Adolescent's explicit and implicit cigarette cognitions predict experimentation with both cigarettes and e-cigarettes.

Background: Past year, month, and lifetime adolescent e-cigarette use rates remain persistently high, despite falling cigarette use rates. Previous investigations have noted a strong relationship between an individual's positive and negative cognitions related to a behavior, and subsequent initiation of that behavior.Objective: This investigation was conducted to determine the impact positive and negative explicit and implicit cigarette-related cognitions may have on the use of cigarettes and e-cigarettes among at-risk, cigarette-naive adolescents.Methods: A three-year longitudinal investigation evaluated the relationship between cigarette-related cognitions and subsequent cigarette and e-cigarette use among 586 alternative high school students (female: 50.8%; mean age: 17.4 years; Hispanic/Latino: 75.0%) who had never smoked cigarettes at the baseline assessment. Multilevel logistic regression models were used to generate demographics-adjusted odds ratios (OR) and 95% confidence intervals (95% CI).Results: Students with higher positive explicit cigarette cognitions at the baseline had greater odds of subsequent cigarette use (OR = 1.72, 95% CI 1.11-2.68). If students also reported an increase over time in positive (OR = 3.45, 95% CI 2.10-5.68) or negative (OR = 1.93, 95% CI 1.03-3.61) explicit cigarette cognitions, the odds of cigarette use increased. The odds of dual use of cigarettes and e-cigarettes were greater among students who had higher negative implicit cigarette cognitions at the baseline (OR = 2.07, 95% CI 1.03-4.17) compared to those with lower levels of negative implicit cognitions.Conclusion: Prevention programming that focuses on decreasing positive cognitions related to nicotine and tobacco use may have greater overall effect on decreasing use compared to programs that only focus on increasing negative cognitions individuals form surrounding cigarette or e-cigarettes.

Individual Mobility across Clusters: The Impact of Ignoring Cross-Classified Data Structures in Discrete-Time Survival Analysis.

A multilevel-discrete time survival model may be appropriate for purely hierarchical data, but when data are non-purely hierarchical due to individual mobility across clusters, a cross-classified discrete time survival model may be necessary. The purpose of this research was to investigate the performance of a cross-classified discrete-time survival model and assess the impact of ignoring a cross-classified data structure on the model parameters of a conventional discrete-time survival model and a multilevel discrete-time survival model. A Monte Carlo simulation was used to examine the performance of three discrete-time survival models when individuals are mobile across clusters. Simulation factors included the value of the between-clusters variance, number of clusters, within-cluster sample size, Weibull scale parameter, and mobility rate. The results suggest that substantial relative parameter bias, unacceptable coverage of the 95% confidence intervals, and severely biased standard errors are possible for all model parameters when a discrete-time survival model is used that ignores the cross-classified data structure. The findings presented in this study are useful for methodologists and practitioners in educational research, public health, and other social sciences where discrete-time survival analysis is a common methodological technique for analyzing event-history data.

Using Marketing Frameworks to Predict the Effects of E-Cigarette Commercials on Youth.

Purpose: This investigation applied the Product Life Cycle (PLC) and Product Evolutionary Cycle (PEC) frameworks to the nicotine and tobacco market to predict the impact of television commercials for electronic cigarettes (e-cigarettes) on youth. Design/methodology/approach: Surveys were administered over a three-year period to 417 alternative high school students from southern California who had never used e-cigarettes, cigarettes, or cigars at the baseline. Covariate-adjusted logistic regression causal mediation models were employed to test competing hypotheses from the PLC and PEC frameworks. Findings: Results support a refined version of the PEC framework where e-cigarette commercials increase the odds of e-cigarette use, which leads to subsequent use of competing products including cigarettes and cigars. Originality: Regulations in the United States that permit television commercials for e-cigarettes but restrict the promotion of cigarettes and cigars have created an opportunity to study product adoption among youth consumers when one product has a strategic marketing advantage. Practical implications: This investigation demonstrates the utility of frameworks that conceptualize youth-oriented marketing as a two-part process in which potential customers are first convinced to adopt a behavior and then enticed to use a specific product to enact the behavior. Social implications: Rising rates of nicotine and tobacco product use among youth may be partially attributable to e-cigarette commercials.

