Mediation models are common in substance use and HIV prevention and treatment research. Mediation occurs when an independent variable (e.g. substance use prevention program) has an effect on the dependent variable (e.g. substance use) through a third variable (e.g. resistance skills). Mediation analysis Is Important In substance use and HIV research because It can be used to test theories underlying Interventions;as a way of increasing understanding about how interventions work;and as a method for exploring data to Identify mediation pathways that can inform the development of future interventions. Traditional methods for assessing mediation can enable valid causal Inferences between the independent variable and the mediator variable but not between the mediator and the dependent variable because individuals are not randomly assigned to levels of the mediator. Although new methods for causal inference based on potential outcomes have been developed in the statistical literature, they have not been translated and Implemented in prevention and treatment research. This scientific project proposes to examine the feasibility of new methods for drawing causal Inferences In mediation models of substance use and HIV Interventions, particularly in the presence of moderating variables. Using simulation studies, the new methods will be compared with the traditional methods to determine whether they are an improvement over the traditional methods. We will also extend these methods to study non-randomized Interventions and apply them to data with a multilevel nested structure. The new methods will then be applied to a secondary data analysis of a randomized substance use prevention program for adolescents and to a non-randomized study of women with HIV. The new methods will be implemented in software programs and macros, which will be made available free of charge. Methods and findings will ultimately inform the design of more cost-effective Interventions for substance use and HIV prevention and treatment by allowing prevention and treatment scientists to draw more valid causal inferences when conducting mediation analyses.

Public Health Relevance

This project will (a) generate new statistical methods and software to enable substance use and HIV scientists to draw more valid causal Inferences about mediation processes, and (b) apply these methods In secondary analysis of substance use and HIV prevention and treatment data. Methods and findings will ultimately Inform the design of more cost-effective Interventions for substance use and HIV.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Specialized Center (P50)
Project #
5P50DA010075-18
Application #
8525368
Study Section
Special Emphasis Panel (ZDA1-EXL-T)
Project Start
Project End
Budget Start
2013-09-01
Budget End
2014-08-31
Support Year
18
Fiscal Year
2013
Total Cost
$133,192
Indirect Cost
$28,194
Name
Pennsylvania State University
Department
Type
DUNS #
003403953
City
University Park
State
PA
Country
United States
Zip Code
16802
Gunlicks-Stoessel, Meredith; Mufson, Laura; Westervelt, Ana et al. (2016) A Pilot SMART for Developing an Adaptive Treatment Strategy for Adolescent Depression. J Clin Child Adolesc Psychol 45:480-94
Boone, Melissa R; Cook, Stephanie H; Wilson, Patrick A (2016) Sexual identity and HIV status influence the relationship between internalized stigma and psychological distress in black gay and bisexual men. AIDS Care 28:764-70
Russell, Michael A; Vasilenko, Sara A; Lanza, Stephanie T (2016) Age-Varying Links Between Violence Exposure and Behavioral, Mental, and Physical Health. J Adolesc Health 59:189-96
Vasilenko, Sara A (2016) Age-Varying Associations Between Nonmarital Sexual Behavior and Depressive Symptoms Across Adolescence and Young Adulthood. Dev Psychol :
Coffman, Donna L; Balantekin, Katherine N; Savage, Jennifer S (2016) Using Propensity Score Methods To Assess Causal Effects of Mothers' Dieting Behavior on Daughters' Early Dieting Behavior. Child Obes 12:334-40
Terry-McElrath, Yvonne M; O'Malley, Patrick M; Johnston, Lloyd D et al. (2016) Longitudinal patterns of marijuana use across ages 18-50 in a US national sample: A descriptive examination of predictors and health correlates of repeated measures latent class membership. Drug Alcohol Depend 171:70-83
Collins, Linda M; Kugler, Kari C; Gwadz, Marya Viorst (2016) Optimization of Multicomponent Behavioral and Biobehavioral Interventions for the Prevention and Treatment of HIV/AIDS. AIDS Behav 20 Suppl 1:S197-214
Evans-Polce, Rebecca; Schuler, Megan S (2016) Rates of past-year alcohol treatment across two time metrics and differences by alcohol use disorder severity and mental health comorbidities. Drug Alcohol Depend 166:194-201
Greenberg, Marisa; Smith, Rachel A (2016) Support Seeking or Familial Obligation: An Investigation of Motives for Disclosing Genetic Test Results. Health Commun 31:668-78
Li, Degui; Li, Runze (2016) Local Composite Quantile Regression Smoothing for Harris Recurrent Markov Processes. J Econom 194:44-56

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