Trajectories of smoking from adolescence to early adulthood and their psychosocial risk factors

Longitudinal impacts of adverse childhood experiences on multidimensional health outcomes: Predicting trajectories in mental, physical, and behavioral health

BACKGROUND

Adverse childhood experiences (ACEs) elevate the risk of poor health later in life.

OBJECTIVE

This study aims to provide a more comprehensive investigation of the multidimensional health risks associated with ACEs, to address a gap in the understanding of their longitudinal impact on mental, physical, and behavioral health domains.

PARTICIPANTS AND SETTING

This study included 6, 504 participants (51.61 % females) from the National Longitudinal Study of Adolescent to Adult Health (1994-2018).

METHODS

We utilized latent class growth analysis to identify trajectories from adolescence to adulthood in three health domains: depression (Mental Health, MH), self-report physical health (SRH), and binge drinking frequency (BDF). Binary logistic regression was then used to assess the unique contributions of different types of ACEs to these longitudinal health trajectories.

RESULTS

Three to four trajectories were identified for MH (consistently low, decreasing, increasing), SRH (consistently low, decreasing, increasing, consistently high), and BDF (consistently low, decreasing, moderate). Regression results showed that experience of emotional abuse and witnessed community violence elevated the risk associated with unfavorable trajectories in the mental health and behavioral health domains, respectively.

CONCLUSIONS

Individual ACEs differentially predicted mental, physical, and behavioral health trajectories, potentially through various pathways. Prevention of ACEs could mitigate health risks for adolescents and young adults across these domains.

Predictors of E-cigarette and Cigarette Use Trajectory Classes from Early Adolescence to Emerging Adulthood Across Four Years (2013-2017) of the PATH Study

INTRODUCTION

This study examines predictors of trajectories of cigarette and e-cigarette use among a cohort of US adolescents transitioning into young adulthood. Comparing trajectories of each tobacco product is important to determine if different intervention targets are needed to prevent progression to daily use.

METHODS

Latent trajectory class analyses identified cigarette and e-cigarette use (never, ever excluding past 12-month, past 12-month (excluding past 30-day (P30D)), P30D 1-5 days, P30D 6+ days) trajectory classes, separately, among US youth (12-17; N = 10,086) using the first 4 waves (2013-2017) of data from the nationally representative PATH Study. Weighted descriptive analyses described the class characteristics. Weighted multinomial logistic regression analyses examined demographic, psychosocial, and behavioral predictors of class membership.

RESULTS

Younger adolescents 12-15 years had lower tobacco use compared to 16-17 year olds and less stable classes. In the 16-17 year group, there were five unique trajectories of cigarette smoking, including a Persistent High Frequency class. Four e-cigarette use trajectories were identified; but not a persistent use class. Shared predictors of class membership for cigarettes and e-cigarettes included mental health problems, other tobacco use, marijuana use, and poorer academic achievement. Male sex and household tobacco use were unique e-cigarette trajectory class predictors.

CONCLUSIONS

There was no evidence that initiation with e-cigarettes as the first product tried was associated with cigarette progression (nor cigarettes as first product and e-cigarette progression). Interventions should focus on well-established risk factors such as mental health and other substance use to prevent progression of use for both tobacco products.

IMPLICATIONS

Using nationally representative data and definitions of use that take into account frequency and recency of use, longitudinal 4-year trajectories of e-cigarette and cigarette use among US adolescents transitioning into young adulthood were identified. Results among 16-17-year olds revealed a class of persistent high frequency cigarette smoking that was not identified for e-cigarette use. Cigarette use progression was not associated with e-cigarettes as the first product tried. Risk factors for progression of use of both products included mental health and other substance use, which are important prevention targets for both tobacco products.

Lifetime Sunburn Trajectories and Associated Risks of Cutaneous Melanoma and Squamous Cell Carcinoma Among a Cohort of Norwegian Women

Importance

To our knowledge, no study has prospectively investigated sunburn patterns over age periods from childhood to adulthood and their associations with skin cancer risk.

Objective

To identify lifetime trajectories of sunburns and compare the association between these trajectories and subsequent risk of cutaneous melanoma and squamous cell carcinoma (cSCC).

Design, Setting, and Participants

This population-based cohort study included participants from the Norwegian Women and Cancer Study, established in 1991, with follow-up through 2018. Baseline questionnaires were issued from 1991 to 2007, with follow-up questionnaires every 5 to 7 years. Data analysis was performed from March 16, 2021, to December 4, 2021.

Exposures

Participants reported pigmentation factors, sunbathing vacations, and indoor tanning. Annual frequencies of sunburns were reported for childhood, adolescence, and adulthood.

Main Outcomes and Measures

Information on cancer diagnoses, emigration, and death were obtained through linkage to the Cancer Registry of Norway using the unique personal identification number of Norwegian citizens.

Results

Of the 172 472 women (age range, 31-70 years) who returned questionnaires, 169 768 received questions about sunburns at study inclusion. Five classes (stable low, low-moderate-low, low to high, high to low, and stable high) of individual lifetime sunburn trajectories with similar shapes were estimated in 3 samples up to 39 years (n = 159 773), up to 49 years (n = 153 297), and up to 59 years (n = 119 170). Mean follow-up ranged from 14.3 to 19.5 years in the 3 samples, during which 1252 to 1774 women were diagnosed with incident primary melanoma and 739 to 871 women with incident primary cSCC. With hazard ratios (HRs) and 95% CIs estimated using a Cox proportional hazards model, the stable high and high to low trajectories showed statistically significant increased melanoma and cSCC risks compared with the stable low trajectory across all samples (≤39 years for stable high and high to low trajectories: melanoma: HR, 1.50 [95% CI, 1.28-1.75] and HR, 1.44 [95% CI, 1.20-1.73]; cSCC: HR, 1.51 [95% CI, 1.22-1.87] and HR, 1.47 [95% CI, 1.14-1.91]). Other trajectories showed increased risk, though generally weaker and mainly estimates that were not statistically significant. There was no statistically significant heterogeneity between melanoma and cSCC estimates.

Conclusion and Relevance

This cohort study showed that high sunburn frequency throughout life was associated with increased melanoma and cSCC risk. Furthermore, sunburns in childhood are especially important for subsequent risk of these skin cancers. Avoiding sunburns throughout life, in particular in childhood, is therefore crucial.

Associations of attention problems and family context in childhood and adolescence with young adult daily smoking: General and smoking-specific family contexts

BACKGROUND

The potential heterogeneity in daily smoking across young adulthood has been relatively understudied. Relatedly, the unique and joint associations of earlier risk factors with young adults' daily smoking largely remain unknown. To address these gaps, this work identified subgroups of daily smoking trajectories during young adulthood and linked them to earlier attention problems and smoking-specific and general family context.

METHODS

Data came from the Seattle Social Development Project, a longitudinal study following a community sample (N = 808). Participants' daily smoking was measured from ages 21-33. Earlier attention problems were assessed at ages 14-16 and 18. Earlier smoking-specific and general family factors were assessed at ages 10-16 and 18.

RESULTS

Growth mixture models produced four profiles: chronic daily smokers, increasers, decreasers, and no-daily smokers. Results from multinomial logistic regressions revealed that earlier attention problems and smoking-specific family factors may contribute to daily smoking in the early 20 s, whereas earlier general family context provided protection for trajectories of daily smoking characterized by changes in the late 20 s and early 30 s DISCUSSION: Selective prevention strategies that expand people's repertoire of healthy options to address attention problems might be helpful, considering the possibility of using tobacco as means to mitigate attention problems. Our findings also highlight the importance of nurturing earlier general family context, a relatively overlooked dimension in smoking prevention efforts, to facilitate young adult smokers' desistence from daily smoking, particularly those who have attention problems in adolescence.

Developmental trajectories of tobacco use and risk factors from adolescence to emerging young adulthood: a population-based panel study

Background

Adolescence to young adulthood is a critical developmental period that determines lifelong patterns of tobacco use. We examined the longitudinal trajectories of tobacco use, and risk factors for its use, and explored the association between the trajectories of mobile phone dependency and smoking throughout the life-course among adolescents and young adults.

Methods

Data of 1,723 subjects (853 boys and 870 girls) were obtained from six waves of the Korean Children and Youth Panel Survey (mean age = 13.9–19.9 years). To identify trajectories of smoking and mobile phone dependency, group-based trajectory modelling (GBTM) was conducted. A multinomial logistic regression analysis was performed to identify the characteristics of the trajectory groups.

Results

GBTM identified four distinct smoking trajectories: never smokers (69.1%), persistent light smokers (8.7%), early established smokers (12.0%), and late escalators (10.3%). Successful school adjustment decreased the risk of being an early established smoker (odds ratio [OR] 0.46, 95% confidence interval [CI] 0.27–0.78). The number of days not supervised by a guardian after school was positively associated with the risk of being an early established smoker (OR 1.96, 95% CI 1.23–3.13). Dependency on mobile phones throughout the life-course was positively associated with the risk of being a persistent light smoker (OR 4.04, 95% CI 1.32–12.34) or early established smoker (OR 8.18, 95% CI 4.04–16.56).

