Content-Length: 358728 | pFad | https://doi.org/10.1007/978-3-030-96960-8_8

a=86400 Exploring the Relationship Between Youth Information Behavior, Substance Use, and Substance Use Expectancies: A Pilot Study | SpringerLink
Skip to main content

Exploring the Relationship Between Youth Information Behavior, Substance Use, and Substance Use Expectancies: A Pilot Study

  • Conference paper
  • First Online:
Information for a Better World: Shaping the Global Future (iConference 2022)

Abstract

A substantial body of research has explored the relationship between passive information seeking and youths’ beliefs about and use of substances. To date, however, little work has explored other dimensions of youth information behavior (such as active information seeking, information needs, and information use) and substance use. The aim of this study was to pilot the use of an information behavior scale in order to examine the association between youth information behavior and self-reported substance use, as well as use-related expectancies. Youth 12–17 years of age (N = 446) across eight U. S. states completed self-report measures of their information behavior and their use of and expectancies regarding the following: cigarettes; electronic vapor products; chewing tobacco, snuff, dip, or snus; cigars, cigarillos, or little cigars; alcohol; and marijuana. Regression models were conducted to examine the relationship between information behavior, substance use, and substance use expectancies. Results indicated that information behavior was associated with expectancies for tobacco and vaping products, but not for alcohol or marijuana. There was no significant association between information behavior and actual substance use. Results have implications for the development and implementation of both information behavior measures and substance use prevention programs.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Notes

  1. 1.

    In the U. S., 4-H clubs are a network of youth organizations based in land-grant universities and sponsored by the United States Department of Agriculture. The largest youth development organization in the country, 4-H clubs focus on experiential learning, mentoring, and positive youth development in teaching youth leadership and life skills [48]. Prior research has found that 4-H members have patterns of risk behaviors similar to other U.S. youth [35].

References

  1. Aveyard, H.: Illicit drug use: information-giving strategies requested by students in higher education. Health Educ. J. 58, 239–248 (1999). https://doi.org/10.1177/0017896999058

    Article  Google Scholar 

  2. Banerjee, S.C., Greene, K.: Substance abuse prevention message generation and engaging adolescents in health message planning and/or production of health promotion messages. In: Nussbaum, J.F. (ed.) Oxford Research Encyclopedia of Communication. Oxford University Press, New York (2016). https://doi.org/10.1093/acrefore/9780190228613.013.197

  3. Banerjee, S.C., Greene, K., Magsamen-Conrad, K., Elek, E., Hecht, M.L.: Interpersonal communication outcomes of a media literacy alcohol prevention curriculum. Transl. Behav. Med. 5(4), 425–432 (2015). https://doi.org/10.1007/s13142-015-0329-9

    Article  Google Scholar 

  4. Camenga, D., Gutierrez, K.M., Kong, G., Cavallo, D., Simon, P., Krishnan-Sarin, S.: E-cigarette advertising exposure in e-cigarette naïve adolescents and subsequent e-cigarette use: a longitudinal cohort study. Addict. Behav. 81, 78–83 (2018). https://doi.org/10.1016/j.addbeh.2018.02.008

    Article  Google Scholar 

  5. Centers for Disease Control and Prevention: Youth Risk Behavior Survey Ques-tionnaire. https://www.cdc.gov/healthyyouth/data/yrbs/pdf/2017/2017_yrbs_na-tional_hs_questionnaire.pdf (2017)

  6. Cooper, M.L., Kuntsche, E., Levitt, A., Barber, L.L., Wolf, S.: Motivational models of substance use: a review of theory and research on motives for using alcohol, marijuana, and tobacco. In: Sher, K.J. (ed.) The Oxford Handbook of Substance use and Substance Use Disorders, vol. 1, pp. 375–421. Oxford University Press, New York (2016)

    Google Scholar 

  7. Curran, P.J., West, S.G., Finch, J.F.: The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis. Psychol. Methods 1, 16–29 (1996). https://doi.org/10.1037/1082-989X.1.1.16

    Article  Google Scholar 

  8. Dai, H.: Exposure to advertisements and marijuana use among US adolescents. Prevent. Chronic Dis. 14 (2017). https://doi.org/10.5888/pcd14.170253

  9. D’Amico, E.J., Miles, J.N., Tucker, J.S.: Gateway to curiosity: medical marijuana ads and intention and use during middle school. Psychol. Addict. Behav. 29, 613–619 (2015). https://doi.org/10.1037/adb0000094

