School- and intervention-related factors associated with institutionalization of health promotion interventions in elementary schools. / Facteurs liés aux écoles et facteurs liés aux interventions dans le contexte de l'institutionnalisation des interventions de promotion de la santé dans les écoles primaires.

INTRODUCTION: Long-term availability of health-promoting interventions (HPIs) in school settings can translate into health benefits for children. However, little is known about factors associated with HPI institutionalization in schools. In this study, we identified correlates of the institutionalization of HPIs offered in elementary schools in Quebec, Canada. METHODS: In two-part, structured telephone interviews over three academic years (2016-2019), elementary school principals (or their designees) throughout Quebec identified an index HPI offered at least once in their school during the previous three years, and were asked whether it was institutionalized (i.e. explicitly written in the school's educational project, e.g. in the form of educational objectives and means of achieving them). We examined associations between institutionalization and 10 school-related and 16 HPI-related characteristics in univariable and multivariable logistic regression analyses. RESULTS: School key informants (n = 163) reported on 147 different HPIs that had been available in their schools in the past three years, 56% of which were institutionalized. Three aspects of school culture-parent/community engagement with the school, school/teacher commitment to student health and school physical environment-were positively associated with HPI institutionalization. HPI-related characteristics positively associated with HPI institutionalization included number of competencies addressed by the HPI, number of teaching strategies employed, modifications made to the HPI prior to or during implementation and perceived success of the HPI. Inviting families or community groups to participate in the HPI was inversely associated with institutionalization. CONCLUSION: Better understanding of factors associated with HPI institutionalization may inform the development of school-based HPIs that have the potential for sustainability.

Availability of health-promoting interventions in high schools in Quebec, Canada, by school deprivation level. / Disponibilité des interventions de promotion de la santé dans des écoles secondaires du Québec (Canada) selon le niveau de défavorisation scolaire.

INTRODUCTION: School-based health-promoting interventions (HPIs) foster adolescent health and well-being. Access to HPIs may differ by the socioeconomic advantage of students at each school (school deprivation). We assessed the importance of health issues and availability of HPIs and extracurricular activities by school deprivation in high schools in Quebec, Canada. METHODS: In 2016/17, 2017/18 and 2018/19, we interviewed school principals or a designee in 48 public high schools classified as disadvantaged (33%) or advantaged (67%). Schools rated whether 13 common health-related issues were important (i.e. warranted intervention) in their student population and reported whether HPIs to address these or other health issues and/or sports or special interest extracurricular activities had been available in the past year. RESULTS: 84% of disadvantaged schools offered one or more HPIs in the past year compared to 73% of advantaged schools. Higher proportions of disadvantaged schools perceived most of 13 health-related issues as important. HPIs for bullying/exclusion, sex education and physical activity (issues subject to government mandates) were available in most schools. Higher proportions of disadvantaged schools offered non-mandated HPIs (i.e. for healthy eating, mental health/well-being and substance use). Higher proportions of advantaged schools offered extracurricular activities in all areas other than non-competitive sports, which was offered by equal proportions of advantaged and disadvantaged schools. CONCLUSION: Government mandates appear to facilitate universal availability of HPIs in schools, possibly boosting equity in school-based health promotion. Further investigation of possible differences in the content, implementation and/or effects of HPIs based on school deprivation is warranted.

Identifying high school smokers likely to persist in smoking at age 31.

OBJECTIVE: Quitting smoking by the mid-30 s conveys important health benefits. Yet, although many smokers attempt to quit, few succeed. Identification of the characteristics of adolescent smokers most likely to continue smoking between ages 30 and 40 could help target early cessation efforts. Our objectives in this study were to (i) describe the course of smoking in a population-based sample of high school smokers into their 20 s and 30 s, and (ii) identify distal predictors of past-year cigarette smoking at age 31. METHODS: Data at ages 17 (in 11th grade), 20, 24 and 31 were drawn from a 20-year longitudinal study of students ages 12-13 at inception, from 10 high schools in Montréal, Canada. Associations between 11 smoking-related characteristics measured in 11th grade and past-year smoking at age 31 were estimated in multivariable logistic regression models. RESULTS: Among 244 11th grade smokers (67.4% female; 41% daily smokers), past-year smoking was reported by 71% at age 20, 68% at age 24, and 52% at age 31. Only 12% reported abstinence at ages 20, 24 and 31. Females were less likely than males to smoke at age 31. Parental smoking while the smoker was in 11th grade, use of other tobacco products, longer time since smoking onset, weekly or daily smoking, monthly cigarette consumption, and perceived nicotine addiction predicted past-year smoking at age 31. CONCLUSIONS: In addition to preventive interventions, cessation programs targeting novice smokers in high school as soon as they begin smoking, are warranted.

