Megan Patrick

Extreme Binge Drinking during the Transition to Adulthood
R01 AA023504
4/1/2015-3/31/2018
Role: Principal Investigator

This project will use existing national prospective data from Monitoring the Future (MTF) to examine the development of extreme binge drinking (i.e., consuming 10 or 15 or more drinks in a row) across young adulthood. Specific aims are to (1) examine how extreme binge drinking varies based on patterns of college enrollment and attainment, (2) document normative age-related changes in extreme binge drinking across young adulthood, and the extent to which they vary based on social role statuses and demographic indicators and are associated with trajectories of other substance use, and (3) investigate concurrent associations between reasons for drinking and extreme binge drinking behaviors.

Dynamic Links Between Risk Factors, Substance Use and Consequences: Ages 18-35
R01 DA037902
4/2015 – 12/2018
NIH/NIDA
Role: Principal Investigator

This project will move the field toward examining developmental changes in the salience of risk factors across the life course and toward documenting the mechanisms through which long-term substance use consequences emerge. Results will advance our understanding of substance use behaviors with critical health impacts, and will inform the development of interventions that take into account individual behaviors, risk factors, and social roles to find strategies for reducing the negative consequences of drug use in young adulthood.

Intensive Daily Measurement of Simultaneous Alcohol and Marijuana Use in a High-Risk Community Sample of Young Adults: Impacts on Acute and Longer-term Use and Consequences
R01 AA025037
8/1/2016-7/31/2021
Role: Multiple Principal Investigator (with Christine Lee, University of Washington)

The current project is to collect and analyze intensive daily (twice daily for 16 weeks across two years) and longitudinal (annually across three years) data from a high-risk community sample of young adult simultaneous alcohol and marijuana (SAM) users, aged 18-25, in the state of Washington. Specific aims of this application are to: 1) examine whether SAM use poses additional alcohol-related risks, compared to using alcohol without marijuana, at the daily level; 2) understand the motivations, intentions, and situations that make SAM more likely and more consequential among young adults; 3) model the longer-term associations between SAM use and substance use and health consequences across 3 years; and 4) examine potential moderators of these relationships.

Developmental Models of High-Risk Alcohol Use & Social Roles in Young Adulthood
R01 AA022087
Lee (PI)
2/2014 – 1/2019
NIH/NIAAA
Role: Co-Investigator

The long-term objectives of the proposed research are to extend prior research by taking a finer-grained approach with monthly assessments to 1) understand the twists and turns in drinking as they happen as a function of changes in roles and contexts in real time, how different characteristics of social roles influence these relationships, and whom may be most at risk (i.e., moderators of these associations) and 2) test and extend current developmental models of health risks. Understanding how YAs navigate different and simultaneous role transitions and identifying when and for who risk for use and consequences is at its peak can inform interventions by identifying potential mechanisms and optimal timing.

Monitoring the Future: Drug Use and Lifestyles of American Youth
R01 DA001411
Miech (PI)
5/2017 – 3/2022
NIH/NIDA
Role: Co-Investigator

Monitoring the Future provides the nation with annual indicators of the use of licit and illicit drugs, and related attitudes and beliefs. MTF is an ongoing epidemiological and etiological research and reporting project begun in 1975. In addition to being a basic research study, MTF has become one of the nation’s most relied upon sources of information on emerging trends in illicit drug, alcohol, and tobacco use among American adolescents, college students, and young and middle-aged adults. Nationally representative samples of 8th-, 10th-, and 12th-grade students (about 47,000 students in 400 schools per year) will be surveyed annually from 2017 to 2022.

Monitoring the Future: A Cohort-Sequential Panel Study of Drug Use, Ages 19–60
R01 DA016575
Schulenberg (PI)
5/2017 – 3/2022
NIH/NIDA
Role: Co-Investigator

An ongoing series of cohort-sequential panel studies to examine changes in substance use and related factors across the life course and across historical period, using large nationally representative samples of high school graduates, from the end of high school through age 60. The study examines social and environmental factors and processes, including life-course transitions that may explain change. The target samples are drawn randomly from graduating classes of high school senior participants from the Monitoring the Future surveys.

Personalized mobile app intervention: Challenging alcohol expectancies to reduce high-risk alcohol use and consequences
R01 AA016979
Lee (PI)
9/2017 – 8/2022
NIH/NIAAA
Role: Co-Investigator

Specific aims are to examine the efficacy of the mobile alcohol expectancy challenge (mAEC) intervention, expectancies as mediators of intervention efficacy, and whether the intervention weakens the daily link between positive expectancies and consequences and strengthens the daily link between negative expectancies and consequences. The mAEC intervention has the potential to have a major impact on the field of alcohol intervention because it will be scalable and easily disseminated given its use of mobile technology and empirically-supported approach that targets individuals’ alcohol expectancies and capitalizes on daily variability in expectancies and drinking.

The Impact of Tobacco Control Policies on Health Equity in the United States
R01 CA214787
Fleischer (PI)
12/2017 – 11/2022
NIH/NCI
Role: Co-Investigator

The proposed project will: (1) determine how tobacco control policies influence disparities in smoking initiation among youth; (2) determine how tobacco control policies influence disparities in smoking cessation among adults; and (3) predict which combination of policies are needed to reduce health disparities in tobacco-attributable mortality over time using a tobacco policy simulation model.