Factors associated with transitions in tobacco product use states among young adults aged 18-29 years.

BACKGROUND AND OBJECTIVES: This study examined young adults' tobacco use transitions based on their past 30-day use states, and identified factors associated with their transitions. METHODS: Participants (N = 12377) were young adults aged 18-29 years at Wave 1 of the Population Assessment of Tobacco and Health (PATH) study. Self-reported tobacco use states were categorized by the number of past-month use days (0, 1-4, 5-8, 9-12, 13-30 days) for cigarettes, electronic cigarettes [e-cigarettes], traditional cigars, filtered cigars, cigarillos, smokeless tobacco (SLT), and hookah. Multistate Markov models examined transitions between use states across Waves 1-5 of unweighted PATH data and multinomial logistic regressions examined predictors of transitions. RESULTS: Most young adults remained nonusers across adjacent waves for all products (88%-99%). Collapsed across waves, transitioning from use at any level to nonuse (average 46%-67%) was more common than transitioning from nonuse to use at any level (average 4%-10%). Several factors that predicted riskier patterns of use (i.e., transitioning to use and/or remaining a user across adjacent waves) were similar across most products: male, Black, Hispanic, lower education levels, and lower harm perceptions. In contrast, other factors predicted riskier patterns for only select products (e.g., e-cigarette and SLT use among Whites). DISCUSSION AND CONCLUSIONS: Few sampled young adults escalated their tobacco use over time, and escalations for many products were predicted by similar factors. SCIENTIFIC SIGNIFICANCE: Prevention and regulatory efforts targeted towards adolescents should continue, but also be expanded into young adulthood. These same efforts should consider both shared and unique factors that influence use transitions.

Socioecological Predictors of Change in Adolescent Tobacco Use Across Waves 1-4 of the Population Assessment of Tobacco and Health Study.

BACKGROUND: Despite decreases in adolescents' cigarette use over the past decade, overall rates of adolescent tobacco use have increased. Research examining adolescents' changes across a range of tobacco products reflective of the current market, as well as multilevel predictors of use trajectories is needed. METHODS: Data derive from Waves 1-4 (W1-4; 2013-2018) of the Population Assessment of Tobacco and Health (PATH) study. Participants included 975 adolescents who used ≥1 tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at any wave (W1 Mage = 13.29 [0.86], 54.2% male; 54.5% White, 25.9% Hispanic). RESULTS: Utilizing latent growth curve modeling (separate models per product), adolescents displayed increases in their past 30-day use of all tobacco products from W1-4. Greater W1 use was predicted by identifying as non-Hispanic (cigarettes); lower parent education (SLT); greater externalizing problems (cigarillos); greater motives (all products except cigarillos); greater youth-reported household smoking rules (cigarillos); and greater isolation (ECIGs). More use across time (i.e., higher slope) was predicted by older age (cigarettes); identifying as male (ECIGs, SLT), Black (vs. White; cigarillos), White (vs. Black, Hispanic; ECIGs, SLT); fewer externalizing problems (SLT); fewer motives (ECIGs); fewer youth-reported rules (cigarillos, SLT); and greater geographic isolation (cigarettes, SLT). DISCUSSION: Although some individual-level factors (i.e., motives, externalizing problems) predicted greater W1 use (i.e., intercept) only, interpersonal- (parent rules) and community-level (geographic isolation) factors were associated with changes in use over time (i.e., slope). Intervention efforts may address such factors to reduce adolescents' escalations in use.

Longitudinal transitions in adolescent polytobacco use across waves 1-4 of the Population Assessment of Tobacco and Health study.

AIMS: This study aims to identify adolescent patterns of polytobacco use and measure transitions between patterns over time. DESIGN: Longitudinal analysis using data derived from waves 1-4 (2013-18) of the Population Assessment of Tobacco and Health (PATH) study. Transitions in tobacco use patterns were examined via latent transition analysis, and then, socio-demographic characteristics were used to predict transitions via logistic regression. SETTING: United States. PARTICIPANTS: Participants included 975 adolescents who used at least one tobacco product at any wave (W1 mean age = 13.29, standard deviation = 0.86; W4 54.2% male; 54.5% white, 25.9% Hispanic). MEASUREMENTS: Measurements included past 30-day use of cigarettes, electronic cigarettes (e-cigs), traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco (SLT) or hookah. FINDINGS: Six latent classes were identified. Cigarette users (43.5-58.8%) and SLT users (50.8-79.6%) tended to persist in their use over time. E-cig users began to probably transition to non-users (80.0%), but became more likely to persist in this use over time (31.1%). Non-users at a given wave were most likely to transition to e-cig users (8.5-43.7%) or cigarette users (6.7-28.6%). Cigarillo/poly-users and hookah/poly-users displayed more variable transition patterns. Adolescents were more likely to transition to non-use (versus become/remain e-cig users) if they were older (cigarette users, SLT users), younger (e-cig users), other race (SLT users), male (SLT users) or had less-educated parents (SLT users) compared with their counterparts. Hispanic (versus white) cigarette users were more likely to transition to non-users than to persist in this use. CONCLUSIONS: Among adolescents in the United States, patterns of tobacco use characterized by the use, mainly, of single, specific products appear to be stable, particularly by late adolescence. In contrast, patterns characterized by polytobacco use appear to be more variable and may represent experimentation without specialization.

Intersectional stigma subgroup differences in unhealthy drinking and disordered marijuana use among Black and Latino cisgender sexual minority young men.

BACKGROUND: We investigated associations of intersectional stigma subgroups with alcohol and marijuana use among Black and Latino sexual minority young men. Subgroups included Minimal Stigma (low to no stigma), Select Social Stigma (occasional stigma in social relationships), Multiform Heterosexism (internalized and interpersonal heterosexism from family/friends), Multiform Racism (racism across diverse contexts), Compound Stigma (frequent, ubiquitous racism and heterosexism). METHODS: Cohort of Black and Latino cisgender sexual minority young men (n = 414; baseline ages 16-25) surveyed semiannually 2016-2019. Generalized estimating equations integrated with latent class analysis modeled linear and quadratic age effects and association of stigma subgroups with past 6-month alcohol use, marijuana use, unhealthy drinking, and marijuana use disorder symptoms. RESULTS: All past 6-month substance use peaked between ages 21-23 years old. Across all ages and relative to Minimal Stigma, odds of drinking were higher in every subgroup and highest in Compound Stigma (OR=2.72, 95% CI 1.17-6.35); unhealthy drinking was higher in every subgroup and highest in Multiform Heterosexism (ß = 3.31, 95% CI 1.92-3.89); marijuana use disorder symptoms were higher in most subgroups and highest in Compound Stigma (ß = 1.30, 95% CI 0.76-1.85). Marijuana use odds did not differ among groups. CONCLUSION: By examining intersectional stigma subgroups, we identified subgroups for whom substance use was elevated during a development period when use tends to be highest. Young men experiencing stigma patterns characterized primarily by heterosexism or heterosexism together with racism may be especially at risk for developing unhealthy drinking behaviors and marijuana use disorder symptoms.

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.

Transitions in tobacco use profiles among adolescents: Results from the Population Assessment of Tobacco and Health (PATH) study waves 3 and 4.

INTRODUCTION: Despite increases in adolescents' polytobacco use, little work has utilized recent national data to examine transitions in polytobacco use over time or predictors of such transitions. METHODS: Data derived from the Population Assessment of Tobacco and Health (PATH) study. Participants used at least one tobacco product (cigarettes, electronic cigarettes [ECIGs], traditional cigars, cigarillos, filtered cigars, snus, smokeless tobacco [SLT], hookah) at Wave 3 (W3; 2015-2016) or 4 (W4; 2016-2018) and had Wave 1 (W1) data (N = 1072; Mage= 13.71, SD =1.71, 46.4% female; 56.6% White, 23.2% Hispanic). Latent transition analysis (LTA) examined probabilities of transitioning between classes across waves and sociodemographic correlates of transitions. RESULTS: Five latent classes were identified: Low Users (n = 372, 34.7% W3; n = 249, 23.3% W4), ECIG Users (n = 256, 23.8% W3; n = 286, 26.7% W4), Cigarette Users (n = 215, 20.1% W3; n = 293, 27.3% W4), SLT Users (n = 91, 8.5% W3; n = 92, 8.6% W4), and Polytobacco Users (n = 138, 12.9% W3; n = 152, 14.1% W4). Cigarette Users and SLT Users displayed the highest probabilities for class stability. Low Users were most likely to transition to ECIG Users or Cigarette Users, whereas Polytobacco Users were most likely to transition to Low Users. ECIG Users were likely to transition to Low Users or Cigarette Users. Older and White adolescents were more likely to display riskier transitions. CONCLUSIONS: Although Cigarette Users and SLT Users remained largely stable in membership, findings demonstrate greater movement across polytobacco use classes relative to previous research and suggest that ECIGs may be the most common entry point to tobacco use.

Stress and Affect as Daily Risk Factors for Substance Use Patterns: an Application of Latent Class Analysis for Daily Diary Data.

At the population level, use of multiple substances (or "co-use") is prevalent in young adulthood and linked with increased risk for experiencing substance-related harms. Less understood is the heterogeneity of substance use behaviors within individuals and across days, as well as the proximal predictors of these daily use patterns. The present study applied latent class analysis to daily diary data to identify daily substance use patterns and compare day-level class membership based on day-level stress and positive and negative affect among a higher-risk sample of young adult substance users. Participants (n = 152) completed up to 13 daily assessments of stress, affect, and substance use behavior. Among substance use days, five classes of days were identified: cannabis (some alcohol; 43% of days), alcohol-only (26%), vaping (some alcohol, cannabis; 24%), stimulant + alcohol (some cannabis, vaping; 4%), and cigarette-only (3%) days. Days with lower levels of perceived stress were significantly more likely to be alcohol-only Days relative to being days characterized by cigarette use, cannabis use, or multiple drug combinations. Days with higher levels of stress and negative affect were more likely to be cigarette-only days relative to cannabis and vaping days. Study findings document the wide range of substance use and co-use behaviors exhibited among young adults in daily life and highlight the importance of considering risk factors that correspond to days of problematic use patterns.

A Latent Transition Analysis of Self-Reported Reasons for Marijuana Use During Young Adulthood.

Individuals' reasons for marijuana use have been linked to their risk for continued use and development of disordered use. Although individuals tend to have multiple reasons for use, co-occurrence of reasons is not always accounted for in analytic approaches. Latent transition analysis (LTA) is ideal for modeling transitions in co-occurring reasons. Using longitudinal panel data from Monitoring the Future, LTA was used to identify profiles of self-reported reasons for marijuana use among young adults, examine transitions between profiles, and determine whether cohort, gender, race/ethnicity, parent education, grade of first marijuana use, and 4-year college attendance predicted transitions between profiles. Data included senior year cohorts from 1976-2009 and were collected at ages 19/20, 21/22, and 23/24 (weighted n = 7,294; 55.9% female; 79.3% White). Five latent classes were identified: Non-Users and individuals with Experimental, Typical, Get High + Relax, and Escape + Coping Reasons. Transitions among Non-Users, Experimental Reasons, and Typical Reasons were common; generally, those with earlier cohort membership, early initiation, college non-attending parents, and college attendance were more likely to make transitions to higher-risk classes. As the legalization of recreational marijuana use continues to expand, change over time in reasons for use should be considered carefully as interventions are developed and implemented.

A latent class analysis of heavy substance use in Young adulthood and impacts on physical, cognitive, and mental health outcomes in middle age.

BACKGROUND: This study examines whether longitudinal patterns of persistent or experimental heavy substance use across young adulthood were associated with physical and mental health in midlife. METHODS: Data (N = 21,347) from Monitoring the Future from adolescence (age 18) to midlife (age 40) were used. Repeated measures latent class analysis modeled patterns of patterns of cigarettes, alcohol, marijuana, and other illicit drugs across young adulthood (ages 18-30). Latent classes were then used as predictors of physical health problems, cognitive problems, self-rated health, and psychological problems in midlife (age 40), while controlling for sociodemographic variables (i.e., gender, race/ethnicity, parental education). RESULTS: Identified classes were "Extreme Heavy Users" (3.9%), "Early Young Adult Users" (8.9%), "Cigarette Smokers" (9.2%), "All But Cigarette Smokers" (5.0%), "Frequent Alcohol Bingers" (10.4%), and "Not-Heavy Users" (62.6%). Extreme Heavy Users, Early Young Adult Users, and Cigarette Smokers had significantly poorer overall health based on a number of physical conditions and self-rated health. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers had more cognitive problems than other classes. Extreme Heavy Users, Early Young Adult Users, Cigarette Smokers, and All But Cigarette Smokers were more likely to see a health professional for a psychological problem. CONCLUSIONS: Patterns of heavy substance use were associated with health across decades. Regular cigarette smokers and heavy users across substances and ages had the worst health in midlife, although even those with time-limited use during young adulthood were at risk for later physical and cognitive health problems.

Linking Patterns of Substance Use With Sexual Risk-Taking Among Female Adolescents With and Without Histories of Maltreatment.

PURPOSE: This study aimed to determine the associations between patterns of substance use and sexual risk-taking among female adolescents with and without histories of maltreatment. METHODS: Data are from a prospective cohort study examining the impact of maltreatment on subsequent female adolescent sexual health (N = 504). Participants averaged 18.24 years in age (SD = 1.12), and approximately 63% had substantiated incidences of maltreatment filed with Child Protective Services prior to age 18. The present study used latent class analysis to examine patterns in adolescent substance use, and negative binomial regression models to examine the links between patterns of substance use and sexual risk-taking and to determine whether these associations were moderated by adolescents' maltreatment status. RESULTS: Six classes emerged from latent class analysis labeled as follows: abstainers (25% of sample); polysubstance users-early initiators (13%); polysubstance users-late initiators (23%); alcohol and cannabis users-late initiators (9%); alcohol users-late initiators (18%); and tobacco users (12%). Patterns of adolescent polysubstance use were associated with the highest levels of sexual risk-taking, and patterns of late-initiated polysubstance use, late-initiated alcohol use, and tobacco use were more strongly related to sexual risk-taking for female adolescents with histories of maltreatment. CONCLUSIONS: This study is the first to determine the specific patterns of substance use that are more strongly related to sexual risk-taking for maltreated female adolescents. By doing so, this study demonstrates how a person-centered approach can facilitate our understanding of how to best leverage sexual risk-taking prevention efforts.

Longitudinal patterns of marijuana use across ages 18-50 in a US national sample: A descriptive examination of predictors and health correlates of repeated measures latent class membership.

BACKGROUND: This descriptive study identified latent classes of longitudinal marijuana use from ages 18 through 50 among a national sample; examined covariate associations with class membership regarding use/non-use, use intensity, and use duration; and described associations between identified latent classes and age 50 health outcomes. METHODS: The study involved collection and primary analysis of data from 9831 individuals first surveyed as 12th graders in the national Monitoring the Future study and followed through modal age 50. Repeated measures latent class analysis was used to identify latent classes based on self-reported past 12-month marijuana use. RESULTS: Seven latent classes of marijuana use from ages 18 to 50 were identified including Non-users (44%), two classes characterized by shorter-term use patterns (totaling 28%), and four classes characterized by longer-term moderate or heavy use (totaling 28%). Use reduction appeared particularly likely during early and late 20s. Gender, parental education, alcohol/cigarette use, religious commitment, and marital status differentiated use/non-use, use intensity, and use duration after high school. In non-causal models controlling for covariates, longer-term marijuana use classes (where use extended into the late 20s or beyond) were associated with significantly higher odds of negative health outcomes at age 50. CONCLUSIONS: Approximately 28% of the national sample reported longer-term moderate/heavy marijuana use, which was associated with negative health outcomes at age 50. The early and late 20s may be especially important periods for marijuana use prevention and intervention efforts, which may be strengthened by recognition of characteristics that appear to have significant associations with persistent use.

Reasons for Marijuana Use Among Young Adults and Long-Term Associations With Marijuana Use and Problems.

OBJECTIVE: This study examines reasons for marijuana use among young adults age 19/20 in the United States and the extent to which patterns of reasons are associated with marijuana use and problems 15 years later. METHOD: The national Monitoring the Future study provided data on marijuana users at age 19/20 who were also surveyed at age 35 (n = 2,288; 50% women; 83% White). Latent class analysis was used to identify distinct patterns of reasons for marijuana use, which were then used as predictors of later marijuana use and problems. RESULTS: Five latent classes described the following patterns of reasons for marijuana use at age 19/20: Experimental, Get High + Relax, Typical, Typical + Escape, and Coping + Drug Use. Highest risk for later marijuana use and problems was found for people with Coping + Drug Use and Get High + Relax reasons in young adulthood; those with Experimental reasons were at lowest risk for later use or problems. CONCLUSIONS: Coping and getting high emerged as strong predictors of later marijuana use and problems. Results support the predictive value of self-reported reasons for using marijuana among young adults.

Transitions in Smokers' Social Networks After Quit Attempts: A Latent Transition Analysis.

INTRODUCTION: Smokers' social networks vary in size, composition, and amount of exposure to smoking. The extent to which smokers' social networks change after a quit attempt is unknown, as is the relation between quitting success and later network changes. METHODS: Unique types of social networks for 691 smokers enrolled in a smoking-cessation trial were identified based on network size, new network members, members' smoking habits, within network smoking, smoking buddies, and romantic partners' smoking. Latent transition analysis was used to identify the network classes and to predict transitions in class membership across 3 years from biochemically assessed smoking abstinence. RESULTS: Five network classes were identified: Immersed (large network, extensive smoking exposure including smoking buddies), Low Smoking Exposure (large network, minimal smoking exposure), Smoking Partner (small network, smoking exposure primarily from partner), Isolated (small network, minimal smoking exposure), and Distant Smoking Exposure (small network, considerable nonpartner smoking exposure). Abstinence at years 1 and 2 was associated with shifts in participants' social networks to less contact with smokers and larger networks in years 2 and 3. CONCLUSIONS: In the years following a smoking-cessation attempt, smokers' social networks changed, and abstinence status predicted these changes. Networks defined by high levels of exposure to smokers were especially associated with continued smoking. Abstinence, however, predicted transitions to larger social networks comprising less smoking exposure. These results support treatments that aim to reduce exposure to smoking cues and smokers, including partners who smoke. IMPLICATIONS: Prior research has shown that social network features predict the likelihood of subsequent smoking cessation. The current research illustrates how successful quitting predicts social network change over 3 years following a quit attempt. Specifically, abstinence predicts transitions to networks that are larger and afford less exposure to smokers. This suggests that quitting smoking may expand a person's social milieu rather than narrow it. This effect, plus reduced exposure to smokers, may help sustain abstinence.

Transitions in gambling participation during late adolescence and young adulthood.

PURPOSE: The purpose of this study was to examine transitions in gambling participation from late adolescence into emerging adulthood and to identify factors (i.e., gender, race, intervention status, lunch status, conduct disorder, parental monitoring, neighborhood environment, and substance use) that might influence these transitions. METHODS: Markov modeling was used to describe the movement between past-year gambling states (i.e., nongambling and gambling) across 5 years. Annual data on the past-year gambling behavior and substance use were collected from 515 young men and women starting at the age of 17 years. RESULTS: Past-year gambling declined from 51% prevalence at the age of 17 years to 21% prevalence at the age of 22 years. Participants who reported no past-year gambling at a particular annual assessment had more than an 80% probability of also reporting no past-year gambling at the following assessment. Men were 1.07-2.82 times more likely than women to transition from past-year nongambling to gambling year to year, and women were 1.27-5.26 times more likely than men to transition from past-year gambling to nongambling year to year. In addition, gender and past-year tobacco use interacted such that men who used tobacco were most likely (and men who did not use tobacco least likely) to gamble at baseline. CONCLUSIONS: Transition rates between gambling states appear to be relatively stable over time from late adolescence into emerging adulthood; however, men and those who engage in substance use may be at an increased risk of gambling participation.

Latent Class Analysis With Distal Outcomes: A Flexible Model-Based Approach.

Although prediction of class membership from observed variables in latent class analysis is well understood, predicting an observed distal outcome from latent class membership is more complicated. A flexible model-based approach is proposed to empirically derive and summarize the class-dependent density functions of distal outcomes with categorical, continuous, or count distributions. A Monte Carlo simulation study is conducted to compare the performance of the new technique to two commonly used classify-analyze techniques: maximum-probability assignment and multiple pseudo-class draws. Simulation results show that the model-based approach produces substantially less biased estimates of the effect compared to either classify-analyze technique, particularly when the association between the latent class variable and the distal outcome is strong. In addition, we show that only the model-based approach is consistent. The approach is demonstrated empirically: latent classes of adolescent depression are used to predict smoking, grades, and delinquency. SAS syntax for implementing this approach using PROC LCA and a corresponding macro are provided.

TRANSITIONS IN DRUG USE AMONG HIGH-RISK WOMEN: AN APPLICATION OF LATENT CLASS AND LATENT TRANSITION ANALYSIS.

Latent class analysis (LCA) is a statistical approach to identifying underlying subgroups (i.e. latent classes) of individuals based on their responses to a set of observed categorical variables. Latent transition analysis (LTA) extends this framework to longitudinal data in order to estimate the incidence of transitions over time in latent class membership. This study provides an introduction to LCA and LTA, including the use of grouping variables and covariates, and demonstrates the use of two SAS ® procedures (PROC LCA and PROC LTA) to fit these models. The empirical demonstration involved data from 457 women who participated in the Women's Interagency HIV Study (WIHS). First, LCA was used to identify drug use latent classes based on reported use of tobacco, alcohol, marijuana, crack/cocaine/heroin and other drugs. Second, LTA was used to estimate the incidence of transitions in drug use latent classes over a one-year period. Third, racial differences in initial drug use and transitions over time were examined using multiple-groups LTA. Fourth, the effect of participation in an alcohol or drug treatment program on initial latent class membership and transitions over time were examined using LTA with covariates. Measurement invariance across time and groups is examined.

Transitions into and out of light and intermittent smoking during emerging adulthood.

INTRODUCTION: The purpose of this study was to examine transitions in smoking from adolescence into emerging adulthood and to identify factors that might influence these transitions, specifically, movement into and out of light and intermittent smoking. METHODS: This study used Markov models to examine movement across three stages of smoking (nonsmoking, light and intermittent smoking, and heavy smoking) from adolescence into emerging adulthood. Biannual data were collected from 990 young men and women from the 12th grade until 2 years after high school. RESULTS: At each timepoint, most youth were nonsmokers. Those who were heavy smokers in 12th grade had a 79% chance of also being heavy smokers 2 years after high school. Between 17% and 21% of participants were light and intermittent smokers at each timepoint, and the likelihood of remaining so at the next timepoint ranged from 56% to 72%. Less than one-half of the 12th-grade light and intermittent smokers were light and intermittent smokers 2 years later, and 3% of the sample were light and intermittent smokers across all assessments. Prevalence and transition rates did not differ by gender. College attendees reported less smoking than nonattendees before and after their transition to college, and attendees compared with nonattendees who smoked were less likely to transition from light and intermittent to heavy smoking and remain heavy smokers. Binge drinking was significantly related to 12th-grade smoking stage and to transitions from nonsmoking to smoking. Overall, few emerging adults maintained light and intermittent smoking consistently over time. DISCUSSION: Light and intermittent smoking during emerging adulthood may not be the same phenomenon as light and intermittent smoking in adulthood.