Conclusions

Based on the group-based modeling approach, we identified four distinctive smoking trajectories and highlight the long-term effects of mobile phone dependency, from early adolescence to young adulthood, on smoking patterns.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-14070-3.

Proactive and Reactive Recruitment of Black and Latino Adolescents in a Vaping Prevention Randomized Controlled Trial

The purpose of this study was to assesses the effectiveness of proactive and reactive methods in the recruitment of Black and Latino adolescents into a vaping-prevention randomized controlled trial (RCT). This study also assessed the characteristics of study participants by recruitment method. Proactive recruitment strategies included study presentations at community-based events (e.g., festivals, health fairs), school-based events (e.g., back-to-school events, after-school programs), and recreational centers (e.g., fitness centers, malls). Reactive recruitment strategies included study advertisements via social media (e.g., Facebook posts shared by local community-based organizations), word of mouth, and an academic-based research hub. Using proactive and reactive methods, in a 4-month period, 362 Black and Latino adolescents were successfully enrolled into the RCT. Compared to the proactive method, adolescents screened reactively were equally likely to be eligible but significantly more likely to enroll in the study. However, both proactive and reactive strategies made notable contributions to the overall recruitment effort. Moreover, proactive and reactive methods attracted adolescents with different characteristics (e.g., age, gender, sexual orientation, etc.). These findings suggest that both proactive and reactive recruitment strategies should be implemented for studies interested in recruiting a diverse sample of Black and Latino adolescents.

The Longitudinal Impact of Arrest, Criminal Conviction, and Incarceration on Smoking Classes

Background

Previous research identifies three to six smoking classes over the life course. This study expands on earlier work about the impact of getting arrested in early adulthood on individuals' smoking classes, by including additional, more serious measures of justice system involvement (JSI), specifically criminal conviction and incarceration. Family processes were examined as secondary outcomes.

Method

Data from seventeen waves (1997-2015) of the National Longitudinal Survey of Youth were analyzed via group-based trajectory modeling (GBTM), multinomial logistic regression, and latent transition analyses (LTA). Smoking behavior through age 36 is examined. Marital status, parenthood, juvenile smoking, juvenile arrest, and prior crime victimization experiences were also included in the models.

Results

Seven smoking classes were revealed: two low- or non-smoking classes; two decreasing classes; and three "problem" smoking (e.g., increasing, or chronic) classes. All JSI types increased the likelihood of being in a smoking class rather than a non-smoking class. Arrest and conviction had larger odds ratios than the most severe form of JSI-incarceration-with respect to respondents' likelihood of being in an increasing or chronic smoking class. Juvenile smoking was the most robust predictor of smoking in adulthood.

Conclusion

Involvement with the justice system in all forms remains a negative health factor that increases smoking. While not typically a goal of criminal justice officials, attention should be paid to this unintended consequence of involvement with the justice system-increased smoking-given smoking's connection to serious illnesses such as cancer. As juvenile smoking is a strong risk factor for adult smoking, smoking prevention and cessation programs should start with youth; and be part of the offerings to individuals ensnared in the justice system at all levels.

Association between Diet Quality and Adolescent Wheezing: Effect Modification by Environmental Tobacco Smoke Exposure

RATIONALE

Protective effects of a high quality diet on respiratory health, particularly among youths exposed to environmental tobacco smoke (ETS), are unknown.

OBJECTIVES

To assess if a higher quality diet is associated with improved respiratory symptoms and lung function among adolescents, and if these associations are modified by ETS exposure.

METHODS

This was a cross-sectional study on 7,026 nonsmoking adolescents of the 2003-2012 National Health and Nutrition Examination Survey. Diet quality was assessed using the Healthy Eating Index-2010 score (HEI-2010), categorized into quintiles. ETS exposure was measured using serum cotinine, dichotomized as high (>2.99 ng/ml) or low (≤2.99 ng/ml). Outcomes included the presence of wheezing and cough symptoms in the past 12 months, and in a sub-group, spirometric lung function. Survey-design adjusted logistic and linear models evaluated associations between diet and 1) respiratory symptoms and 2) lung function, respectively, and assessed the interaction between HEI-2010 and serum cotinine.

RESULTS

While there were no significant associations between diet quality and respiratory symptoms, there was a significant interaction between HEI-2010 and serum cotinine on wheezing (pint = 0.011). In models stratified by serum cotinine, adolescents with high serum cotinine and the healthiest diet (5th quintile HEI-2010) experienced lower wheezing odds (OR, 0.10; 95% CI, 0.02-0.61), compared to those with the poorest diet (1st quintile HEI-2010). In contrast, among adolescents with low serum cotinine, there were no significant differences in any respiratory symptoms between those with the highest, compared to the lowest diet quality. Of the sub-group with spirometry data (n = 3,166), there was a trend towards better lung function with improving diet quality, although this did not achieve statistical significance. There was no effect modification by ETS exposure on the relationship between diet quality and lung function.

CONCLUSIONS

Consuming a higher quality diet was associated with lower wheezing odds in adolescents with substantial ETS exposure. While longitudinal studies are needed, public health interventions to improve diet quality in vulnerable, environmentally-exposed populations merit consideration.

Predicting Adolescent Electronic Cigarette Use: Differences by Never, Ever, and Current Users

OBJECTIVE

Rising rates of adolescent electronic cigarette (ECIG) use is concerning because it can lead to adverse health outcomes and increased risk behavior. There are known predictors of ever versus never ECIG use, but less are known about risk factors for ever versus current use of ECIGs. Problem behavior theory (PBT) was used to evaluate possible risk factors for different ECIG use status.

METHODS

Participants were 573 high school students who completed questionnaires measuring ECIG use, as well as constructs within the Social Environment, Perceived Environment, Personality, and Behavior domains of PBT. Multinomial logistic regression was used to evaluate how predictor variables differentiated between participants who reported (a) never use, (b) ever ECIG use, or (c) current ECIG use.

RESULTS

Adolescents were more likely to endorse ever ECIG use than never use if they reported peer ECIG use, perceived more benefits and fewer costs (e.g., health) of ECIG use, higher extraversion, alcohol and cigarette use (never vs. ever vs. past 30 days), or attended a school with a higher percentage of socioeconomically disadvantaged students. Adolescents were more likely to report current ECIG use than ever ECIG use if they perceived fewer costs of ECIG use or used cannabis in their lifetime (yes/no).

CONCLUSIONS

PBT variables differentiated between ever ECIG use and never ECIG use. However, these variables did not differentiate between ever and current ECIG use. Identifying unique risk factors for current versus ever ECIG use is important to understanding persistent ECIG use and subsequent targeted prevention and intervention programs.

Developing Graphic Messages for Vaping Prevention Among Black and Latino Adolescents: Participatory Research Approach

Background

As an important transition stage in human development, adolescence is a critical window for vaping prevention. There is a substantial gap in communication research on vaping prevention among racial and ethnic minority groups. Their representation is essential to develop, implement, and disseminate innovative and effective interventions for vaping prevention.

Objective

The aim of this study is to describe the participatory research (PR) procedures used with Black and Latino adolescents to develop culturally and linguistically appropriate graphic messages for vaping prevention.

Methods

This PR study used a qualitative, user-centered design method. We conducted a series of focus groups with 16 Black and Latino adolescents to develop culturally and linguistically appropriate graphic messages for vaping prevention. The biobehavioral model of nicotine addiction provided a framework for the development of the graphic messages. Participants met 4 times to provide iterative feedback on the graphic messages until they reached a consensus on overall quality and content.

Results

At baseline, the participants’ mean age was 15.4 years (SD 1.4). Of the participants, 50% (8/16) were female, 88% (14/16) were heterosexual, 56% (9/16) were Black/African American, and 44% (7/16) were Hispanic/Latino. A total of 12 of the 16 participants (75%) chose to participate in the English sessions. Participants decided to create four types of graphic messages: (1) financial reward, (2) health reward, (3) social norms, and (4) self-efficacy. Meeting 4 times with the 4 groups provided sufficient opportunities for iterative feedback on the graphic messages to reach a consensus on overall quality and content.

Conclusions

It is feasible and practical to build PR among Black and Latino adolescents focused on vaping prevention. Adolescents added innovation and creativity to the development of culturally and linguistically appropriate graphic messages for vaping prevention. Appropriate staffing, funding, and approaches are key for successful PR efforts among Black and Latino adolescents. Future research is needed to evaluate the impact of the graphic messages on vaping prevention.

