Regulatory Strategies for Preventing and Reducing Nicotine Vaping Among Youth: A Systematic Review.

INTRODUCTION: Many jurisdictions have implemented different regulatory strategies to reduce vaping among youth. The objective of this systematic review is to synthesize the evidence of the effectiveness of different regulatory strategies for preventing and reducing nicotine vaping among youth. METHODS: Five electronic databases were searched from January 1, 2004 to July 17, 2022 for primary studies examining state/provincial or national regulations targeting vaping among youth (aged 12-21 years) in high-income countries. The primary outcome was vaping prevalence. Included studies were qualitatively synthesized through systematic review. RESULTS: The systematic review included 30 studies. There was insufficient evidence to recommend age restrictions (n=16), restrictions on location of use (n=1), and mixed/combined regulations (n=3). Flavor bans (n=4), sales licenses (n=2), and taxation (n=2) were generally shown to be associated with decreased rates of youth vaping. Warning labels (n=2) were associated with a decreased desire to initiate vaping. Included studies had moderate-to-serious risks of bias. DISCUSSION: Although several regulatory interventions have been shown to be effective at reducing vaping among youth, evidence is insufficient to recommend a specific type of regulation. Regulatory authorities could implement various regulations targeting the price, accessibility, and desirability (i.e., flavors and packaging) of E-cigarettes.

Interventions for Preventing E-Cigarette Use Among Children and Youth: A Systematic Review.

INTRODUCTION: Many nonregulatory interventions targeting children and youth have been implemented at three levels: directed at the individual (e.g., interactive video games), delivered to students at school (e.g., campus bans), and launched in the community (e.g., mass media campaigns). This systematic review aims to synthesize the evidence on the effectiveness of interventions aimed at preventing e-cigarette initiation among children and youth. METHODS: MEDLINE, CINAHL, Embase, APA PsycINFO, and Web of Science Core Collection were searched for papers published between January 1, 2004 and September 1, 2022 that reported more than one outcome on vaping prevention among individuals aged less than 21-years-old: vaping prevalence/incidence, initiation intentions, knowledge/attitudes, and other tobacco product use prevalence/initiation intentions. Interventions were at the individual, school, or community level. The risk of bias was assessed using ROBINS-I and RoB 1. RESULTS: Thirty-nine publications met the eligibility criteria. Fourteen individually-based (4 parental monitoring, 3 video games, 2 text messages, 3 graphic message themes, 2 healthcare), 19 school-based (14 educational and skill interventions, 5 vape-free policies/bans), and 6 community-based (3 social media, 3 mass media campaigns) interventions were reported. E-cigarette initiation prevention was observed with high perceived parental monitoring; however, the cross-sectional study designs precluded causal claims. There was promising but limited evidence that social-emotional skills curricula and peer leader programming prevented vaping initiation. DISCUSSION: Some individual- and school-based interventions showed promise for preventing e-cigarette initiation among children and youth.

A time compositional analysis of the association between movement behaviors and indicators of mental health in young adults.

BACKGROUND: Movement behaviors (i.e., physical activity [PA], sedentary behaviors [SB], sleep) relate to mental health. Although movement behaviors are often analyzed as distinct entities, they are in fact highly inter-dependent (e.g., if an individual increases sleep, then PA and/or SB must be reduced) and these dependencies should be accounted for in the analysis. We tested whether perceptions of time spent in movement behaviors (i.e., moderate-to-vigorous intensity PA [MVPA], light physical activity [LPA], SB, and sleep) related to depressive symptoms and self-report mental health in young adults using a compositional analysis. We then estimated change in depressive symptoms with reallocation of time across movement behaviors using compositional time-reallocation models. METHODS: Data were drawn from the longitudinal NDIT dataset. Complete data were available for 770 young adults (Mage = 20.3, 55% females). RESULTS: The proportion of time spent in MVPA relative to other movement behaviors related to depressive symptoms non-significantly and to mental health significantly. Reallocating 15 min from MVPA to SB resulted in a significant (0.46 unit) increase in depressive symptoms, and reallocating 15 min of MVPA to LPA was associated with a (0.57) increase in depressive symptoms. CONCLUSION: These results indicate the importance of relative time spent in each movement behavior to mental health. Further research should examine these associations over time.

