Tobacco consumption and quality of life among teachers: a bidirectional problem.

Objective: This study aimed to assess a bidirectional relationship between tobacco consumption and quality of life among Chilean teachers. Participants and methods: A total sample of 647 Chilean teachers was included in a cross-sectional study (71.8% female). Teachers completed a socio-demographic questionnaire, tobacco consumption habits, and the SF-36 questionnaire to assess quality of life. Logistic regression models were employed for statistical analysis of quality of life (physical component summary; mental component summary), and tobacco consumption habits, adjusted for socio-demographic characteristics. Results: A total of 34.2% of teachers were smokers, with the majority (68.7%) being under 45 years old. Smoking teachers demonstrated lower quality of life scores, particularly mental health and emotional problems dimensions, and mental component summary (p < 0.05) versus nonsmoking teachers. Teachers with tobacco consumption had a higher risk of low mental component summary (OR: 1.74; p < 0.001), and those with low mental component summary were more likely to be smokers (OR: 1.77; p < 0.002). Conclusion: These findings indicate that tobacco consumption adversely affects the quality of life of Chilean teachers, especially their mental health. Psychological support should be provided to help teachers cope with work stress and tobacco consumption.

Prevalence, Reach of Anti-smokeless Tobacco Messages and Quit Attempts by Product Type: A Secondary Data Analysis from the Global Adult Tobacco Survey (GATS - 2016-17).

OBJECTIVE: India has the highest number of smokeless tobacco (SLT) products available in different forms, consumed in various ways. The current study aimed to understand the pattern of daily SLT use according to different product categories and whether Quit intention and Quit attempts vary by SLT type and exposure to media messages. METHODS: Data from Global Adult Tobacco Surveys (GATS), 2016-17, was used to find access to media messages and warning labels by SLT type. Quit attempt and Quit intention were calculated for each of the SLT types. Logistic regression analyses were employed to identify whether access to media messages, warning labels influenced, quit intention and attempts vary by SLT type. RESULTS: Khaini or tobacco lime mixture was the most common SLT type consumed by 37% of SLT users, whereas SLT users consuming more than one product accounted for 23% of SLT users. Exposure to media messages and warning labels was high among Gutkha/ paan masala tobacco users (74.7% and 81.2%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (56.1% and 60.0%). Quit attempts and quit intention were high among Gutkha/ paan masala tobacco users (38.3% and 22.3%) and low among oral tobacco (Mishri, Gul, Gudakhu) users (25.3% and 13.6%). Users of Oral tobacco and khaini or tobacco-lime mixture were significantly less likely to attempt quitting (AOR 0.806(95%CI: 0.676-0.962), 0.839(95%CI: 0.736-0.956), and have quit intention (AOR 0.681(95%CI: 0.702-0.976), 0.733(95%CI: 0.627-0.857) compared to Gutkha/ paan masala with tobacco users. CONCLUSION: The reach of media messages and warning labels varies by SLT type. Quit intention and attempts vary by SLT type and access to media messages and warning labels. There is a need to re-strategise the tobacco control Information, Education and Communication (IEC) to reach out with effective messaging to the most unreached.

Associations between gendered racism, racial identity, and nicotine use among Asian American men.

OBJECTIVES: The present study utilized an intersectional framework to examine if two forms of gendered racism, psychological emasculation and messages about Asian American men being undesirable partners, were associated with Asian American men's nicotine use. We also examined the potential mediating roles of two racial identity statuses, racial conformity and racial immersion. METHODS: A sample of 356 Asian American men living in the United States of America (USA) completed a cross-sectional survey via Qualtrics containing measures assessing the aforementioned constructs of interest. The primary analysis examined separate parallel mediation models, situating psychological emasculation and undesirable partner as separate independent variables, racial conformity and racial immersion as parallel mediators, nicotine use as the outcome, and age and employment as covariates. RESULTS: In separate parallel mediation models, the links between psychological emasculation and undesirable partner on one hand, and nicotine use on the other, were completely mediated only by racial conformity, and not significantly mediated by racial immersion. Specifically, greater endorsement of gendered racism was associated with greater conformity with (and internalization of) these gendered racist beliefs, which in turn were associated with greater nicotine use. CONCLUSION: Researchers and practitioners may consider racial conformity as an interventional target to ameliorate Asian American men's nicotine use. Future studies should continue to examine other culturally relevant and/or potentially protective constructs (e.g., on the basis of gender, race, and its intersection) that may mitigate Asian American men's nicotine use.