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.

Depressive Symptoms, Alcohol Beliefs and Heavy Episodic Drinking in Adolescents.

Adolescents who engage in heavy episodic drinking (HED-i.e., 5+ drinks on a single occasion) increase risks for psychopathology, alcohol dependence, and similar negative consequences in adulthood. We explored associations among depressive symptoms, positive alcohol beliefs, and progression of heavy episodic drinking (HED) in 3021 German adolescents (M(SD) age at baseline = 12.4 (1.0)) followed for 30 months in 4 waves, using a conditional parallel process linear growth model, with full information maximum likelihood estimation. By wave 4, 40.3% of participants had engaged in HED more than once; 16.4% had done so ≥5 times. Depressive symptoms were indirectly related to baseline values of HED (through positive beliefs and wave 1 drinking frequency and quantity) and to the rate of growth in HED (through positive beliefs and wave 1 quantity). Adolescents with higher levels of depressive symptoms and positive alcohol beliefs drink more frequently and at greater quantities, which is associated with initiating HED at a higher level and escalating HED more rapidly than peers with similar depressive symptoms who lack those beliefs. This suggests that, to the extent that positive alcohol beliefs can be tempered through public health campaigns, education and/or counseling, HED among depressed adolescents might be reduced.

Who mixes tobacco with cannabis and does mixing relate to nicotine dependence?

BACKGROUND: Cannabis users who mix tobacco with cannabis are exposed to nicotine in the tobacco. We identified characteristics of young adult cannabis users who mix and investigated whether mixing frequency is associated with nicotine dependence (ND). METHODS: Data were collected in self-report questionnaires in 2017-20 from 788 young adults (44% male; mean (SD) age 30.6 (1.0) years) participating in a longitudinal investigation of the natural course of ND. Using multivariable logistic regression, we assessed whether any of 16 sociodemographic, lifestyle, psychosocial or other characteristics were associated with mixing among 313 past-year cannabis users. We also assessed whether mixing frequency was associated with ND among 289 past-year cannabis users who had ever smoked cigarettes controlling for age, sex, and other sources of nicotine (i.e., number of cigarettes smoked, other tobacco products, second-hand smoke exposure). RESULTS: Of 788 participants, 40 % (n = 313) reported past-year cannabis use. Of these, 150 (48 %) reported mixing. Younger age, lower education and income, past-year cigarette use, use of other tobacco products and illicit drugs, poor coping skills and gambling were associated with mixing. Number of ICD-10 ND criteria endorsed was associated with mixing < weekly (b(95 % CI) = 0.3(0.02,0.7)) and weekly/daily (0.5(0.1,0.9)) after controlling for other sources of nicotine. CONCLUSION: Mixing is associated with ND and therefore may threaten tobacco control efforts by rendering quitting cigarette smoking more difficult among smokers who mix tobacco with cannabis. Mixing tobacco with cannabis should be considered as an additional source of nicotine exposure in studies of ND in young people.

Natural course of co-use of alcohol and cannabis in adolescents and young adults in Montréal, Canada.

OBJECTIVE: Little is known about changes in alcohol and cannabis co-use over time in adolescents and young adults. We sought to describe the natural course of alcohol and cannabis co-use from age 12 to 17 and 20 to 31 and to describe frequent (i.e., ≥ once/month) binge drinking (i.e., ≥ 5 drinks/occasion) and cannabis use from age 20 to 31. METHOD: Data were drawn from two longitudinal studies conducted in Montréal, Canada: AdoQuest (n = 1,852) and the Nicotine Dependence in Teens (NDIT) study (n = 1,293). Complete data on alcohol and cannabis were available for 620 12-17-year-olds (58% female) followed from 2005 to 2011 in AdoQuest, and 673 20-31-year-olds (56% female) followed from 2007 to 2020 in NDIT. We reported proportions of co-use, exclusive drinking ("drinking"), exclusive cannabis use ("cannabis use"), frequent co-use, frequent binge drinking, and frequent cannabis use by age and sex. RESULTS: Co-use rose from 2% at age 12-13 to 23% at age 17, was stable at 44% at age 20 and 24, and then decreased to 37% at age 31. Drinking rose from 20% to 51%, and cannabis use was consistently rare (< 2%). During young adulthood, frequent co-use declined from 21% at age 20 to 12% at age 31, and frequent binge drinking declined from 29% at age 20 to 22% at age 31. Frequent cannabis use increased from 6% at age 20 to 11% at age 31. CONCLUSIONS: Alcohol and cannabis use should be studied as time-varying behaviors. Co-use patterns should be monitored over time in this population. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Pediatric Resident Training in Tobacco Control and the Electronic Health Record.