Correlates of tobacco product reuptake and relapse among youth and adults in the USA: findings from the PATH Study Waves 1-3 (2013-2016)

OBJECTIVE

This study examines sociodemographic and tobacco use correlates of reuptake and relapse to tobacco use across a variety of tobacco products (cigarettes, electronic nicotine delivery systems, cigars, hookah and smokeless tobacco) among the US population.

DESIGN

Data were drawn from the first three waves (2013-2016) of the Population Assessment of Tobacco and Health Study, a nationally representative, longitudinal cohort study of US youth (ages 12-17) and adults (ages 18+). Reuptake (past 30-day use among previous tobacco users) and relapse (current use among former established users; adults only) were examined among previous users of at least one type of tobacco product at Wave 1 (W1) or Wave 2 (W2) (n=19 120 adults, n=3039 youth). Generalised estimating equations were used to evaluate the association between demographic and tobacco use characteristics at baseline, with reuptake/relapse at follow-up, over two 1-year periods (W1-W2 and W2-Wave 3).

RESULTS

Any tobacco product reuptake occurred in 7.8% of adult previous users and 30.3% of youth previous users. Correlates of any tobacco reuptake included being male, non-Hispanic black and bisexual in adults, but race and sexual orientation were not consistent findings in youth. Among recent former users, relapse rates were greater (32.9%). Shorter time since last use and greater levels of tobacco dependence showed the strongest association with any tobacco relapse.

DISCUSSION

Continued clinical and public health efforts to provide adults with tools to cope with tobacco dependence symptoms, especially within the first year or two after quitting, could help prevent relapse.

Interparental Relationship Adjustment, Parenting, and Offspring's Cigarette Smoking at the 10-Year Follow-up

Familial influences on children's cigarette smoking have been established, yet little is known about whether these influences in childhood relate to offspring's smoking behavior in adolescence. Drawing on prior work showing that children's emotional and behavioral problems (i.e., internalizing and externalizing behavior problems) are influenced by both interparental and parent-child relationships, we examined whether children's emotional and behavioral problems would further predict their smoking behavior in adolescence. Two hundred and twenty-one families were followed from early childhood (M_age  = 4.05 years) to the 10-year follow-up. Interparental relationship adjustment and disagreement, dysfunctional parenting, and children's emotional and behavioral problems were reported by both mothers and fathers. Adolescents' self-reported cigarette smoking status was assessed along with other demographic variables. Using structural equation modeling, the hypothesis was only supported based on mothers' reports, suggesting that early couple relationship adjustment and parenting relate to children's emotional and behavioral problems, which associate with smoking behavior in adolescence. When the hypothesized model was tested with emotional and behavioral problems separately, only behavioral problems were related to adolescent smoking for both parents. Findings from this study support models of family environment and children's behavioral problems, providing evidence of the long-term links with adolescent cigarette smoking behaviors. Further family-focused research and preventive work, for instance, testing the combination of partner support and parent training, are needed.

Parents, Peers, and Trajectories of Cigarette Smoking: A Group-Based Approach

This study examines the independent, relative, and additive associations between both parent and peer role models and longitudinal patterns of smoking across adolescence and early adulthood. An analysis of data from the National Longitudinal Study of Adolescent to Adult Health (N=10,166) reveals at least four distinct trajectories of smoking across ages 13-35: (1) non-smokers; (2) late peak (almost 10 cigarettes per day around age 30); (3) an early peak group that reached roughly 10 cigarettes per day around age 20 and declined; and (4) a high group that increased during adolescence and early adulthood and then remained high. Parent and peer smoking behaviors were associated with trajectory group membership net of controls for sociodemographic characteristics, parental SES, parent-child relations, and the availability of cigarettes in the family home. Parents and peers appear to have at least some independent associations net of each other, but their combined effects are powerful.

Young adult cancer risk behaviours originate in adolescence: a longitudinal analysis using ALSPAC, a UK birth cohort study

BACKGROUND

An estimated 40% of cancer cases in the UK in 2015 were attributable to cancer risk behaviours. Tobacco smoking, alcohol consumption, obesity, and unprotected sexual intercourse are known causes of cancer and there is strong evidence that physical inactivity is associated with cancer. These cancer risk behaviours co-occur however little is known about how they pattern longitudinally across adolescence and early adulthood. Using data from ALSPAC, a prospective population-based UK birth cohort study, we explored patterns of adolescent cancer risk behaviours and their associations with cancer risk behaviours in early adulthood.

METHODS

Six thousand three hundred fifty-one people (46.0% of ALSPAC participants) provided data on all cancer risk behaviours at one time during adolescence, 1951 provided data on all cancer risk behaviours at all time points. Our exposure measure was quartiles of a continuous score summarising cumulative exposure to cancer risk behaviours and longitudinal latent classes summarising distinct categories of adolescents exhibiting similar patterns of behaviours, between age 11 and 18 years. Using both exposure measures, odds of harmful drinking (Alcohol Use Disorders Identification Test-C ≥ 8),daily tobacco smoking, nicotine dependence (Fagerström test ≥4), obesity (BMI ≥30), high waist circumference (females: ≥80 cm and males: ≥94 cm, and high waist-hip ratio (females: ≥0.85 and males: ≥1.00) at age 24 were estimated using logistic regression analysis.

RESULTS

We found distinct groups of adolescents characterised by consistently high and consistently low engagement in cancer risk behaviours. After adjustment, adolescents in the top quartile had greater odds of all outcomes in early adulthood: nicotine dependency (odds ratio, OR = 5.37, 95% confidence interval, CI = 3.64-7.93); daily smoking (OR = 5.10, 95% CI =3.19-8.17); obesity (OR = 4.84, 95% CI = 3.33-7.03); high waist circumference (OR = 2.48, 95% CI = 1.94-3.16); harmful drinking (OR = 2.04, 95% CI = 1.57-2.65); and high waist-hip ratio (OR = 1.88, 95% CI = 1.30-2.71), compared to the bottom quartile. In latent class analysis, adolescents characterised by consistently high-risk behaviours throughout adolescence were at higher risk of all cancer risk behaviours at age 24, except harmful drinking.

CONCLUSIONS

Exposure to adolescent cancer risk behaviours greatly increased the odds of cancer risk behaviours in early adulthood. Interventions to reduce these behaviours should target multiple rather than single risk behaviours and should focus on adolescence.

Preventing Smoking Progression in Young Adults: the Concept of Prevescalation

As adolescents cross the threshold to young adulthood, they encounter more opportunities to engage in or accelerate previously discouraged or prohibited behaviors. Young adults, therefore, are more apt to initiate cigarette smoking and, more importantly, to accelerate their use if they tried and experimented as an adolescent. Preventing the escalation and entrenchment of smoking in the young adult years is critically important to reducing tobacco's long-term health toll. However, traditional interventions for youth have focused on preventing smoking initiation, and interventions for adults have focused on smoking cessation; both have failed to address the needs of young adults. We introduce the concept of "prevescalation" to capture the need and opportunity to prevent the escalation of risk behaviors that typically occur during young adulthood, with a focus on the example of cigarette smoking. Prevescalation negates the notion that prevention has failed if tobacco experimentation occurs during adolescence and focuses on understanding and interrupting transitions between experimentation with tobacco products and established tobacco use that largely occur during young adulthood. However, since risk behaviors often co-occur in young people, the core concept of prevescalation may apply to other behaviors that co-occur and become harder to change in later adulthood. We present a new framework for conceptualizing, developing, and evaluating interventions that better fit the unique behavioral, psychosocial, and socio-environmental characteristics of the young adult years. We discuss the need to target this transitional phase, what we know about behavioral pathways and predictors of cigarette smoking, potential intervention considerations, and research challenges.

The Interplay Between Tobacco Dependence and Sleep Quality Among Young Adults

Objective/Background: Sleep disturbances are considered among the negative consequences of smoking. However, the relationship between sleep quality and smoking among young adults, a population in which the prevalence of smoking is highest, has scarcely been examined. The current study aimed at examining differences in sleep indices, assessed by both subjective and objective (actigraphy) measures, between smokers and nonsmokers, and whether such differences are associated with levels of nicotine dependence. Participants: Eighty-six young (19-28 years old) volunteers, of them 46 nonsmokers (69.6% women) and 40 regular smokers (70.0% women) smoking at least 10 cigarettes a day. Methods: The participants completed the State-Trait Anxiety Inventory, Beck Depression Inventory, Brief Questionnaire on Smoking Urges, the Fagerstrom Test for Nicotine Dependence, and the Pittsburgh Sleep Quality Index. Their sleep was monitored objectively for one week using an actigraph. Results: Smokers' self-reported sleep quality was similar to that of nonsmokers. However, actigraphy data pointed to lower sleep continuity in smokers compared to nonsmokers as reflected by increased wake time after sleep onset (Mean ± SD: 18.56 ± 15.29 vs. 11.21 ± 11.19, p < .01) and decreased sleep efficiency (Mean ± SD: 95.63 ± 3.53 vs. 97.23 ± 2.62, p < .012). Total sleep time and sleep onset latency did not differ between the groups. Notably, severity of nicotine dependence was negatively associated with sleep efficiency (β = -.32; p < .05). Conclusion: Young adult smokers have lower sleep continuity without necessarily subjectively experiencing their sleep as poor. Nevertheless, their lower sleep continuity is related to their level of nicotine dependence.

