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Mathur, Charu; Stigler, Melissa H.; Erickson, Darin J.; Perry, Cheryl L.; Finnegan, Jonn R., Jr.; Arora, Monika; Reddy, K. Srinath – Health Education & Behavior, 2014
This study investigates socioeconomic differences in patterns and trends of tobacco consumption over time among youth in India. Additionally, the distribution of tobacco use risk factors across social class was examined. The data were derived from a longitudinal study of adolescents, Project Mobilizing Youth for Tobacco Related Initiatives.…
Descriptors: Foreign Countries, Smoking, Socioeconomic Status, Social Class
Carroll, Annemaree; Houghton, Stephen; Bourgeois, Amanda – Australian Journal of Learning Difficulties, 2014
A total of 197 Year 9 and 10 students, 74 of whom had learning difficulties (LD), from two high schools in Brisbane, the capital city of Queensland, Australia, self-reported their substance use. Seventeen substances, including two fictitious ones to detect over-reporting, were presented to participants for them to indicate their current usage,…
Descriptors: High School Students, Substance Abuse, Learning Disabilities, Drinking
Clark, Noreen M.; Zimmerman, Barry J. – Health Education & Behavior, 2014
Researchers interested in health-related learning have recently begun to study processes people use to self-regulate their health and their ability to prevent or control chronic disease. This paper represents a social cognitive view of self-regulation that involves three classes of influence on self-regulating behavior: personal, behavioral, and…
Descriptors: Social Cognition, Health Behavior, Prevention, Diseases
Carbonneau, Rene; Vitaro, Frank; Tremblay, Richard E. – Journal of Early Adolescence, 2018
The present study examined the association of paternal alcoholism with early adolescent boys' school adjustment and substance use, and its moderation by paternal absence, controlling for parents' socioeconomic resources. A community sample of 653 urban, low socioeconomic status (SES) families from Montreal, Canada, was assessed and information…
Descriptors: Student Adjustment, Substance Abuse, Urban Areas, Low Income
Pagani, Linda S.; Fitzpatrick, Caroline – Health Education & Behavior, 2016
Secondhand tobacco smoke is considered a developmental neurotoxicant especially given underdeveloped vital systems in young children. An ecological test of its negative influence on brain development can be made by examining the prospective association between early childhood household smoke exposure and later classroom behavior. Using a…
Descriptors: Smoking, Young Children, Environmental Influences, Student Behavior
Hoehn, Jessica L.; Riekert, Kristin A.; Borrelli, Belinda; Rand, Cynthia S.; Eakin, Michelle N. – Health Education Research, 2016
Objective: To identify barriers and motivators for reducing secondhand smoke exposure (SHSe) for families of African-American, low-income, urban children. Method: Audiotaped intervention sessions of 52 African-American caregivers of Head Start children who reported being a smoker and/or had at least one smoker in the home were randomly sampled…
Descriptors: Intervention, Health Education, Smoking, African American Family
Shiyko, Mariya P.; Li, Yuelin; Rindskopf, David – Structural Equation Modeling: A Multidisciplinary Journal, 2012
Intensive longitudinal data (ILD) have become increasingly common in the social and behavioral sciences; count variables, such as the number of daily smoked cigarettes, are frequently used outcomes in many ILD studies. We demonstrate a generalized extension of growth mixture modeling (GMM) to Poisson-distributed ILD for identifying qualitatively…
Descriptors: Smoking, Behavior Change, Longitudinal Studies, Data
Morton, Cory M.; Hoefinger, Heidi; Linn-Walton, Rebecca; Aikins, Ross; Falkin, Gregory P. – Journal of Drug Education, 2015
The current study analyzes a sample of questions about drugs asked online by youth who participated in the National Institute on Drug Abuse's (NIDA) "Drug Facts Chat Day." The types of drugs youth asked about were coded into 17 substance categories, and the topics they raised were coded into seven thematic categories. The top five…
Descriptors: Drug Abuse, Smoking, Drinking, Cocaine
Cheney, Marshall K.; Oman, Roy F.; Vesely, Sara K.; Aspy, Cheryl B.; Tolma, Eleni L. – American Journal of Health Education, 2015
Background: Youth assets protect adolescents from tobacco use, but their influence in young adulthood is unknown. Purpose: To determine the prospective influence of assets possessed in young adulthood with tobacco use the following year. Methods: Data from waves 4 and 5 from the Youth Asset Study (n = 450, ages 18-22 at wave 5) were used. Logistic…
Descriptors: Smoking, Intervention, Gender Differences, Youth Opportunities
Nonnemaker, James M.; Choiniere, Conrad J.; Farrelly, Matthew C.; Kamyab, Kian; Davis, Kevin C. – Health Education Research, 2015
This study reports consumer reactions to the graphic health warnings selected by the Food and Drug Administration to be placed on cigarette packs in the United States. We recruited three sets of respondents for an experimental study from a national opt-in e-mail list sample: (i) current smokers aged 25 or older, (ii) young adult smokers aged 18-24…
Descriptors: Health Promotion, Consciousness Raising, Smoking, Adults
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
Tolma, Eleni L.; Oman, Roy F.; Vesely, Sara K.; Aspy, Cheryl B.; Boeckman, Lindsay – Health Educator, 2013
The purpose of this study is to assess the relationship between youth assets and neighborhood environmental variables and future no-tobacco use among youth; examining differences by gender. Five waves of annual data were collected from 1,111 youth randomly selected to participate in the Youth Asset Study (YAS). A marginal logistic regression model…
Descriptors: Neighborhoods, Community Characteristics, Smoking, Correlation
Skeer, Margie R.; Ballard, Erica L. – Journal of Youth and Adolescence, 2013
Regular family meals have been shown to reduce adolescents' engagement in various risk behaviors. In this article, we comprehensively examine the literature to review the association between family meals and eight adolescent risk outcomes: alcohol, tobacco, marijuana and other drugs; aggressive and/or violent behaviors; poor school performance;…
Descriptors: Sexuality, Adolescents, Family Relationship, Eating Habits
Bordnick, Patrick S.; Yoon, Jin H.; Kaganoff, Eili; Carter, Brian – Research on Social Work Practice, 2013
Objectives: The cue-reactivity paradigm has been widely used to assess craving among cigarette smokers. Seeking to replicate and expand on previous virtual reality (VR) nicotine cue-reactivity research on nontreatment-seeking smokers, the current study compared subjective reports of craving for cigarettes when exposed to smoking (proximal and…
Descriptors: Cues, Smoking, Comparative Analysis, Help Seeking
Baldwin, Wendy – Journal of Research on Adolescence, 2013
Adolescence is a critical developmental stage and an opportunity to set a positive course for future health and well-being. Adolescence may be the "last best chance" to address some of the behaviors that can have significant repercussions for an individual's health trajectory, specifically the path to noncommunicable diseases (NCDs). Why should…
Descriptors: Chronic Illness, Disease Control, Adolescents, Health Behavior

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