Given the dangers posed by tobacco use and tobacco smoke exposure, pediatricians should address tobacco use and exposure with patients and parents at every opportunity, but this is not consistently done in practice. One reason may be that many medical residents do not receive education on how to address tobacco use and tobacco smoke exposure with patients and their parents. In a 2012 survey of U.S. pediatric program directors, 65% of programs reported covering tobacco control in their curricula, but most training programs focused on tobacco's health effects and not intervention strategies for clinical practice. Since that survey, electronic health records have been implemented broadly nationwide and utilized to address tobacco smoke exposure. Investigators surveyed U.S. program directors in 2018 and residents in 2019 to explore the ways in which the residents learn about tobacco use and tobacco smoke exposure, components and use of the electronic record specific to tobacco use and tobacco smoke exposure, and perceived resident effectiveness in this area. All the program directors and 85% of the residents valued training, but 21% of the residents reported receiving none. Moreover, a minority of the residents assessed themselves as effective at counseling parents (19%) or adolescents (23%), and their perceived effectiveness was related to small group learning and active learning workshops, modalities that were infrequently implemented in training. Respondents also reported infrequent use of electronic health record prompts regarding tobacco and the absence of prompts about critical issues (e.g., addressing tobacco smoke exposure in vehicles or other settings or offering treatment or referrals to parents who smoke). This paper provides recommendations about augmenting pediatric resident training in simple ways.

Discrete time measures versus trajectories of drinking frequency across adolescence as predictors of binge drinking in young adulthood: a longitudinal investigation.

OBJECTIVES: We compared discrete time measures with trajectories of adolescent drinking frequency as predictors of sustained binge drinking in young adulthood. DESIGN: Prospective longitudinal study. SETTING: 10 high schools in Montréal, Canada. PARTICIPANTS: 1293 high-school students followed from mean (SD) age 12 (0.6) to 24 (0.7) years. PRIMARY OUTCOME MEASURES: Patterns of drinking frequency (self-reports every 3 months from ages 12 to 17) identified using group-based trajectory modelling. Sustained binge drinking was defined as binging monthly or more often at both ages 20 and 24. ANALYSES: Using logistic regression, sustained binge drinking was regressed on trajectory group membership and on four discrete time measures (frequency of drinking at age 12; frequency of drinking at age 17; age at drinking onset; age at onset of drinking monthly or more often). RESULTS: We identified seven drinking trajectories: late triers (15.2%), decreasers (9.5%), late escalators (10.4%), early slow escalators (16.5%), steady drinkers (14.4%), early rapid escalators (15.8%) and early frequent drinkers (18.2%). Sustained binge drinking was reported by 260 of 787 participants (33.0%) with complete data at both ages 20 and 24. Decreasers did not differ from late triers; all other patterns were associated with higher odds of sustained binge drinking (adjusted ORs: AORs=1.4-17.0). All discrete time measures were associated with sustained binge drinking, notably frequency at age 12 (a bit to try and drinking monthly: (AORs=2.6 (1.7; 3.9) and 2.8 (1.3; 6.1), respectively), age of drinking onset <13 years (AOR=7.6 (3.0; 24.1)), and any age of onset of drinking monthly or more often (AORs=5.1-8.2). CONCLUSION: Youth at risk of sustained binge drinking as young adults can be identified with indicators of early drinking as early as 7th grade (aged 12-13 years). Identification of easy-to-obtain indicators can facilitate screening and intervention efforts.

Does use of other tobacco products change when cigarette smoking status changes: A descriptive study of young adults.

