Abstract
Abstract.Aim: To summarize published findings in peer-reviewed journals of the first two waves of the Swiss Cohort Study on Substance Use Risk Factors (C-SURF), a longitudinal study assessing risk and protective factors of 5,987 young men during the phase of emerging adulthood (20 years at baseline, followed-up 15 months later). Methods: Included were 33 studies published until November 2014 focusing on substance use. Results: Substance use in early adulthood is a prevalent and stable behavior. The 12-month prevalence of nonmedical use of prescription drugs (10.6 %) lies between that of cannabis (36.4 %) and other illicit drugs such as ecstasy (3.7 %) and cocaine (3.2 %). Although peer pressure in the form of misconduct is associated with increased substance use, other aspects such as peer involvement in social activities may have beneficial effects. Regular sport activities are associated with reduced substance use, with the exception of alcohol use. Young men are susceptible to structural conditions such as the price of alcohol beverages or the density of on-premise alcohol outlets. Particularly alcohol use in public settings such as bars, discos or in parks (compared with private settings such as the home) is associated with alcohol-related harm, including injuries or violence. Being a single parent versus nuclear family has no effect on alcohol use, but active parenting does. Besides parenting, religiousness is an important protective factor for both legal and illegal substance use. Merely informing young men about the risks of substance use may not be an effective preventive measure. At-risk users of licit and illicit substances are more health literate, e. g., for example, they seek out more information on the internet than non-at-risk-users or abstainers. Discussion: There are a number of risk and protective substance use factors, but their associations with substance use do not necessarily agree with those found outside Europe. In the United States, for example, heavy alcohol use in this age group commonly takes place in private settings, whereas in Switzerland it more often takes place in public settings. Other behaviors, such as the nonmedical use of prescription drugs, appear to be similar to those found overseas, which may show the need for targeted preventive actions. C-SURF findings point to the necessity of establishing European studies to identify factors for designing specific preventive actions.
References
2011). Mortality among individuals with cannabis, cocaine, amphetamine, MDMA, and opioid use disorders: a nationwide follow-up study of Danish substance users in treatment. Drug and Alcohol Dependence, 114(2 – 3), 134 – 139.
(2014). Regional abundance of on-premise outlets and drinking patterns among Swiss young men: district level analyses and geographic adjustments. Drug and Alcohol Review, 33(5), 526 – 533.
(2003). Alcohol: no ordinary commodity—a consumer’s guide to public policy. Oxford: Oxford University Press.
(2014). Routes of administration of cannabis used for nonmedical purposes and associations with patterns of drug use. Journal of Adolescent Health, 54(2), 235 – 240.
(2014). Concurrent versus simultaneous use of alcohol and non-medical use of prescription drugs: is simultaneous use worse for mental, social, and health issues? Journal of Psychoactive Drugs, 46(4), 334 – 339.
(2014). Cannabis use and other illicit drug use: do subjective experiences during first cannabis use increase the probability of illicit drug use? Journal of Substance Use. Advance online publication, Mar 11.
(2014). Patterns of cannabis use and prospective associations with health issues among young males. Addiction, 109(6), 937 – 945.
(2013). Adaptation en français et en allemand d’une échelle de pression des pairs pour jeunes adultes : le Peer Pressure Inventory [Adaptation of a peer pressure scale in French and German: the Peer Pressure Inventory]. Revue d’Épidémiologie et de Santé Publique, 61(3), 241 – 252.
(2013). Factor structure of early smoking experiences and associations with smoking behavior: valence or sensitivity model? International Journal of Environmental Research and Public Health, 10(12), 6305 – 6318.
(2014). The relationship between subjective experiences during first use of tobacco and cannabis and the effect of the substance experienced first. Nicotine & Tobacco Research, 16(1), 84 – 92.
(2014). Simultaneous use of alcohol, tobacco and cannabis in relation to severity of substance dependence: a study among young Swiss men. Journal of Addiction Research and Therapy, S10:002.