Nomophobia and Alcohol, Tobacco, and Cannabis Consumption in Adolescents in Galicia.

This study aimed at exploring the association of nomophobia with alcohol, tobacco, and/or cannabis consumption among high school students. We carried out a cross-sectional study among high school and vocational training students in Galicia, Northwest Spain (N = 3,100). Collected data included nomophobia, sociodemographic variables, and alcohol, tobacco, and cannabis consumption. Nomophobia was measured using the validated Nomophobia Questionnaire. Adjusted odds ratios (ORs) and their 95 percent confidence intervals (CIs) were estimated using generalized linear mixed models. More than a quarter of the adolescents (27.7 percent) had nomophobia. We found an association between nomophobia and a high level of tobacco smoking in the last month in boys (OR = 2.16; 95 percent CI: 1.55-3.03). Nomophobia was also associated with higher odds of binge drinking in both genders (girls: OR = 1.86; 95 percent CI: 1.61-3.52; boys: OR = 2.29; 95 percent CI: 1.68-3.13) and with cannabis consumption in boys (OR = 1.74; 95 percent CI: 1.07-2.81). Our findings highlight the importance of a comprehensive investigation of the factors underlying alcohol, tobacco, and cannabis consumption in the adolescent population.

Patterns of Tobacco and Cannabis Use Among Sexual Minority Females and Males From PATH Wave 5: The Role of Sociodemographic and Psychosocial Correlates.

INTRODUCTION: Although sexual minority (SM; vs heterosexual) individuals display higher rates of tobacco and cannabis use, limited research has examined sociodemographic and psychosocial correlates of single and co-use among this population. METHODS: Participants were SM-identifying female (N = 2419; Mage = 27.80; 50.0% racial/ethnic minority) and male (N = 1142; Mage = 30.34; 46.1% racial/ethnic minority) adults from Wave 5 of the Population Assessment of Tobacco and Health study. Multinomial logistic regressions examined sociodemographic (ie, sexual identity, age, race/ethnicity, education, income) and psychosocial (ie, alcohol use, mental health, substance use) correlates of single and co-use (ie, no use [referent], tobacco-only, cannabis-only, co-use), controlling for state cannabis legalization, among SM females and males, separately. RESULTS: The proportions of SM females reporting no use, tobacco-only, cannabis-only, and co-use were 37.9%, 24.0%, 10.5%, and 27.6%, respectively. Among males, 40.6%, 27.8%, 10.1%, and 21.5% reported no use, tobacco-only, cannabis-only, and co-use, respectively. Among females and males, substance use problems were associated with all 3 use groups (vs no use); past-month alcohol use was associated with cannabis-only and co-use; and mental health symptoms were associated with co-use (and cannabis-only in males). Sociodemographic correlates among females were: tobacco-only-identifying as bisexual (vs lesbian), White (vs Black), older, lower education, and lower income; cannabis-only-bisexual, other race (vs White); and co-use-White (vs Hispanic), lower education, and lower income. Among males, sociodemographic correlates were: tobacco-only-older, lower education, and lower income; cannabis-only-Black (vs White) and higher income. CONCLUSIONS: Public health efforts to reduce tobacco and cannabis use among SM adults should target single versus co-use patterns and their corresponding sociodemographic, mental health, and substance use profiles.

A randomized clinical trial testing two implementation strategies to promote the treatment of tobacco dependence in community mental healthcare.

INTRODUCTION: People with serious mental illness (SMI) are more likely to smoke and less likely to receive tobacco treatment. Implementation strategies may address clinician and organizational barriers to treating tobacco in mental healthcare. METHODS: A cluster-randomized trial (Clinic N=13, Client N=610, Staff N=222) tested two models to promote tobacco treatment in community mental healthcare: standard didactic training vs. Addressing Tobacco Through Organizational Change (ATTOC), an organizational model that provides clinician and leadership training and addresses system barriers to tobacco treatment. Primary outcomes were changes in tobacco treatment from clients, staff, and medical records. Secondary outcomes were changes in smoking, mental health, and quality of life (QOL), and staff skills and barriers to treat tobacco. RESULTS: Clients at ATTOC sites reported a significant increase in receiving tobacco treatment from clinician at weeks 12 and 24 (ps<0.05) and tobacco treatments and policies from clinics at weeks 12, 24, 36, and 52 (ps<0.05), vs. standard sites. ATTOC staff reported a significant increase in skills to treat tobacco at week 36 (p=0.05), vs. standard sites. For both models, tobacco use medications, from clients (week 52) and medical records (week 36), increased (ps<0.05), while perceived barriers decreased at weeks 24 and 52 (ps<0.05); 4.3% of clients quit smoking which was not associated with model. QOL and mental health improved over 24 weeks for both models (ps<0.05). CONCLUSIONS: Standard training and ATTOC improve use of evidence-based tobacco treatments in community mental healthcare without worsening mental health, but ATTOC may more effectively address this practice gap.