Examining Arrest and Cigarette Smoking in Emerging Adulthood

Background:

Despite prior studies, transitions in smoking patterns are not fully understood. Getting arrested may alter an individual’s smoking pattern through processes proscribed by the criminological labeling theory. This study examined how arrest during emerging adulthood altered smoking behavior during subsequent years and whether there were differential effects by race/ethnicity and gender.

Methods:

We analyzed 15 waves of data from the National Longitudinal Survey of Youth 1997. Multinomial logistic regressions were performed using Stata software version 14.

Results:

For both genders, arrested black men and women had the most distinct smoking transitions (both increases and decreases) as compared with their non-arrested counterparts. Among men, particularly black males, arrest in early adulthood was associated with the men transitioning to both increased and decreased smoking. Patterns in smoking transitions for women were less clear, suggesting that women’s smoking may be influenced by factors not in the models. Women had a low probability of starting to smoke or increasing smoking if they were never arrested between 18 and 21 years of age.

Conclusions:

The results for transitioning into increased smoking offer some support for labeling theory processes. Other findings suggest that arrest may lead to some men reducing or quitting smoking. Early adulthood arrest may serve to “shock the system” and contribute to males altering their prior smoking behavior.

Implications:

Tobacco use over the life course, particularly across different racial and ethnic groups, remains understudied. This study contributes to the literature using a nationally representative sample to examine the effect of getting arrested in emerging adulthood on cigarette use during subsequent years. In conducting the study, investigators combined theories and methodological approaches from 2 complementary disciplines: public health and criminal justice. Because criminal justice policymakers tend to focus on issues like ex-offender unemployment, public health officials can provide guidance regarding the effect of justice system involvement on smoking, particularly given the adverse health outcomes of using cigarettes.

Retail outlets prompt associative memories linked to the repeated use of nicotine and tobacco products among alternative high school students in California

Numerous studies have examined how youth are influenced by the presence of tobacco retail outlets that use point-of-sale marketing tactics to promote nicotine and tobacco products. The current investigation extends this research by assessing whether tobacco retail outlets function as environmental cues that prompt associative memories linked to the repeated use of cigarettes, electronic cigarettes, and cigars. Students (N = 1060) from 29 alternative high schools in California were recruited into a three-year cohort study. A repeated measures latent profile analysis was conducted to identify latent subgroups of students. Analyses suggested the presence of one subgroup of students that did not use nicotine and tobacco products and five subgroups of students that used multiple products. A multinomial logistic regression revealed that images of gas stations, convenience stores, and liquor stores presented in the first year of the study prompted spontaneous associations in memory that increased the odds a student would belong to one of the five subgroups that repeatedly used nicotine and tobacco products over a three-year period. These findings suggest that tobacco retail outlets may act as environmental cues that prompt the use of addictive products among at-risk youth. Policymakers should consider implementing strategies that reduce the potency and prevalence of these cues.

Smoking Trajectory Classes and Impact of Social Smoking Identity in Two Cohorts of U.S. Young Adults

This study describes cigarette smoking trajectories, the influence of social smoker self-identification (SSID), and correlates of these trajectories in two cohorts of U.S. young adults: a sample from the Chicago metropolitan area (Social Emotional Contexts of Adolescent and Young Adult Smoking Patterns [SECAP], n = 893) and a national sample (Truth Initiative Young Adult Cohort Study [YA Cohort], n = 1,491). Using latent class growth analyses and growth mixture models, five smoking trajectories were identified in each sample: in SECAP: nonsmoking (n = 658, 73.7%), declining smoking (n = 20, 2.2%), moderate/stable smoking (n = 114, 12.8%), high/stable smoking (n = 79, 8.9%), and escalating smoking (n = 22, 2.5%); and in YA Cohort: nonsmoking (n = 1,215, 81.5%), slowly declining smoking (n = 52, 3.5%), rapidly declining smoking (n = 50, 3.4%), stable smoking (n = 139, 9%), and escalating smoking (n = 35, 2.4%). SSID was most prevalent in moderate/stable smoking (35.5% SECAP), rapidly declining smoking (25.2% YA Cohort), and nonsmoking. Understanding nuances of how smoking identity is formed and used to limit or facilitate smoking behavior in young adults will allow for more effective interventions to reduce tobacco use.

Association between dimensions of the psychosocial and physical work environment and latent smoking trajectories: a 16-year cohort study of the Canadian workforce

BACKGROUND

This study aimed to determine the number of latent smoking trajectories among Canadians employed in the workforce over a 16-year period, and if latent trajectories in dimensions of the physical and psychosocial work environment were associated with specific smoking trajectories.

METHODS

We studied 5461 employed adults from the longitudinal Canadian National Population Health Survey. Daily cigarette consumption was measured biannually from 1994 to 2010. Work environment factors (skill discretion, decision authority, psychological demands, job insecurity, physical exertion and workplace social support) were measured in 1994 and then from 2000 to 2010 using an abbreviated form of the Job Content Questionnaire. Smoking and work environment trajectories were derived using group-based trajectory modelling. Associations between work environment trajectory classes and smoking trajectory classes were estimated using multinomial logistic regression.

RESULTS

Four latent smoking trajectories were seen: non-smokers; ceasing smokers (consuming ~14 cigarettes/day in 1994 and 0 in 2008-2010); smokers (consuming ~7 cigarettes/day between 1994 and 2010); and heavy smokers (consuming ~22 cigarettes/day in 1994 and ~14 in 2010). Lower skill discretion, high psychological demands, high physical exertion and low social support trajectories were associated with membership in the heavy smoking trajectory compared with the non-smoking trajectory. Low decision authority, high psychological demands and high physical exertion trajectories were associated with membership in the ceasing compared with the non-smoking trajectory.

CONCLUSIONS

Certain physical and psychosocial work environment trajectories were associated with heavy and ceasing smoking behaviours over a 16-year period. The role of the work environment should be further considered in smoking cessation programmes.

Thirty-day smoking in adolescence is a strong predictor of smoking in young adulthood

Thirty-day smoking, although a widely used measure of adolescent smoking (age 12-16), has been questioned as an accurate measure of young adult (age 26-30) smoking behavior, particularly when critiquing studies linking use of e-cigarettes with subsequent cigarette smoking. We used logistic regression to test two measures of 30-day adolescent smoking as predictors of young adult smoking in the National Longitudinal Survey of Youth 1997. Adjusting for psychosocial covariates, compared to those who smoked zero days in the past 30 days in adolescence, odds of any past-30-day smoking in young adulthood ranged from 2.85 (95% CI: 1.85-4.37) for those who smoked 1 day to 4.81 (3.50-6.59) for those who smoked daily as adolescents, and adjusted odds of daily smoking in young adulthood ranged from 1.99 (1.24-3.18) to 4.69 (3.42-6.43). Compared with adolescent never smokers, adjusted odds of any past-30-day smoking in young adulthood among adolescent former smokers was 2.11 (1.77-2.53), and among adolescent current smokers, ranged from 3.03 (2.22-4.14) for those who smoked 1-5 cigarettes per month to 8.19 (5.80-11.55) for those who smoked daily. Adjusted odds of daily smoking in young adulthood were 2.49 (2.12-2.91) for adolescent former smokers and, among adolescent current smokers, ranged from 2.54 (1.92-3.37) for those who smoked 1-5 cigarettes per month to 8.65 (6.06-12.35) for those who smoked daily. There is a strong dose-response relationship between 30-day smoking in adolescence-even a single day in the month-and 30-day and daily smoking in young adulthood.

Trajectories of risk behaviors across adolescence and young adulthood: The role of race and ethnicity

INTRODUCTION

Despite important advances of longitudinal research in substance use behaviors, most studies stratify analyses by gender or race, which limits the ability to directly compare the likelihood of a particular developmental pathway across demographic groups. Thus, there is critical need for well-designed research to examine the associations of race/ethnicity with developmental trajectories of substance use behaviors across adolescence through adulthood.

METHODS

Using an accelerated longitudinal design, we examined behaviors across ages 12-31 from Waves I-IV of the National Longitudinal Study of Adolescent to Adult Health. We performed growth mixture modeling, resulting in estimated trajectories over time. Next, we assessed the association between race/ethnicity and trajectory membership using multinomial logistic regression.

RESULTS

Five trajectories resulted for marijuana use, four for cigarette smoking, three for smokeless tobacco use and number of days drunk, and two trajectories for heavy episodic drinking. Controlling for gender and family socioeconomic status, African Americans and Hispanics were less likely than non-Hispanic Whites to use cigarettes or smokeless tobacco early or to use alcohol heavily.