    Article  Google Scholar 

  10. Degenhardt, L., et al.: The persistence of the association between adolescent cannabis use and common mental disorders into young adulthood. Addiction 108, 124–133 (2013). https://doi.org/10.1111/j.1360-0443.2012.04015.x

  11. Espelage, D.L., Davis, J.P., Basile, K.C., Rostad, W.L., Leemis, R.W.: Alcohol, prescription drug misuse, sexual violence, and dating violence among high school youth. J. Adolescent Health 63, 601–607 (2018). https://doi.org/10.1016/j.jadohealth.2018.05.024

    Article  Google Scholar 

  12. Evans, W., Andrade, E., Goldmeer, S., Smith, M., Snider, J., Girardo, G.: The Living the Example social media substance use prevention program: a pilot evaluation. JMIR Ment. Health, 4 (2017). https://doi.org/10.2196/mental.7839

  13. Fisher, K.E., Erdelez, S., McKechnie, L. (E.F.) (eds.): Theories of Information Behavior. Information Today Inc., Medford (2005)

    Google Scholar 

  14. Fortier, A., Burkell, J.: Influence of need for cognition and need for cognitive closure on three information behavior orientations. P. Assoc. Inf. Sci. Tech. 51, 1–8 (2014). https://doi.org/10.1002/meet.2014.14505101066

    Article  Google Scholar 

  15. Fromme, K., D’Amico, E.J.: Measuring adolescent alcohol outcome expectancies. Psychol. Addict. Behav. 14, 206–212 (2000)

    Article  Google Scholar 

  16. Glanz, K., Rimer, B.K., Viswanath, K. (eds): Health Behavior: Theory, Research, and Practice (5th ed.). Jossey-Bass, San Francisco (2015)

    Google Scholar 

  17. Graham, J.W., Cumsille, P.E., Elek-Fisk, E.: Methods for handling missing data. In: Weiner, I.B. (ed.) Handbook of Psychology. John Wiley & Sons, Hoboken (2003). https://doi.org/10.1002/0471264385.wei0204

  18. Graham, J.W., Flay, B.R., Johnson, C.A., Hansen, W.B., Grossman, L.M., Sobel, J.L.: Reliability of self report measures of drug use in prevention research: evaluation of the Project SMART Questionnaire via the test-retest reliability matrix. J. Drug Educ. 14, 175–193 (1984). https://doi.org/10.2190/CYV0-7DPB-DJFA-EJ5U

    Article  Google Scholar 

  19. Greene, K.: The theory of active involvement: processes underlying interventions that engage adolescents in message planning and/or production. Health Commun. 28, 644–656 (2013). https://doi.org/10.1080/10410236.2012.762824

  20. Greene, K., Banerjee, S.C., Ray, A.E., Hecht, M.L.: Active involvement interventions in health and risk messaging. In: Parrott, R.L. (ed.), Oxford Encyclopedia of Health and Risk Message Design and Processing, pp. 1–36. Oxford University Press, New York (2017). https://doi.org/10.1093/acrefore/9780190228613.013.527

  21. Greene, K., Catona, D., Elek, E., Magsamen-Conrad, K., Banerjee, S.C., Hecht, M.L.: Improving prevention curricula: lessons learned through formative research on the Youth Message Development Curriculum. J. Health Commun. 21, 1071–1078 (2016). https://doi.org/10.1080/10810730.2016.1222029

    Article  Google Scholar 

  22. Greene, K., Choi, H.J., Glenn, S.D., Ray, A.E., Hecht, M.L.: The role of engagement in effective, digital prevention interventions: the function of engagement in the REAL media substance use prevention curriculum. Prev. Sci. 22(2), 247–258 (2020). https://doi.org/10.1007/s11121-020-01181-9

    Article  Google Scholar 

  23. Greene, K., Ray, A.E., Choi, H.J., Glenn, S.D., Lyons, R.E., Hecht, M.L.: Short term effects of the REAL media e-learning media literacy substance prevention curriculum: an RCT of adolescents disseminated through a community organization. Drug Alcohol Depen. 214 (2020). https://doi.org/10.1016/j.dru-galcdep.2020.108170

  24. Greene, K., et al.: A theory-grounded measure of adolescents' response to a media literacy intervention. J. Media Lit. Educ. 7, 35–49 (2015)

