Sex specific trajectories in cigarette smoking behaviors among students participating in the Unplugged school-based randomized control trial for substance use prevention

Gabrhelík, Roman; Duncan, Alexandra; Lee, Myong‐Hwa; Šťastná, Lenka; Furr‐Holden, C. Debra M.; Miovský, Michal

doi:10.1016/j.addbeh.2012.05.023

Cited by 23 publications

(16 citation statements)

References 50 publications

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“…In fact, other longitudinal studies of adolescents have found more rapid increases in nicotine use across ages among females (Gabrhelik et al, 2012; Gutman et al, 2011). Other researchers also showed that girls developed signs of nicotine dependence at a faster rate (DiFranza et al, 2002; Thorner et al, 2007).…”

Section: Discussionmentioning

confidence: 95%

Gender differences in the developmental trajectories of multiple substance use and the effect of nicotine and marijuana use on heavy drinking in a high-risk sample

Buu

Dąbrowska

Heinze

et al. 2015

Addictive Behaviors

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Background Heavy drinking is highly comorbid with nicotine and marijuana use among young adults. Yet, our knowledge about the longitudinal effects of nicotine and marijuana use (including onset timing and quantity/frequency) on heavy drinking and whether the effects vary by gender is very limited. This study aims to characterize gender-specific developmental trajectories of multiple substance use and examine gender differences in the effects of nicotine and marijuana use on heavy drinking. Methods We conducted secondary analysis on 8 waves of data from 850 high risk youth who were recruited as ninth graders with low GPA in an economically disadvantaged school district in the Midwest, and were followed up annually to young adulthood. Onset ages and quantity/frequency of multiple substance use were assessed by a self-report questionnaire at each wave. The time-varying effect model and linear mixed model were adopted for statistical analysis. Results Males’ levels of heavy drinking, nicotine use, and marijuana use tended to grow persistently from adolescence to emerging adulthood. Females, on the other hand, only gradually increased their nicotine use across time while maintaining low levels of heavy drinking and marijuana use. Controlling for the early onset status of alcohol use, early onset statuses of nicotine use and marijuana use both added additional risk for heavy drinking; late onset marijuana users were also at higher risk for heavy drinking than nonusers of marijuana. Controlling for substance use onset statuses, higher quantity/frequency of nicotine and marijuana use both contributed to more involvement in heavy drinking. We also found that the effect of nicotine use quantity on heavy drinking was greater among males. Conclusions Our study demonstrates the longitudinal effects of onset timing and quantity/frequency of nicotine and marijuana use on heavy drinking. Our analysis of gender differences also identifies female youth’s nicotine use and male youth’s co-use of nicotine and alcohol as two important areas for future prevention and intervention work.

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Section: Discussionmentioning

confidence: 95%

Gender differences in the developmental trajectories of multiple substance use and the effect of nicotine and marijuana use on heavy drinking in a high-risk sample

Buu

Dąbrowska

Heinze

et al. 2015

Addictive Behaviors

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“…Other community-based interventions have shown stronger effects for males and/or iatrogenic effects for females but not males (Flay et al 2004; Perry et al 2003; Yin and Ware 2000). These hypotheses are speculative, however, and should be tested using mediational analyses (Gabrhelik et al 2012) to examine if changes in particular risk factors are associated with differential effects across gender. Finally, some behaviors may be more prevalent among males and, thus, have more room to decline in response to an intervention.…”

Section: Discussionmentioning

confidence: 99%

Effects of Communities That Care on Males’ and Females’ Drug Use and Delinquency 9 Years After Baseline in a Community‐Randomized Trial