CONCLUSIONS

Substance use behavior development follows different pathways for US adolescents and young adults, with some individuals experimenting earlier in adolescence and others beginning to use later in adolescence or in early adulthood. We extend developmental knowledge about these behaviors by demonstrating that the patterns of behavior vary by race/ethnicity; members of lower-risk trajectories (those involving later or no initiation of substance use) are more likely to be African American or Hispanic than to be non-Hispanic White.

Discontinuous Patterns of Cigarette Smoking From Ages 18 to 50 in the United States: A Repeated-Measures Latent Class Analysis

INTRODUCTION

Effective cigarette smoking prevention and intervention programming is enhanced by accurate understanding of developmental smoking pathways across the life span. This study investigated within-person patterns of cigarette smoking from ages 18 to 50 among a US national sample of high school graduates, focusing on identifying ages of particular importance for smoking involvement change.

AIMS AND METHODS

Using data from approximately 15,000 individuals participating in the longitudinal Monitoring the Future study, trichotomous measures of past 30-day smoking obtained at 11 time points were modeled using repeated-measures latent class analyses. Sex differences in latent class structure and membership were examined.

RESULTS

Twelve latent classes were identified: three characterized by consistent smoking patterns across age (no smoking; smoking < pack per day; smoking pack + per day); three showing uptake to a higher category of smoking across age; four reflecting successful quit behavior by age 50; and two defined by discontinuous shifts between smoking categories. The same latent class structure was found for both males and females, but membership probabilities differed between sexes. Although evidence of increases or decreases in smoking behavior was observed at virtually all ages through 35, 21/22 and 29/30 appeared to be particularly key for smoking category change within class.

CONCLUSIONS

This examination of latent classes of cigarette smoking among a national US longitudinal sample of high school graduates from ages 18 to 50 identified unique patterns and critical ages of susceptibility to change in smoking category within class. Such information may be of particular use in developing effective smoking prevention and intervention programming.

IMPLICATIONS

This study examined cigarette smoking among a national longitudinal US sample of high school graduates from ages 18 to 50 and identified distinct latent classes characterized by patterns of movement between no cigarette use, light-to-moderate smoking, and the conventional definition of heavy smoking at 11 time points via repeated-measures latent class analysis. Membership probabilities for each smoking class were estimated, and critical ages of susceptibility to change in smoking behaviors were identified.

One-Year Smoking Trajectories Among Established Adult Smokers With Low Baseline Motivation to Quit

INTRODUCTION

The majority of smokers do not intend to quit in the near term, making unmotivated smokers a key group to target in public health efforts. Although it is often assumed that continuing smokers will have stable rates of smoking over time, limited research has addressed this issue, particularly among smokers not seeking treatment. In the current study, the aims were to (1) characterize the trajectory of naturalistic smoking among unmotivated smokers and (2) examine relationships between naturalistic smoking trajectories and other smoking-related variables.

METHODS

The study sample comprised 579 control-group (ie, untreated) smokers within a parent clinical trial, who completed a total of nine assessments over 1 year.

RESULTS

Trajectory modeling identified four smoking trajectory groups: stable (72%), shallow decreasers (20%), steep decreasers (5%), and increasers (3%). Membership in the decreasing groups was associated with higher motivation to quit, greater history of quit attempts, and higher cigarettes per day. Females were more likely to be in the increasing versus stable group.

CONCLUSIONS

Findings provide needed information on stability and change in cigarette consumption over the course of 1 year among an untreated sample of smokers and identified baseline sociodemographic and smoking-related predictors of smoking trajectory group. Refining understanding of these groups is critical in updating population-based tobacco policy modeling efforts and informing cessation induction efforts that capitalize on naturalistic changes in smoking rate over time.

IMPLICATIONS

In the current study, we found that approximately 25% of smokers who endorsed low quit motivation at baseline reduced their cigarette consumption over the course of a year, while 3% increased their cigarette consumption and the majority of smokers (72%) maintained a stable pattern. Refining understanding of smoking trajectories is critical in updating population-based tobacco policy modeling efforts and informing cessation induction efforts that capitalize on naturalistic changes in smoking rate over time.

Lack of Preventive Health Behaviors in the Early Forties: The Role of Earlier Trajectories of Cigarette Smoking From Adolescence to Adulthood

OBJECTIVE

To study the degree to which individuals in different trajectories of cigarette smoking from adolescence to the early forties are similar or different in terms of lack of preventive health behaviors (e.g., underuse of preventive health services, unhealthy eating habits) in early midlife.

METHODS

Participants came from a community-based random sample of residents in two upstate New York counties (N = 548). Data were collected from adolescence to early midlife (mean age = 43 years, standard deviation [SD] = 2.8) at seven time points. Using growth mixture modeling, we statistically identified the number of smoking trajectories. Logistic regression analysis was used to study the relationship between the probabilities of participants' smoking trajectory group membership and lack of preventive behaviors in early midlife.

RESULTS

Five trajectory groups of cigarette smokers were identified. With controls, as compared with the nonsmoker trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory groups were significantly associated with a higher likelihood of lack of preventive health behaviors (adjusted odds ratio [AOR] = 3.49 and 4.02 respectively). In addition, as compared to the quitter/decreaser trajectory group, higher probabilities of belonging to the heavy/continuous smoker trajectory group and the late starter trajectory group were also significantly associated with a higher likelihood of lack of preventive health behaviors (AOR = 3.51 and 4.04 respectively).

CONCLUSIONS

Intervention programs may consider focusing on heavy/continuous smokers and late starters in programs designed to promote adequate use of preventive health services and healthy general lifestyles in early midlife.

Body mass index, body dissatisfaction and adolescent smoking initiation

BACKGROUND

Smoking influences body weight, but there is little evidence as to whether body mass index (BMI) and body dissatisfaction increase smoking initiation in adolescents.

METHODS

We evaluated the association between measured BMI, body dissatisfaction and latent classes of smoking initiation (never smokers, experimenters, late onset regular smokers, early onset regular smokers) in the Avon Longitudinal Study of Parents and Children. In observational analyses we used BMI (N=3754) and body dissatisfaction at age 10.5 years (N=3349). In Mendelian randomisation (MR) analysis, we used a BMI genetic risk score of 76 single nucleotide polymorphisms (N=4017).

RESULTS

In females, higher BMI was associated with increased odds of early onset regular smoking (OR: 1.11, 95% CI: 1.04, 1.18) compared to being a never smoker, but not clearly associated with experimenting with smoking (OR: 1.04, 95% CI: 0.99, 1.10) or late onset regular smoking (OR: 1.01, 95% CI: 0.94, 1.09). No clear evidence was found for associations between BMI and smoking initiation classes in males (p-value for sex interaction≤0.001). Body dissatisfaction was associated with increased odds of late-onset regular smoking (OR: 1.71, 95% CI: 1.32, 1.99) in males and females combined (P-value for sex interaction=0.32). There was no clear evidence for an association between the BMI genetic risk score and smoking latent classes in males or females but estimates were imprecise.

CONCLUSIONS

BMI in females and body dissatisfaction in males and females are associated with increased odds of smoking initiation, highlighting these as potentially important factors for consideration in smoking prevention strategies.

How does early adulthood arrest alter substance use behavior? Are there differential effects by race/ethnicity and gender?

PURPOSE

Much criminal justice research has ignored racial/ethnic and gender differences in substance use subsequent to criminal justice involvement. This paper investigated how early adulthood arrest (i.e., 18 to 21 years of age) influences individuals' subsequent transitions from non-substance use to substance use, and substance use to non-substance use through age 30. We also consider if these relationships differ by race/ethnicity and gender. Processes proscribed by labeling theory subsequent to getting arrested are considered.

METHODS

We analyzed 15 waves of data from the National Longitudinal Survey of Youth 1997. Multinomial logistic regressions were performed using Stata software version 14.

RESULTS

We found racial/ethnic differences in the effect of arrest on subsequent substance use, particularly marijuana. Being arrested was associated with shifting non-binge drinkers and non-marijuana users into binge drinking and marijuana use; as well as shifting binge drinkers and marijuana users into non-use. This pattern was most evident among White and Black men. For Black men, the association between arrest and both becoming a binge drinker and becoming a non-binge drinker was experienced most strongly during their early twenties. Women's patterns in substance use transitions following an arrest were less clear than for the men.

CONCLUSION

Some results, particularly transitioning into marijuana use, offer qualified support for processes proscribed through labeling theory. Findings that arrest shifts individuals into non-marijuana use suggest that factors not accounted for by labeling theory - arrest serving as a teachable moment for those using substances - may be at play.

Trajectories of Cigarette Smoking From Teens to Young Adulthood: 2000 to 2013

PURPOSE

To identify trajectories of smoking behaviors of a cohort of youth followed through young adulthood from 2000 to 2013.