(2013). Profiles of drug users in Switzerland and effects of early-onset intensive use of alcohol, tobacco and cannabis on other illicit drug use. Swiss Medical Weekly, 143, w13805.
(2014). Non-medical prescription drug and illicit street drug use among young Swiss men and associated mental health issues. International Journal of Adolescent Medicine and Health, 26(4), 525 – 530.
(2014). Patterns and transitions in substance use among young Swiss men: A latent transition analysis approach. Journal of Drug Issues, 44(4), 381 – 393.
(2014). Does drinking location matter? Profiles of risky single-occasion drinking by location and alcohol-related harm among young men. Frontiers in Public Health, 2, 64.
(1990).
(Impact of the family on adolescent drinking patterns . In R. L. CollinsK. E. LeonardJ. S. SearlesEds., Alcohol and the family: Research and clinical perspectives (pp. 137 – 161). New York: Guilford Press.2009). Transitions from first substance use to substance use disorders in adolescence: Is early onset associated with a rapid escalation? Drug and Alcohol Dependence, 99(1 – 3), 68 – 78.
(2005). Reduction of alcohol consumption by brief alcohol intervention in primary care: systematic review and meta-analysis. Archives of Internal Medicine, 165(9), 986 – 995.
(2013). Perception of tobacco, cannabis, and alcohol use of others is associated with one’s own use. Addiction Science & Clinical Practice, 8 (1), 15.
(2015). The alcohol purchase task in young men from the general population. Drug and Alcohol Dependence, 146, 39 – 44.
(2013). Lifecourse SEP and tobacco and cannabis use. European Journal of Public Health, 23(2), 322 – 327.
(1986). Perceptions of peer pressure, peer conformity dispositions, and self-reported behavior among adolescents. Developmental Psychology, 22(4), 521 – 530.
(2012). Misuse of medicines in the European Union: A systematic review of the literature. European Addiction Research, 18(5), 228 – 245.
(2012). Developmental trajectories of substance use from early adolescence to young adulthood: gender and racial/ethnic differences. Journal of Adolescent Health, 50(2), 154 – 163.
(2013). Effectiveness of a selective, personality-targeted prevention program for adolescent alcohol use and misuse: A cluster randomized controlled trial. JAMA Psychiatry, 70(3), 334 – 342.
(2012). The effect of alcohol availability on marijuana use: Evidence from the minimum legal drinking age. Journal of Health Economics, 31(1), 112 – 121.
(2013). The persistence of the association between adolescent cannabis use and common mental disorders into young adulthood. Addiction, 108(1), 124 – 133.
(2003). The validity of self-reports of alcohol consumption: state of the science and challenges for research. Addiction, 98(s2), 1 – 12.
(2014). Use of neuroenhancement drugs: prevalence, frequency and use expectations in Switzerland. International Journal of Environmental Research and Public Health, 11(3), 3032 – 3045.
(2013). Health literacy and substance use in young Swiss men. International Journal of Public Health, 58(6), 939 – 948.
(2014). Beverage preferences and associated drinking patterns, consequences and other substance use behaviours. European Journal of Public Health, 24(3), 496 – 501.
(2013). Use of electronic cigarettes among young Swiss men. Journal of Epidemiology and Community Health, 67(12), 1075 – 1076.
(2014). Risky single occasion drinking frequency and alcohol-related consequences: can abstinence during early adulthood lead to alcohol problems? Swiss Medical Weekly, 144, w14017.
(2014). Prevalence and factors associated with use of smokeless tobacco in young Swiss men. European Journal of Public Health, 24(3), 459 – 464.
(2014). Influence of counselor characteristics and behaviors on the efficacy of a brief motivational intervention for heavy drinking in young men-a randomized controlled trial. Alcohol, Clinical and Experimental Research, 38(7), 2138 – 2147.
(2009). Psychometric properties of the IPAQ: a validation study in a sample of northern Franco-Ontarians. Journal of Physical Activity and Health, 6(Suppl 1), S54-S60.