Oesterle

Hawkins

Kuklinski

et al. 2015

American J of Comm Psychol

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This study tested sustained effects of the Communities That Care (CTC) prevention system on health-risking behaviors 9 years after baseline in a community-randomized trial involving 24 towns in seven states. Earlier analyses found sustained effects on abstinence from drug use and delinquency through Grade 12 in a panel of fifth graders. At age 19, 91 % (n = 3986) of the living panel completed the survey. Data were analyzed using generalized linear mixed models. The prevalence of lifetime and current substance use and delinquency were the primary outcomes. Secondary outcomes included substance use disorders, major depression, suicidality, educational attainment, and sexual risk behaviors. CTC had a significant overall effect across lifetime measures of the primary outcomes for males, but not for females or the full sample, although lifetime abstinence from delinquency in the full sample was significantly higher in CTC communities (ARR = 1.16). Males in CTC communities also continued to show greater lifetime abstinence from cigarette smoking (ARR = 1.22). CTC did not have a sustained effect on current substance use and delinquency nor did it improve the secondary outcomes at age 19 for either gender. Communities using CTC may need to extend their prevention planning to include the high school years to sustain effects on drug use and delinquency beyond high school for both genders.

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“…This study represents the first longitudinal analysis effort identifying developmental trajectories of cigarette smoking with the distinct developmental courses of smoking initiation and progression in Chinese early adolescents from age 12 to 16 years. In prior studies among Western populations, multiple distinct trajectories have been reported (Brook et al, 2008;Chassin, Presson, Rose, & Sherman, 2001;Chassin et al, 2008;Colder et al, 2001;Gabrhelik et al, 2012;Metzger et al, 2012;Morin, Rodriguez, Fallu, Maiano, & Janosz, 2012;Orlando et al, 2004;White et al, 2002). Colder et al (2001) examined smoking behavior during the period of early to middle adolescence (aged 11-16 years) and identified five distinct trajectory patterns that were labeled as stable puffers, stable light smokers, late slow escalators, late moderate escalators, and early rapid escalators (Colder et al, 2001).…”

Section: Discussionmentioning

confidence: 99%

Developmental Trajectories of Cigarette Use and Associations With Multilayered Risk Factors Among Chinese Adolescents

Xie¹,

Palmer²,

Li³

et al. 2013

Nicotine & Tobacco Research

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introduction: We aimed to identify developmental trajectories of cigarette use and risk factors associated with the distinct developmental courses of smoking in Chinese early adolescents from age 12 to 16 years. Methods: Analysis was conducted with secondary data from a longitudinal, prospective cohort of 3,521 Chinese adolescents randomly selected from 4 rural and 7 urban middle schools in Wuhan, China. A group-based growth mixture modeling approach was adopted to identify developmental trajectories of cigarette use. Multilayered intrapersonal (e.g., attitudes toward smoking) and interpersonal (e.g., parental smoking and perceived parental disapproval of smoking) risk factors selected from an ecological perspective were prospectively linked to the identified patterns of smoking trajectory. results: Three trajectory patterns were identified from the whole cohort: nonsmokers (48.7%), stable light/occasional smokers (48.6%), and accelerating smokers (2.7%). After adjustments for gender, urban residence, and family socioeconomic status, adolescents with higher levels of problems in parent-child relationships and family disharmony, higher perceived norms of peer smoking, higher proportion of good friend smoking, having more troubles with teachers, poorer academic performance, and reporting more frequent depressive symptoms were significantly more likely to be in the trajectory group of either stable light/ occasional smokers or accelerating smokers than in the group of nonsmokers. The probability of being in the accelerating smoking trajectory group was positively and significantly related to parental smoking and lack of school bonding. Conclusions: Study findings help to advance knowledge of the distinct developmental courses of smoking behavior and their associations with multilayered risk factors among Chinese early adolescents.

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Sex specific trajectories in cigarette smoking behaviors among students participating in the Unplugged school-based randomized control trial for substance use prevention

Cited by 23 publications

References 50 publications

Gender differences in the developmental trajectories of multiple substance use and the effect of nicotine and marijuana use on heavy drinking in a high-risk sample

Gender differences in the developmental trajectories of multiple substance use and the effect of nicotine and marijuana use on heavy drinking in a high-risk sample

Effects of Communities That Care on Males’ and Females’ Drug Use and Delinquency 9 Years After Baseline in a Community‐Randomized Trial

Developmental Trajectories of Cigarette Use and Associations With Multilayered Risk Factors Among Chinese Adolescents

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