Body-related shame and authentic pride are independently associated with self-rated health in young adults. / Honte et fierté authentique à l'égard de son corps associées de manière indépendante à l'état de santé autoévalué chez les jeunes adultes.

INTRODUCTION: Although body weight has been positioned as a strong predictor of physical and mental health, positive and negative body-related psychosocial factors may also be important. Further, both theoretical tenets and empirical evidence suggest that these associations may differ by gender. Our objectives were to examine the associations between body-related self-conscious emotions (body shame, body authentic pride) and physical and mental health in young adults, and to identify potential differences in these associations by gender. METHODS: Data for this cross-sectional study were drawn from the Nicotine Dependence in Teens (NDIT) study for 799 young adults (M [SD] age = 33.6 y [0.5]; 43.9% male). We estimated the associations between each of body shame and body authentic pride (i.e. the exposures) and both self-rated physical and self-rated mental health (i.e. the outcomes) in linear regression models that controlled for age, education and body mass index, and we examined potential gender differences in these associations by conducting gender-stratified analyses. RESULTS: In females, self-rated health and mental health decreased by 0.37 and 0.38, respectively, with each unit increase in body shame. Self-rated health and mental health increased by 0.25 and 0.23, respectively, for each unit increase in body authentic pride. In males, self-rated health and mental health decreased by 0.35 and 0.45, respectively, with each unit increase in body shame, and increased by 0.32 and 0.21, respectively, with each unit increase in body authentic pride. CONCLUSION: Interventions that focus on body weight to the exclusion of body-related self-conscious emotions may side-step a key contributor to self-rated health.

The Change in Exergaming From Before to During the COVID-19 Pandemic Among Young Adults: Longitudinal Study.

BACKGROUND: Exergaming may be an important option to support an active lifestyle, especially during pandemics. OBJECTIVE: Our objectives were (1) to explore whether change in exergaming status (stopped, started or sustained exergaming, or never exergamed) from before to during the COVID-19 pandemic was related to changes in walking, moderate-to-vigorous physical activity (MVPA) or meeting MVPA guidelines and (2) to describe changes among past-year exergamers in minutes per week exergaming from before to during the pandemic. METHODS: A total of 681 participants (mean age 33.6; SD 0.5 years; n=280, 41% male) from the 22-year Nicotine Dependence in Teens (NDIT) study provided data on walking, MVPA, and exergaming before (2017 to 2020) and during (2021) the COVID-19 pandemic. Physical activity (PA) change scores were described by change in exergaming status. RESULTS: We found that 62.4% (n=425) of the 681 participants never exergamed, 8.2% (n=56) started exergaming during the pandemic, 19.7% (n=134) stopped exergaming, and 9.7% (n=66) sustained exergaming. Declines were observed in all 3 PA indicators in all 4 exergaming groups. The more salient findings were that (1) participants who started exergaming during COVID-19 reported the highest MVPA levels before and during the pandemic and declined the least (mean -35 minutes/week), (2) sustained exergamers reported the lowest MVPA levels during the pandemic (median 66 minutes/week) and declined the most in MVPA (mean change of -92 minutes/week) and in meeting MVPA guidelines (-23.6%). During the pandemic, starting exergamers reported 85 minutes of exergaming per week and sustained exergamers increased exergaming by a median 60 minutes per week. CONCLUSIONS: Although starting and sustaining exergaming did not appear to help exergamers maintain prepandemic PA levels, exergaming can contribute a substantial proportion of total PA in young adults and may still represent a useful option to promote PA during pandemics.

Predictors of Food and Physical Activity Tracking Among Young Adults.

BACKGROUND: Monitoring food intake and physical activity (PA) using tracking applications may support behavior change. However, few longitudinal studies identify the characteristics of young adults who track their behavior, findings that could be useful in designing tracking-related interventions. Our objective was to identify predictors of past-year food and PA tracking among young adults. METHODS: Data were available for 676 young adults participating in the ongoing longitudinal Nicotine Dependence in Teens Study. Potential predictors were measured in 2017-2020 at age 31, and past-year food and PA tracking were measured in 2021-2022 at age 34. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. RESULTS: One third (37%) of participants reported past-year PA tracking; 14% reported past-year food, and 10% reported both. Nine and 11 of 41 potential predictors were associated with food and PA tracking, respectively. Compensatory behaviors after overeating, trying to lose weight, self-report overweight, reporting a wide variety of exercise behaviors, and pressure to lose weight predicted both food and PA tracking. CONCLUSION: Food and PA tracking are relatively common among young adults. If the associations observed herein between compensatory behavior after overeating and tracking (among other observed associations) are replicated and found to be causal, caution may need to be exercised in making "blanket" recommendations to track food intake and/or PA to all young adults seeking behavior change.

