Social Jeopardy of Substance Use among Adolescents: A Review to Recognize the Common Risk and Protective Factors at the Global Level
Abstract
:1. Introduction
2. Methods
3. Results
3.1. Overview of the Selected Articles
3.2. Risk Factors as a Stimulus to Substance Use
3.3. Protective Factors as Resistance to Substance Use
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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References | Year of Publication | Purpose of the Study | Sample Size | Age/Grade of the Participants | Substances | Statistical Techniques Applied |
---|---|---|---|---|---|---|
[15] | 1991 | To examine the social influence process on adolescent substance use | 526 | Seventh graders | Alcohol and cigarette | Hierarchical regression analysis |
[16] | 1992 | To assess the vulnerable and protective factors of substance use | 1289 | 11–13 years | Cigarette, alcohol, and marijuana | Multiple regression |
[17] | 1993 | To investigate the role of parental monitoring and parental alcoholism on adolescent substance use | 454 | 10.5 to 15.5 years | Alcohol and drugs | Structural equation modelling |
[18] | 1994 | To assess the impact of the interpersonal and intrapersonal risk on predicting adolescent substance use | 1170 | Sixth and seventh graders | Tobacco, alcohol, marijuana, and other illicit drug | ANOVA, Pearson correlation, hierarchical regression analysis |
[19] | 1996 | To examine longitudinal adolescence substance use | 763 | 11–15 years | Alcohol, cigarettes, and marijuana | Latent growth models |
[20] | 1997 | To investigate the role of peer pressure on mediating the effect of the differential association of adolescent substance use | 1543 | NA | Alcohol and marijuana | Structural equation modelling |
[21] | 1997 | To investigate the role of social context on adolescent substances use | 664 | 14–17 years | Alcohol, cigarette, and marijuana use, | latent growth curve methodology |
[22] | 1999 | To assess the role of age, social bonding and social learning on adolescent substance use | 3065 | Seventh-twelve grades | marijuana | Correlations, regression |
[23] | 1999 | Identification of individual risk factors that influence initiation and escalation of substance use | NA | NA | NA | NA |
[24] | 1999 | To examine the role of parental, peer, school and neighbourhood contexts in understanding adolescent substances use | 283 | 13–18 years | Cigarettes, alcohol, marijuana and illicit drugs | Hierarchical Regression, correlation, |
[25] | 2000 | To explore the role of peers and parents on adolescent substance use | 443 | Seventh grade | Cigarettes, alcohol and marijuana | Structural equation modelling |
[26] | 2000 | To identify potential protective factors against involvement with additional illicit drugs among adolescence who used marijuana | 9268 | 15–20 years | Marijuana and other illicit drugs | Correlation, exploratory factor analysis, logistic regression |
[9] | 2000 | To examine family-based risk and protective factors on adolescent substance use | 5009 | 12–17 years | Tobacco, alcohol and marijuana | ANOVA, chi-square and t-test |
[27] | 2001 | To investigate the relationship between risky sexual behaviour and adolescent substance use | 166 | 15–21 years | Alcohol and illicit drugs | Chi-square test of association, ANOVA, MANOVA group variability test and regression analysis |
[28] | 2001 | To investigate the moderation effects in the relation of family risk factors on adolescent substance use | 1810 | 11–14 years | tobacco, alcohol, and marijuana | Correlations, Latent growth model |
[29] | 2001 | To explore the association between various societal issues during adolescence and their substance use | 4516 | 11–16 years | Cigarette, alcohol and illicit drug | Logistic regression |
[30] | 2002 | To investigate the relationship between family structure, family functioning with adolescent substance use | 3984 | 14–15 years | Alcohol and illicit drug | Chi-square, logistic regression |
[31] | 2002 | To study the interventions effect as preventive to early substance use | 672 | Sixth-ninth grade | Tobacco and alcohol | Logistic regression |
[32] | 2003 | To examine the link between academic experiences, attitudes and perceptions with adolescent substance use | 1897 | 14–20 years | Alcohol, cigarettes, and marijuana | Hierarchical linear modelling |
[33] | 2003 | To examine if urban adolescents are more likely than suburban or rural youth to engage in risky behaviours. | 15,349 | Ninth-twelve grade | Alcohol and other illicit drug | Chi-square and logistic regression |
[34] | 2003 | To compare the prevalence of adolescence substance use from Australian and U.S. surveys | 1192, 12,654 and 4538 | 14–17 years | Alcohol, cigarettes and marijuana | Prevalence estimates through summary statistics |
[35] | 2004 | To examine the effects of peer and parent support on adolescent substance use | 1826 | Seventh-ninth graders | Cigarette, alcohol, and marijuana | Structural equation modelling, correlation |
[36] | 2005 | To investigates the association between family structure and moderating effects of peers on adolescent substance use | 54,238 | Middle and high school students | Tobacco, alcohol, marijuana, and other illicit drug | Scheffe’s Test, Logistic regression |
[37] | 2006 | To investigate the existence and severity of peer influences in adolescent substance use | 3027 | 12–18 years | Alcohol, smoking and illicit drug use | Regression, F-test |
[38] | 2007 | To identify risk and protective factors for adolescent substance use | 17,215 | 12–20 years | Alcohol, marijuana, tobacco and five other drugs | Logistic regressions, hierarchical linear regression |
[39] | 2007 | To investigates the impact of an after-school programme in urban areas in preventing adolescent substance use. | 304 | High school youth | Alcohol, cigarettes and marijuana | Hierarchical linear modelling |
