there were differences depending upon whether cigarette, alcohol or illicit drug use was being modelled, logistic regression indicated that the social factors could be ranked in the following order of importance: concurrent use of the second and third substances, having been in trouble with the police, perceived poor academic performance and low future academic expectations, a lack of religious belief, coming from a non‐intact family, favouring peer over family opinion and having been suspended from school. Many of these relationships were age‐sensitive with substance use peaking at age 15. Conclusion. The models and relationships presented in this paper show that a constellation of behaviours are related to adolescent substance use. Also demonstrated is that behaviours cannot be considered in isolation, but need to be examined from an holistic or biopsychosocial standpoint. These relationships are complex and future research should consider not only causality of adolescent substance use, but also of the aetiology of the satellite behaviours.

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Crossref · 10.1046/j.1360-0443.2001.9634458.x

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  • Of the 112 best drug use or abuse studies, 96 (86%) reported inverse relationships and only one study found a positive relationship.

    “Of the 112 best studies, 96 (86%) reported inverse relationships [223–238] and only one study found a positive relationship [239].”

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Authors
Sutherland, I., & Shepherd, J. P.
Affiliations
University of Wales (GB)
Venue
Addiction
Publisher
Wiley
Published
2001-03
Volume
96
Issue
3
Pages
445-458
ISSN
  • 0965-2140 (ISSN-L)
  • 1360-0443
OpenAlex
W2069205542
Cited by
204
References
23
Citations by year
2026: 1 · 2024: 3 · 2023: 48 · 2022: 5 · 2021: 6 · 2020: 3 · 2019: 4 · 2018: 2 · 2017: 5 · 2016: 8 · 2015: 6 · 2014: 8 · 2013: 8 · 2012: 9
FWCI
5.07
Type
journal article
Language
en
Open access
closed
Locations
  • Addiction (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
  • Social Sciences › Demography › Youth, Drugs, and Violence
  • Health Sciences › Health Professions › General Health Professions › Adolescent Health and Behaviors
Keywords
adolescent substance use, social risk factors, cigarette smoking, alcohol consumption, illicit drug use, police encounters, academic performance, religious beliefs, family structure, peer influence, school suspension, age differences, biopsychosocial model, school pupils
MeSH terms
Adolescent, Age Factors, Alcohol Drinking, Child, Crime, Cross-Sectional Studies, Educational Status, England, Family, Female, Humans, Male, Peer Group, Religion, Risk Factors, Self Concept, Smoking, Sociology, Student Dropouts, Reproducibility of Results, Chi-Square Distribution, Logistic Models, Substance-Related Disorders

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