Binge Drinking, Tobacco, and Marijuana Use Among Young Adult Childhood Cancer Survivors: A Longitudinal Study.

Objectives: Substance use among young adult childhood cancer survivors (YACCSs) has been found to increase during survivorship, resulting in increased risk of developing long-term negative health outcomes. This investigation sought to determine various risk and protective factors of tobacco, alcohol, or marijuana use over time among a sample of YACCSs. Methods: 127 YACCSs (57% Hispanic, 55% female, average age at diagnosis 12.4 years) who were diagnosed with any cancer type (except Hodgkin lymphoma) at two large pediatric medical centers in Los Angeles County between 2000 and 2007 responded to two surveys separated by ∼5 years. Bivariate logistic regression models were used to assess independent clinical and psychosocial Time 1 variables associated with each substance use outcome at Time 2. Time 1 variables significant at p < .10 were included in multivariable logistic regression models for each Time 2 substance use variable. Results: Rates of 30-day use increased over time for binge drinking alcohol (from 25.6% to 37.7%), marijuana (from 10.6% to 22.1%), and cigarette/tobacco (from 8.9% to 12.2%). Of the following Time 1 variables, marijuana use, cigarette use, and binge drinking were associated with Time 2 marijuana, cigarette, and binge drinking, respectively. Of the following clinical factors, receipt of more intensive cancer treatment was associated with decreased tobacco use. All other psychosocial and clinical factors analyzed were not associated with any increase or decrease in substance use. Conclusions: A greater emphasis on early health education efforts regarding the health risks of tobacco, alcohol, and marijuana use is needed in this at-risk population.

Acceptance of Drug Use Mediates Future Hard Drug Use Among At-Risk Adolescent Marijuana, Tobacco, and Alcohol Users.

Alternative high school (AHS) students typically report higher levels of alcohol and other drug use compared to students attending traditional high schools. Greater use of such drugs as heroin, methamphetamines, and cocaine in this at-risk population may be driven, in part, by a greater latitude of acceptance toward substance use in general, which may accelerate the transition from gateway drugs to hard drugs. Seven hundred seventy-seven adolescents (mean age 16.6; 56% female) were recruited from alternative high schools throughout Southern California. To understand the factors that may lead AHS students to use hard drugs, a model was tested in order to determine if AHS students' latitude of acceptance toward substance use was a mediator between the relationship of past use of gateway drugs and future use of hard drugs. Latitude of acceptance was found to be a statistically significant mediator of future hard drug use (b = 0.03, 95% confidence intervals = 0.01 to 0.05) among gateway drug users. An individual's latitude of acceptance to various drug use behaviors may be consistent with societal norms. However, after exposure to, or use of, gateway drugs, attitudes that are more permissive toward hard drug use may be encountered, the acceptance of hard drugs may expand, and the use of hard drugs may escalate. Interventions designed to reduce the use of hard drugs among at-risk youth may be more persuasive by crafting messages that are within the latitude of acceptance of the target population and prevent the acceptance of hard drug use.

The impacts of ignoring individual mobility across clusters in estimating a piecewise growth model.

A three-level piecewise growth model (3L-PGM) can be used to break up nonlinear growth into multiple components, providing the opportunity to examine potential sources of variation in individual and contextual growth within different segments of the model. The conventional 3L-PGM assumes that the data are strictly hierarchical in nature, where measurement occasions (level 1) are nested within individuals (level 2) who are members of a single cluster (level 3). However, in longitudinal research, it is sometimes difficult for data structures to remain purely clustered during a study, such as when some students change classrooms or schools over time. One resulting data structure in this situation is known as a multiple membership structure, where some lower-level units are members of more than one higher-level unit. The new multiple membership PGM (MM-PGM) extends the 3L-PGM to handle multiple membership data structures frequently found in the social sciences. This study sought to examine the consequences of ignoring individual mobility across clusters when estimating a 3L-PGM in comparison to estimating a MM-PGM. MM-PGM estimates were less biased (especially in the cluster-level coefficient estimates), although we found substantial bias in cluster-level variance components across some conditions for both models.