Human Capital Development Factors and Black Adolescent Tobacco and Cannabis Use.

INTRODUCTION: This study examined the association of four domains of human capital development (cognitive development, social and emotional development, physical health, and mental health) and exclusive and concurrent tobacco and cannabis use (TCU) among black youth. AIMS AND METHODS: Nationally representative annual cross-sectional data for black adolescents (12-17 years; N = 9017) in the National Survey on Drug Use and Health 2015-2019 were analyzed. Analyses examined the influence of human capital factors (cognitive development, social and emotional development, physical health, and mental health) on exclusive and concurrent TCU. RESULTS: In total, 50.4% were males; prevalence of 12-month tobacco use fluctuated insignificantly between 5.6% and 7.6% across survey years. Similarly, prevalence of 12-month cannabis use remained relatively stable around 13%, with no significant linear change. Prevalence of concurrent TCU also fluctuated insignificantly between 3.5% and 5.3%. Investment in cognitive development decreased the odds of tobacco (aOR = 0.58, p < .001), cannabis (aOR = 0.64, p < .001), and concurrent tobacco and cannabis (aOR = 0.58, p < .001) use. Similarly, investment in social and emotional development reduced the odds of tobacco (aOR = 086, p < .001), cannabis (aOR = 0.83, p < .001), and concurrent tobacco and cannabis (aOR = 0.81, p < .001) use. Good physical health reduced the odds of tobacco (aOR = 0.52, p < .1), cannabis (aOR = 0.63, p < .05), and concurrent TCU (aOR = 0.54, p < .05). Major depressive episodes increased the likelihood of cannabis use (aOR = 1.62, p < .001). CONCLUSIONS: Investment in cognitive, social, and emotional aspects of human capital development, and physical health among black youth is protective against TCU. Efforts to sustain human capital development among black adolescents may contribute to reducing TCU disparities. IMPLICATIONS: This is one of few studies to examine human capital development factors and their associations with TCU among black youth. Efforts to eliminate tobacco/cannabis-related disparities among black youth should also invest in social, emotional, cognitive, and physical health development opportunities.

Parental influences on tobacco use and likelihood of future use among sexual minority young adult men and women in the United States.

BACKGROUND AND OBJECTIVES: Limited research has examined mechanisms, including parenting behaviors, contributing to tobacco use disparities among sexual minority young adults (SMYAs). METHODS: Participants were 644 young adult (ages 18-29; 36.5% racial/ethnic minority) women (N = 416; 44.7% bisexual, 7.2% lesbian, 48.1% heterosexual) and men (N = 288; 11.0% bisexual, 13.2% gay, 75.9% heterosexual). Bivariate analyses examined differences among sex-by-sexual identity subgroups in perceived parenting (psychological control, behavioral control, knowledge, autonomy support, warmth, communication), past 30-day cigarette, e-cigarette, and cigar use, and likelihood of future use. Multivariable regression examined associations of sexual identity subgroup and parenting behaviors to tobacco use outcomes among women and men. RESULTS: Bisexual (vs. heterosexual) women reported greater parental psychological control and less autonomy support, warmth, and communication. Bisexual (vs. heterosexual) women had greater odds of past 30-day cigarette and cigar use and greater likelihood of future cigarette and e-cigarette use, and parenting behaviors were associated with past 30-day cigarette (knowledge, warmth), e-cigarette (psychological control, autonomy support, warmth), and cigar use (behavioral control, warmth) and likelihood of future cigarette (psychological control, warmth) and e-cigarette use (autonomy support, communication). Gay (vs. heterosexual) men reported greater parental behavioral control, less knowledge, autonomy support, warmth, and communication. Sexual identity and parenting behaviors were largely not associated with tobacco use among men. DISCUSSION AND CONCLUSIONS: Findings highlight the role of parenting behaviors as potential mechanisms contributing to tobacco use disparities among SMYA women. SCIENTIFIC SIGNIFICANCE: Tobacco prevention/cessation programs should be tailored toward specific SMYA subgroups, combinations of parenting behaviors, and patterns of tobacco use.

