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Gepubliceerd in: Journal of Youth and Adolescence 2/2012

01-02-2012 | Empirical Research

Student Drug Testing in the Context of Positive and Negative School Climates: Results from a National Survey

Auteurs: Sharon R. Sznitman, Sally M. Dunlop, Priya Nalkur, Atika Khurana, Daniel Romer

Gepubliceerd in: Journal of Youth and Adolescence | Uitgave 2/2012

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Abstract

Positive school climates and student drug testing have been separately proposed as strategies to reduce student substance use in high schools. However, the effects of drug testing programs may depend on the favorability of school climates. This study examined the association between school drug testing programs and student substance use in schools with different climates. The analysis was based on a nationally representative sample of 943 high school students (48% female) ranging from 14 to 19 years of age (62% identifying as white, 18% Hispanic, 13% African American, and 7% in other categories). Results showed that both male and female students in schools with positive climates reported lower levels of personal substance use. Drug testing was associated with lower levels of personal substance use in positive school climates, but only for female students. There was no relationship between drug testing and male students’ substance use. The results are discussed in terms of the importance of considering school climates before implementing drug-testing programs in high schools.
Literatuur
go back to reference American Academy of Pediatrics, & Committee on Substance Abuse and Council on School Health. (2007). Testing for drugs of abuse in children and adolescents: Addendum-testing in schools and at home. Pediatrics, 119(3), 627–630.CrossRef American Academy of Pediatrics, & Committee on Substance Abuse and Council on School Health. (2007). Testing for drugs of abuse in children and adolescents: Addendum-testing in schools and at home. Pediatrics, 119(3), 627–630.CrossRef
go back to reference Bachman, J. G., O’Malley, P. M., Schulenberg, J. E., Johnston, L. D., Freedman-Doan, P., & Messersmith, E. E. (2008). The education-drug use connection: How successes and failures in school relate to adolescent smoking, drinking, drug use, and delinquency. New York: Lawrence Erlbaum Associates/Taylor & Francis. Bachman, J. G., O’Malley, P. M., Schulenberg, J. E., Johnston, L. D., Freedman-Doan, P., & Messersmith, E. E. (2008). The education-drug use connection: How successes and failures in school relate to adolescent smoking, drinking, drug use, and delinquency. New York: Lawrence Erlbaum Associates/Taylor & Francis.
go back to reference Bond, L., Patton, G., Glover, S., Carlin, J. B., Butler, H., Lyndal, T., et al. (2004). The Gatehouse project: Can a multilevel school intervention affect emotional wellbeing and health risk behavior? Journal of Epidemiology and Community Health, 58, 997–1003.PubMedCrossRef Bond, L., Patton, G., Glover, S., Carlin, J. B., Butler, H., Lyndal, T., et al. (2004). The Gatehouse project: Can a multilevel school intervention affect emotional wellbeing and health risk behavior? Journal of Epidemiology and Community Health, 58, 997–1003.PubMedCrossRef
go back to reference Booth, J. A., Farrell, A., & Varano, S. P. (2008). Social control, serious delinquency, and risky behavior. Crime & Delinquency, 54(3), 423–456.CrossRef Booth, J. A., Farrell, A., & Varano, S. P. (2008). Social control, serious delinquency, and risky behavior. Crime & Delinquency, 54(3), 423–456.CrossRef
go back to reference Catalano, R. F., Haggerty, K. P., Oesterle, S., Fleming, C. B., & Hawkins, J. D. (2004). The importance of bonding to school for healthy development: Findings from the social development research group. Journal of School Health, 74(7), 252–261.PubMedCrossRef Catalano, R. F., Haggerty, K. P., Oesterle, S., Fleming, C. B., & Hawkins, J. D. (2004). The importance of bonding to school for healthy development: Findings from the social development research group. Journal of School Health, 74(7), 252–261.PubMedCrossRef
