Abstract:Substance use and violence co-occur among adolescents. However, the extant literature focuses on the substance use behaviors of perpetrators of violence and not on victims. This study identifies patterns of school victimization and substance use and how they co-occur. The California Healthy Kids Survey was used to identify latent classes/clusters of school victimization patterns and lifetime and frequency of recent (past month) alcohol, tobacco, and marijuana use (N =419,698). Demographic characteristics (age,… Show more
“…We found that Hispanic and Asian youth were less likely to be concurrent users of some typologies than White adolescents (A+C and A+M+C) and null effects for the other typologies (A+M, M+C). These findings contradict previous research suggesting that Hispanic youth are at higher risk for concurrent use than their White peers (Connell et al, 2009; Gilreath et al, 2014; Gilreath et al, 2015), as well as research suggesting Asian youth are at lower risk for A+M and M+C than Whites and other racial/ethnic groups (Lanza et al, 2010; Ramo et al, 2012). Native American youth were found not to differ from Whites on use of any concurrent substance-use typology.…”
Section: Discussioncontrasting
confidence: 99%
“…In general, male adolescents report higher rates of daily alcohol, marijuana, and cigarette use than female adolescents (Lanza et al, 2015; Miech et al, 2016). As for concurrent use, the most consistent sex effect has been found for occasional concurrent users (i.e., lifetime users of alcohol, marijuana and cigarettes, with little recent concurrent use), who are more likely to be female than male (Connell et al, 2010; Gilreath et al, 2014; Gilreath et al, 2015). However, findings have been mixed regarding sex differences in the frequent/recent use of alcohol, marijuana and cigarettes.…”
Section: Introductionmentioning
confidence: 97%
“…However, findings have been mixed regarding sex differences in the frequent/recent use of alcohol, marijuana and cigarettes. Gilreath et al (2014) and Gilreath et al (2015) found that males were more likely to be frequent/current users of A+M+C than females, whereas Connell et al (2010) found the opposite sex effect. Sex differences have also been equivocal regarding M+C use (Ramo et al, 2012); whereas some studies have found that male adolescents are more likely to be M+C users than females (Guxens et al, 2007; Victoir et al, 2007), others have found the opposite sex effect (Lanza et al, 2015; Suris et al, 2007), or no sex effect (Aung et al, 2004).…”
Section: Introductionmentioning
confidence: 98%
“…Some researchers have noted no difference in substance use typology between White and Hispanic adolescents (Lanza et al, 2010), whereas several others have suggested that Hispanic youth are more likely to be concurrent substance users than Whites (Connell et al, 2009; Gilreath et al, 2014; Gilreath et al, 2015). Among African American adolescents, several studies have documented a lower prevalence of concurrent substance use compared to White adolescents (Connell et al, 2009; Gilreath et al, 2015; Lanza et al, 2010; Tomczyk et al, 2016).…”
Substance use during adolescence is a public health concern due to associated physical and behavioral health consequences. Such consequences are amplified among concurrent substance users. Although sex and racial/ethnic differences in single-substance use have been observed, the current literature is inconclusive as to whether differences exist in the prevalence of concurrent use. The current study used data from the 2011–2014 National Survey on Drug Use and Health to examine typologies (single and concurrent patterns) of alcohol, marijuana, and cigarette use among current adolescent users age 12–18 by sex and race/ethnicity. Participants were 14,667 White, Hispanic, African American, Asian, and Native American adolescents. The most common typology was alcohol only, followed by concurrent use of alcohol and marijuana. Weighted prevalence estimates indicated that adolescent females were more likely to be current users of alcohol only, whereas male adolescents were more likely to belong to all other typologies. Compared to Whites, racial/ethnic minorities had larger proportions of marijuana only users and were generally less likely than or equally likely to be concurrent users. One exception was for African American adolescents, who were more likely to be alcohol and marijuana users than their White counterparts. Results suggest that concurrent substance use is common among U.S. adolescents, making up over 40% of past-month use, but typologies of use vary by sex and race/ethnicity. Preventive interventions should consider all typologies of use rather than only single substance exposures and address patterns of use that are most pertinent to adolescents based on sex and race/ethnicity.