Underlying patterns of the co-occurrence of tobacco use and mental health among youth.

We aimed to examine how bidirectional relationships between mental health problems and tobacco use are formed over time by types of tobacco use in recent samples of U.S. youth. Data were drawn from Waves 1-4 of the Population Assessment of Tobacco and Health Study (N = 10,082) and analyzed using cross-lagged panel models. A high level of internalizing problems at Wave 1 predicted conventional cigarette smoking (adjusted odds ratio [AOR] = 1.19, 95% CI = 1.06-1.34) and e-cigarette use (AOR = 1.25, 95% CI = 1.09-1.43) at Wave 2, but not vice versa. Both cigarette smoking and e-cigarette use at Wave 2 tended to persist into Wave 3, which, in turn, increased the risk of subsequent internalizing problems in late adolescence or young adulthood (Wave 4). The bidirectional relationship between tobacco use and internalizing problems seems to begin as a procession from internalizing problems to tobacco use, and then from persistent tobacco use to exacerbated internalizing problems over time.

Sex and Sexual Identity Differences in Poly-tobacco Use and Psychological Distress in U.S. Adults: Results From the National Health Interview Survey.

INTRODUCTION: Poly-tobacco use (PTU), or the concomitant use of two or more nicotine and tobacco products, are a growing public health concern. Adults reporting increased psychological distress (PD) experience profound nicotine and tobacco health-related disparities. Sexual minority (SM) adults report more PTU and higher levels of PD than heterosexuals, yet little is known about patterns of nicotine and tobacco use and its relationship to PD in SM populations. AIMS AND METHODS: The purpose of this study was to investigate sexual identity differences in PD and PTU. Data were drawn from the 2016-2018 National Health Interview Survey (N = 83 017), an annual cross-sectional survey of a nationally representative sample of U.S. adults. PD was assessed using the Kessler Psychological Distress Scale (K6). We fit sex-stratified, weighted, adjusted logistic models to compare PTU and PD by sexual identity. RESULTS: PTU was more prevalent in adults with higher K6 scores. Female adults and SM adults had significantly higher K6 scores and were significantly more likely to experience serious PD when compared to their male and heterosexual counterparts. CONCLUSIONS: The current study provides a snapshot of trends in PTU in relation to PD, gender, and sexual identity. Findings suggest higher rates of both PD and PTU in SM adults. Further research examining the mechanisms underlying this disparity is critical to the development of effective intervention and prevention strategies. IMPLICATIONS: Little is known about sex and sexual identity differences in the relations between patterns of tobacco product use and PD. This study is the first to examine the effect of gender and sexual identity on both PD and PTU. SMs reported higher rates of PD and were more likely to be poly-tobacco users. As new ways of engaging nicotine/tobacco continue to proliferate, health risks will endure especially for marginalized populations. An increased understanding of the psychological and social correlates of PTU in SMs is warranted.

Longitudinal transitions in tobacco use in youth and young adults: A latent transition analysis of the population assessment of tobacco and health study from Wave 1 to 5.

BACKGROUND: Tobacco use by youth and young adults can lead to significant long-term health problems. We aim to understand transitions in tobacco use patterns among these groups and the factors that affect transition patterns. METHODS: Using the five waves of data from the nationally representative Population Assessment of Tobacco and Health (PATH) Study (2013-2019), we conducted latent class analysis and latent transition analysis to understand tobacco use classes and the longitudinal transitions between classes. We also adjusted for covariates, including demographics, individual behaviors, household environment, and psychosocial factors, to capture their effects on class transition probabilities. RESULTS: Three tobacco use behaviors were identified: non-current user (C1), moderate e-cigarette user (C2), and poly-tobacco user (C3). At baseline (Wave 1), 94.4% of participants were classified as C1, 3.2% as C2, and 2.4% as C3, and the distribution shifted towards C2 and C3 over time. Progression to the next class represented the most common transitions (14.1% C2 to C3, 10.7% C1 to C2), while the direct progression from C1 to C3 was rare (0.6%). Being male, White, adult, living in smoking-allowed households, past-year alcohol use, drug use, internalizing problems, and social media follower of tobacco brands were associated with a faster progression to poly-tobacco use. CONCLUSIONS: The transition patterns implied that e-cigarette use might be an intermediate progression from non-current use into poly-tobacco use. Individual behaviors, household environment, and psychosocial factors are associated with elevated risks of progression. The findings may inform tobacco prevention and cessation policies among youth and young adults.