go back to reference CDC. (2003). Public health surveillance for behavioral risk factors in a changing environment. MMWR, 52(RR-9), 1–12. CDC. (2003). Public health surveillance for behavioral risk factors in a changing environment. MMWR, 52(RR-9), 1–12.
go back to reference Faggiano, F., Vigna-Taglianti, F. D., Versino, E., Zambon, A., Borraccino, A., & Lemma, P. (2005). School-based prevention for illicit drugs use. Cochrane Database of Systematic Reviews, 2(CD003020). Faggiano, F., Vigna-Taglianti, F. D., Versino, E., Zambon, A., Borraccino, A., & Lemma, P. (2005). School-based prevention for illicit drugs use. Cochrane Database of Systematic Reviews, 2(CD003020).
go back to reference Flay, B. R., Graumlich, S., Segawa, E., Burns, J. L., & Hiolliday, M. Y. (2004). Effects of 2 prevention programs on high-risk behaviors among African American youth. Archives of Pediatrics and Adolescent Medicine, 158, 377–384.PubMedCrossRef Flay, B. R., Graumlich, S., Segawa, E., Burns, J. L., & Hiolliday, M. Y. (2004). Effects of 2 prevention programs on high-risk behaviors among African American youth. Archives of Pediatrics and Adolescent Medicine, 158, 377–384.PubMedCrossRef
go back to reference Foxcroft, D. R., Ireland, D., Lister-Sharp, D. J., Lowe, G., & Breen, R. (2005). Longer-term prevention for alcohol misuse in young people: Cochrane systematic review. International Journal of Epidemiology, 34(4), 758–759.CrossRef Foxcroft, D. R., Ireland, D., Lister-Sharp, D. J., Lowe, G., & Breen, R. (2005). Longer-term prevention for alcohol misuse in young people: Cochrane systematic review. International Journal of Epidemiology, 34(4), 758–759.CrossRef
go back to reference Gilligan, C. (1982). In a different voice: Psychological theory and women’s development. Cambridge, MA: Harvard University Press. Gilligan, C. (1982). In a different voice: Psychological theory and women’s development. Cambridge, MA: Harvard University Press.
go back to reference Giordono, P., & Cernkovich, S. (1997). Gender and antisocial behavior. In D. M. Stoff, J. Breiling, & J. Maser (Eds.), The handbook of antisocial behavior (pp. 496–510). New York: Wiley. Giordono, P., & Cernkovich, S. (1997). Gender and antisocial behavior. In D. M. Stoff, J. Breiling, & J. Maser (Eds.), The handbook of antisocial behavior (pp. 496–510). New York: Wiley.
go back to reference Goldberg, L., Elliot, D. L., MacKinnon, D. P., Moe, E. L., Kuehl, K. S., Yoon, M., et al. (2007). Outcomes of a prospective trial of student-athlete drug testing: The student athlete testing using random notification (SATURN) study. Journal of Adolescent Health, 41(5), 421–429.PubMedCrossRef Goldberg, L., Elliot, D. L., MacKinnon, D. P., Moe, E. L., Kuehl, K. S., Yoon, M., et al. (2007). Outcomes of a prospective trial of student-athlete drug testing: The student athlete testing using random notification (SATURN) study. Journal of Adolescent Health, 41(5), 421–429.PubMedCrossRef
go back to reference Goldberg, L., Elliot, D. L., MacKinnon, D., Moe, E. K., Nohre, L., & Lockwood, C. M. (2003). Drug testing to prevent substance abuse: Background and pilot study results of SATURN student athlete testing using random notification) study. Journal of Adolescent Health, 32(1), 16–25.PubMedCrossRef Goldberg, L., Elliot, D. L., MacKinnon, D., Moe, E. K., Nohre, L., & Lockwood, C. M. (2003). Drug testing to prevent substance abuse: Background and pilot study results of SATURN student athlete testing using random notification) study. Journal of Adolescent Health, 32(1), 16–25.PubMedCrossRef
go back to reference Gottfredson, D. C., & Wilson, D. B. (2003). Characteristics of effective school-based substance abuse prevention. Prevention Science, 4(1), 23–28.CrossRef Gottfredson, D. C., & Wilson, D. B. (2003). Characteristics of effective school-based substance abuse prevention. Prevention Science, 4(1), 23–28.CrossRef
go back to reference Hansen, W., & Dusenbury, L. (2004). Alcohol use and misuse: Prevention strategies with minors. Washington, DC: The National Academies Press. Hansen, W., & Dusenbury, L. (2004). Alcohol use and misuse: Prevention strategies with minors. Washington, DC: The National Academies Press.