Factors associated with cannabis use in early adolescence. / Facteurs associés à la consommation de cannabis au début de l'adolescence.

INTRODUCTION: We examined whether factors identified as associated with cannabis use at age 14 to 16 years are also associated with ever use at age 12. METHODS: Participants in the AdoQuest study (n = 1852) were recruited in 2005 from among Grade 5 students in 29 French-language elementary schools in Montréal, Canada. Self-report data were collected from participants in Grade 5 (spring 2005) and 6 (fall 2005 and spring 2006) and from parents/guardians in 2006/07. Inclusion in the analytic sample (n = 1076; mean age [SD] = 10.7 [0.5]) required data from participant and parental questionnaires and data on cannabis use in Grade 6 (mean age [SD] = 11.7 [0.4]). We estimated associations between ever use at age 12 with 33 potential correlates, separately in unadjusted and adjusted logistic regression models. RESULTS: Fifty-three participants (4.9%) reported ever use at age 12. Factors associated with higher odds of ever use included older age, identifying as male, lower household income, more weekly spending money, ever tried cigarettes or other tobacco products, ever drank alcohol or binge drank, ever gambled, friends or siblings smoke cigarettes, greater nicotine dependence, higher depressive symptoms and greater impulsivity. Protective factors included higher levels of parental/guardian monitoring and greater self-esteem and school connectedness. CONCLUSION: Factors associated with cannabis use at later ages are also associated with ever use at age 12. Our findings suggest that surveillance for and interventions to prevent cannabis use are warranted before age 12.

Do demographic and socioeconomic characteristics underpin differences in youth smoking initiation across Canadian provinces? Evidence from the Canadian Community Health Survey (2015-2018). / Les caractéristiques démographiques et socioéconomiques sous-tendent-elles les différences d'initiation à l'usage du tabac chez les jeunes entre les provinces canadiennes? Données probantes tirées de l'Enquête sur la santé dans les collectivités canadiennes (2015-2018).

INTRODUCTION: Youth initiation may drive differences in smoking prevalence across Canadian provinces. Provincial differences in initiation relate to tobacco control strategies and public health funding, but have also been attributed to population characteristics. We test this hypothesis by examining the extent to which seven characteristics-immigration, language, family structure, education, income, home ownership and at-school status-explain differences in initiation across provinces. METHODS: We used data from 16 897 youth aged 12 to 17 years in the Canadian Community Health Survey collected from 2015 to 2018. To examine the proportion of provincial differences explained by population characteristics, we compared average marginal effects (AMEs) from partially and fully adjusted models regressing "having ever initiated" on province and other characteristics. We also tested interactions to examine differences in the association between population characteristics and initiation across provinces. RESULTS: Initiation varied from 4% in British Columbia to 10% in Quebec. Being born in Canada, speaking French, not living in a two-parent household, being in the lowest household income quintile, having parents without postsecondary education, living in rented accommodation and not being in school were each associated with initiation. Taking these results into consideration, the AME of residing in another province compared with Quebec was attenuated by between 3% and 9%. Family structure and household income were more strongly associated with initiation in the Atlantic region and Manitoba, but not in Quebec. CONCLUSION: Differences in initiation between Quebec and other provinces are unlikely to be substantially explained by their demographic or socioeconomic composition. Reprioritizing tobacco control and public health funding are likely key in attaining the "tobacco endgame" across provinces.

Predictors of past-year e-cigarette use among young adults.

Understanding the underpinnings of e-cigarette use among young adults is critical to addressing increasing uptake. We identified predictors of past-year e-cigarette use among young adults in Montreal, Canada. Data on potential predictors were available for 714 young adults participating in the ongoing Nicotine Dependence in Teens Study at age 20 in 2007-08. Past-year e-cigarette use was measured at age 30 in 2017-20. Each potential predictor was studied in a separate multivariable logistic regression model controlling for age, sex, and educational attainment. Male sex, friends who smoke, cigarette smoking, use of other tobacco products, alcohol use, use of marijuana, and impulsivity predicted past-year e-cigarette use. Higher educational attainment and very good/excellent self-rated health were protective. Program and policy makers will need to consider these predictors of e-cigarette use in the design of clinical and public health interventions targeting e-cigarette use in young adults.