DESIGN

The Minnesota Adolescent Community Cohort study, a population-based cohort study.

SETTING

Nationwide, originating in the Midwestern United States.

PARTICIPANTS

Cohort of youth surveyed for 14 years beginning at ages 12 to 16 (N = 4241 at baseline; 59% recruitment rate).

MEASURES

Main variable of interest was the number of days smoked in the past 30 days. Also included time-varying and time-invariant covariates.

ANALYSIS

We utilized growth mixture modeling to group individuals into trajectories over time.

RESULTS

We identified 5 distinct trajectories: nonsmokers (59.5%), early-onset regular smokers (14.2%), occasional smokers (11.5%), late-onset regular smokers (9.4%), and quitters (5.3%). Adjusted models showed that early- and late-onset regular smokers (compared to nonsmokers) had lower odds of attending or graduating from a 4-year college ( P < .05). Participants in all smoking classes compared to nonsmokers had greater odds of having more close friends who smoked ( P < .05).

CONCLUSION

Our results show that individuals in their teens through young adulthood can be classified into 5 smoking trajectories. More people in this age range remained abstainers than found in most previous studies; however, a sizable group was identified as regular smokers by the time they reached young adulthood. Interventions targeted at teens, including those that address social and environmental influences, are clearly still needed to prevent escalation of smoking as they move toward young adulthood.

Smoking Cessation in Adolescents: targeted approaches that work

Smoking Cessation in adolescents can be considered in a developmental context to enable the clinician to individualise the appropriate assessment and management of the young person they are seeing whether it is in a primary or tertiary care setting. Adolescence is a time of rapid neurocognitive and hormonal change with these factors affected by personality and behavioural factors as well as family, cultural and psychosocial context. Adolescents are uniquely vulnerable to smoking initiation and nicotine addiction throughout these years. Increased awareness of the risks of smoking and using opportunities to assess and intervene regarding smoking cessation are integral to clinical practice for all clinicians seeing young people. This review will discuss the demographics of adolescent smoking, risk factors, assessing smoking and nicotine addiction, the importance of brief interventions, the evidence base for appropriate interventions, particularly in high risk groups and will emphasise innovative training for health professionals in adolescent smoking cessation.

Beyond experimentation: Five trajectories of cigarette smoking in a longitudinal sample of youth

The first goal of this study was to identify the most appropriate measure of cigarette smoking for identifying unique smoking trajectories among adolescents; the second goal was to describe the resulting trajectories and their characteristics. Using 15 annual waves of smoking data in the National Longitudinal Survey of Youth 1997 (NLSY97), we conducted an exploratory latent class growth analysis to determine the best of four outcome variables for yearly smoking (cigarettes per day on days smoked, days smoked per month, mean cigarettes per day, and total cigarettes per month) among individuals aged 12 to 30 (n = 8,791). Days smoked per month was the best outcome variable for identifying unique longitudinal trajectories of smoking and characteristics of these trajectories that could be used to target different types of smokers for prevention and cessation. Objective statistics were used to identify four trajectories in addition to never smokers (34.1%): experimenters (13.6%), quitters (8.1%), early established smokers (39.0%), and late escalators (5.2%). We identified a quitter and late escalator class not identified in the only other comparable latent class growth analysis. Logistic regressions were used to identify the characteristics of individuals in each trajectory. Compared with never smokers, all trajectories except late escalators were less likely to be black; experimenters were more likely to be out of school and unemployed and drink alcohol in adolescence; quitters were more likely to have a mother with a high school degree/GED or higher (versus none) and to use substances in adolescence and less likely to have ever married as a young adult; early established smokers were more likely to have a mother with a high school diploma or GED, be out of school and unemployed, not live with both parents, have used substances, be depressed, and have peers who smoked in adolescence and to have children as young adults and less likely to be Hispanic and to have ever married as young adults; and late escalators were more likely to be Hispanic, drink alcohol, and break rules in adolescence and less likely to have ever married as young adults. Because of the number of waves of data analyzed, this analysis provided a clearer temporal depiction of smoking behavior and more easily distinguishable smoking trajectories than previous analyses. Tobacco control interventions need to move beyond youth-focused approaches to reach all smokers.

Life Course Changes in Smoking by Gender and Education: A Cohort Comparison Across France and the United States

Widening of educational disparities and a narrowing female advantage in mortality stem in good part from disparities in smoking. The changes in smoking and mortality disparities across cohorts and countries have been explained by an epidemic model of cigarette use but are also related to life course changes. To better describe and understand changing disparities over the life course, we compare age patterns of smoking in three cohorts and two nations (France and the United States) using smoking history measures from the 2010 French Health Barometer (N = 20,940) and the 2010 U.S. National Health Interview Survey Sample Adult File (N = 20,444). The results demonstrate statistically significant widening of gender and educational differences from adolescence to early and middle adulthood, thus accentuating the disparities already emerging during adolescence. In addition, the widening disparities over the life course have been changing across cohorts: Age differences in educational disparities have grown in recent cohorts (especially in France), while age differences in gender disparities have narrowed. The findings highlight the multiple sources of inequality in smoking and health in high-income nations.

Sociodemographic and Psychological Characteristics of Very Light Smoking Among Women in Emerging Adulthood, National Survey of Drug Use and Health, 2011

Introduction

Although smoking prevalence and average cigarette consumption have declined, very light smoking (5 or fewer cigarettes per day) has increased. Very light smoking is common among young adult women. This study examines the differences between the sociodemographic and psychosocial factors associated with women in emerging adulthood who are very light smokers and similar women who are at other smoking levels.

Methods

The sample consisted of 9,789 women aged 18 to 25 years who took part in the 2011 National Survey on Drug Use and Health in the United States. Variables were sociodemographic factors, psychological adjustment, substance misuse, smoking attitudes, daily smoking, age at smoking initiation, and nicotine dependence. Analyses used were χ² and multinomial logistic regression.

Results

Almost a fifth of participants and about three-fifths of smokers were very light smokers (no more than 5 cigarettes per day). Very light smokers were relatively more likely than other smokers to be young (aged 18 to 20), to be from a minority group, and to have some college education. They also were less likely to be married. The characteristics of very light smokers (poor psychological adjustment and tendency to misuse other substances) were similar to the characteristics of other smokers. However, very light smokers were more likely than other smokers to recognize high risks in smoking, less likely to report nicotine dependence, and more likely to be nondaily smokers.

Conclusion

Prevention programs targeting women in emerging adulthood need to recognize the prevalence of very light smoking in this population. Although comorbid psychological disorders and substance use present challenges, very light smokers’ perception of higher smoking risks and lower nicotine dependence compared with that of other smokers provide intervention opportunities.

Validation of a Respiratory Symptom Questionnaire in Adolescent Smokers

OBJECTIVES

Adolescent smokers experience respiratory symptoms as a consequence of smoking, which may be impacted by harm-reduction products. We sought to validate the American Thoracic Society Questionnaire (ATSQ), a measure of respiratory symptoms, in adolescent smokers.

METHODS

Data were drawn from 2 studies of adolescents (ages 14 to 19). Study 1 (N = 118) comprised daily smokers. Study 2 (N = 216) comprised 118 smokers and 98 nonsmokers; a subset of the total sample comprised 70 matched pairs of smokers and non-smokers.

RESULTS

The ATSQ showed high internal consistency. In Study 1, ATSQ scores were positively correlated with dependence. In Study 2, scores were positively correlated with CO, cotinine, and cigarettes per day; and scores were significantly greater for smokers than non-smokers.

CONCLUSIONS

The ATSQ offers a psychometrically valid method for measuring respiratory symptoms in adolescent smokers.

Predictors of Cigarette Smoking Progression Among a School-Based Sample of Adolescents in Irbid, Jordan: A Longitudinal Study (2008-2011)

INTRODUCTION

Little evidence regarding longitudinal predictors of cigarette smoking progression is available from developing countries. This study aimed to identify gender-specific individual and social predictors of cigarette smoking progression among a school-based sample of adolescents in Irbid, Jordan.

METHODS

A total of 1781 seventh graders (participation rate 95%) were enrolled and completed an annual self-administered questionnaire from 2008 through 2011. Students who reported "ever-smoking a cigarette" at baseline or in the subsequent follow-up but not being "heavy daily smokers" (>10 cigarettes per day) were eligible for this analysis (N = 669). Grouped-time survival analyses were used to identify predictors of cigarette smoking progression in boys and girls.

RESULTS

Among the study sample, 38.3% of students increased the frequency and /or amount of cigarette smoking during the 3 years of follow-up. Among individual factors, the urge to smoke in the morning predicted smoking progression for boys and girls. The independent predictors of cigarette smoking progression were friends' smoking and attending public schools in boys, and siblings' smoking in girls. Discussing the dangers of smoking with family members was protective for girls.