go back to reference Harrison, L. D., Martin, S. S., Enev, T., & Harrington, D. (2007). Comparing drug testing and self-report of drug use among youths and young adults in the general population. Rockville, MD: Substance Use and Mental Health Service Administration, Office of Applied Studies. Harrison, L. D., Martin, S. S., Enev, T., & Harrington, D. (2007). Comparing drug testing and self-report of drug use among youths and young adults in the general population. Rockville, MD: Substance Use and Mental Health Service Administration, Office of Applied Studies.
go back to reference Henry, L. H., & Slater, M. D. (2007). The contextual effect of school attachment on young adolescents’ alcohol use. Journal of School Health, 77(2), 67–74.PubMedCrossRef Henry, L. H., & Slater, M. D. (2007). The contextual effect of school attachment on young adolescents’ alcohol use. Journal of School Health, 77(2), 67–74.PubMedCrossRef
go back to reference Hingson, R., & Kenkel, D. (2004). Social, health, and economic consequences of underage drinking. Washington, DC: The National Academies Press. Hingson, R., & Kenkel, D. (2004). Social, health, and economic consequences of underage drinking. Washington, DC: The National Academies Press.
go back to reference Jessor, R., Donovan, J. E., & Costa, F. M. (1991). Beyond adolescence: Problem behaviour and young adult development. Cambridge: Cambridge University Press. Jessor, R., Donovan, J. E., & Costa, F. M. (1991). Beyond adolescence: Problem behaviour and young adult development. Cambridge: Cambridge University Press.
go back to reference Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2008). Monitoring the future national survey results on drug use, 1975–2007 (Vol. I): Secondary school students. Bethesda, MD: National Institute on Drug Abuse. Johnston, L. D., O’Malley, P. M., Bachman, J. G., & Schulenberg, J. E. (2008). Monitoring the future national survey results on drug use, 1975–2007 (Vol. I): Secondary school students. Bethesda, MD: National Institute on Drug Abuse.
go back to reference LaRusso, M. D., Romer, D., & Selman, R. L. (2008). Teachers as builders of respectful school climates: Implications for adolescent drug use norms and depressive symptoms in high school. Journal of Youth Adolescent, 37(4), 386–398.CrossRef LaRusso, M. D., Romer, D., & Selman, R. L. (2008). Teachers as builders of respectful school climates: Implications for adolescent drug use norms and depressive symptoms in high school. Journal of Youth Adolescent, 37(4), 386–398.CrossRef
go back to reference LaRusso, M. D., & Selman, R. L. (2003). The influence of development and school atmosphere on adolescents’ perceptions of risk and prevention: Cynicism and skepticism. In D. Romer (Ed.), Reducing adolescent risk: Toward an integrated strategy (pp. 113–122). Thousand Oaks: Sage Publications. LaRusso, M. D., & Selman, R. L. (2003). The influence of development and school atmosphere on adolescents’ perceptions of risk and prevention: Cynicism and skepticism. In D. Romer (Ed.), Reducing adolescent risk: Toward an integrated strategy (pp. 113–122). Thousand Oaks: Sage Publications.
go back to reference Libbey, H. (2004). Measuring student relationship to school: Attachment, bonding, connectedness, and engagement. Journal of School Health, 74(7), 274–283.PubMedCrossRef Libbey, H. (2004). Measuring student relationship to school: Attachment, bonding, connectedness, and engagement. Journal of School Health, 74(7), 274–283.PubMedCrossRef
go back to reference McNeely, C., & Falci, C. (2004). School connectedness and the transition into and out of health-risk behavior among adolescents: A comparison of social belonging and teacher support. Journal of School Health, 74(7), 283–284.CrossRef McNeely, C., & Falci, C. (2004). School connectedness and the transition into and out of health-risk behavior among adolescents: A comparison of social belonging and teacher support. Journal of School Health, 74(7), 283–284.CrossRef
go back to reference Mears, D. P., Ploeger, M., & Warr, M. (1998). Explaining the gender gap in delinquency: Peer influence and moral evaluations of behavior. Journal of Research in Crime and Delinquency, 35(3), 251–266.CrossRef Mears, D. P., Ploeger, M., & Warr, M. (1998). Explaining the gender gap in delinquency: Peer influence and moral evaluations of behavior. Journal of Research in Crime and Delinquency, 35(3), 251–266.CrossRef