BACKGROUND: Whether polytobacco use or nicotine dependence (ND) change when cigarette smoking status changes in young adults is an understudied issue. Our objective was to describe use of other tobacco products (OTPs) and ND according to change in cigarette smoking status over four years in young adults. METHODS: We drew data from a longitudinal study of 1294 adolescents age 12-13 at inception in 1999-2000 and followed into young adulthood. Among 790 participants with data at age 20 and 24, 22% had never smoked cigarettes; 37% were "sustained smokers"; 9% were "relapsers"; 10% had quit 1-3 years ago; and 22% had quit ≥4 years ago. We described past-year OTP (i.e., cigars/cigarillos, waterpipe, sundry tobacco products (i.e., pipe, bidis, chewing tobacco, snuff)) use and ND over 4 years in these groups. RESULTS: At age 20, sustained smokers reported using a mean(SD) of 1.1(0.9) OTP in the past-year; relapsers reported 0.5(0.6); shorter-term quitters reported 0.9(0.7); longer-term quitters reported 0.3(0.6); and never smokers reported 0.2(0.4). There was no change in OTP use or ND in never smokers and longer-term quitters. Shorter-term quitters reduced the number of OTPs by -0.5(95% confidence interval: -0.7,-0.3) on average over 4 years; sustained smokers decreased by -0.2(-0.3,-0.1). Relapsers increased by 0.6(0.4,0.7) on average. CONCLUSIONS: OTP use and ND were stable in early adulthood among never smokers, sustained smokers and longer-term quitters, but fluctuated in parallel with stopping and starting to smoke. Research is needed to ascertain the underpinnings of these fluctuations and whether they help or hinder cessation.

Intensity and frequency of physical activity and high blood pressure in adolescents: A longitudinal study.

Despite limited evidence on the association between physical activity (PA) and blood pressure (BP) in youth, experts recommend that adolescents engage regularly in moderate-to-vigorous PA. We examined the relationships between PA intensity and frequency and the likelihood of having high BP in a population-based cohort of adolescents from Montréal, Canada. PA was self-reported every 3 months from grade 7 to 11, and BP was measured at ages 12.8, 15.2, and 17.0 years on average. We analyzed data from 993 participants (mean [SD] age = 16.0 [1.0], 51.6% female) with BP data at ages 15.2 and/or 17.0 years, using pooled ordinal logistic regression. BP (normal/elevated/hypertensive range) was the outcome, and past-year PA intensity and frequency were potential predictors. Eight percent of participants had elevated BP (120-129/<80), and 3.2% had BP in the hypertensive range (≥130/≥80). Participants engaged in a median (interquartile range) of 7.0 (4.5, 9.3) and 5.5 (2, 10.8) moderate and vigorous PA sessions/week, respectively. After adjusting for age, sex, mother's education, use of alcohol and cigarette consumption, engaging in PA more intense than light during the previous year was associated with a lower odds of having BP in the hypertensive range (ORs [95% CIs] = 0.93 [0.88, 0.97] to 0.97 [0.94, 0.99]). The relationships were not altered by adjusting for BMI. Our findings support recommendations that adolescents engage in at least moderate PA on a regular basis to prevent development of BP in the hypertensive range.

Secondhand Smoke Exposure and Depressive Symptoms in Children: A Longitudinal Study.

INTRODUCTION: We investigated whether secondhand smoke (SHS) exposure is associated with depressive symptoms in a population-based sample of children. METHODS: Never-smoking students from 29 French-language elementary schools in Greater Montréal, Canada, were followed from 5th to 11th grade (2005-2011) in five waves: 1 (5th grade), 2 (spring 6th grade), 3 (7th grade), 4 (9th grade), and 5 (11th grade). Associations between depressive symptoms and SHS exposure at home and in cars were examined in cross-sectional and longitudinal gamma generalized regression models adjusted for sex, maternal education, and neighborhood socioeconomic status. RESULTS: The sample comprised 1553 baseline never-smokers (mean [SD] age = 10.7 [0.5] years; 44% male; 89% French-speaking). SHS exposure at home and in cars was associated with higher depressive symptom scores in cross-sectional analyses pooled across grades and adjusted for demographics (B [95% confidence interval (CI)] = 0.041 [0.017 to 0.068] for home exposure; 0.057 [0.030 to 0.084] for car exposure). In longitudinal analyses from fifth to sixth grade, B (95% CI), adjusted for demographics and baseline depressive symptoms, was 0.042 (0.003 to 0.080) for home exposure and 0.061 (0.019 to 0.103) for car exposure. From sixth to seventh grade, B (95% CI) was 0.057 (0.003 to 0.110) for home exposure and 0.074 (0.015 to 0.133) for car exposure. SHS exposure at any age did not predict depressive symptoms 2 years later. CONCLUSIONS: SHS exposure is associated with depressive symptoms in young persons, both concurrently and 1 year later. This finding adds to the evidence base supporting that children should be protected from SHS exposure. IMPLICATIONS: SHS exposure has deleterious effects on physical health and results of this study raise concerns that such exposure might also affect the mental health of young persons. Clearly, protecting children from SHS in all locations is a critical public health priority. Although research is needed to determine if the association between SHS exposure and depressive symptoms is causal, continued implementation of smoking bans and educational efforts to discourage smoking in vehicles when children are present are warranted.

Single-parent status and smoke-free home rules among daily smokers.

OBJECTIVE: In Canada, the home has become the primary locale in which children are exposed to tobacco smoke. Single parents are less likely than two-parent families to ban smoking at home, but the extent to which this relates to economic inequalities across family structures is unclear. Our objective was to estimate the association between household structure (single- vs. non-single-parent family) and smoke-free home rules, accounting for indicators of economic disadvantage. METHODS: Data were available in a telephone survey conducted in 2011-2012 in Québec, Canada, of 567 daily smokers (mean (SD) age 38.3 (8.1); 56.6% female) who lived with children. Poisson regression models with robust variance were used to determine whether single-parent status was independently associated with living in a smoke-free home after accounting for age, sex, language, household size, age of youngest child, neighbourhood material deprivation, socio-economic status and employment status. RESULTS: Of 122 participants living in a single-parent family, 33 (27%) reported that their home was smoke-free, compared with 250 of 445 participants (56.2%) living in non-single-parent families. Single parents were approximately 40% less likely to live in smoke-free homes than other daily smokers, even after accounting for indicators of economic disadvantage. CONCLUSIONS: Single parents, regardless of income or level of neighbourhood material deprivation, were less likely to report smoke-free home rules. These smokers represent a distinct subgroup that warrants targeted interventions to help them implement such rules by addressing their specific needs against a backdrop of creating more equitable access to the social determinants of health.

Untangling Influences in the Longitudinal Relationship Between Depressive Symptoms and Drinking Frequency in High School.

PURPOSE: In young people, alcohol consumption and depressive symptoms are related, but the temporal ordering of the relationship is an open question. Previous studies have not disaggregated influences of interindividual and intraindividual components affecting the relationship. We investigated whether a reciprocal relationship between frequency of alcohol use and depressive symptoms exists in the general population of adolescents after removing interindividual influences. METHODS: A total of 1,293 Canadian adolescents provided data on depressive symptoms and frequency of alcohol use every 3 months from grade 7 to 11 (1999-2005) for a total of 20 cycles. We used latent curve models with structured residuals, which disaggregate interindividual and intraindividual components to assess the directionality of the relationship. RESULTS: Both drinking frequency and depressive symptoms increased linearly and quadratically over time, with significant interindividual variation around the origin and rate of change. Intercepts and slopes for drinking frequency and depressive symptoms differed by sex and age. After controlling for sex, age, maternal education, sensation seeking, impulsivity and clustering by school, a significant positive association was observed between depressive symptoms and drinking frequency 3 months later (.032 [.004, .060]; p = .024), but no association was observed between drinking frequency and subsequent depressive symptoms (.011 [-.006 to .029]; p = .193). CONCLUSIONS: Our data provide longitudinal evidence that changes in depressive symptoms exceeding one's "normal" level predict increases in drinking frequency. This suggests that teaching youth to recognize and cope with mood changes would be worthwhile.

Measures of nicotine dependence enhance interpretation of number of cigarettes smoked in youth smoking surveillance.

BACKGROUND: Nicotine dependence (ND) symptoms can occur soon after first puff, so that stopping smoking becomes difficult well before 100 cigarettes lifetime is attained. Yet some surveillance systems do not monitor ND symptoms and 100-cigarettes lifetime is used in at least one surveillance system to define current smokers. To assess whether these features limit interpretation of grade-specific data in surveillance, we described smoking and ND symptoms across grade in incident vs. prevalent smokers, and in smokers according to 100-cigarettes lifetime. METHODS: Data were available in an investigation of 1294 grade 7 students from 10 Montreal-area high schools followed every 3 months from grade 7 to 11. Analyses described cigarette consumption, 100-cigarette lifetime consumption, cravings, withdrawal symptoms, mFTQ nicotine dependence and ICD-10 tobacco dependence by grade among past 3-month smokers. RESULTS: Despite low cigarette consumption, 21-30% of grade 7 smokers reported ND symptoms. This increased to 27-44% in grade 8 and remained stable thereafter despite increased cigarette consumption. In grade 7, 10% of all smokers had not attained the 100-cigarette milestone but were already dependent. In grade 8, 9, 10 and 11, these proportions were 12%, 8%, 6% and 6%, respectively. CONCLUSIONS: ND symptoms should be monitored in youth surveillance systems since they tell a different "story" than cigarettes and their appearance may represent a critical "point-of-no-return." Interventions for incident smokers are needed across grades to stop smoking before ND manifests. Without a shift in focus toward incident rather than established smokers, many children who try cigarettes will become addicted.

Parental Cannabis Use Is Associated with Cannabis Initiation and Use in Offspring.

OBJECTIVES: To assess, before legalization in Canada, whether parental cannabis use is associated with initiation of use in adolescent offspring or with use in young-adult offspring. STUDY DESIGN: Data were available in 2 longitudinal studies in Montréal, Canada. In AdoQuest, 1048 parents with children in grade 6 reported past-year cannabis use. Cannabis initiation among offspring was measured in grade 7, 9, and/or 11. In the Nicotine Dependence in Teens study, cannabis use data were available for 584 participants (mean age 24 years) and their parents (ie, 542 offspring-mother pairs, 438 offspring-father pairs). The association between parental and offspring cannabis use was estimated using multivariable logistic regression in both studies. RESULTS: In AdoQuest, grade 6 never-users were 1.8 times more likely to initiate cannabis during high school if their parents reported past-year use. In the Nicotine Dependence in Teens study, the aORs (95% CI) for past-year cannabis use among adult offspring were not different for "mother uses cannabis" (2.8 [1.4-5.8]) or "father uses cannabis" (2.1 [1.2-3.8]). Participants with 1 or 2 cannabis-using parents were 1.7 and 7.1 times more likely to use cannabis, respectively, than participants with non-using parents. CONCLUSIONS: To enable informed decision-making about their own cannabis use, parents need to be aware that children of cannabis users are more likely to use cannabis in adolescence and young adulthood.

Sex Differences in Attaining Cigarette Smoking and Nicotine Dependence Milestones Among Novice Smokers.

There may be sex differences in the response to nicotine, according to findings of studies in animals; however, sex differences in the natural course of cigarette smoking and nicotine dependence are documented in few studies. Prevalent (n = 240 girls; n = 184 boys) and incident (n = 231 girls; n = 184 boys) cigarette smokers from the Nicotine Dependence in Teens Study were followed up to 5 years after first puff, from age 12 to 18 years (1999-2005). We used Cox proportional hazards models to compare time to development of 3 cigarette-use (i.e., whole cigarette; 100 cigarettes lifetime; regular smoking), and 3 nicotine-dependence symptom (i.e., "really need a cigarette"; mentally addicted; physically addicted) milestones across sex. Girls were at higher risk than boys of attaining all milestones; hazard ratios (95% confidence intervals) ranged from 1.35 (1.06, 1.72) for 100 cigarettes lifetime to 1.74 (1.44, 2.10) for "really need a cigarette." Among nonregular smokers, 26% (8%; 43%) and 25% (6%; 44%) more girls than boys reported "really need a cigarette" 1 and 2 years, respectively, after first puff. Preventive interventions may need adjustment to incorporate these findings. Additional research should clarify the relative contribution of biological and social underpinnings of these sex differences.

Reasons for quitting smoking in young adult cigarette smokers.

BACKGROUND: Although most young adult smokers want to quit smoking, few can do so successfully. Increased understanding of reasons to quit in this age group could help tailor interventions, but few studies document reasons to quit in young adults or examine reasons to quit by smoker characteristics. METHODS: In 2011-12, 311 current smokers (age 22-28, M=24.1; 48.9% male, 51.1% female; 50.4% daily smokers) from the Nicotine Dependence in Teens Study completed the Adolescent Reasons for Quitting scale. We assessed differences in the importance of 15 reasons to quit by sex, education, smoking frequency, quit attempt in the past year, perceived difficulty in quitting, and motivation to quit. We also examined differences between participants who discounted the importance of long-term health risks and those who acknowledged such risks. RESULTS: Concerns about getting sick or still smoking when older were considered very important by >70% of participants. Median scores were higher among daily smokers, those who had tried to quit or who expressed difficulty quitting, and those with strong motivation to quit. Discounters (14.5% of participants) were primarily nondaily, low-consumption smokers. Their Fagerström Test for Nicotine Dependence scores did not differ from non-discounters', and 11% (vs. 35.7% of non-discounters) were ICD-10 tobacco dependent. CONCLUSIONS: Novel smoking cessation interventions are needed to help young adult smokers quit by capitalizing on their health concerns. Discounters may need educational intervention to better understand the impact of even "light" smoking on their health before or in conjunction with quit interventions.