Associations Between Internalizing and Externalizing Symptoms on Subsequent Tobacco Product Initiation and Sustained Use as a Function of Sex Among Adolescents Ages 12-17.

OBJECTIVE: Previous studies have found positive associations between internalizing and externalizing symptoms and the initiation of tobacco use among adolescents. However, few studies have examined the relationship between these symptoms and sustained tobacco use patterns or how they may vary as a function of sex. The current study examined whether these symptoms predict initiation and sustained use of multiple tobacco products within a longitudinal cohort design. METHOD: Waves 1-3 of the Population Assessment of Tobacco and Health Study (2013-2016) were used to assess relationships between internalizing and externalizing symptoms, sex, and tobacco use categories (cigarettes, e-cigarettes, poly-tobacco use, other tobacco use) in 6,170 adolescents (M age = 13.42, SD = 1.10) who were tobacco naive at Wave 1. RESULTS: Internalizing and externalizing symptoms predicted initiation of several tobacco categories at the 2-year follow-up. Examining sustained use patterns revealed a more consistent relationship with externalizing symptoms across tobacco categories, whereas associations with internalizing symptoms were limited. Sex moderated the relationship between elevated internalizing symptoms and increased odds of subsequent e-cigarette and poly-tobacco initiation, with stronger relationships observed among females. In addition, the relationship between elevated externalizing symptoms and sustained other tobacco use was stronger in females as compared with males. CONCLUSIONS: Although both internalizing and externalizing symptoms predict tobacco initiation across several product categories, externalizing symptoms may reflect a more reliable signal of sustained tobacco use in adolescents. Mental health symptoms and subsequent tobacco use differed by sex, with females demonstrating stronger relationships for several products.

Disparities in Tobacco Use by Disability and Type: Findings From the 2019 National Health Interview Survey.

INTRODUCTION: People with disabilities report a higher prevalence of cigarette use than people without disabilities. However, evidence is limited on the relationships between disability type, degree of functional difficulty, and other tobacco product use. METHODS: Data from the 2019 U.S. National Health Interview Survey were used to estimate the prevalence and odds of tobacco product use for 6 disability types and degree of functional difficulty. Bivariate and multivariable analyses conducted in 2021 examined the associations between tobacco product use and disability type. RESULTS: Compared to adults who reported no difficulty, current cigarette use prevalence was higher for adults who reported a lot of difficulty/cannot do at all to vision (21.5% vs 13.1%), hearing (19.6% vs 13.6%), mobility (20.0% vs 12.9%), and cognitive (25.4% vs 12.9%) disability questions. The odds of current cigarette (AOR=1.32), pipe (AOR=1.85), and smokeless tobacco (AOR=1.57) use were significantly higher for adults who reported a lot of difficulty/cannot do at all to any disability question and significantly higher for current cigarette (AOR=1.24), e-cigarette (AOR=1.33), pipe (AOR=1.45), and smokeless tobacco (AOR=1.29) use for adults who reported some difficulty to any disability question than those who reported no difficulty. Pipe use was correlated with mobility difficulty (AOR=1.68), and smokeless tobacco use was correlated with hearing difficulty (AOR=1.95). CONCLUSIONS: People who reported difficulty with vision, hearing, mobility, or cognition had a higher cigarette use prevalence than people without disabilities. Other tobacco use differed by disability type. Future research should tailor tobacco interventions to reduce these disparities.

Longitudinal latent class analysis of tobacco use and correlates among young adults over a 10-year period.

INTRODUCTION: We assessed patterns and correlates, including demographic characteristics, psychological factors, and social role transitions, of young adults' tobacco use over time. METHODS: In the fall of 2010, we recruited a cohort of 3146 students from 11 colleges in North Carolina and Virginia. Participants completed baseline and at least two survey waves between 2010 and 2019. RESULTS: The sample was 49.8% female, 15.7% non-white, and 6.6% Hispanic. Longitudinal latent class analysis revealed a five-class model with distinct patterns and correlates of tobacco use. Limited Use (52.6% of sample) had minimal use. College-Limited Combustible Tobacco Users (18.6%) had moderate probability of cigarette, cigar, and waterpipe smoking, which decreased to no use post-college. Intermittent Sustained Polytobacco Users (10.9%) had low probability of use that continued post-college. College Polytobacco with Continued Cigarette and E-Cigarette Users (14.5%) had high probability of use of cigarette smoking and increasing probability of e-cigarette, both of which continued post-college. Sustained Polytobacco Users (5.7%) had moderate probability of use of tobacco products across all waves. CONCLUSIONS: Patterns of tobacco use varied considerably. In most classes, tobacco use was highest during freshman year and in three classes, use continued post-college. Prevention activities should focus on first-year students and target those at risk for post-college tobacco use.