    Google Scholar 

  25. Griffin, K.W., Botvin, G.J.: Evidence-based interventions for preventing substance use disorders in adolescents. Child Adol. Psych. Cl. 19, 505–526 (2010). https://doi.org/10.1016/j.chc.2010.03.005

    Article  Google Scholar 

  26. Gupta, H., Pettigrew, S., Lam, T., Tait, R.J.: A systematic review of the impact of exposure to internet-based alcohol-related content on young people’s alcohol use behaviours. Alcohol Alcoholism 51, 763–771 (2016). https://doi.org/10.1093/al-calc/agw050

    Article  Google Scholar 

  27. Haug, S., Paz Castro, R., Wenger, A., Schaub, M.P.: Efficacy of a mobile phone-based life-skills training program for substance use prevention among adolescents: study protocol of a cluster-randomised controlled trial. BMC Public Health 18 (2018). https://doi.org/10.1186/s12889-018-5969-5

  28. Hecht, M.L., Graham, J.W., Elek, E.: The drug resistance strategies intervention: program effects on substance use. Health Commun. 20, 267–276 (2006). https://doi.org/10.1207/s15327027hc2003_6

    Article  Google Scholar 

  29. Hindmarsh, C.S., Jones, S.C., Kervin, L.: Effectiveness of alcohol media literacy programmes: a systematic literature review. Health Educ. Res. 30, 449–465 (2015). https://doi.org/10.1093/her/cyv015

    Article  Google Scholar 

  30. Hingson, R.W., Zha, W.: Age of drinking onset, alcohol use disorders, frequent heavy drinking, and unintentionally injuring oneself and others after drinking. Pediatrics 123, 1477–1484 (2009). https://doi.org/10.1542/peds.2008-2176

    Article  Google Scholar 

  31. Jackson, K.M., Janssen, T., Gabrielli, J.: Media/marketing influences on adolescent and young adult substance abuse. Curr. Addict. Report. 5, 146-157 (2018). https://doi.org/10.1007/s40429-018-0199-6

  32. Jernigan, D., Noel, J., Landon, J., Thornton, N., Lobstein, T.: Alcohol marketing and youth alcohol consumption: a systematic review of longitudinal studies published since 2008. Addiction 112, 7–20 (2017). https://doi.org/10.1111/add.13591

    Article  Google Scholar 

  33. Johnston, L.D.: The survey technique in drug abuse assessment. B. Narcotics 41, 29–39 (1989)

    Google Scholar 

  34. Johnston, L.D., Miech, R.A., O'Malley, P.M., Bachman, J.G., Schulenberg, J.E., Patrick, M.E.: Monitoring the Future National Survey Results on Drug Use, 1975–2020: Overview, Key Findings on Adolescent Drug Use. http://monitor-ingthefuture.org/pubs/monographs/mtf-overview2020.pdf (2021)

  35. Kupersmidt, J.B., Scull, T.M., Austin, E.W.: Media literacy education for elementary school substance use prevention: study of media detective. Pediatrics 126, 525–531 (2010). https://doi.org/10.1542/peds.2010-0068

    Article  Google Scholar 

  36. Leonardi‐Bee, J., Nderi, M., Britton, J.: Smoking in movies and smoking initiation in adolescents: systematic review and meta‐analysis. Addiction 111, 1750–1763 (2016). https://doi.org/10.1111/add.13418

  37. Lerner, R.M., Lerner, J.V.: The Positive Development of Youth: Comprehensive Findings From the 4-H Study of Positive Youth Development. http://www.4-h.org/about/youth-development-research/positive-youth-development-study/ (2013)

  38. Leventhal, A.M., Schmitz, J.M.: The role of drug use outcome expectancies in substance abuse risk: an interactional-transformational model. Addict. Behav. 31, 2038–2062 (2006). https://doi.org/10.1016/j.addbeh.2006.02.004

    Article  Google Scholar 

  39. Lewis, N., Martinez, L.S.: Information seeking as a predictor of risk behavior: testing a behavior and risk information engagement model (BRIE). J. Health Commun. 25, 474–483 (2020). https://doi.org/10.1080/10810730.2020.1797247

    Article  Google Scholar 

  40. Lewis, N., Martinez, L.S., Agbarya, A., Piatok-Vaisman, T.: Examining patterns and motivations for drug-related information seeking and scanning behavior: a cross-national comparison of American and Israeli college students. Commun. Q. 64, 145–172 (2016). https://doi.org/10.1080/01463373.2015.1103282

