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Showing 1 to 15 of 74 results Save | Export
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Hicks, Terrell A.; Bustamante, Daniel; Bountress, Kaitlin E.; Adkins, Amy E.; Svikis, Dace S.; Gillespie, Nathan A.; Dick, Danielle M.; Amstadter, Ananda B. – Journal of American College Health, 2023
Objective: To examine the prevalence and correlates of lifetime cannabis use (i.e., experimental [use 1-5 times] and non-experimental [use [greater than or equal to] 6 times]) in relation to interpersonal trauma (IPT) above and beyond relevant covariates. Participants: A large (n = 9,889) representative sample of college students at an urban…
Descriptors: Incidence, Correlation, Marijuana, Drug Use
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Katelyn F. Romm; Amy M. Cohn; Laura A. Beebe; Carla J. Berg – Health Education Research, 2023
Little research has examined mechanisms driving cannabis use disparities among sexual minority (SM; versus heterosexual) young adults (YAs). Participants were US YA women (N = 1345; 24.8% bisexual, 6.1% lesbian) and men (N = 998: 8.9% bisexual, 13.8% gay). Bivariate analyses examined associations between sexual orientation (heterosexual,…
Descriptors: Marijuana, Drug Use, LGBTQ People, Young Adults
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Arango-Paternina, Carlos Mario; Lema-Gómez, Lucía; Eusse-López, Cleiber; Petro, Jorge Luis; Petro-Petro, Jose; López-Sánchez, Milton; Watts-Fernández, Willinton; Perea-Velásquez, Fabio – Merrill-Palmer Quarterly: Journal of Developmental Psychology, 2022
This is a cross-sectional study conducted to examine the associations between the composition of friendship networks and health-related behaviors of 988 adolescents (11-18 years old) from Colombia. Participants were asked to self-report behaviors and to nominate their best friends. "Egocentric network analysis" (i.e., analysis of…
Descriptors: Friendship, Health Behavior, Foreign Countries, Social Networks
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Wendy DeYoung; Cassie N. Constine; Kaigang Li – Journal of American College Health, 2024
Objective: To compare physical activity (PA), sitting time, and substance use pre-COVID-19 and during COVID-19 pandemic among US college students. Participants: 484 students from a large Western university (20.6 ± 1.4 years, 80.0% female) were recruited. Methods: Self-reported online surveys were completed in June-August 2020. T-tests and…
Descriptors: Physical Activity Level, Health Behavior, Substance Abuse, College Students
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Tekesa, Tariku Woldemikael – Online Submission, 2020
This research investigates psychoactive substance abuse that causes significant health problems in its various chemical effects. It also determines the patterns of its use and level of risk of harm assessment to humans. Harmful determination is dependent upon patterns used in psychoactive substance and its associated level of risk among high…
Descriptors: High School Students, Substance Abuse, Screening Tests, Drinking
Megan E. Patrick; Richard A. Miech; Lloyd D. Johnston; Patrick M. O’Malley – Institute for Social Research, 2024
Monitoring the Future (MTF) is an ongoing research program conducted at the University of Michigan's Institute for Social Research under a series of investigator-initiated research grants from the National Institute on Drug Abuse beginning in 1975. The integrated MTF study includes annual surveys of nationally-representative samples of 8th, 10th,…
Descriptors: Drug Abuse, Substance Abuse, Adults, Young Adults
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Orsini, Muhsin Michael; Milroy, Jeffrey J.; Wyrick, David L.; Sanders, Lindsey – Journal of Child & Adolescent Substance Abuse, 2018
The purpose of this article is to investigate polysubstance use among college student-athletes and determine whether use is independent of gender, race, season status, and athletic division. College student-athletes responded to questions related to their past-30-day use of alcohol, tobacco, marijuana, and prescription drugs. Findings suggest that…
Descriptors: Athletes, College Students, College Athletics, Intercollegiate Cooperation
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Lynch, Victoria; Clemans-Cope, Lisa; Winiski, Emma – Journal of Child & Adolescent Substance Abuse, 2020