CONCLUSION

Boys and girls progressed similarly in cigarette smoking once they initiated the habit. Progression among girls was solely family-related, while it was peer-related for boys.

Joint trajectories of smoking and depressive mood: associations with later low perceived self-control and low well-being

This longitudinal study examines comorbid trajectories of cigarette smoking and depressive mood from adolescence to adulthood and its association with low perceived self-control and low well-being in adulthood. Participants (N = 607) were interviewed at 6 time waves. Growth mixture modeling (GMM) determined membership in joint trajectory groups of comorbid smoking and depressive mood ranging from mean age 14 to mean age 32 years. Multivariate logistic regression was used to assess the associations between earlier trajectory group memberships and low perceived self-control and low well-being in adulthood. Trajectory groups characterized by earlier, comorbid chronic/heavy smoking and chronic/high depressive mood were most at risk for low perceived self-control and low well-being in adulthood. Counseling for adolescents and young adults with low perceived self-control and low well-being should address smoking and depressive mood. Interventions to reduce smoking and depressive mood may result in increased self-control and well-being.

Life course transitions and racial and ethnic differences in smoking prevalence

This study aims to: (1) describe trajectories in the likelihood of smoking by racial or ethnic group across the transition to adulthood, (2) identify the influence of achieved socioeconomic status (SES) and the nature and timing of adult role transitions, and (3) determine the extent to which achieved SES and adult roles mediate the effects of race and ethnicity on smoking. The analyses use U.S. longitudinal data from the National Longitudinal Study of Adolescent Health (Add Health), which follows a representative national sample over four waves and from ages 11-17 in 1994/95 to 26-34 in 2007/08. Growth curve models compare trajectories of smoking likelihood for white, black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native individuals. While whites have higher rates of smoking than blacks and Hispanics during their teen years and 20s, blacks and Hispanics lose their advantage relative to whites as they approach and enter their 30s. American Indian/Alaska Natives show high rates of smoking at earlier ages and an increasing likelihood to smoke. Although life course transitions are influential for smoking prevalence in the overall U.S. population, SES and the nature and timing of adult role transitions account for little of the gap between whites and black, Hispanic, and American Indian/Alaska Native individuals. Racial and ethnic disparities in adult smoking are independent of SES and life transitions, pointing to explanations such as culturally specific normative environments or experiences of discrimination.

Predictors of subgroups based on maximum drinks per occasion over six years for 833 adolescents and young adults in COGA

OBJECTIVE

A person's pattern of heavier drinking often changes over time, especially during the early drinking years, and reflects complex relationships among a wide range of characteristics. Optimal understanding of the predictors of drinking during times of change might come from studies of trajectories of alcohol intake rather than cross-sectional evaluations.

METHOD

The patterns of maximum drinks per occasion were evaluated every 2 years between the average ages of 18 and 24 years for 833 subjects from the Collaborative Study on the Genetics of Alcoholism. Latent class growth analysis identified latent classes for the trajectories of maximum drinks, and then logistic regression analyses highlighted variables that best predicted class membership.

RESULTS

Four latent classes were found, including Class 1 (69%), with about 5 maximum drinks per occasion across time; Class 2 (15%), with about 9 drinks at baseline that increased to 18 across time; Class 3 (10%), who began with a maximum of 18 drinks per occasion but decreased to 9 over time; and Class 4 (6%), with a maximum of about 22 drinks across time. The most consistent predictors of higher drinking classes were female sex, a low baseline level of response to alcohol, externalizing characteristics, prior alcohol and tobacco use, and heavier drinking peers.

CONCLUSIONS

Four trajectory classes were observed and were best predicted by a combination of items that reflected demography, substance use, level of response and externalizing phenotypes, and baseline environment and attitudes.

Alcohol, marijuana, and tobacco use trajectories from age 12 to 24 years: demographic correlates and young adult substance use problems

Substance use trajectories were examined from early adolescence to young adulthood among a diverse sample of 998 youths. Analysis of longitudinal data from ages 12 to 24 identified distinct trajectories for alcohol, marijuana, and tobacco use. Modeling revealed 8 alcohol, 7 marijuana, and 6 tobacco use trajectories. Analyses assessed risk for substance use problems in early adulthood within each trajectory, as well as overlap among alcohol, marijuana, and tobacco use trajectories. Findings confirmed that adolescents with early- and rapid-onset trajectories are particularly vulnerable to the development of problematic substance use in early adulthood. However, analyses also identified an escalating high school onset trajectory for alcohol and for marijuana use that was equally prognostic of problem use in adulthood. Moreover, tobacco use in early adolescence was associated with developing high-risk marijuana and alcohol use patterns. Random assignment to the Family Check-Up intervention was found to reduce risk for membership in the high-risk marijuana use trajectories, suggesting that family-based approaches delivered during adolescence can prevent escalations to problematic substance use. These findings suggest the importance of developmental heterogeneity and equifinality in considering prevention for alcohol and drug use.

Time to first cigarette predicts 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) in adolescent regular and intermittent smokers, National Health and Nutrition and Examination Survey (NHANES) 2007-10

BACKGROUND AND AIMS

The time to first cigarette (TTFC) of the day is an indicator of nicotine intake in adults and adolescents. However, the relation between TTFC and biological markers of nicotine addiction and health risk in youths has not been well described. The current study examined whether an earlier TTFC predicts higher levels of a tobacco-specific carcinogen, 4-(methylnitrosamino)-1-(3-pyridal)-1 (NNAL), in regular and intermittent adolescent smokers and if this relation is mediated by nicotine intake (measured by cotinine) or cigarettes per day (CPD).

DESIGN

A cross-sectional analysis of a nationally representative subsample of adolescents.

SETTING

A general community sample from the 2007-08 and 2009-10 National Health and Nutrition and Examination Survey.

PARTICIPANTS

A total of 215 adolescents in the United States between the ages of 12 and 19 years who reported smoking at least once in the 5 days prior to data collection.

MEASUREMENTS

The primary outcome measure was urinary levels of NNAL.

FINDINGS

In both regular and intermittent smokers, earlier TTFC was associated dose-dependently with higher levels of NNAL (P < 0.03 in both cases). TTFC had an indirect effect on NNAL, mediated by nicotine intake (cotinine) in both regular [β = -0.08, standard error (SE) = 0.03, 95% confidence interval (CI) = -0.15, -0.03] and intermittent (β = -0.02, SE = 0.01, 95% CI = -0.05, -0.002) smokers. CPD was not found to be an important mediator of the relation between TTFC and NNAL.

CONCLUSIONS

Time between waking and the first cigarette of the day is correlated in daily and non-daily adolescent smokers with overall nicotine and therefore carcinogen intake.

Parental smoking exposure and adolescent smoking trajectories

OBJECTIVE

In a multigenerational study of smoking risk, the objective was to investigate the intergenerational transmission of smoking by examining if exposure to parental smoking and nicotine dependence predicts prospective smoking trajectories among adolescent offspring.

METHODS

Adolescents (n = 406) ages 12 to 17 and a parent completed baseline interviews (2001-2004), and adolescents completed up to 2 follow-up interviews 1 and 5 years later. Baseline interviews gathered detailed information on parental smoking history, including timing and duration, current smoking, and nicotine dependence. Adolescent smoking and nicotine dependence were assessed at each time point. Latent Class Growth Analysis identified prospective smoking trajectory classes from adolescence into young adulthood. Logistic regression was used to examine relationships between parental smoking and adolescent smoking trajectories.

RESULTS

Four adolescent smoking trajectory classes were identified: early regular smokers (6%), early experimenters (23%), late experimenters (41%), and nonsmokers (30%). Adolescents with parents who were nicotine-dependent smokers at baseline were more likely to be early regular smokers (odds ratio 1.18, 95% confidence interval 1.05-1.33) and early experimenters (odds ratio 1.04, 95% confidence interval 1.04-1.25) with each additional year of previous exposure to parental smoking. Parents' current non-nicotine-dependent and former smoking were not associated with adolescent smoking trajectories.

CONCLUSIONS

Exposure to parental nicotine dependence is a critical factor influencing intergenerational transmission of smoking. Adolescents with nicotine-dependent parents are susceptible to more intense smoking patterns and this risk increases with longer duration of exposure. Research is needed to optimize interventions to help nicotine-dependent parents quit smoking early in their children's lifetime to reduce these risks.

Transitions in smoking behavior during emerging adulthood: a longitudinal analysis of the effect of home smoking bans

OBJECTIVES

We studied the effect of home smoking bans on transitions in smoking behavior during emerging adulthood.

METHODS

We used latent transition analysis to examine movement between stages of smoking from late adolescence (ages 16-18 years) to young adulthood (ages 18-20 years) and the effect of a home smoking ban on these transitions. We used data from the Minnesota Adolescent Community Cohort study collected in 2004 to 2006.

RESULTS

Overall, we identified 4 stages of smoking: (1) never smokers, (2) experimental smokers, (3) light smokers, and (4) daily smokers. Transition probabilities varied by stage. Young adults with a home ban during late adolescence were less likely to be smokers and less likely to progress to higher use later. Furthermore, the protective effect of a home smoking ban on the prevalence of smoking behavior was evident even in the presence of parental smoking. However, this effect was less clear on transitions over time.

CONCLUSIONS

In addition to protecting family members from exposure to secondhand smoke, home smoking bans appear to have the additional benefit of reducing initiation and escalation of smoking behavior among young adults.

Nondaily smoking: a population-based, longitudinal study of stability and predictors

Background

Nondaily smoking appears to have remained stable in Western countries in recent years, alongside a steep decline in daily smoking. Nondaily smoking increases the risk of several diseases and premature mortality, but our knowledge about nondaily smoking is limited. The present study was designed to examine the stability of nondaily smoking during young adulthood, and to identify adolescent factors predictive of nondaily smoking compared with nonsmoking and non-nicotine-dependent and nicotine-dependent daily smoking.

Methods

A population-based sample (n = 942) of Norwegians was followed up by surveys for 13 years, from adolescence to young adulthood. Information about smoking patterns, nicotine dependence, school achievement, parents’ and peers’ smoking, and parental monitoring was collected. Data on parental and participants’ education were obtained from a national register.

Results

Of all nondaily smokers at age 21 years, 26% were still nondaily smokers at 27 years, while 17% had become daily smokers and 57% had quit. Bivariate analyses revealed that young adult nondaily smokers did not differ from nonsmokers on any of the included variables, while a number of differences in parental, peers’ and individual characteristics were observed between nondaily smokers and the two categories of smokers in young adulthood. Longitudinal analyses revealed that unorganized leisure time activities and peers’ smoking differentiated nondaily smoking from nonsmoking. Higher educational achievement and less parental binge drinking predicted nondaily smoking and differentiated it from both categories of daily smoking.

Conclusions

The degree of nondaily smoking-stability from 21 to 27 years of age was modest, and most nondaily smokers quit smoking in the course of young adulthood. Young adult nondaily smokers were quite similar to nonsmokers, but differed substantially from both nicotine-dependent and nondependent daily smokers. The study suggests that nondaily smoking—at least in the absence of traditional risk factors for smoking—is usually a transitory behavior, with most people returning to nonsmoking.

Craving, cue reactivity, and stimulus control among early-stage young smokers: effects of smoking intensity and gender

INTRODUCTION

Smoking initiation usually begins in adolescence, but how and for whom nicotine dependence emerges during this period is unclear. The cue-reactivity paradigm is well suited to examine one marker of dependence: craving-related stimulus control, i.e., the ability of environmental cues to elicit craving to smoke. This study examined the effects of both level of smoking involvement (daily vs. occasional smoking) and gender on reactivity to both smoking and alcohol cues.

METHODS

Young (age range 16-20; 42% female) daily (n = 55) and occasional (n = 52) smokers were exposed to each of three counterbalanced cues: (a) in vivo smoking (e.g., sight, smell, lighting of cigarette), (b) alcohol (e.g., opening, pouring, and smell of preferred beverage), and (c) neutral cue.

RESULTS

Daily smokers exhibited higher levels of tonic (i.e., noncue-elicited) craving than did occasional smokers. Both groups showed significant increases in craving in response to cues (i.e., cue-elicited craving), with little evidence that cue-elicited craving differed between groups. Females were more cue reactive to both the alcohol and smoking cues than males, particularly for the positively reinforced aspects of smoking (i.e., hedonic craving). There were no gender × group interaction effects in response to either the alcohol or the smoking cue.

CONCLUSIONS

Findings show the presence of cue-elicited craving even among occasional smokers and are consistent with literature demonstrating heightened sensitivity to environmental cues among females. Cue-elicited craving may be one mechanism that contributes to the maintenance of smoking behavior and perhaps to the development of nicotine dependence within early stage smokers.

Smoking initiation associated with specific periods in the life course from birth to young adulthood: data from the National Longitudinal Survey of Youth 1997

OBJECTIVES

Guided by the life-course perspective, we examined whether there were subgroups with different likelihood curves of smoking onset associated with specific developmental periods.

METHODS

Using 12 waves of panel data from 4088 participants in the National Longitudinal Survey of Youth 1997, we detected subgroups with distinctive risk patterns by employing developmental trajectory modeling analysis.

RESULTS

From birth to age 29 years, 72% of female and 74% of US males initiated smoking. We detected 4 exclusive groups with distinctive risk patterns for both genders: the Pre-Teen Risk Group initiated smoking by age 12 years, the Teenage Risk Group initiated smoking by age 18 years, the Young Adult Risk Group initiated smoking by age 25 years, and the Low Risk Group experienced little or no risk over time. Groups differed on several etiological and outcome variables.

CONCLUSIONS

The process of smoking initiation from birth to young adulthood is nonhomogeneous, with distinct subgroups whose risk of smoking onset is linked to specific stages in the life course.

Life course transitions in early adulthood and SES disparities in tobacco use

A huge literature has documented adult socioeconomic disparities in smoking but says less about how these disparities emerge over the life course. Building on findings that smoking among adolescents differs only modestly by parental SES, we utilize a life course perspective on social differentiation to help explain the widening disparities in smoking in young adulthood. Our theory suggests that achieved socioeconomic status and the nature and timing of adult role transitions affect age-based trajectories of smoking and widen disparities in adult smoking. The analyses use data from the National Longitudinal Study of Adolescent Health, which follows a representative national sample over four waves from ages 11-17 in 1994/1995 to 26-34 in 2007/2008. The results show divergent age trajectories in smoking by parental education and that achieved socioeconomic status and life course roles in young adulthood account in good part for differences in the age trajectories. The findings demonstrate the value of the life course perspective in understanding processes of increasing stratification in health behavior and health during the transition to adulthood.

Individual- and community-level correlates of cigarette-smoking trajectories from age 13 to 32 in a U.S. population-based sample

BACKGROUND

Characterizing smoking behavior is important for informing etiologic models and targeting prevention efforts. This study explored the effects of both individual- and community-level variables in predicting cigarette use vs. non-use and level of use among adolescents as they transition into adulthood.

METHODS

Data on 14,779 youths (53% female) were drawn from the National Longitudinal Study of Adolescent Health (Add Health); a nationally representative longitudinal cohort. A cohort sequential design allowed for examining trajectories of smoking typologies from age 13 to 32 years. Smoking trajectories were evaluated by using a zero-inflated Poisson (ZIP) latent growth analysis and latent class growth analysis modeling approach.

RESULTS

Significant relationships emerged between both individual- and community-level variables and smoking outcomes. Maternal and peer smoking predicted increases in smoking over development and were associated with a greater likelihood of belonging to any of the four identified smoking groups versus Non-Users. Conduct problems and depressive symptoms during adolescence were related to cigarette use versus non-use. State-level prevalence of adolescent smoking was related to greater cigarette use during adolescence.

CONCLUSIONS

Individual- and community-level variables that distinguish smoking patterns within the population aid in understanding cigarette use versus non-use and the quantity of cigarette use into adulthood. Our findings suggest that efforts to prevent cigarette use would benefit from attention to both parental and peer smoking and individual well-being. Future work is needed to better understand the role of variables in the context of multiple levels (individual and community-level) on smoking trajectories.

Mental disorders and smoking trajectories: a 10-year prospective study among adolescents and young adults in the community

BACKGROUND

Numerous studies have documented an association between mental disorders and onset of cigarette smoking. Yet, there is little understanding of the potential impact of mental disorders on trajectories of smoking over time. The objective of this study was to investigate this relationship among adolescents over a 10-year span.

METHODS

Data were drawn from the Early Developmental Stages of Psychopathology Study, a 10-year prospective investigation of youth in Germany. Growth mixture modeling was used to identify smoking trajectories and logistic regression analyses were used to examine relationships between mental disorders and subsequent trajectories.

RESULTS

Four trajectories were identified: non-users; increasing use; decreasing use; persistent use. Alcohol/drug use disorders, stress disorders, anxiety disorders, somatoform disorder and nicotine dependence were associated with nicotine use (as compared to the non-smoker class). However, comparisons between trajectories of nicotine use showed that any stress disorder predicted only decreasing use compared to the other two trajectories; nicotine dependence, alcohol/illicit drug use disorders as well as panic disorder and somatoform disorders were inversely associated with increasing use; nicotine dependence and alcohol/drug use disorders were associated with persistent use.

CONCLUSIONS

Several mental disorders appear to be non-specific markers of the range of smoking trajectories while others predict specific trajectories. Numerous disorders (e.g., alcohol/drug use disorders) do not appear to occur only prior to and predict increased smoking trajectory as had been previously suggested, but rather they also occur concurrently, with high levels of smoking and in some cases smoking persists at a steady level over time.