4: Depressive symptomatology as a longitudinal predictor of sexual risk behavior among U.S. high school students

2006 ◽  
Vol 38 (2) ◽  
pp. 109
Author(s):  
Jocelyn A. Lehrer ◽  
Lydia A. Shrier ◽  
Steven Gortmaker ◽  
Stephen Buka
Keyword(s):  
High School ◽  
High School Students ◽  
Risk Behavior ◽  
Sexual Risk ◽  
Sexual Risk Behavior ◽  
Depressive Symptomatology ◽  
School Students

scholarly journals Methamphetamine Use and Sexual Risk Behavior among High School Students in Cape Town, South Africa

2012 ◽  
Vol 21 (2) ◽  
pp. 181-191 ◽  
Author(s):  
Andreas Plüddemann ◽  
Alan J. Flisher ◽  
Rebecca McKetin ◽  
Charles D. Parry ◽  
Carl J. Lombard
Keyword(s):  
South Africa ◽  
High School ◽  
High School Students ◽  
Risk Behavior ◽  
Sexual Risk ◽  
Sexual Risk Behavior ◽  
Cape Town ◽  
School Students ◽  
Methamphetamine Use

scholarly journals Sexual Risk Behavior Differences Among Sexual Minority High School Students — United States, 2015 and 2017

2018 ◽  
Vol 67 (36) ◽  
pp. 1007-1011 ◽  
Author(s):  
Catherine N. Rasberry ◽  
Richard Lowry ◽  
Michelle Johns ◽  
Leah Robin ◽  
Richard Dunville ◽  
...  
Keyword(s):  
United States ◽  
High School ◽  
High School Students ◽  
Risk Behavior ◽  
Sexual Risk ◽  
Sexual Risk Behavior ◽  
Sexual Minority ◽  
School Students

Methamphetamine Use and Sexual Risk Behaviors in U.S. High School Students: Findings from a National Risk Behavior Survey

2007 ◽  
Vol 8 (2) ◽  
pp. 103-113 ◽  
Author(s):  
Andrew E. Springer ◽  
Ronald J. Peters ◽  
Ross Shegog ◽  
Donna L. White ◽  
Steven H. Kelder
Keyword(s):  
High School ◽  
High School Students ◽  
Risk Behavior ◽  
Sexual Risk ◽  
Risk Behaviors ◽  
Sexual Risk Behaviors ◽  
School Students ◽  
Methamphetamine Use

High School Students' Perceptions of AIDS Risk Behavior

1993 ◽  
Author(s):  
M. M. Gladis ◽  
J. L. Michela ◽  
H. J. Walter ◽  
R .D. Vaughan
Keyword(s):  
High School ◽  
High School Students ◽  
Risk Behavior ◽  
School Students ◽  
Aids Risk ◽  
Aids Risk Behavior

scholarly journals Electronic cigarette and cannabis use: results from the 2018 Maryland Youth Risk Behavior Survey

2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Amanda Luken ◽  
Johannes Thrul ◽  
Renee M. Johnson
Keyword(s):  
High School ◽  
High School Students ◽  
Alcohol Use ◽  
Risk Behavior ◽  
Emotional Distress ◽  
Cannabis Use ◽  
Cigarette Use ◽  
Youth Risk Behavior Survey ◽  
School Students ◽  
Youth Risk Behavior

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.

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