Psychosocial factors and multiple health risk behaviors among early adolescents: a latent profile analysis.

Early adolescence is a pivotal developmental period when multiple health risk behaviors, such as obesity and substance use, are often established. Several psychosocial factors, often considered traits, have been independently associated with these increases, including executive function (EF), mindfulness disposition (MD), perceived stress, distress tolerance (DT), and anhedonia. However, these factors have not been evaluated for their conjoint relationships to determine whether different patterns may signal greater or lesser risk for obesity and substance use, and whether the same patterns relate to obesity and substance use in the same ways (same magnitude of risk). To evaluate these patterns, a latent profile analysis was conducted, resulting in a three-profile model. Profile 1 (8% of sample) was characterized by the lowest levels of EF, MD, DT and highest levels of stress and anhedonia, profile 2 (44%) intermediate levels, and profile 3 (48%) the highest levels of EF, MD, DT and lowest levels of stress and anhedonia. Youth classified to profile 1 reported significantly greater levels of both obesogenic and substance use behaviors relative to other profiles. Findings suggest that adolescents engaging in obesogenic and substance use behaviors may share common profiles of psychosocial risk.

A new way for handling mobility in longitudinal data.

In the social sciences, applied researchers often face a statistical dilemma when multilevel data is structured such that lower-level units are not purely clustered within higher-level units. To aid applied researchers in appropriately analyzing such data structures, this study proposes a multiple membership growth curve model (MM-GCM). The MM-GCM offers some advantages to other similar modeling approaches, including greater flexibility in modeling the intercept at the time-point most desired for interpretation. A real longitudinal dataset from the field of education with a multiple membership structure, where some students changed schools over time, was used to demonstrate the application of the MM-GCM. Baseline and conditional MM-GCMs are presented, and parameter estimates were compared with two other common approaches to handling such data structures - the final school-GCM that ignores mobile students by only modeling the final school attended and the delete-GCM that deletes mobile students. Additionally, a simulation study was conducted to further assess the impact of ignoring mobility on parameter estimates. The results indicate that ignoring mobility results in substantial bias in model estimates, especially for cluster-level coefficients and variance components.

The effect of sensation seeking on alcohol use among middle school students: a latent state-trait analysis.

BACKGROUND: Sensation seeking has been implicated as a major risk factor for underage alcohol use, however little research into this personality trait has been conducted among children. OBJECTIVE: The current study examined if sensation seeking presents as a state or trait in children, and if the state or trait predicted future alcohol use. METHODS: A latent state-trait (LST) analysis was conducted among 552 individuals (54.3% female; age range 8-13; mean age 9.3) to determine the state or trait-based aspects of sensation seeking, and if this state or trait predicted future alcohol use. Sensation seeking behavior and lifetime alcohol use were assessed at four time points using two previously validated measures. RESULTS: Between 49.4% and 95.3% of individual differences in sensation seeking could be attributed to a stable underlying sensation seeking trait. Further, logistic regression of the stable trait of sensation seeking predicted future alcohol use. A one unit increase in the latent trait increased the odds a student would try alcohol by 7.83 times (95% CI = 1.49-41.11, p = .015). Standardized regression coefficients revealed that an increase of one standard deviation in the latent trait of sensation seeking increased the odds of experimentation with alcohol by 1.29 times (95% CI = 1.11-1.49, p = .001). CONCLUSION: Findings suggest sensation seeking presents as a stable trait during childhood, which can cause children to seek out a novel or exciting behaviors such as alcohol use. Future substance use interventions may need to account for the influence of the underlying trait.

Measuring Functional Impairment in Children and Adolescents: Psychometric Properties of the Columbia Impairment Scale (CIS).