Psychosocial predictors of longitudinal changes in tobacco and cannabis use among young adults.

INTRODUCTION: In recent years, cigarette use has decreased, but alternative tobacco product and cannabis use has increased in young adults. Thus, research regarding intraindividual changes in tobacco product and cannabis use in this population, and related psychosocial predictors, is warranted. METHODS: We analyzed data from 3,006 young adults (Mage = 24.56 [SD = 4.72], 54.8% female, 31.6% sexual minority, 60.2% racial/ethnic minority) in a 2-year, 5-wave longitudinal study (2018-2020). Latent growth modeling analyzed the outcomes of past 6-month use of cigarettes, e-cigarettes, traditional cigars, little cigars/cigarillos, smokeless tobacco (SLT), hookah, and cannabis across Waves 1-5 among all participants; psychosocial predictors included depressive symptoms, adverse childhood experiences (ACEs), and personality traits. RESULTS: Results indicated decreases in likelihood of using each tobacco product over time, but no significant change in likelihood of cannabis use. Psychosocial predictors of baseline use across products included depressive symptoms and extraversion, as well as ACEs and openness for nearly all products (e.g., except traditional cigars). Psychosocial predictors of less decreases in use likelihood over time included: for cigarettes and traditional cigars, ACEs; for e-cigarettes, extraversion; for little cigars/cigarillos, depressive symptoms and extraversion; for SLT, openness; and for hookah, neuroticism (controlling for sociodemographics). Predictors of greater decreases in likelihood of use over time included: for e-cigarettes and hookah, conscientiousness; and for cannabis, agreeableness. CONCLUSIONS: Interventions to reduce young adults' use might target distinct risk/protective factors for using different products (and combinations). Moreover, results regarding decreasing likelihood of using tobacco products but not cannabis over time warrant replication and explanation in other samples.

Effect of self-regulatory behaviour change techniques and predictors of physical activity maintenance in cancer survivors: a 12-month follow-up of the Phys-Can RCT.

BACKGROUND: Current knowledge about the promotion of long-term physical activity (PA) maintenance in cancer survivors is limited. The aims of this study were to 1) determine the effect of self-regulatory BCTs on long-term PA maintenance, and 2) identify predictors of long-term PA maintenance in cancer survivors 12 months after participating in a six-month exercise intervention during cancer treatment. METHODS: In a multicentre study with a 2 × 2 factorial design, the Phys-Can RCT, 577 participants with curable breast, colorectal or prostate cancer and starting their cancer treatment, were randomized to high intensity exercise with or without self-regulatory behaviour change techniques (BCTs; e.g. goal-setting and self-monitoring) or low-to-moderate intensity exercise with or without self-regulatory BCTs. Participants' level of PA was assessed at the end of the exercise intervention and 12 months later (i.e. 12-month follow-up), using a PA monitor and a PA diary. Participants were categorized as either maintainers (change in minutes/week of aerobic PA ≥ 0 and/or change in number of sessions/week of resistance training ≥0) or non-maintainers. Data on potential predictors were collected at baseline and at the end of the exercise intervention. Multiple logistic regression analyses were performed to answer both research questions. RESULTS: A total of 301 participants (52%) completed the data assessments. A main effect of BCTs on PA maintenance was found (OR = 1.80, 95%CI [1.05-3.08]) at 12-month follow-up. Participants reporting higher health-related quality-of-life (HRQoL) (OR = 1.03, 95%CI [1.00-1.06] and higher exercise motivation (OR = 1.02, 95%CI [1.00-1.04]) at baseline were more likely to maintain PA levels at 12-month follow-up. Participants with higher exercise expectations (OR = 0.88, 95%CI [0.78-0.99]) and a history of tobacco use at baseline (OR = 0.43, 95%CI [0.21-0.86]) were less likely to maintain PA levels at 12-month follow-up. Finally, participants with greater BMI increases over the course of the exercise intervention (OR = 0.63, 95%CI [0.44-0.90]) were less likely to maintain their PA levels at 12-month follow-up. CONCLUSIONS: Self-regulatory BCTs improved PA maintenance at 12-month follow-up and can be recommended to cancer survivors for long-term PA maintenance. Such support should be considered especially for patients with low HRQoL, low exercise motivation, high exercise expectations or with a history of tobacco use at the start of their cancer treatment, as well as for those gaining weight during their treatment. However, more experimental studies are needed to investigate the efficacy of individual or combinations of BCTs in broader clinical populations. TRIAL REGISTRATION: NCT02473003 (10/10/2014).