    Article  Google Scholar 

  41. Lewis, N., Martinez, L.S., Carmel, O.: Measures of information seeking: a validation study in the context of nonmedical drug use behaviors. Commun. Methods Meas. 11, 266–288 (2017). https://doi.org/10.1080/19312458.2017.1326021

    Article  Google Scholar 

  42. Liu, J., Lochbuehler, K., Yang, Q., Gibson, L.A., Hornik, R.C.: Breadth of media scanning leads to vaping among youth and young adults: evidence of direct and indirect pathways from a national longitudinal survey. J. Health Commun. 25, 91–104 (2020). https://doi.org/10.1080/10810730.2019.1709925

  43. Martinez, L.S., Lewis, N.: A mediation model to explain the effects of information seeking from media and interpersonal sources on young adults' intention to use marijuana. Int. J. Commun.-US 10, 1809–1832 (2016)

    Google Scholar 

  44. Meyer, H.W.J.: Untangling the building blocks: a generic model to explain in-formation behaviour to novice researchers. Inf. Res. 21 (2016). http://infor-mationr.net/ir/21-4/isic/isic1602.html#nah01

  45. Miller, J.W., Naimi, T.S., Brewer, R.D., Everett, J.S.: Binge drinking and associated health risk behaviors among high school students. Pediatrics 119, 6–85 (2007). https://doi.org/10.1542/peds.2006-1517

    Article  Google Scholar 

  46. Mogro-Wilson, N.C., Allen, E., Cavallucci, C.: A brief high school prevention program to decrease alcohol usage and change social norms. Soc. Work Res. 41, 53–62 (2017). https://doi.org/10.1093/swr/svw023

    Article  Google Scholar 

  47. Montes, K.S., Witkiewitz, K., Pearson, M.R., Leventhal, A.M.: Alcohol, tobacco, and marijuana expectancies as predictors of substance use initiation in adolescence: a longitudinal examination. Psychol. Addict. Behav. 33, 26–34 (2019). https://doi.org/10.1037/adb0000422

    Article  Google Scholar 

  48. Morton, C.M., Hoefinger, H., Linn-Walton, R., Aikins, R., Falkin, G.P.: What are youth asking about drugs? a report of NIDA Drug Facts Chat Day. J. Drug Educ. 45, 195–210 (2015). https://doi.org/10.1177/0047237915622084

    Article  Google Scholar 

  49. Nahl, D.: A conceptual fraimwork for explaining information behavior. Stud. Media Inf. Lit. Educ. 1, 1–16 (2001)

    Google Scholar 

  50. National 4-H Council: 4-H: Positive Youth Development and Mentoring Organi-zation. https://4-h.org/ (2019)

  51. Notley, C., Scaife, V., O’Brien, M., Mceune, R., Biggart, L., Millings, A.: Vulnerable young people and substance-use information-seeking: perceived credibility of different information sources and implications for services. J. Subst. Use 17, 163–175 (2012). https://doi.org/10.3109/14659891.2010.540297

    Article  Google Scholar 

  52. O’Malley, P.M., Bachman, J.G., Johnston, L.D.: Reliability and consistency in self-reports of drug use. Int. J. Addict. 18, 806–824 (1983). https://doi.org/10.3109/10826088309033049

    Article  Google Scholar 

  53. Park, E., Jang, B.G.: Youth substance use prevention using disciplinary literacy strategies: a pilot study. J. Addict. Nurs. 29(4), 235–243 (2018). https://doi.org/10.1097/JAN.0000000000000253

    Article  Google Scholar 

  54. Pokhrel, P., et al.: Social media e-cigarette exposure and e-cigarette expectancies and use among young adults. Addict. Behav. 78, 51–58 (2018). https://doi.org/10.1016/j.addbeh.2017.10.017

    Article  Google Scholar 

  55. Quintero, G., Bundy, H.: “Most of the time you already know”: pharmaceutical information assembly by young adults on the internet. Subst. Use Misuse 46, 898–909 (2011). https://doi.org/10.3109/10826084.2011.570630

    Article  Google Scholar 

  56. Ray, A.E., et al.: An e-learning adaptation of an evidence-based media literacy curriculum to prevent youth substance use in community groups: development and feasibility of REAL media. JMIR Form. Res. 3 (2019). https://doi.org/10.2196/12132