The role of measuring functional impairment holds an important place in research, clinical practice, and service provision for children and adolescents. Responding to the growing need to measure serious emotional disturbances at the local, state, and national level, the Columbia Impairment Scale (CIS) was developed in the early 1990s and has remained one of the several popular scales for assessing functional impairment. However, despite the growing popularity of the instrument in research and practice, only a few studies to date have specifically examined the psychometric properties of the CIS. In this article, we describe the results of the first item response theory analysis of the CIS utilizing nationally representative data from the Medical Expenditure Panel Survey (N = 69,966). The results of our analysis lend support to the essential unidimensionality of the CIS and demonstrate that the scale is most reliable for those who exhibit high levels of functional impairment. Given the psychometric properties of the scale identified by our analysis, we contend that the CIS is a viable measure in the ongoing efforts to establish a national epidemiologic surveillance system to track the prevalence and impact of serious emotional disturbances in children and adolescents.

The Effect of E-cigarette Commercials on Youth Smoking: A Prospective Study.

Objectives: In this study, we assessed whether commercials for electronic cigarettes (e-cigarettes) influence the use of e-cigarettes, cigarettes, and cigars among high-risk youth in southern California. Methods: We recruited students (N = 1060) from 29 alternative high schools into a prospective cohort study. We used multilevel Poisson regression models to examine whether exposure to e-cigarette commercials and perceptions of their appeal predicted increased use of e-cigarettes, cigarettes, and cigars one year later. We also tested the potential moderating effect of gender and ethnicity. Results: Models with and without covariates suggest that exposure to e-cigarette commercials is a statistically significant predictor of increased use of e-cigarettes. When gender was added to the models as a moderator, the relationships between commercial exposure and future use of e-cigarettes and cigars were found to be stronger among females. Unadjusted and adjusted models also indicated that students with favorable perceptions of e-cigarette commercials reported greater use of e-cigarettes, cigarettes, and cigars one year later. Conclusions: E-cigarette commercials may play an important role in persuading high-risk youth to use nicotine and tobacco products. Extending the Broadcast Advertising Ban of 1971 to include a broader range of products may be critical to preventing future generations from becoming addicted to nicotine.

Executive function and probabilities of engaging in long-term sedentary and high calorie/low nutrition eating behaviors in early adolescence.

PURPOSE: Consumption of high calorie/low nutrition (HCLN) foods, as well as high levels of sedentary behavior (SB), may play a substantial role in the development of childhood overweight and obesity. However, the choice to engage or not engage in this behavior may be impacted by limits in executive functioning (EF) - a set of higher order functions related to decision making, planning, and inhibitory processes. METHODS: The present study, as part of a large multiple health risk behavior trial designed to prevent substance use and obesity, evaluated the relationship between specific subdomains of EF and long-term patterns of HCLN food consumption and SB among a population of elementary school students (n = 709). RESULTS: Utilizing a form of mixture modeling based on a latent transition analysis framework, subdomains of EF were found to influence the probability that students would report high levels of HCLN food consumption and SB over a thirty-month period. Gender and socioeconomic status further influenced the likelihood that students with poor EF would repeatedly engage in these unhealthy behaviors. CONCLUSIONS: HCLN food consumption and SB in childhood can lead to an increased risk of becoming overweight or obese. Findings suggest that long term EF training, as well as the creation of environments that support appropriate decision-making, could be an important focus of future health promotion and education.

Evaluation of a Noyce program: Development of teacher leaders in STEM education.

The development of teacher leaders in science, technology, engineering, and mathematics has become a focus as demand grows on the national scale to improve student learning in these disciplines. As teachers' role in leadership continues to be redefined, research and professional development in teacher leadership will continue to evolve. Given the lack of a clear conceptualization of teacher leadership in the empirical literature, there is a clear methodological challenge for evaluators who are charged with assessing the impact of teacher leadership professional development programs. This paper describes how both the Utilization-Focused Evaluation and Theory-Driven Evaluation frameworks were used concurrently to design evaluation methods that were effective for assessing the impact of a dynamic teacher leadership program. The evaluation is specifically situated within the context of a Robert Noyce Scholarship Program, which aimed to grow veteran science teachers into teacher leaders. The paper describes how the evaluation frameworks used guided the evaluation methods, provides illustrative evaluation results, and states lessons learned from the author's experiences working within this context. This paper aims to provide an example of evaluation methods that could be replicated by evaluators' working within a Noyce or teacher leadership context.