(2013). Religion is good, belief is better: religion, religiosity, and substance use among young Swiss men. Substance Use and Misuse, 48(12), 1085 – 1098.
(2004). Panic attacks and psychoticism. American Journal of Psychiatry, 161(1), 88 – 92.
(2003). Alcohol involvement and developmental task completion during young adulthood. Journal of Studies on Alcohol, 64(1), 32 – 42.
(2005). Training bar staff in preventing and managing aggression in licensed premises. Journal of Substance Use, 10(1), 48 – 61.
(2014). Predictors of onset of cannabis and other drug use in male young adults: results from a longitudinal study. BMC Public Health, 14, 1202.
(2011). Associations between substance use disorder sub-groups, life expectancy and all-cause mortality in a large British specialist mental healthcare service. Drug and Alcohol Dependence, 118(1), 56 – 61.
(2014). Health impact of sport and exercise in emerging adult men: a prospective study. Quality of Life Research, 23(8), 2225 – 2234.
(2014). Associations of physical activity and sport and exercise with at-risk substance use in young men: a longitudinal study. Preventive Medicine, 64, 27 – 31.
(2014). Associations of age at cannabis first use and later substance abuse with mental health and depression in young men. Journal of Substance Use. Advance online publication, Oct 7.
(2015). Video gaming disorder and sport and exercise in emerging adulthood: A longitudinal study. Behavioral Medicine. Advance online publication, Jan 29.
(2011). Incidence of psychopathology in a cohort of young heroin and/or cocaine users. Journal of Substance Abuse Treatment, 41(1), 55 – 63.
(2011). The Child Behavior Checklist-Dysregulation Profile predicts substance use, suicidality, and functional impairment: a longitudinal analysis. Journal of Child Psychology and Psychiatry, 52(2), 139 – 147.
(1977). Problem behavior and psychosocial development: a longitudinal study of youth. (Vol. xv). New York: New York Academic Press.
(1995). Physical health problems associated with adolescent substance abuse. NIDA Research Monograph, 156, 112 – 129.
(2013). Alcohol consumption in late adolescence and early adulthood–where is the problem? Swiss Medical Weekly, 143, w13826.
(2009). Development and validation of the Drinking Motive Questionnaire Revised Short Form (DMQ-R SF). Journal of Clinical Child Adolescent Psychologoy, 38(6), 899 – 908.
(2014). Sport participation and alcohol and illicit drug use in adolescents and young adults: A systematic review of longitudinal studies. Addictive Behaviors, 39(3), 497 – 506.
(2011). The effect of peer influence and selection processes on adolescent alcohol use: a systematic review of longitudinal studies. Health Psychology Review, 8(4), 426 – 457.
(2014). Adolescent Alcohol Use: Risks and Consequences. Alcohol and Alcoholism, 49(2), 160 – 164.
(2011). Adult consequences of late adolescent alcohol consumption: A systematic review of cohort studies. PLoS Medicine, 8(2), e1000413.
(1988). Validity of Self-reported Alcohol Use: a literature review and assessment. British Journal of Addiction, 83(9), 1019 – 1029.
(2006). Relative reinforcing efficacy of alcohol among college student drinkers. Experimental and Clinical Psychopharmacology, 14(2), 219 – 227.
(2015). Association between non-medical prescription drug use and personality traits among young Swiss men. Psychiatry and Clinical Neurosciences, 69(4), 228 – 237.
(2014). Association between nonmedical prescription drug use and health status among young Swiss men. Journal of Adolescent Health, 55(4), 549 – 555.
(2011). Causes of premature mortality in Swedish drug abusers: A prospective longitudinal study 1970 – 2006. Journal of Forensic and Legal Medicine, 18(2), 66 – 72.
(2002). Surveying the damage: a review of research on consequences of alcohol misuse in college populations. Journal of Studies on Alcohol, Supplement(14), 91 – 100.
(2014). Legal substance use and the development of a DSM-IV cannabis use disorder during adolescence: the TRAILS study. Addiction, 109(2), 303 – 311.
(2013). Differential changes in impulsivity and sensation seeking and the escalation of substance use from adolescence to early adulthood. Development and Psychopathology, 25(1), 223 – 239.
(2013). The relationship between multiple sex partners and anxiety, depression, and substance dependence disorders: A cohort study. Archives of Sexual Behavior, 42(5), 863 – 872.
(2004).
(Alcohol Use . In M. EzzatiA. D. LopezA. RodgersC. J. L. MurrayEds., Comparative quantification of health risks: Global and regional burden of disease attributable to selected major risk factors (Vol. 1, pp. 959 – 1108). Geneva: World Health Organization (WHO).2006). Global burden of disease from alcohol, illicit drugs and tobacco. Drug and Alcohol Review, 25(6), 503 – 513.
(2012). Alcohol, mortality and cardiovascular events in a 35 year follow-up of a nationwide representative cohort of 50,000 Swedish conscripts up to age 55. Alcohol and Alcoholism, 47(3), 322 – 327.
(2012). Linking substance use with symptoms of subclinical psychosis in a community cohort over 30 years. Addiction, 107(6), 1174 – 1184.
(2013). Early onset of drinking and risk of heavy drinking in young adulthood—A 13-year prospective study. Alcoholism: Clinical and Experimental Research, 37(S1), E297-E304.
(2010). Parenting factors associated with reduced adolescent alcohol use: A systematic review of longitudinal studies. Australian and New Zealand Journal of Psychiatry, 44(9), 774 – 783.
(2002). A developmental perspective on alcohol use and heavy drinking during adolescence and the transition to young adulthood. Journal of Studies on Alcohol, Supplement(14), 54 – 70.
(2014). Excessive alcohol consumption in young men: is there an association with their earlier family situation? A baseline-analysis of the C-SURF-study (Cohort Study on Substance Use Risk Factors). Swiss Medical Weekly, 144, w14007.
(2012). Review of risk and protective factors of substance use and problem use in emerging adulthood. Addictive Behaviors, 37(7), 747 – 775.
(2015). Drinking locations and alcohol-related harm: Cross-sectional and longitudinal associations in a sample of young Swiss men. International Journal on Drug Policy, 26, 653 – 661.
(2014b). Peer pressure and alcohol use in young men: a mediation analysis of drinking motives. International Journal on Drug Policy, 25(4), 700 – 708.
(2014). Differential association between drinking motives and alcohol use at weekends and workdays. Psychology of Addictive Behaviors, 28(3), 651 – 658.
(2013). Examining non-response bias in substance use research – are late respondents proxies for non-respondents? Drug and Alcohol Dependence, 132(1 – 2), 316 – 323.
(2013). Need for informed consent in substance use studies – harm of bias? Journal of Studies on Alcohol and Drugs, 74(6), 931 – 940.
(2014). Adult health outcomes of childhood bullying victimization: Evidence from a five-decade longitudinal british birth cohort. American Journal of Psychiatry, 171(7), 777 – 784.
(2003). Neurobehavioral disinhibition in childhood predicts early age at onset of substance use disorder. American Journal of Psychiatry, 160(6), 1078 – 1085.
(2011). Substance use and exercise participation among young adults: parallel trajectories in a national cohort-sequential study. Addiction, 106(10), 1855 – 1865.
(2007). Interventions to reduce harm associated with adolescent substance use. The Lancet, 369(9570), 1391 – 1401.
(2007). Adult outcomes of binge drinking in adolescence: findings from a UK national birth cohort. Journal of Epidemiology and Community Health, 61(10), 902 – 907.
(2011). Socio-economic differences in long-term psychiatric work disability: prospective cohort study of onset, recovery and recurrence. Occupational and Environmental Medicine, 68(11), 791 – 798.
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