Correlates of perceived success of health-promoting interventions in elementary school. / Corrélats du succès perçu des interventions de promotion de la santé dans les écoles primaires.

INTRODUCTION: School-based health-promoting interventions (HPIs) aim to support youth development and positively influence modifiable lifestyle behaviours. Identifying factors that contribute to or hinder the perceived success of HPIs could facilitate their adaptation, improve implementation and contribute to HPI sustainability. The objective of this study was to identify factors in three domains (school characteristics, characteristics of the HPI and factors related to planning and implementing the HPI) associated with perceived success of HPIs among school principals in elementary schools. METHODS: Data were drawn from Project PromeSS, a cross-sectional survey of school principals and/or nominated staff members in a convenience sample of 171 public elementary schools in Quebec, Canada. School board and school recruitment spanned three academic school years (2016-2019). Data on school and participant characteristics, HPI characteristics, variables related to HPI planning and implementation and perceived success of the HPI were collected in two-part, structured telephone interviews. Descriptive statistics were used to characterize schools and study participants. Twenty-eight potential correlates of perceived HPI success were investigated separately in multivariable linear regression modelling. RESULTS: Participants generally perceived HPIs as highly successful. After controlling for number of students, language of instruction, school neighbourhood and school deprivation, we identified five correlates of perceived success, including lower teacher turnover, higher scores for school physical environment, school/teacher commitment to student health, principal leadership and school being a developer (vs. adopter) of the HPI. CONCLUSION: If replicated, these factors should be considered by HPI developers and school personnel when planning and implementing HPIs in elementary schools.

Physical activity motives have a direct effect on mental health.

Physical activity (PA) motives are associated with both moderate-to-vigorous intensity PA (MVPA) and mental health. Studies examining whether PA motives relate directly to mental health or indirectly through MVPA are lacking. This study examined the direct effect of five PA motives (i.e., enjoyment, competence, fitness, social, appearance) on mental health and their indirect effects through MVPA in adolescents. A total of 424 participants (57.1% females) ages 14-15 years from the longitudinal MATCH study were included. Mediation analyses, based on the counterfactual framework, assessed the natural direct effect of PA motives on mental health, and the natural indirect effects through MVPA. Separate models were conducted for each PA motive. Natural direct effects were observed for enjoyment ( ß Ì‚ [95%CI] = 2.12 [0.34, 3.90]), competence ( ß Ì‚ [95%CI] = 1.58[0.28, 2.88]), fitness ( ß Ì‚ [95%CI] = 1.42[0.04, 2.80]), and social ( ß Ì‚ [95%CI] = 2.32[1.03, 3.60]) motives. No natural direct effects were observed for appearance motives. A natural indirect effect through MVPA was observed for fitness motives, and no other natural indirect effects were found. Interventions and public health strategies in adolescents need to acknowledge the importance of enjoyment, competence social and fitness motives in PA to promote mental health, and integrate specific recommendations on the importance of the reasons why adolescents participate in PA.

Stable physical activity patterns predominate in a longitudinal study of physical activity among young adults in Canada from before to during the COVID-19 pandemic.

We examined change in walking, moderate-to-vigorous physical activity (MVPA) and meeting MVPA guidelines from before to during the COVID-19 pandemic, and identified factors associated with newly meeting and no longer meeting MVPA guidelines during the pandemic. Complete data were available for 614 young adults participating in the ongoing Nicotine Dependence in Teens (NDIT) study pre-pandemically in 2010-12 and 2017-20, and during the pandemic in 2020-21. Change in physical activity was examined in four sub-groups (i.e., stable inactive, newly met MVPA guidelines, no longer met MVPA guidelines, stable active). Factors associated with newly and no longer met MVPA guidelines were identified in multivariable logistic regression. While walking and MVPA changed little from 2010-2 to 2017-20, both declined during the pandemic (median for both = -30 min/week). 63.3% of participants reported no change in meeting MVPA guidelines during the pandemic, 11.4% newly met MVPA guidelines and 25.2% no longer met MVPA guidelines. Male sex, not university-educated, amotivated to engage in physical activity reported pre-pandemic, and endorsing physical activity as a COVID-19 coping strategy were associated with newly met MVPA guidelines. Male sex, not university-educated, higher problem-focused coping scores and endorsing physical activity as a COVID-19 coping strategy were protective of no longer met MVPA guidelines. Increased understanding of why some participants increased or decreased MVPA during the pandemic is needed to inform physical activity-related policy during pandemics.