[40] | 2009 | To explore the role of TV viewing during family meals on adolescent substance use | 806 | NA | Cigarettes, alcohol and marijuana | General linear modelling |
[41] | 2009 | To examine socio-economic differences on adolescent substance, use and the mediating role of parents’ knowledge and peer substances use | 8795 | Sixth-tenth grade | Alcohol, cigarettes and marijuana | Multiple indicators, multiple cause model, structural equation modelling |
[42] | 2009 | To investigate the role of cumulative and moderating effects of neighbourhood context on adolescence substance use | 2006 | NA | Alcohol and marijuana | Hierarchical linear modelling |
[43] | 2009 | To investigate the family and school-level factors of adolescent substance use | 48,641 | Sixth–twelve grades | Alcohol, cigarettes and marijuana | Hierarchical logistic regression |
[44] | 2010 | To examine relationships between conduct problems and close friends’ substance use, with adolescents’ substance use | 1237 | 11–18 years | Alcohol, tobacco and marijuana | Logistic regression |
[45] | 2010 | To compare the impact of parental and peer pressure on adolescent substance use | 3188 | Junior high school students | Alcohol and tobacco | Binomial regression, |
[46] | 2010 | To assess the protective factors of adolescent substance use | 881 | 14–20 years | Alcohol, cigarettes and marijuana | Multiple regression, Chi-square tests |
[47] | 2010 | To study the differences in adolescent substance use by race and ethnicity | 5500 | Seventh and eighth graders | Alcohol, cigarettes and marijuana | Generalised estimating equations, path analysis models |
[48] | 2011 | To investigate the key role of the selection of new friends on adolescent substance use | 151 | Eight-ninth graders | Alcohol, cigarettes and marijuana | Cross-lag panel analysis |
[49] | 2011 | To examine the influence of friends and parents on adolescent substance use | 166 | Tenth grade | Alcohol, tobacco and marijuana and other illicit drugs | Correlations, regression |
[50] | 2011 | To investigate the risk and protective factor and their influence on adolescents’ substance use | 3876 | Seventh-ninth grades | Alcohol, tobacco, and cannabis | Independent t-tests, logistic regression |
[51] | 2012 | To examine religiosity and its association with adolescent substance use | 67,870 | 12–17 years | Tobacco, alcohol, prescription drug, marijuana, and other illicit drugs | Logistic regression |
[52] | 2012 | To investigate social and geographic factors of adolescent substance use | 254 | 13–20 years | Alcohol and drug | Regression |
[53] | 2013 | To examine the relationship between peer perception of substances use and adolescents’ substance use | 17,865 | 12–17 years | Alcohol, cigarettes and marijuana | Pearson product-moment correlation, Logistic regression |
[54] | 2013 | To test differential effects of parental controls on adolescent substance use | 7349 | Tenth grade students | Tobacco, cigarettes, alcohol, inhalants, and marijuana | Regression mixture models |
[55] | 2014 | This study examines the role of different parenting styles as a protective factor against substance use | 7718 | 11–19 years | Alcohol, cigarettes, marijuana, and other illegal drugs | F tests, Multifactorial MANOVA |
[56] | 2014 | To examine social norms and their association with substance use | 2248 | Fifth-ninth grade | Alcohol, tobacco and marijuana | Multilevel logistic regression, Correlations and t-tests |
[57] | 2015 | To investigate the relationship between adolescence out of school time and substance use | 766 | 15 years and end of high School | Marijuana, alcohol, and Cigarettes | Correlation, binary and multinomial logistic regression |
[58] | 2016 | To examine the impact of parenting style on adolescent substance use | 1268 | 12–13 years | Cigarette, alcohol and illicit drugs | Principal component analysis, logistic regression |
[59] | 2017 | To identify risk and protective factors of adolescent substance use | 600 | 10–19 years | Alcohol, tobacco, cannabis and illicit drugs | Binary logistic regression |
[60] | 2018 | To test the impact of family, peer and school relationships on substance use | 9055 | 11–16 years | Tobacco, cannabis and alcohol | Multilevel logistic regression |
[61] | 2018 | To explore the family management risk and protective factors on substance use | 54 | 14–20 years | Alcohol and other illicit drugs | Ordinal logistic regressions |
[62] | 2020 | To assess the relationship between multidimensional self-esteem and personal indicator with substance use | 644 | 12–17 years | Cigarettes, alcohol, marijuana, and other illicit drugs | Confirmatory factor analysis, MANOVA, ANCOVA, ANOVA |
[63] | 2021 | To investigate the impact of the COVID-19 pandemic on mental health and substance use | 59,701 | 13–18 | Alcohol Cigarette and e-cigarette | Linear mixed-effects, logistic mixed-effects |
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Das, P.; Das, T.; Roy, T.B. Social Jeopardy of Substance Use among Adolescents: A Review to Recognize the Common Risk and Protective Factors at the Global Level. Psychoactives 2023, 2, 113-132. https://doi.org/10.3390/psychoactives2020008
Das P, Das T, Roy TB. Social Jeopardy of Substance Use among Adolescents: A Review to Recognize the Common Risk and Protective Factors at the Global Level. Psychoactives. 2023; 2(2):113-132. https://doi.org/10.3390/psychoactives2020008
Chicago/Turabian StyleDas, Partha, Tanu Das, and Tamal Basu Roy. 2023. "Social Jeopardy of Substance Use among Adolescents: A Review to Recognize the Common Risk and Protective Factors at the Global Level" Psychoactives 2, no. 2: 113-132. https://doi.org/10.3390/psychoactives2020008