Exploring the reasons for wanting a peer partner to be physically active among women living with and beyond a cancer diagnosis: a content analysis.

BACKGROUND: Initiating and maintaining exercise is challenging for women during and post-cancer treatment. Adopting a peer partner model to provide social support to be active may contribute to lasting behaviour change of both partners. Despite this, finding a "like peer" can be challenging. PURPOSE: To explore women's reasons for seeking an online exercise partner following a diagnosis with cancer (through  www.activematch.ca ). We also examined women's potential sociodemographic and cancer-related differences by reported reasons for wanting an exercise partner. METHODS: Individuals creating an ActiveMatch profile completed demographic and physical activity questions (N = 199, Mage(SD) = 51.9(10.8) years), including an open-ended question regarding their "reason for wanting an exercise partner". An inductive content analysis was completed focusing on the participants' peer exercise partner preferences. Additional chi-square tests were run to assess whether participants differed based on sociodemographic and cancer-related characteristics and their motivations to be active by category of "reason for wanting an exercise partner" endorsed in the open-ended question. RESULTS: The participants' reasons for wanting an exercise partner were coded into seven categories, with most participants highlighting the reasons of motivation (52.3%), social support (48.7%), and accountability and adherence (26.6%). Women < 50 years of age were more likely to report accountability and adherence-related preferences for a partner. Those reporting endorsing weight loss as their primary reason for becoming active were more likely to be categorized as wanting a peer partner for motivation. CONCLUSIONS: While finding a peer partner can be challenging, matching women living with and beyond a cancer diagnosis based on their reason for wanting an exercise partner, as well as their reasons for wanting to be active, may be important to build successful peer exercise partnerships.

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.

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.

Health-Promoting School Culture: How Do We Measure it and Does it Vary by School Neighborhood Deprivation?

BACKGROUND: The context in which school-based health-promoting interventions are implemented is key for the delivery and success of these interventions. However, little is known about whether school culture differs by school deprivation. METHODS: Using data from PromeSS, a cross-sectional study of 161 elementary schools in Québec, Canada, we drew from the Health Promoting Schools theoretical framework to develop four measures of health-promoting school culture (i.e., school physical environment, school/teacher commitment to student health, parent/community engagement with the school, ease of principal leadership) using exploratory factor analysis. One-way ANOVA with post-hoc Tukey-Kramer analyses was used to examine associations between each measure and social and material deprivation in the school neighborhood. RESULTS: Factor loadings supported the content of the school culture measures and Cronbach's alpha indicated good reliability (range: 0.68-0.77). As social deprivation in the school neighborhood increased, scores for both school/teacher commitment to student health and parent/community engagement with the school decreased. IMPLICATIONS FOR SCHOOL HEALTH POLICY, PRACTICE, AND EQUITY: Implementation of health-promoting interventions in schools located in socially deprived neighborhoods may require adapted strategies to address challenges related to staff commitment and parental and community involvement. CONCLUSION: The measures developed herein can be used to investigate school culture and interventions for health equity.

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.

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.

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 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.

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).

Exergaming in Youth and Young Adults: A Narrative Overview.

Because of rapid evolution in exergaming technology and content, the literature on the benefits of exergaming needs ongoing review. Updated syntheses incorporating high-quality critical assessments of included articles can provide cutting-edge evidence to drive research and practice. The objectives were to summarize evidence from systematic reviews and meta-analyses on the association between exergaming and (1) physical activity (PA), sedentary behavior and energy expenditure (EE); and (2) body composition, body mass index (BMI), and other weight-related outcomes among persons younger than 30 years; and to summarize recommendations in the articles retained. The Elton B. Stephens Co. (ESBSCO) database for reviews was searched from January 1995 to July 2019. Data on study characteristics, findings, and recommendations for future research, game design, and intervention development were extracted from articles that met the inclusion criteria, quality scores were attributed to each article, and a narrative overview of the evidence was undertaken. Twenty-eight reviews, with 5-100 articles per review, were identified. Seventeen assessed the evidence on the association between exergaming and PA, EE, and/or sedentary behavior, and 11 examined the association with body composition, BMI, or other weight-related outcomes. There was substantial heterogeneity across reviews in objectives, definitions, and methods. A positive relationship between exergaming and EE is well documented, but whether exergaming increases PA or changes body composition is not established. The reviews retained also provide evidence that exergaming is a healthier alternative to sedentary behavior and that it can be an exciting enjoyable pastime for youth, which adds variety in PA options for health and dietary interventions. Exergaming is likely more physically health promoting than traditional videogames because of higher EE and possibly improved physical fitness and body composition. Longitudinal studies are needed to assess if exergaming reduces sedentary time, has other health benefits, or is a sustainable behavior. We recommend that exergaming interventions be designed using behavior change theory, and that future reviews use standard review criteria and include recommendations for research, game design, and intervention development.

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.

A mixed-methods evaluation of a community physical activity program for breast cancer survivors.