Associations of Quantity Smoked and Socioeconomic Status With Smoke-Free Homes and Cars Among Daily Smokers.

INTRODUCTION: An association between socioeconomic status (SES) and smoke-free private spaces among smokers could be due to heavier smoking among low SES smokers. We assessed whether quantity smoked or SES are independently associated with smoke-free homes or cars in daily smokers. METHOD: Data were drawn from a cross-sectional telephone survey (2011-2012) of 750 daily smokers age ≥18 years in Quebec, Canada (45% response). Multivariable logistic regression was used to model the independent association between (a) number of cigarettes smoked per day, and (b) each of educational attainment, annual household income, or active employment status and smoke-free homes or cars. RESULTS: Participants were 41.0 years old on average, 57% were female. Median (IQR) number of cigarettes smoked per day was 14 (10, 20). Forty-eight percent of participants reported smoke-free homes; 34% reported smoke-free cars. Quantity smoked was strongly associated with both smoke-free homes and cars. Income and education (but not actively employed) were associated with smoke-free homes. None of the SES indicators were associated with smoke-free cars. CONCLUSIONS: Interventions targeting smokers to promote smoke-free homes and cars should incorporate components to help smokers reduce quantity smoked or preferably, to quit. Interventions targeting smoke-free homes will also need to address SES inequalities by education and income. Our data suggest that reduction in quantity smoked may help smokers reduce SHS exposure in cars, but that an inequality lens may not be relevant.

Associations among physical activity tracking, physical activity motivation and level of physical activity in young adults.

Whether physical activity (PA) tracking devices are associated with PA motivation in young adults is largely unknown. We compared total PA minutes per week, total minutes walking/week, meeting moderate-to vigorous PA guidelines, and past-year activity tracking across motivation cluster profiles among 799 young adults. Participants with "self-determined" profiles reported the highest total PA minutes/week followed by participants with "low intrinsic," "controlled self-determined," and "high external" profiles. A behavior regulation profile X activity tracking frequency interaction was not significant. Behavior regulation profiles may need to be considered in PA interventions using activity trackers.

Cigarette Smoking Trajectories in Adolescent Smokers: Does the Time Axis Metric Matter?

INTRODUCTION: Most studies modeling adolescent cigarette smoking trajectories use age as the time axis, possibly obscuring depiction of the natural course of cigarette smoking. We used a simulated example and real data to contrast smoking trajectories obtained from models that used time since smoking onset or calendar time (age) as the time axis. METHODS: Data were drawn from a longitudinal investigation of 1293 grade 7 students (mean age 12.8 years) recruited from 10 high schools in Montreal, Canada in 1999-2000, who were followed into young adulthood. Cigarette consumption was measured every 3 months during high school, and again at mean ages 20.4 and 24.0. Analyses using time since onset of smoking as the time metric was restricted to 307 incident smokers; analysis using calendar time included 645 prevalent and incident smokers. Smoking status and nicotine dependence (ND) were assessed at mean ages 20.4 and 24.0. Simulated data mimicked the real study during high school. RESULTS: Use of different time metrics resulted in different numbers and shapes of trajectories in the simulated and real datasets. Participants in the calendar time analyses reported more ND in young adulthood, reflecting inclusion of 388 prevalent smokers who had smoked for longer durations. CONCLUSIONS: Choosing the right time metric for trajectory analysis should be balanced against research intent. Trajectory analyses using the time since onset metric depict the natural course of smoking in incident smokers. Those using calendar time offer a snapshot of smoking across ages during a given time period. IMPLICATIONS: This study uses simulated and real data to show that trajectory analyses of cigarette smoking that use calendar time (e.g., age) versus time since onset as the time axis metric tell a different story. Trajectory analyses using the time since onset metric depict the natural course of smoking in incident smokers. Those using calendar time offer a snapshot of smoking across ages during a given time period. Choosing the right time metric should be balanced against research intent.