Incidence of Cigarette Smoking Relapse Among Individuals Who Switched to e-Cigarettes or Other Tobacco Products.

Importance: Although e-cigarettes are not approved as a cessation device, many who smoke believe that e-cigarettes will help them quit cigarette smoking successfully. Objective: To assess whether people who recently quit smoking and who had switched to e-cigarettes or another tobacco product were less likely to relapse to cigarette smoking compared with those who remained tobacco free. Design, Setting, and Participants: This cohort study analyzed a nationally representative sample of US households that participated in 4 waves of the Population Assessment of Tobacco and Health Study (conducted 2013 through 2017), combining 2 independent cohorts each with 3 annual surveys. Eligible participants were individuals who smoked at baseline, had recently quit at the first follow-up, and completed the second follow-up survey. Exposures: Use of e-cigarettes or alternate tobacco products at follow-up 1 after recently quitting smoking. Main Outcomes and Measures: Weighted percentage of participants with over 12 months abstinence by follow-up 2. Results: Of a total of 13 604 participants who smoked cigarettes at baseline, 9.4% (95% CI, 8.7%-10.0%) recently had quit smoking (mean age, 41.9; 95% CI, 39.7-46.6 years; 641 [43.2%] women) Of these, 22.8% (95% CI, 19.7%-26.0%) had switched to e-cigarettes, with 17.6% (95% CI, 14.8%-20.5%) using them daily. A total of 37.1% (95% CI, 33.7%-40.4%) used a noncigarette tobacco product and 62.9% (95% CI, 59.6%-66.3%) were tobacco free. Rates of switching to e-cigarettes were highest for those who were in the top tertile of tobacco dependence (31.3%; 95% CI, 25.0%-37.7%), were non-Hispanic White (26.4%; 95% CI, 22.3%-30.4%), and had higher incomes (annual income ≥$35 000, 27.5%; 95% CI, 22.5%-32.4% vs <$35 000, 19.3%; 95% CI, 16.3%-22.3%). At follow-up 2, unadjusted relapse rates were similar among those who switched to different tobacco products (for any tobacco product: successfully quit, 41.5%; 95% CI, 36.2%-46.9%; relapsed with significant requit, 17.0%; 95% CI, 12.4%-21.6%; currently smoking, 36.2%; 95% CI, 30.9%-41.4%). Controlled for potential confounders, switching to any tobacco product was associated with higher relapse rate than being tobacco free (adjusted risk difference, 8.5%; 95% CI, 0.3%-16.6%). Estimates for those who switched to e-cigarettes, whether daily or not, were not significant. While individuals who switched from cigarettes to e-cigarettes were more likely to relapse, they appeared more likely to requit and be abstinent for 3 months at follow-up 2 (17.0%; 95% CI, 12.4%-21.6% vs 10.4%; 95% CI, 8.0%-12.9%). Conclusions and Relevance: This large US nationally representative study does not support the hypothesis that switching to e-cigarettes will prevent relapse to cigarette smoking.

Tobacco consumption in Chilean university students and associations with anthropometry, eating habits and sleep quality multicentric study.

Tobacco Consumption (TC) is one of the main causes of the deterioration of health; however, there are few studies linking its consumption with diet and nutrition among university students. The objective of this study is to test the association of smoking with anthropometry, diet and sleep quality among Chilean university students. Cross-sectional study. University students (n = 1454) from the North, South and Central parts of Chile were evaluated. A self-assessment survey was used to evaluate healthy and unhealthy eating habits. Nutritional status was evaluated by Body Mass Index (BMI). Two surveys were used to assess sleep quality: the Questionnaire of Insomnia and the Epworth Scale. Finally, participants were consulted about Tobacco Consumption: 30% of the students consume tobacco and have a higher score in unhealthy food consumption, less frequent weekly breakfast consumption (< 0.01), lower daily fruit (< 0.01) and vegetables (< 0.05) consumption, higher alcohol consumption (< 0.05) and daily junk food consumption (< 0.05) compared to non-consuming students. Men who consume tobacco present greater insomnia (< 0.001), sleep latency (< 0.001) and daytime sleepiness (< 0.05) compared to non-consumers; and women who consume tobacco have a higher weight (< 0.001) and BMI (< 0.01). When performing logistic regression, tobacco consumption is positively associated with major alcohol consumption (< 0.001), whereas fish (< 0.05) and vegetable (< 0.05) consumption was negatively associated. In conclusion, students of both sexes who smoke have more unfavorable health factors and a poorer quality of life.

