A Preliminary Evaluation of the Effects of a Science Education Curriculum on Changes in Knowledge of Drugs in Youth

Abstract

Drug and alcohol use among youth remains at pervasively high levels, but students are receiving less school-based prevention. Infusing health information into core curricula may be a valuable prevention approach. Therefore, behavior change theory was used to develop a science education curriculum on drugs for fourth- and fifth-grade students, which was then evaluated using a pretest/posttest quasi-experimental design. Exposure to the curriculum was associated with a change in knowledge; other characteristics like grade level also played a role. More positive attitudes toward science at pretest predicted greater knowledge change, and students who knew less at the start showed a greater change in knowledge. Results of this evaluation may support the efficacy of the curriculum and the utility of combining behavior change theory with educational approaches.

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References

Ajzen

(1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.

Albarracin

Johnson

Fishbein

, & Muellerleile

(2001). Theories of reasoned action and planned behavior as models of condom use: A meta-analysis. Psychological Bulletin, 127(1) 142–161.

Alcalay

, & Bell

R. A.

(2000). Promoting nutrition and physical activity through social marketing: Current practices and recommendations. California Department of Health Services. Retrieved 7/17/06 from http://www.socialmarketing-nutrition.ucdavis.edu

Amaro

Black

S. M.

Schwartz

P. M.

, & Flinchbaugh

L. J.

(2001). Developing theory-based substance abuse prevention programs for young adolescent girls. Journal of Early Adolescence, 21(3), 256–293.

Anthony

J. C.

, & Petronis

K. R.

(1995). Early-onset drug use and risk of later drug problems. Drug and Alcohol Dependence, 40(1), 9–15.

Botvin

Baker

Dusenbury

Botvin

, & Diaz

(1995). Long-term follow-up results of a randomized drug-abuse prevention trial in a white middle class population. Journal of the American Medical Association, 273, 1106–1112.

Bower

J. M.

(2007). Scientists and science education reform: Myths, methods, and madness. National Academics of Science, retrieved 4/13/07 from http://www.nationalacademies.org/rise/backg2a.htm

Christiansen

B. A.

Goldman

M. S.

, & Inn

(1982). Development of alcohol-related expectancies in adolescents: Separating pharmacological from social learning influences. Journal of Consulting and Clinical Psychology, 50(3), 336–344.

Dittus

Miller

K. S.

Kotchick

B. A.

, & Forehand

(2004). Why parents matter! The conceptual basis for a community-based HIV prevention program for the parents of African-America youth. Behavioral Science, 31(1), 5–20.

10.

Edwards

Beauvais

, & Oetting

(1986). American Drug and Alcohol Survey. Rocky Mountain Behavioral Sciences Institute.

11.

Eisen

Zellman

G. L.

Massett

H. A.

, & Murray

D. M.

(2002) Evaluating the Lions-Quest “Skills for Adolescence” drug education program: First-year behavior outcomes. Addictive Behaviors, 27(4), 619–632.

12.

Ellickson

Bui

, & Bell

(1998). Does early drug use increase the risk of dropping out of high school? Journal of Drug Issues, 28(2), 357–380.

13.

Ellickson

P. L.

McCaffrey

D. F.

Ghosh-Dastidar

, & Longshore

D. L.

(2003). New inroads in preventing adolescent drug use: Results from a large-scale trial of Project ALERT in middle schools. American Journal of Public Health, 93, 1830–1839.

14.

Ellickson

P. L.

Tucker

J. S.

, & Klein

D. J.

(2003). Ten-year prospective study of public health problems associated with early drinking. Pediatrics, 111(5), 949–956.

15.

Evans

R. I.

(2003). Some theoretical models and constructs generic to substance abuse prevention programs for adolescents: Possible deliverance and limitations for problem gambling. Journal of Gambling Studies, 19(3), 287–302.

16.

Fishbein

, & Middlestadt

S. E.

(1987). Using the theory of reasoned action to develop educational interventions: Applications to illicit drug use. Health Education Research, 2(4) 361–371.

17.

Fishbein

, & Yzer

M. C.

(2003). Using theory to design effective health behavior interventions. Communication Theory, 13(2), 164–183.

18.

Gielen

A. C.

, & Sleet

(2003). Application of behavior-change theories and methods to injury prevention. Epidemiologic Reviews, 25, 65–76.

19.

Gil

A. G.

Wagner

E. F.

, & Tubman

J. G.

(2004). Associations between early-adolescent substance use and subsequent young-adult substance use disorders and psychiatric disorders among a multiethnic male sample in south Florida. American Journal of Public Health, 94(9), 1603–1609.

20.

Hansen

W. B.

(1996). Pilot test results comparing the All Stars Program with seventh grade DARE: Program integrity and mediating variable analysis. Substance Use and Misuse, 31, 1359–1377.

21.

Hawkins

J. D.

Graham

J. W.

Maguin

Abbott

R. D.

Hill

K. G.

, & Catalano

R. F.

(1997). Exploring the effects of age of alcohol use initiation and psychosocial risk factors on subsequent alcohol misuse. Journal of Studies on Alcohol, 58(3), 280–290.

22.

Horan

J. J.

, & Williams

J. M.

(1975). The tentative drug use scale: A quick and relatively problem free outcome measure for drug abuse prevention projects. Journal of Drug Education, 5(4), 381–385.

23.

Johnston

L. D.

O'Malley

P. M.

Bachman

J. G.

, & Schulenberg

J. E.

(2005). Monitoring the future: National results of adolescent drug use, overview of key findings, 2005. Bethesda, MD: National Institute on Drug Abuse. Retrieved 10/23/06, from http://www.monitoringthefuture.org/pubs/monographs/overview2005.pdf

24.

Johnston

L. D.

O'Malley

P. M.

Bachman

J. G.

, & Schulenberg

J. E.

(2006, December 21). Teen drug use continues down in 2006, particularly among older teens; but use of prescription-type drugs remains high. Ann Arbor, MI: University of Michigan News and Information Services. [On-line]. Available: www.monitoringthefuture.org; accessed 4/17/07.

25.

McNeal

Hansen

Harrington

, & Giles

(2004). How AllStars works: An examination of program effects on mediating variables Health Education & Behavior, 31(2) 165–178.

26.

Morse

Wilbur

, & Ballard

(2004) Unintended consequences: Implications for health and physical education. Presented at the No Child Left Behind Forum, February 20–21, 2004, Reston, VA. Retrieved 10/24/06, from http://www.aahperd.org/aahperd/template.cfm?template=nclb.html

27.

Morrison

D. M.

Mar

C. M.

Well

E. A.

Gillmore

M. R.

Hoppe

M. J.

Wilsdon

Murowchick

, & Archibald

M. E.

(2002). The theory of reasoned action as a model of children's health behavior. Journal of Applied Social Psychology, 32(11), 2266–2295.

28.

Mott

F. L.

Fondell

M. M.

P. N.

Kowaleski-Jones

, & Menaghan

E. G.

(1996). The determinants of first sex by age 14 in a high-risk adolescent population. Family Planning Perspectives, 28(1), 13–18.

29.

Mykytyn

P. P.

, & Harrison

D. A.

(1993). The application of the theory of reasoned action to senior management and strategic information systems. Information Resources Management Journal, 6(2), 15–26.

30.

Nabi

R. L.

Southwell

, & Hornik

(2002). Predicting intentions versus predicting behaviors: Domestic violence prevention from a theory of reasoned action perspective. Health Communication, 14(4), 429–449.

31.

National Center on Addition and Substance Abuse. (1999). Dangerous liaisons: Substance abuse and sex. Washington, DC.

32.

National Education Association. (2004). No subject left behind? Think again. NEA Today, 23(3), 26–27.

33.

National Institute on Drug Abuse. (2003). Preventing drug abuse among children and adolescents: A research-based guide for parents, educators, and community leaders. NIH Publication No. 04–4212(B). Bethesda, MD: National Institute on Drug Abuse, 1997 (second edition October 2003).

34.

Norman

Bennet

, & Lewis

(1998). Understanding binge drinking among young people: An application of the theory of planned behavior. Health Education Research, 13(2), 163–169.

35.

Oetting

Edwards

Kelly

, & Beauvais

(1997). Risk and protective factors for drug use among rural American youth. In Robertson

E. B.

Sloboda

Boyd

G. M.

Beatty

, & Kozel

N. J.

(Eds.), Rural substance abuse: State of knowledge and issues (NIDA Research Monograph No. 168). Washington, DC: U.S. Government Printing Office.

36.

Office of Applied Studies, Substance Abuse and Mental Health Services Administration. (2004). Results from the 2003 National Survey on Drug Use and Health: National findings (DHHS Publication No. SMA 04–3964, NSDUH Series H-25). Washington, DC: U.S. Department of Health and Human Services.

37.

Office of National Drug Control Policy. (2004). The economic costs of drug abuse in the United States, 1992–2002 (Publication No. 207303). Washington, DC: Executive Office of the President.

38.

Orwin

(2006). Evaluation of the National Youth Anti-Drug Media Campaign: 2004 report of findings. Rockville, MD: Westat.

39.

Osterman

K. F.

, & Kottkamp

R. B.

(1993). Reflective practice for educators: Improving schooling thought professional development. Newbury Park, CA: Sage Publications.

40.

Petraitis

Flay

, & Miller

(1995). Reviewing theories of adolescent substance use: Organizing pieces in the puzzle. Psychological Bulletin, 17(2), 67–86.

41.

Rim

E. D.

(1971). The How I Feel About Science Questionnaire. Available online at EDS Testlink: www.syndneyplus.ets.org.

42.

Slater

, & Kelly

(2002). Testing alternative explanations for exposure effects in media campaigns: The case of a community-based, in-school media drug prevention project. Communication Research, 29, 367–389.

43.

Slater

Kelly

Edwards

Thursman

Plested

Keefe

Lawrence

, & Henry

(2006). Combining in-school and community based media efforts: Reducing marijuana and alcohol uptake among younger adolescents. Health Education Research, 21(1), 157–167.

44.

Sutton

(1998). Predicting and explaining intentions and behavior: How well are we doing? Journal of Applied Social Psychology, 28(15), 1317–1338.

45.

Tobler

, & Stratton

(1997). Effectiveness of school-based drug prevention programs: A meta-analysis of the research. Journal of Primary Prevention, 18(1), 71–128.

46.

U.S. Department of Health and Human Services, Office of the Surgeon General, SAMHSA. (2001). Youth violence: A report of the surgeon general. Retrieved 10/30/06, from http://www.surgeongeneral.gov/library/youthviolence

47.

Wallisch

L. S.

, & Liu

L. Y.

(1998). 1998 Texas school survey of substance use among students: Grades 4–6—executive summary. Retrieved 10/26/06, from http://www.tcada.state.tx.us/research/survey/grades4–6/1998

48.

Wilson

Battistich

Syme

S. L.

, & Boyce

W. T.

(2002). Does elementary school alcohol, tobacco, and marijuana use increase middle school risk? The Journal of Adolescent Health, 30(6), 442–447.

49.

Windle

, & Weisner

(2004). Trajectories of marijuana use from adolescence to young adulthood: Predictors and outcomes. Development and Psychopathology, 16(4), 1007–1027.

50.

Worden

, & Slater

(2004). Theory and practice in the National Youth Anti-drug Media Campaign. Social Marketing Quarterly, 10(2), 12–27.

51.

Zint

(2002). Comparing three attitude-behavior theories for predicting science teachers' intentions. Journal of Research in Science Teaching. 3(9), 819–844.