“…We found that Hispanic and Asian youth were less likely to be concurrent users of some typologies than White adolescents (A+C and A+M+C) and null effects for the other typologies (A+M, M+C). These findings contradict previous research suggesting that Hispanic youth are at higher risk for concurrent use than their White peers (Connell et al, 2009; Gilreath et al, 2014; Gilreath et al, 2015), as well as research suggesting Asian youth are at lower risk for A+M and M+C than Whites and other racial/ethnic groups (Lanza et al, 2010; Ramo et al, 2012). Native American youth were found not to differ from Whites on use of any concurrent substance-use typology.…”
Section: Discussioncontrasting
confidence: 99%
“…In general, male adolescents report higher rates of daily alcohol, marijuana, and cigarette use than female adolescents (Lanza et al, 2015; Miech et al, 2016). As for concurrent use, the most consistent sex effect has been found for occasional concurrent users (i.e., lifetime users of alcohol, marijuana and cigarettes, with little recent concurrent use), who are more likely to be female than male (Connell et al, 2010; Gilreath et al, 2014; Gilreath et al, 2015). However, findings have been mixed regarding sex differences in the frequent/recent use of alcohol, marijuana and cigarettes.…”
Section: Introductionmentioning
confidence: 97%
“…However, findings have been mixed regarding sex differences in the frequent/recent use of alcohol, marijuana and cigarettes. Gilreath et al (2014) and Gilreath et al (2015) found that males were more likely to be frequent/current users of A+M+C than females, whereas Connell et al (2010) found the opposite sex effect. Sex differences have also been equivocal regarding M+C use (Ramo et al, 2012); whereas some studies have found that male adolescents are more likely to be M+C users than females (Guxens et al, 2007; Victoir et al, 2007), others have found the opposite sex effect (Lanza et al, 2015; Suris et al, 2007), or no sex effect (Aung et al, 2004).…”
Section: Introductionmentioning
confidence: 98%
“…Some researchers have noted no difference in substance use typology between White and Hispanic adolescents (Lanza et al, 2010), whereas several others have suggested that Hispanic youth are more likely to be concurrent substance users than Whites (Connell et al, 2009; Gilreath et al, 2014; Gilreath et al, 2015). Among African American adolescents, several studies have documented a lower prevalence of concurrent substance use compared to White adolescents (Connell et al, 2009; Gilreath et al, 2015; Lanza et al, 2010; Tomczyk et al, 2016).…”
Substance use during adolescence is a public health concern due to associated physical and behavioral health consequences. Such consequences are amplified among concurrent substance users. Although sex and racial/ethnic differences in single-substance use have been observed, the current literature is inconclusive as to whether differences exist in the prevalence of concurrent use. The current study used data from the 2011–2014 National Survey on Drug Use and Health to examine typologies (single and concurrent patterns) of alcohol, marijuana, and cigarette use among current adolescent users age 12–18 by sex and race/ethnicity. Participants were 14,667 White, Hispanic, African American, Asian, and Native American adolescents. The most common typology was alcohol only, followed by concurrent use of alcohol and marijuana. Weighted prevalence estimates indicated that adolescent females were more likely to be current users of alcohol only, whereas male adolescents were more likely to belong to all other typologies. Compared to Whites, racial/ethnic minorities had larger proportions of marijuana only users and were generally less likely than or equally likely to be concurrent users. One exception was for African American adolescents, who were more likely to be alcohol and marijuana users than their White counterparts. Results suggest that concurrent substance use is common among U.S. adolescents, making up over 40% of past-month use, but typologies of use vary by sex and race/ethnicity. Preventive interventions should consider all typologies of use rather than only single substance exposures and address patterns of use that are most pertinent to adolescents based on sex and race/ethnicity.
“…Participants respond on a 5 point scale ranging from strongly disagree to strongly agree. The CHKS has excellent psychometric properties (Gilreath, Astor, Estrada, Johnson, Benbenishty, & Unger, 2014;Sharkey, You, & Schnoebelen, 2008).…”
School bullying is a worldwide problem. Although previous studies examined the association between different lifestyle behaviors and bullying victimization, the complex co‐occurrence of these behaviors was not identified, and their association with the risk of being bullied remains unclear. We aimed to identify the behavioral patterns of adolescents and to explore their association with bullying victimization. This cross‐sectional study employed data from the “Surveillance for Common Diseases and Health Risk Factors among Students” project implemented in Jiangsu Province of China in 2019, and a total of 25,379 school‐enrolled students were included. We used a latent class analysis to identify behavioral patterns and a regression mixture model to explore various demographic characteristics, such as age, sex, and family structure in relation to bullying victimization across different patterns. We considered respondents having targeted behaviors, including smoking, alcohol consumption, illicit drug use, sugar consumption, no fruit consumption, low physical activity, electronic media use, and insufficient sleep. Four behavioral patterns were identified, including the “adolescents without apparent targeted behaviors” (19.65%), “substance and electronic media users” (12.76%), “typical electronic media users” (54.49%), and “typical substance users” (8.10%). The risk of being bullied was the highest in the “substance and electronic media users” (probability: 0.33), tripled that in “adolescents without apparent targeted behaviors” (odds ratio: 3.60, 95% confidence interval: 3.01–4.30). Risk of being bullied was reduced for those "substance and electronic media users" living with a nuclear family. Behavioral patterns and their association with being bullied differ between groups of school‐aged adolescents. To better inform decision‐making based on the current real‐world findings, the implementation of bullying prevention programs could target specific behavioral patterns.
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