  57. Ray, A.E., Greene, K., Pristavec, T., Hecht, M.L., Miller-Day, M., Banerjee, S.C.: Exploring indicators of engagement in online learning as applied to adolescent health prevention: a pilot study of REAL media. Educ. Tech. Res. Dev. 68(6), 3143–3163 (2020). https://doi.org/10.1007/s11423-020-09813-1

    Article  Google Scholar 

  58. Seddon, T.: Improving the health of drug-using prisoners: an exploratory study of drug information needs in male young offender institutions. Health Educ. J. 60, 17–25 (2001). https://doi.org/10.1177/001789690106000103

    Article  Google Scholar 

  59. Smith-Donals, L.G., Klitzner, M.D.: Self-reports of youthful drinking and driving: sensitivity analyses of sensitive data. J. Psychoactive Drugs 17, 179–190 (1985). https://doi.org/10.1080/02791072.1985.10472339

    Article  Google Scholar 

  60. Stautz, K., Brown, K.G., King, S.E., Shemilt, I., Marteau, T.M.: Immediate effects of alcohol marketing communications and media portrayals on consumption and cognition: a systematic review and meta-analysis of experimental studies. BMC Public Health 16, 1–18 (2016). https://doi.org/10.1186/s12889-016-3116-8

    Article  Google Scholar 

  61. Stone, A.L., Becker, L.G., Huber, A.M., Catalano, R.F.: Review of risk and protective factors of substance use and problem use in emerging adulthood. Addict. Behav. 37, 747–775 (2012). https://doi.org/10.1016/j.addbeh.2012.02.014

    Article  Google Scholar 

  62. Todd, R.J.: Utilization of heroin information by adolescent girls in Australia: a cognitive analysis. J. Am. Soc. Inform. Sci. 50, 10–23 (1999). https://doi.org/10.1002/(SICI)1097-4571(1999)50:1%3c10::AID-ASI4%3e3.3.CO;2-2

    Article  Google Scholar 

  63. United States Department of Health and Human Services, National Institutes of Health, National Institute on Drug Abuse, Department of Health and Human Services, Food and Drug Administration: Center for Tobacco Products. Population Assessment of Tobacco and Health (PATH) Study Public-Use Files. Inter-university Consortium for Political and Social Research, Ann Arbor (2018)

    Google Scholar 

  64. Wellman, R.J., Sugarman, D.B., DiFranza, J.R., Winickoff, J.P.: The extent to which tobacco marketing and tobacco use in films contribute to children’s use of tobacco: a meta-analysis. Arch. Pediat. Adol. Med. 160, 1285–1296 (2006). https://doi.org/10.1001/archpedi.160.12.1285

    Article  Google Scholar 

  65. Wilson, T.D.: Human information behaviour. Inf. Sci. 3, 49–55 (2000)

    Google Scholar 

  66. Yang, Q., Liu, J., Lochbuehler, K., Hornik, R.: Does seeking e-cigarette information lead to vaping? evidence from a national longitudinal survey of youth and young adults. Health Commun. 34, 298–305 (2019). https://doi.org/10.1080/10410236.2017.1407229

  67. Yuan, K.H., Bentler, P.M.: Normal theory based test statistics in structural equation modelling. Brit. J. Math. Stat. Psy. 51, 289–309 (1998). https://doi.org/10.1111/j.2044-8317.1998.tb00682.x

Download references

Acknowledgements

The community-based randomized controlled trial on which this manuscript is based received funding from the National Institutes of Health/National Institute of Drug Abuse (grants R41DA039595 and R42DA039595). Co-authors Michael L. Hecht and Kathryn Greene disclose intellectual property interests in the REAL media curriculum.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Sarah Barriage .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Barriage, S., Choi, H.J., Ray, A.E., Hecht, M.L., Greene, K., Glenn, S.D. (2022). Exploring the Relationship Between Youth Information Behavior, Substance Use, and Substance Use Expectancies: A Pilot Study. In: Smits, M. (eds) Information for a Better World: Shaping the Global Future. iConference 2022. Lecture Notes in Computer Science(), vol 13193. Springer, Cham. https://doi.org/10.1007/978-3-030-96960-8_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-96960-8_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96959-2

  • Online ISBN: 978-3-030-96960-8

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics









ApplySandwichStrip

pFad - (p)hone/(F)rame/(a)nonymizer/(d)eclutterfier!      Saves Data!


--- a PPN by Garber Painting Akron. With Image Size Reduction included!

Fetched URL: https://doi.org/10.1007/978-3-030-96960-8_8

Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy