Access the full text.
Sign up today, get DeepDyve free for 14 days.
J. Hawkins, R. Catalano, Janet Miller (1992)
Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance abuse prevention.Psychological bulletin, 112 1
T. Steger-Hartmann, A. Kreuchwig, L. Vaas, J. Wichard, F. Bringezu, A. Amberg, W. Muster, F. Pognan, C. Barber (2020)
Introducing the concept of virtual control groups into preclinical toxicology testing.ALTEX
B. Bry (1983)
Predicting drug abuse: review and reformulation.The International journal of the addictions, 18 2
I. Ajzen (1991)
The theory of planned behaviorOrganizational Behavior and Human Decision Processes, 50
J. Rose, L. Dierker, D. Hedeker, R. Mermelstein (2013)
An integrated data analysis approach to investigating measurement equivalence of DSM nicotine dependence symptoms.Drug and alcohol dependence, 129 1-2
S. Stoddard, Jennifer Pierce (2016)
Alcohol and Marijuana Use and Intentions Among Adolescents: The Role of the Reasoned Action Approach and Positive Future OrientationYouth & Society, 50
R. Miech, L. Johnston, P. O'Malley (2017)
Prevalence and Attitudes Regarding Marijuana Use Among Adolescents Over the Past DecadePediatrics, 140
Kelly Graves, M. Fernández, T. Shelton, James Frabutt, Amanda Williford (2005)
Risk and Protective Factors Associated with Alcohol, Cigarette, and Marijuana Use During AdolescenceJournal of Youth and Adolescence, 34
C. Richardson, Jaemoon Kwon, P. Ratner (2012)
Self-esteem and the initiation of substance use among adolescents.Canadian journal of public health = Revue canadienne de sante publique, 104 1
A. Rindfleisch, A. Malter, Shankar Ganesan, C. Moorman (2008)
Cross-Sectional versus Longitudinal Survey Research: Concepts, Findings, and GuidelinesJournal of Marketing Research, 45
J. Epstein, H. Bang, G. Botvin (2007)
Which psychosocial factors moderate or directly affect substance use among inner-city adolescents?Addictive behaviors, 32 4
R. Kosterman, J. Hawkins, Jie Guo, R. Catalano, Robert Abbott (2000)
The dynamics of alcohol and marijuana initiation: patterns and predictors of first use in adolescence.American journal of public health, 90 3
B. Thomas, L. Hsiu (1993)
The role of selected risk factors in predicting adolescent drug use and its adverse consequences.The International journal of the addictions, 28 14
D. Stekhoven, P. Bühlmann (2011)
MissForest - non-parametric missing value imputation for mixed-type dataBioinformatics, 28 1
C. Brown, Ahnalee Brincks, Shi Huang, T. Perrino, Gracelyn Cruden, Hilda Pantin, G. Howe, Jami Young, W. Beardslee, S. Montag, I. Sandler (2018)
Two-Year Impact of Prevention Programs on Adolescent Depression: an Integrative Data Analysis ApproachPrevention Science, 19
E. Elek, Michelle Miller-Day, M. Hecht (2006)
Influences of Personal, Injunctive, and Descriptive Norms on Early Adolescent Substance useJournal of Drug Issues, 36
G. Wunsch, Federica Russo, M. Mouchart (2010)
Do We Necessarily Need Longitudinal Data to Infer Causal Relations?Bulletin de Méthodologie Sociologique, 106
Paul Madley-Dowd, R. Hughes, K. Tilling, J. Heron (2019)
The proportion of missing data should not be used to guide decisions on multiple imputationJournal of Clinical Epidemiology, 110
Megan Schuler, J. Tucker, E. Pedersen, E. D’Amico (2019)
Relative influence of perceived peer and family substance use on adolescent alcohol, cigarette, and marijuana use across middle and high school.Addictive behaviors, 88
Youqiang Zhang, Guo Cao, Bisheng Wang, Xuesong Li (2019)
A novel ensemble method for k-nearest neighborPattern Recognit., 85
M. Fearnow-Kenney, W. Hansen, R. McNeal (2002)
Comparison of Psychosocial Influences on Substance Use in Adolescents: Implications for Prevention ProgrammingJournal of Child & Adolescent Substance Abuse, 11
C. Brown, G. Curran, L. Palinkas, G. Aarons, K. Wells, Loretta Jones, L. Collins, N. Duan, B. Mittman, Andrea Wallace, R. Tabak, L. Ducharme, David Chambers, G. Neta, Tisha Wiley, J. Landsverk, Ken Cheung, Gracelyn Cruden, Gracelyn Cruden (2017)
An Overview of Research and Evaluation Designs for Dissemination and Implementation.Annual review of public health, 38
W. Hansen, L. Dusenbury, Dana Bishop, James Derzon (2006)
Substance abuse prevention program content: systematizing the classification of what programs target for change.Health education research, 22 3
S. O'Cathail, O. O’Connell, N. Long, M. Morgan, J. Eustace, B. Plant, J. Hourihane (2011)
Association of cigarette smoking with drug use and risk taking behaviour in Irish teenagers.Addictive behaviors, 36 5
R. Cialdini, R. Reno, Carl Kallgren (1990)
A focus theory of normative conduct: Recycling the concept of norms to reduce littering in public places.Journal of Personality and Social Psychology, 58
J. Perkins, H. Perkins, Jordan Jurinsky, D. Craig (2019)
Adolescent Tobacco Use and Misperceptions of Social Norms Across Schools in the United States.Journal of studies on alcohol and drugs, 80 6
K. Muralidharan (2010)
A Note on Transformation, Standardization and Normalization
L. Trudeau, Catherine Lillehoj, R. Spoth, C. Redmond (2003)
The Role of Assertiveness and Decision Making in Early Adolescent Substance Initiation: Mediating ProcessesJournal of Research on Adolescence, 13
A. Biglan, D. Hood, P. Brozovsky, L. Ochs, D. Ary, C. Black (1997)
Subject attrition in prevention researchSubstance Use & Misuse, 32
Adam Zaleski, P. Aloise-Young (2013)
Using Peer Injunctive Norms to Predict Early Adolescent Cigarette Smoking Intentions.Journal of applied social psychology, 43 Suppl 1
Maury Nation, C. Heflinger (2006)
Risk Factors for Serious Alcohol and Drug Use: The Role of Psychosocial Variables in Predicting the Frequency of Substance Use Among AdolescentsThe American Journal of Drug and Alcohol Abuse, 32
Devin Banks, Alia Rowe, P. Mpofu, Tamika Zapolski (2017)
Trends in typologies of concurrent alcohol, marijuana, and cigarette use among US adolescents: An ecological examination by sex and race/ethnicity.Drug and alcohol dependence, 179
K. Komro, C. Perry, Christopher Williams, M. Stigler, K. Farbakhsh, S. Veblen-Mortenson (2001)
How did Project Northland reduce alcohol use among young adolescents? Analysis of mediating variables.Health education research, 16 1
G. Huba, J. Wingard, P. Bentler (1981)
Intentions to use drugs among adolescents: a longitudinal analysis.The International journal of the addictions, 16 2
R. Olds, D. Thombs, Jennifer Tomasek (2005)
Relations between normative beliefs and initiation intentions toward cigarette, alcohol and marijuana.The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 37 1
Zachary Hohman, W. Crano, J. Siegel, Eusebio Alvaro (2014)
Attitude Ambivalence, Friend Norms, and Adolescent Drug UsePrevention Science, 15
L. Johnston, R. Miech, P. O'Malley, J. Bachman, J. Schulenberg, Megan Patrick (2016)
Monitoring the Future national survey results on drug use, 1975-2017: Overview, key findings on adolescent drug use
W. Hansen (2020)
Relative Reduction in Prevalence (RRP): An Alternative to Cohen’s Effect Size Statistics for Judging Alcohol, Cigarette, and Marijuana Use Prevention OutcomesThe Journal of Primary Prevention, 41
D. Berry, M. Elashoff, S. Blotner, R. Davi, Philip Beineke, M. Chandler, David Lee, Lin-Chi Chen, S. Sarkar (2017)
Creating a synthetic control arm from previous clinical trials: Application to establishing early end points as indicators of overall survival in acute myeloid leukemia (AML).Journal of Clinical Oncology, 35
E. Trucco (2020)
A review of psychosocial factors linked to adolescent substance usePharmacology Biochemistry and Behavior, 196
V. Venkatesh (1977)
Organizational Behavior and Human Decision Processes
W. Hansen, L. Collins, C. Malotte, C. Johnson, J. Fielding (1985)
Attrition in prevention researchJournal of Behavioral Medicine, 8
Nathaniel Dell, Sweta Srivastava, M. Vaughn, Christopher Salas-Wright, A. Hai, Z. Qian (2021)
Binge drinking in early adulthood: A machine learning approach.Addictive behaviors, 124
A. McCallum, K. Nigam, L. Ungar (2000)
Efficient clustering of high-dimensional data sets with application to reference matching
A. Biglan, D. Hood, P. Brozovsky, L. Ochs, D. Ary, C. Black (1991)
Subject attrition in prevention research.NIDA research monograph, 107
B. Rowland, J. Toumbourou, M. Livingston (2015)
The association of alcohol outlet density with illegal underage adolescent purchasing of alcohol.The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 56 2
W. Hansen, N. Tobler, J. Graham (1990)
Attrition in Substance Abuse Prevention ResearchEvaluation Review, 14
L. Scheier, G. Botvin, T. Diaz, Kenneth Griffin (1999)
Social Skills, Competence, and Drug Refusal Efficacy as Predictors of Adolescent Alcohol UseJournal of Drug Education, 29
(2014)
Data normalization and standardization: A technical report
R. Plackett (1972)
An introduction to the theory of statistics
W. Hansen (1992)
School-based substance abuse prevention: a review of the state of the art in curriculum, 1980-1990.Health education research, 7 3
P. Curran, J. Mcginley, Daniel Bauer, A. Hussong, A. Burns, L. Chassin, K. Sher, R. Zucker (2014)
A Moderated Nonlinear Factor Model for the Development of Commensurate Measures in Integrative Data AnalysisMultivariate Behavioral Research, 49
W. B. Hansen, N. S. Tobler, J. W. Graham (1990)
Attrition in substance abuse prevention research: A meta-analysis of 85 longitudinally followed cohortsEvaluation Review, 14
Annette Kaufman, Alexander Persoskie, J. Twesten, Julie Bromberg (2018)
A review of risk perception measurement in tobacco control researchTobacco Control, 29
James Derzon, M. Lipsey (1999)
Predicting tobacco use to age 18: a synthesis of longitudinal research.Addiction, 94 7
W. Hansen, James Derzon, L. Dusenbury, Dana Bishop, K. Campbell, Aaron Alford (2009)
Operating Characteristics of Prevention Programs: Connections to Drug Etiology
James Derzon (1999)
A Synthesis of Research on the Predictors of Youth Alcohol, Tobacco, and Marijuana Use:
J. Breedvelt, V. Zamperoni, E. South, E. Uphoff, S. Gilbody, C. Bockting, R. Churchill, A. Kousoulis (2020)
A systematic review of mental health measurement scales for evaluating the effects of mental health prevention interventions.European journal of public health
P. Curran, A. Hussong (2009)
Integrative data analysis: the simultaneous analysis of multiple data sets.Psychological methods, 14 2
S. Barkin, Karen Smith, R. Durant (2002)
Social skills and attitudes associated with substance use behaviors among young adolescents.The Journal of adolescent health : official publication of the Society for Adolescent Medicine, 30 6
Samantha Margherio, Megan Brickner, Steven Evans, Julie Owens, G. DuPaul, Nicholas Allan (2020)
The role of emotion regulation in alcohol use among adolescents with attention-deficit/hyperactivity disorder.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors
W. Hansen, Shyh-Huei Chen, Santiago Saldana, E. Ip (2018)
An Algorithm for Creating Virtual Controls Using Integrated and Harmonized Longitudinal DataEvaluation & the Health Professions, 41
Peggy Stephens, Z. Sloboda, R. Stephens, Brent Teasdale, S. Grey, Richard Hawthorne, Joseph Williams (2009)
Universal school-based substance abuse prevention programs: Modeling targeted mediators and outcomes for adolescent cigarette, alcohol and marijuana use.Drug and alcohol dependence, 102 1-3
K. Komro, C. Perry, K. Munson, M. Stigler, K. Farbakhsh (2004)
Reliability and Validity of Self-Report Measures to Evaluate Drug and Violence Prevention ProgramsJournal of Child & Adolescent Substance Abuse, 13
James Derzon, M. Lipsey (1999)
A Synthesis of the Relationship of Marijuana Use with Delinquent and Problem BehaviorsSchool Psychology International, 20
W. Warren (1973)
Partial CorrelationThe SAGE Encyclopedia of Research Design
T. Schwinn, S. Schinke, J. Noia (2010)
Preventing Drug Abuse Among Adolescent Girls: Outcome Data from an Internet-Based InterventionPrevention Science, 11
Kentaro Yamamoto, J. Mazzeo (1992)
Chapter 4: Item Response Theory Scale Linking in NAEPJournal of Educational Statistics, 17
R. Davies, A. Pickles (1985)
Longitudinal versus Cross-Sectional Methods for Behavioural Research: A First-Round KnockoutEnvironment and Planning A, 17
J. Strayhorn (2021)
Virtual controls as an alternative to randomized controlled trials for assessing efficacy of interventionsBMC Medical Research Methodology, 21
L. Breiman (2001)
Random ForestsMachine Learning, 45
I. Ajzen, M. Fishbein (1980)
Understanding Attitudes and Predicting Social Behavior
Rodrigo García-Cerde, J. Valente, Z. Sanchez (2020)
Attitudes are associated with the drug use profiles of middle school adolescents: A latent class analysisPsychiatry Research, 295
W. Hansen, R. McNeal (1996)
The law of maximum expected potential effect: constraints placed on program effectiveness by mediator relationshipsHealth Education Research, 11
M. Newcomb, E. Maddahian, R. Skager, P. Bentler (1987)
Substance abuse and psychosocial risk factors among teenagers: associations with sex, age, ethnicity, and type of school.The American journal of drug and alcohol abuse, 13 4
G. U. Yule, G. U. Yule (1911)
Partial correlationAn introduction to the theory of statistics
A. Burns, A. Hussong, Jessica Solis, P. Curran, J. Mcginley, Daniel Bauer, L. Chassin, R. Zucker (2017)
Examining cohort effects in developmental trajectories of substance useInternational Journal of Behavioral Development, 41
G. Tutz, Shahla Ramzan (2015)
Improved methods for the imputation of missing data by nearest neighbor methodsComput. Stat. Data Anal., 90
(2020)
Variable importance plot (mean decrease accuracy and mean decrease Gini)
E. Finch, J. Strang (1998)
Reliability and validity of self-reportDrug and Alcohol Dependence, 51
We normalized, harmonized, and pooled 344,429 surveys collected from 106,470 research participants from 25 research studies that assessed past 30-day alcohol use, drunkenness, smoking cigarettes, using marijuana, and a host of psychosocial variables. After normalizing and harmonizing psychosocial measures, we completed analyses to examine the ability of psychosocial variables to serve as proxy indicators of use. Intentionality, peer descriptive normative beliefs, and age emerged as being of primary importance in indicating use. Additional variables – peer injunctive norms, beliefs about the positive and negative consequences of use, and attitudes – were also demonstrated to have the potential to serve as proxies in the assessment of substance use risk. There were developmental patterns in how intentionality and descriptive normative beliefs changed with age. Young adolescents had scores that are protective; they have positive intentionality and do not see the prevalence of alcohol and other drug use as widespread. These and other psychosocial variable’s mean scores generally erode with age while the distribution of scores widens as youth grow older. The goal of analyses was to define age-related psychosocial profiles that can be used prospectively to estimate substance use risk. These profiles are useful in creating virtual control cases for evaluating disseminated prevention programs.
Evaluation & the Health Professions – SAGE
Published: Dec 1, 2022
Keywords: adolescent; developmental trends; alcohol; drunkenness; cigarettes; marijuana; psychosocial constructs
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.