go back to reference Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184.CrossRef Raykov, T. (1997). Estimation of composite reliability for congeneric measures. Applied Psychological Measurement, 21(2), 173–184.CrossRef
go back to reference Roeser, R. W., Eccles, J. S., & Sameroff, A. J. (2000). School as a context of early adolescents’ academic and social-emotional development: A summary of research findings. The Elementary School Journal, 100(5), 443–463.CrossRef Roeser, R. W., Eccles, J. S., & Sameroff, A. J. (2000). School as a context of early adolescents’ academic and social-emotional development: A summary of research findings. The Elementary School Journal, 100(5), 443–463.CrossRef
go back to reference Simons-Morton, B., Crump, A., Haynie, D., & Saylor, K. (1999). Student-school bonding and adolescent problem behavior. Health Education Research, 14(1), 99.PubMedCrossRef Simons-Morton, B., Crump, A., Haynie, D., & Saylor, K. (1999). Student-school bonding and adolescent problem behavior. Health Education Research, 14(1), 99.PubMedCrossRef
go back to reference Svensson, R. (2003). Gender differences in adolescent drug use, the impact of parental monitoring and peer deviance. Youth Society, 34(3), 300–329.CrossRef Svensson, R. (2003). Gender differences in adolescent drug use, the impact of parental monitoring and peer deviance. Youth Society, 34(3), 300–329.CrossRef
go back to reference Thomas, R., & Perera, R. (2006). School-based programmes for preventing smoking. Cochrane Database of Systematic Reviews 3(CD001293). Thomas, R., & Perera, R. (2006). School-based programmes for preventing smoking. Cochrane Database of Systematic Reviews 3(CD001293).
go back to reference United States Supreme Court. (1995). Vernonia school district no. 47 vs. Action. United States Supreme Court. (1995). Vernonia school district no. 47 vs. Action.
go back to reference United States Supreme Court. (2002). Board of education of independent school district no. 92 of Pottawatomie County vs. Earls. United States Supreme Court. (2002). Board of education of independent school district no. 92 of Pottawatomie County vs. Earls.
go back to reference Weishew, N. L., & Peng, S. S. (1993). Variables predicting students’ problem behavior. Journal of Education Research, 87(1), 5–17.CrossRef Weishew, N. L., & Peng, S. S. (1993). Variables predicting students’ problem behavior. Journal of Education Research, 87(1), 5–17.CrossRef
go back to reference West, P., Sweeting, H., & Leyland, A. (2004). School effects on pupils’ health behaviours: Evidence in support of the health promoting school. Research Papers in Education, 19, 261–291.CrossRef West, P., Sweeting, H., & Leyland, A. (2004). School effects on pupils’ health behaviours: Evidence in support of the health promoting school. Research Papers in Education, 19, 261–291.CrossRef
go back to reference Yamaguchi, R., Johnston, L. D., & O’Malley, P. M. (2003). Relationship between student illicit drug use and school drug-testing policies. Journal of School Health, 73, 159–164.PubMedCrossRef Yamaguchi, R., Johnston, L. D., & O’Malley, P. M. (2003). Relationship between student illicit drug use and school drug-testing policies. Journal of School Health, 73, 159–164.PubMedCrossRef
go back to reference Yu, C.-Y., & Muthén, B. (2002). Evaluation of model fit indices for latent variable models with categorical and continuous outcomes. Los Angeles: University of California at Los Angeles, Graduate School of Education & Information. Yu, C.-Y., & Muthén, B. (2002). Evaluation of model fit indices for latent variable models with categorical and continuous outcomes. Los Angeles: University of California at Los Angeles, Graduate School of Education & Information.
Metagegevens
Titel
Student Drug Testing in the Context of Positive and Negative School Climates: Results from a National Survey
Auteurs
Sharon R. Sznitman
Sally M. Dunlop
Priya Nalkur
Atika Khurana
Daniel Romer
Publicatiedatum
01-02-2012
Uitgeverij
Springer US
Gepubliceerd in
Journal of Youth and Adolescence / Uitgave 2/2012
Print ISSN: 0047-2891
Elektronisch ISSN: 1573-6601
DOI
https://doi.org/10.1007/s10964-011-9658-2

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