BACKGROUND: Given the benefits of physical activity for health and survival, clinicians are seeking opportunities for cancer patients to become more active independent of rehabilitation programs that are small, time-limited, and location specific. This proof-of-concept study evaluated a community-based physical activity program (Curves™) for increasing physical activity among women diagnosed and treated for breast cancer. METHODS: Women were recruited from a breast cancer clinic through physician chart review. In study 1, women (n = 14) received the community physical activity memberships (Curves™), guidelines, and a pedometer. This group was compared to women (n = 16) who received physical activity guidelines and a pedometer on changes in physical activity. In study 2, women (n = 66) completed self-report questionnaires after Curves™ memberships expired to evaluate the program. Study 3 was a qualitative study exploring the benefits and barriers of the physical activity program among women (n = 6) who attended Curves™ regularly. RESULTS: Provision of memberships to a community-based physical activity program did not improve physical activity levels beyond educational and information resources. However, there are a number of advantages to community-based physical activity programs, and the women offer a number of suggestions for improvements for community physical activity opportunities aimed at breast cancer survivors. CONCLUSIONS: Women-only community-based physical activity programs may be a viable option to help introduce women to get active after treatment. Trial registration ISRCTN, ISRCTN14747810. Registered on 18 October 2017-Retrospectively registered, https://doi.org/10.1186/ISRCTN14747810.

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.

Validity of electrical impedance myography to estimate percent body fat: comparison to bio-electrical impedance and dual-energy X-ray absorptiometry.

BACKGROUND: Assessment of percent body fat (%BF) is typically measured with bioelectrical impedance (BIA) as a proxy for dual-energy X-ray absorptiometry (DXA). Notably, poorer agreement between BIA and DXA among persons who are overweight or obese has been reported. The use of electrical impedance myography (EIM) as a proxy for DXA has not been validated. The objective was to evaluate an EIM device and two multi-frequency BIA devices with the reference standard (DXA) stratified by weight status and gender. METHODS: In a convenience sample of 82 adults, %BF assessed by EIM and two BIA devices was compared to DXA. Agreement between devices was tested with intra-class correlation coefficients (ICC) and Bland-Altman plots. RESULTS: Agreement between DXA and EIM (ICC=0.77) was poorer than the agreement between either BIA device with DXA (ICC>0.87). Stratified by sex, agreement between EIM and DXA was greater for men than women (ICC=0.81 and ICC=0.61, respectively). Stratified by BMI, agreement between EIM and DXA was best for normal-weight individuals (ICC=0.89) and progressively poorer for overweight (ICC=0.80) and obese (ICC=0.67) individuals. Bland-Altman plots revealed wide limits of agreement and an increase in EIM mean difference as average %BF increased. Similar trends were seen in BIA assessments. CONCLUSIONS: EIM and BIA substantially underestimate %BF in overweight and obese individuals. Wide limits of agreement coupled with variable ICC limit device interchangeability with one another and limit clinical utility.

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.

Socioeconomic status is associated with the prevalence and co-occurrence of risk factors for cigarette smoking initiation during adolescence.

OBJECTIVES: To investigate whether the prevalence or co-occurrence of risk factors for cigarette smoking initiation differ by socioeconomic status (SES) and whether SES interacts with risk factors to increase initiation. METHODS: In 2005, 1451 5th grade never smokers (mean age 10.7 years) in Montréal, Canada, provided baseline data, with follow-up in 6th and/or 7th grade (2005-2007). Poisson regression analyses estimated the association between 13 risk factors and initiation. Excess risk of each risk factor in low vs. moderate-high SES participants was assessed. RESULTS: Cigarette smoking was initiated by 9.4% of participants (n = 137). Low SES was associated with a higher prevalence and co-occurrence of risk factors. The estimated association of most risk factors with initiation was similar across SES, although participants from low SES neighborhoods whose mothers had no university education had three times the risk of initiation [ARR = 3.10 (1.19, 8.08)] compared to more affluent peers. CONCLUSIONS: Tobacco control efforts must address the higher prevalence and co-occurrence of risk factors in lower SES contexts since these may render initiation highly probable in many lower SES youth.

Gender differences in risk factors for cigarette smoking initiation in childhood.

INTRODUCTION: We investigated whether established risk factors for initiating cigarette smoking during adolescence (parents, siblings, friends smoke; home smoking rules, smokers at home, exposure to smoking in cars, academic performance, susceptibility to smoking, depressive symptoms, self-esteem, school connectedness, use of other tobacco products) are associated with initiation in preadolescents, and whether the effects of these factors differ by gender. METHODS: In spring 2005, baseline data were collected in self-report questionnaires from 1801 5th grade students including 1553 never-smokers (mean age=10.7years), in the longitudinal AdoQuest I Study in Montréal, Canada. Follow-up data were collected in the fall and spring of 6th grade (2005-2006). Poisson regression analyses with robust variance estimated the effects of each risk factor on initiation and additive interactions with gender were computed to assess the excess risk of each risk factor in girls compared to boys. RESULTS: 101 of 1399 participants in the analytic sample (6.7% of boys; 7.7% of girls) initiated smoking during follow-up. After adjustment for age, gender and maternal education, all risk factors except academic performance and school connectedness were statistically significantly associated with initiation. Paternal and sibling smoking were associated with initiation in girls only, and girls with lower self-esteem had a significant excess risk of initiating smoking in 6th grade. CONCLUSIONS: Risk factors for smoking initiation in preadolescents mirror those in adolescents; their effects do not differ markedly by gender. Preventive programs targeting children should focus on reducing smoking in the social environment and the dangers of poly-tobacco use.