Initiation or cessation: what keeps the prevalence of smoking higher in Quebec than in the rest of Canada? / Initiation à l'usage du tabac ou arrêt du tabac : comment expliquer une prévalence supérieure du tabagisme au Québec en comparaison du reste du Canada?

INTRODUCTION: We compared smoking initiation and cessation in Quebec versus the rest of Canada as possible underpinnings of the continued higher cigarette smoking prevalence in Quebec. METHODS: Data were drawn from the Canadian Community Health Survey (CCHS). We compared average and sex-stratified prevalence estimates of (1) current cigarette smoking in persons aged 15 years and older; (2) past-year initiation of cigarette smoking in those aged 12 to 17 and 18 to 24 years; and (3) past-year cessation in adults aged 25 years and older in Quebec versus the other nine Canadian provinces in each two-year CCHS cycle from 2007/08 to 2017/18. RESULTS: The prevalence of current smoking decreased from 25% to 18% among adults aged 15 years and older in Quebec from 2007/08 to 2017/18, and from 22% to 16% in the rest of Canada. Initiation among those aged 12 to 17 years decreased from 9% to 5% in Quebec, and from 7% to 3% in the rest of Canada. Neither initiation among people aged 18 to 24 (at 6% and 7%, respectively) nor cessation among adults aged 25 and older (approximately 8%) changed over time in Quebec or in the rest of Canada. In each two-year CCHS cycle, past-year initiation among those 12 to 17 years of age was consistently higher in Quebec than in the rest of Canada, but there were no substantial or sustained differences in initiation among people aged 18 to 24 or in past-year cessation. Findings were similar when stratified by sex. CONCLUSION: Higher levels of smoking initiation among youth aged 12 to 17 years could be a proximal underpinning of the continuing higher prevalence of smoking in Quebec versus the rest of Canada.

Association between pattern of team sport participation from adolescence to young adulthood and mental health.

We examined relationships between pattern of team sport participation during the transition from adolescence to young adulthood (ie, non-participants, initiators, discontinuers, sustainers) and indicators of mental health. Data on team sport participation and mental health from high school to young adulthood were drawn from the longitudinal NDIT study. After controlling for demographics, physical activity, and previous mental health, one-way MANCOVA and ANCOVAs indicated that pattern of team sport participation was associated with stress, F(2,706) =8.28, p < .01, and coping, F(2,706) = 10.66, p < .01 in young adulthood. Compared to non-participants (24% of sample) or those who discontinued team sport after adolescence (51%), individuals who sustained team sport participation from adolescence to young adulthood (22%) reported lower stress and better coping levels. Bivariate regression analysis indicated that, compared to non-participants, team sport sustainers were less likely to experience panic disorder symptoms (OR =0.57, 95% CI [0.34, 0.94], p = .03). There were too few team sport initiators (2%) to be included in analyses. Sustained team sport participation during the transition from adolescence to young adulthood may promote better mental health. Further research is needed to ascertain causality and develop strategies to encourage individuals to join sport teams during adolescence and sustain participation while transitioning to young adulthood.

Longitudinal associations between team sport participation and substance use in adolescents and young adults.

BACKGROUND: Team sport participation contributes to positive outcomes, including increased physical activity, better mental health, and enhanced social engagement. However, longitudinal studies show that team sport participation during adolescence is also associated with unhealthy lifestyle habits, including harmful substance use behaviors. Our objectives were to examine these associations in an adolescent sample, assess differences between sexes, examine the association by sport type, and investigate whether associations carry into young adulthood. METHOD: Over five years of high school participants reported team sport participation, smoking status, and frequency of alcohol use, three years post-high school participants reported the same behaviors as well as marijuana use. RESULTS: Regression analyses accounting for individual clustering revealed that participation in team sport during high school was associated with an increased likelihood of current smoking in males and more frequent drinking in both sexes during adolescence. These relationships were strongest in individuals who participated in football. Further analyses revealed that team sport participation in high school was associated with an increased likelihood of more frequent binge drinking in young adulthood; however, team sport participation in young adulthood was associated with a decrease in the likelihood of cigarette smoking and marijuana use in young adulthood. CONCLUSION: Overall, results confirm that team sport participation in adolescence is positively associated with substance use in adolescence, and this association differs by sex. However, team sport participation in young adulthood is negatively associated with harmful substance use. Further research is needed to understand if these trends generalize beyond White adolescents and young adults.