Among adolescents (ages 12-17) and young adults (ages 18-25) enrolled in Medicaid or the Children's Health Insurance Program (CHIP), 0.5% of adolescents had opioid use disorder (OUD), 3.0% had other risky opioid use, 3.4% had another substance use disorder, and 21.6% used other substances without disorder. Compared to adolescents, the prevalence…
Descriptors: Narcotics, Risk, Drug Abuse, Health Behavior
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Scheier, Lawrence M.; Komarc, Martin – Journal of Drug Education, 2020
We used data from the 2014 National Youth Tobacco Survey to examine patterns of cigarette smoking behavior and tobacco use. In light of the recent upsurge in e-cigarette use, we modeled current use and future intentions to use vape products along with combustible cigarette smoking and other tobacco products (i.e., cigars, cigarillos, chew, snuff,…
Descriptors: Smoking, Electronic Equipment, Intention, Health Behavior
Johnston, Lloyd D.; Schulenberg, John E.; Patrick, Megan E.; O'Malley, Patrick M.; Bachman, Jerald G.; Miech, Richard A. – Institute for Social Research, 2021
This occasional paper presents subgroup findings from the Monitoring the Future (MTF) study on levels of, and trends in, the use of a number of substances for nationally representative samples of high school graduates ages 19-30, "Monitoring the Future National Survey Results on Drug Use, 1975-2018. Volume II, College Students & Adults…
Descriptors: Drug Use, Drug Abuse, Trend Analysis, High School Graduates
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Jacobs, Wura; Goodson, Patricia; Barry, Adam E.; McLeroy, Kenneth R. – Journal of School Health, 2016
Background: Despite previous research indicating an adolescents' alcohol, tobacco, and other drug (ATOD) use is dependent upon their sex and the sex composition of their social network, few social network studies consider sex differences and network sex composition as a determinant of adolescents' ATOD use behavior. Methods: This systematic…
Descriptors: Gender Differences, Social Networks, Drinking, Smoking
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Di Bona, Vito Lorenzo; Erausquin, Jennifer Toller – Journal of Child & Adolescent Substance Abuse, 2014
Purpose: Prevalence estimates for drug use health risk behaviors among high school students are widely available, but relatively few studies describe how and to what extent these risk behaviors occur together. Furthermore, little research has examined whether the co-occurrence of health risk behaviors varies by key demographic characteristics such…
Descriptors: Drug Use, Risk, Health Behavior, Surveys
Miech, Richard A.; Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E.; Patrick, Megan E. – Institute for Social Research, 2020
Substance use is a leading cause of preventable morbidity and mortality; it is in large part why, among 17 high-income nations, people in the U.S. have the highest probability of dying by age 50. Substance use is also an important contributor to many social ills including child and spousal abuse, violence more generally, theft, suicide, and more;…
Descriptors: Substance Abuse, Drug Abuse, High School Students, Grade 8
Schulenberg, John E.; Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Miech, Richard A.; Patrick, Megan E. – Institute for Social Research, 2020
The present volume presents new 2019 findings from the U.S. national Monitoring the Future (MTF) follow-up study concerning substance use among the nation's college students and adults from ages 19 through 60. This report includes 2019 prevalence estimates on numerous illicit and licit substances, examines how substance use differs across this age…
Descriptors: Substance Abuse, Drug Abuse, At Risk Persons, Health Behavior
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E.; Miech, Richard A. – Institute for Social Research, 2015
Monitoring the Future (MTF), now in its 40th year, is a research program conducted at the University of Michigan's Institute for Social Research under a series of investigator-initiated research grants from the National Institute on Drug Abuse--one of the National Institutes of Health. The study comprises several ongoing series of annual surveys…
Descriptors: National Surveys, Drug Use, Incidence, Beliefs
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