Association between electronic nicotine delivery systems and electronic non-nicotine delivery systems with initiation of tobacco use in individuals aged < 20 years. A systematic review and meta-analysis.

BACKGROUND: This systematic review described the association between electronic nicotine delivery systems and electronic non-nicotine delivery systems (ENDS/ENNDS) use among non-smoking children and adolescents aged <20 years with subsequent tobacco use. METHODS: We searched five electronic databases and the grey literature up to end of September 2020. Prospective longitudinal studies that described the association between ENDS/ENNDS use, and subsequent tobacco use in those aged < 20 years who were non-smokers at baseline were included. The Joanna Briggs Institute Critical Appraisal Checklist was used to assess risk of bias. Data were extracted by two reviewers and pooled using a random-effects meta-analysis. We generated unadjusted and adjusted risk ratios (ARRs) describing associations between ENDS/ENNDS and tobacco use. FINDINGS: A total of 36 publications met the eligibility criteria, of which 25 were included in the systematic review (23 in the meta-analysis) after exclusion of overlapping studies. Sixteen studies had high to moderate risk of bias. Ever users of ENDS/ENNDS had over three times the risk of ever cigarette use (ARR 3·01 (95% CI: 2·37, 3·82; p<0·001, I2: 82·3%), and current cigarette use had over two times the risk (ARR 2·56 (95% CI: 1·61, 4·07; p<0·001, I2: 77·3%) at follow up. Among current ENDS/ENNDS users, there was a significant association with ever (ARR 2·63 (95% CI: 1·94, 3·57; p<0·001, I2: 21·2%)), but not current cigarette use (ARR 1·88 (95% CI: 0·34, 10·30; p = 0·47, I2: 0%)) at follow up. For other tobacco use, ARR ranged between 1·55 (95% CI 1·07, 2·23) and 8·32 (95% CI: 1·20, 57·04) for waterpipe and pipes, respectively. Additionally, two studies examined the use of ENNDS (non-nicotine devices) and found a pooled adjusted RR of 2·56 (95% CI: 0·47, 13·94, p = 0.035). CONCLUSION: There is an urgent need for policies that regulate the availability, accessibility, and marketing of ENDS/ENNDS to children and adolescents. Governments should also consider adopting policies to prevent ENDS/ENNDS uptake and use in children and adolescents, up to and including a ban for this group.

Prevalence and Social Contextual Factors of Smokeless Tobacco Use: Insights from Schools of Delhi, India.

BACKGROUND: It was observed that adult users start tobacco use in childhood or adolescence. The influence of digital and print media, social acceptance among peers, and in order to mimic role models from films attracts youth towards tobacco. Hence this study was conducted to assess the prevalence of smokeless tobacco (SLT) use among school-going adolescents with the assessment of the influencing factors such as exposure at school, home, and public places along with the role of various media in SLT use by adolescents. METHODS: Cross sectional study was conducted with 860 students of class 9th -12th enrolled in schools. Purposive sampling of three schools was done from the study area to reach desired sample size. All the students of class 9th - 12th within selected schools were given chance to participate in the study. Data collection was done using pretested modified Global Youth Tobacco Survey (GYTS) questionnaire. RESULTS: Consumption of smokeless tobacco (SLT) was observed in 79 (11%) of 714 subjects. Significantly higher proportion (18.4%) of study subjects consumed SLT who were exposed to tobacco at school premises and 19.1% of study subjects who were exposed to teacher using SLT in schools compared to non-exposed group. (p=0.016). It was observed that 8.1% of subjects without any exposure to tobacco at home and 9.8% of subjects without exposure to tobacco at outdoor public space consumed SLT. Consumption of SLT use was highest (16.7%) among subjects exposed to tobacco advertisement or promotion through social media (p=0.04). CONCLUSION: High prevalence of SLT was detected among adolescents in school. Factors such as exposure to tobacco at home, public places, school and school teacher using SLT, exposure of tobacco advertisement and promotion via different modes of media was found to be significantly associated with the use of SLT in the adolescents of school.
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