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Liu, Hui; Powers, Daniel A. – Structural Equation Modeling: A Multidisciplinary Journal, 2007
This article applies growth curve models to longitudinal count data characterized by an excess of zero counts. We discuss a zero-inflated Poisson regression model for longitudinal data in which the impact of covariates on the initial counts and the rate of change in counts over time is the focus of inference. Basic growth curve models using a…
Descriptors: Smoking, Structural Equation Models, Longitudinal Studies, Regression (Statistics)
Stolzenberg, Lisa; D'Alessio, Stewart J. – Evaluation Review, 2007
The state of California passed the Smoke-Free Workplace Act on January 1, 1995. This legislation effectively banned indoor smoking in all public and private workplaces including restaurants. Many restaurant owners, especially owners of restaurants that served alcohol, opposed the ban for fear that their businesses would be affected adversely…
Descriptors: Income, Smoking, Dining Facilities, Class Size
Peer reviewedPotocky, Miriam; And Others – Journal of Consulting and Clinical Psychology, 1991
Compared 2 relapse crises from each of 49 ex-smokers using reversal theory constructs. Maintaining abstinence in both crises was consistently associated with being in serious-minded (telic) and conformist states. Smoking in both crises was consistently associated with being in playful (paratelic) or negativistic states. Findings suggest that…
Descriptors: Coping, Smoking, Theories
Peer reviewedObermayer, Jami L.; Riley, William T.; Jean-Mary, Jersino – Journal of American College Health, 2004
Although rates of smoking among college-aged students continue to rise, few interventions that focus on college smokers' unique motivations and episodic smoking patterns exist. The authors developed and evaluated a prototype program targeting college students that integrates Web and cell phone technologies to deliver a smoking-cessation…
Descriptors: College Students, Smoking
Kahn, Michael – Journal of Statistics Education, 2005
A dataset concerning the relationship between respiratory function (measured by forced expiratory volume, FEV) and smoking provides a powerful tool for investigating a wide variety of statistical matters. This paper gives a brief description of the problem, the data, and several issues and analyses suggested by the problem of quantifying the…
Descriptors: Smoking, Data, Statistics
Myers, Mark G.; Prochaska, Judith J. – Substance Abuse, 2008
Although tobacco use is reported by the majority of substance use disordered (SUD) youth, little work has examined tobacco focused interventions with this population. The present study is an initial investigation of the effect of a tobacco use intervention on adolescent SUD treatment outcomes. Participants were adolescents in SUD treatment taking…
Descriptors: Intervention, Smoking, Outcomes of Treatment, Adolescents
Elliot, Diane L.; Goldberg, Linn; Moe, Esther L.; DeFrancesco, Carol A.; Durham, Melissa B.; McGinnis, Wendy; Lockwood, Chondra – Journal of Alcohol and Drug Education, 2008
Adolescence and emerging adulthood are critical windows for establishing life-long behaviors. We assessed long-term outcomes of a prospective randomized harm reduction/health promotion program for female high school athletes. The intervention's immediate beneficial effects on diet pill use and unhealthy eating behaviors have been reported;…
Descriptors: Athletes, High School Students, Females, Intervention
Ashford, Janka; Van Lier, Pol A. C.; Timmermans, Maartje; Cuijpers, Pim; Koot, Hans M. – Journal of the American Academy of Child & Adolescent Psychiatry, 2008
A study was conducted to evaluate whether prenatal smoking was only related to externalizing or both internalizing and externalizing problems in children from childhood to early adolescence. Results indicated that maternal smoking during pregnancy is an accurate predictor of internalizing and externalizing psychopathology among children.
Descriptors: Smoking, Mothers, Infant Mortality, Pregnancy
Fletcher, Paula C.; Camblin, Amy – College Student Journal, 2008
Young adults between the ages of 20 to 24 are reported to have the highest smoking rates of any other age group. A questionnaire was used to assess the smoking practices and beliefs of 323 female university students. All participants were first year students entering university in a city where smoke-free legislation had been enacted. Results…
Descriptors: Age, Smoking, Young Adults, Beliefs
Varosanec-Skaric, Gordana – Clinical Linguistics & Phonetics, 2008
Based on voice-history data, a X[superscript 2] test was used to investigate the difference between students of acting (n = 45) and other students (n = 45). A t-test was used to calculate the differences in acoustic parameters between the two groups. It was expected that students of acting spent significantly more time practicing voice exercises,…
Descriptors: Comparative Analysis, Auditory Training, Articulation (Speech), College Students
McLeod, Kim; White, Victoria; Mullins, Robyn; Davey, Claire; Wakefield, Melanie; Hill, David – Journal of Genetic Psychology, 2008
The smoking behavior of friends is a major risk factor for adolescent smoking uptake. To explore the social context of smoking experimentation and consolidation with a particular focus on friends, the authors interviewed both members of 14 young adult identical twin pairs who were discordant for smoking. The different smoking status of twins was…
Descriptors: Twins, Smoking, Young Adults, Peer Groups
Peer reviewedBlinn-Pike, Lynn; Worthy, Sheri Lokken; Jonkman, Jeffrey N.; Smith, G. Rush – Adolescence (San Diego): an international quarterly devoted to the physiological, psychological, psychiatric, sociological, and educational aspects of the second decade of human life, 2008
The first purpose of this study was to report how many college students, 18 to 25 years of age, are classified as "emerging adults," "undecideds" or "adults." The second purpose was to determine the relationships between emerging adults versus adults and (a) background characteristics, (b) risk-taking behaviors; (c) sensation-seeking scores, and…
Descriptors: College Students, Low Income, Young Adults, Classification
Belstock, Sarah A.; Connolly, Gregory N.; Carpenter, Carrie M.; Tucker, Lindsey – Journal of American College Health, 2008
Objective: Advertising influences the health-related behaviors of college-aged individuals. Cigarette manufacturers aggressively market to young adults and may exploit their affinity for alcohol when creating advertisements designed to increase cigarettes' appeal. Internal tobacco industry documents reveal that cigarette manufacturers understood…
Descriptors: Advertising, Smoking, Young Adults, Marketing
Federal Interagency Forum on Child and Family Statistics, 2012
Each year since 1997, the Federal Interagency Forum on Child and Family Statistics has published a report on the well-being of children and families. Pending data availability, the Forum updates all 41 indicators annually on its Web site (http://childstats.gov) and alternates publishing a detailed report, "America's Children: Key National…
Descriptors: Crime, Well Being, Birth Rate, High School Graduates
Eaton, Danice K.; Kann, Laura; Kinchen, Steve; Shanklin, Shari; Flint, Katherine H.; Hawkins, Joseph; Harris, William A.; Lowry, Richard; McManus, Tim; Chyen, David; Whittle, Lisa; Lim, Connie; Wechsler, Howell – Centers for Disease Control and Prevention, 2012
Problem: Priority health-risk behaviors, which are behaviors that contribute to the leading causes of morbidity and mortality among youth and adults, often are established during childhood and adolescence, extend into adulthood, and are interrelated and preventable. Reporting Period Covered: September 2010-December 2011. Description of the…
Descriptors: Video Technology, Acquired Immunodeficiency Syndrome (AIDS), Urban Schools, High School Students

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