Pre-teen alcohol use initiation and suicide attempts among middle and high school students: Findings from the 2006 Georgia Student Health Survey

2010 ◽  
Vol 35 (5) ◽  
pp. 452-458 ◽  
Author(s):  
Monica H. Swahn ◽  
Robert M. Bossarte ◽  
Jeffrey S. Ashby ◽  
Joel Meyers
2013 ◽  
Vol 9 (4) ◽  
pp. 997-1015 ◽  
Author(s):  
Sukkyung You ◽  
Michael J. Furlong ◽  
Erin Dowdy ◽  
Tyler L. Renshaw ◽  
Douglas C. Smith ◽  
...  

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Amanda Luken ◽  
Johannes Thrul ◽  
Renee M. Johnson

Abstract Objective To determine the relationship between lifetime e-cigarette use and current cannabis use among youth. Our analyses accounted for county variability, in addition to student-level covariates. Methods This study examined responses from high school students on a state-level population survey, the 2018 Maryland Youth Risk Behavior Survey/Youth Tobacco Survey, a cross-sectional, complex survey sample. Of participating students, final analyses included an unweighted sample of 41,091 9th to 12th grade students who provided complete reports for measured variables. Analyses with survey weights were conducted between August 2019 and May 2020. A multivariable logistic regression was conducted to investigate the association between lifetime e-cigarette use and current (past 30-day) cannabis use, after controlling for county, lifetime cigarette use, current (past 30-day) alcohol use, emotional distress, and demographics. Results Lifetime e-cigarette use significantly increased the odds of current cannabis use among Maryland high school students (aOR = 6.04; 95% CI 5.27, 6.93). Other significant risk factors for current cannabis use included lifetime cigarette use (aOR 2.23, 95% CI 1.86, 2.68) and current alcohol use (aOR 5.21, 95% CI 4.42, 6.14). Significantly higher odds of current cannabis use were also found among older high school students, males, non-Hispanic Blacks and students identifying as other race, and those reporting emotional distress. Conclusions Lifetime e-cigarette use among Maryland high school students is strongly associated with current cannabis use when including counties as a covariate. Non-significant county differences, however, suggest smaller geographical units may be required to control for variability. Efforts should focus on reducing youth e-cigarette use to decrease cannabis use. Maryland’s recent implementation of Tobacco 21 and a ban on flavored e-cigarettes will be of interest for future evaluations.


1983 ◽  
Vol 120 (1) ◽  
pp. 139-140 ◽  
Author(s):  
Charles Holmgren ◽  
B. J. Fitzgerald ◽  
Roderick S. Carman

2005 ◽  
Vol 35 (3) ◽  
pp. 201-216
Author(s):  
Alison Padget ◽  
Mary Lou Bell ◽  
Stephen R. Shamblen ◽  
Chris Ringwalt

This study examined the impact on high school students who taught elementary students MADD's Protecting You/Protecting Me (PY/PM), an alcohol use prevention and vehicle safety program. High school students ( N = 188) enrolled in a peer helping course completed surveys before and after teaching PY/PM, and a comparison group of peer helper students ( N = 141) from matched schools completed surveys at the same times. Results indicated that, relative to the comparison group, those exposed to PY/PM gained knowledge of alcohol's effects, increased their perceptions of the risks of high levels of alcohol use, gained teaching skills, and showed less frequent episodes of binge drinking. No effects were found for attitudes toward future drinking, perceptions of the risk of low levels of alcohol use, alcohol use, or vehicle safety. This cross-age prevention program may be successful in changing high school students' knowledge, attitudes, and behaviors regarding high levels, but not low levels, of alcohol use.


2012 ◽  
Vol 40 (8) ◽  
pp. 1255-1262 ◽  
Author(s):  
Penprapa Siviroj ◽  
Karl Peltzer ◽  
Supa Pengpid ◽  
Yongyuth Yungyen ◽  
Achara Chaichana

We assessed drinking motives and sensation seeking in relation to alcohol use in a sample of 634 Thai high school students. Results indicate that 55.8% had never used alcohol, and of the lifetime users, 33.5% were current (past month) alcohol users and 26.5% drink until they get drunk. Coping and social motives were positive predictors for drinking frequency, and coping motives were a predictor for hazardous (drinking to get drunk) drinking. Sensation seeking was associated with drinking frequency and hazardous drinking. Within the different sensation seeking components, disinhibition was the strongest predictor for drinking frequency, followed by experience seeking and boredom susceptibility. Boredom susceptibility was the strongest predictor for hazardous drinking. Coping, social motives, and sensation seeking should be taken into account when designing alcohol use prevention strategies for Thai adolescents.


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