Affective decision-making moderates the effects of automatic associations on alcohol use among drug offenders.

BACKGROUND: This study used a dual-process model of cognition in order to investigate the possible influence of automatic and deliberative processes on lifetime alcohol use in a sample of drug offenders. OBJECTIVE: The objective was to determine if automatic/implicit associations in memory can exert an influence over an individual's alcohol use and if decision-making ability could potentially modify the influence of these associations. METHODS: 168 participants completed a battery of cognitive tests measuring implicit alcohol associations in memory (verb generation) as well as their affective decision-making ability (Iowa Gambling Task). Structural equation modeling procedures were used to test the relationship between implicit associations, decision-making, and lifetime alcohol use. RESULTS: Results revealed that among participants with lower levels of decision-making, implicit alcohol associations more strongly predicted higher lifetime alcohol use. CONCLUSION: These findings provide further support for the interaction between a specific decision function and its influence over automatic processes in regulating alcohol use behavior in a risky population. Understanding the interaction between automatic associations and decision processes may aid in developing more effective intervention components.

Cigarette smoking is associated with unhealthy patterns of food consumption, physical activity, sleep impairment, and alcohol drinking in Chinese male adults.

OBJECTIVES: According to a recent national survey, tobacco use is a critical public health issue in China, with more than two-thirds of Chinese males smoking. Findings in Western populations suggest that smoking may cluster with other health-risk behaviors. To explore these relationships in Chinese male adults, we utilized baseline data from the China Seven Cities Study (CSCS). METHODS: Male adults (n = 12,122) were included. Smoking status was defined as never smokers, ex-smokers, current smokers, and current heavy smokers. Logistic regression was employed to investigate the association of cigarette smoking and patterns of food consumption, physical activity, and alcohol drinking. RESULTS: After controlling for age, socioeconomic status, and city residence, heavy smokers consumed significantly less vegetables, fruits, milk and other dairy products, spent significantly more time watching television, slept and exercised less, and got drunk or engaged in binge drinking more frequently compared to never, ex-, or current smokers (p < 0.05). CONCLUSIONS: Findings suggest significant associations of heavy cigarette smoking with other health-risk behaviors in Chinese male adults, underscoring the need for tobacco control interventions for Chinese males.

Smoking Trends and Disparities Among Black and Non-Hispanic Whites in California.

OBJECTIVES: The current study examined disparities in smoking trends across Blacks and non-Hispanic Whites in California. METHODS: Data from the 1996 to 2008 California Tobacco Survey were analyzed to examine trends in smoking behaviors and cessation across Blacks and non-Hispanic Whites. RESULTS: A decrease in overall ever and current smoking was observed for both Black and non-Hispanic Whites across the 12-year time period. A striking decrease in proportions of heavy daily smokers for both Black and non-Hispanic Whites were observed. Proportions of light and intermittent smokers and moderate daily smokers displayed modest increases for Blacks, but large increases for non-Hispanic Whites. Increases in successful cessation were also observed for Blacks and, to a lesser extent, for non-Hispanic Whites. DISCUSSION: Smoking behavior and cessation trends across Blacks and non-Hispanic Whites were revealing. The decline in heavy daily and former smokers may demonstrate the success and effectiveness of tobacco control efforts in California. However, the increase in proportions of light and intermittent smokers and moderate daily smokers for both Blacks and non-Hispanic Whites demonstrates a need for tobacco cessation efforts focused on lighter smokers.

Neural correlates of a Go/NoGo task with alcohol stimuli in light and heavy young drinkers.

Inhibitory processes are highly relevant to behavioral control affecting decisions made daily. The Go/NoGo task is a common task used to tap basic inhibitory processes important in higher order executive functioning. The present study assessed neural correlates of response inhibition during performance of a Go/NoGo task in which NoGo signals or tests of inhibitory control consisted of images of beer bottles. Group comparisons were conducted between 21 heavy and 20 light drinkers, ranging in age from 18 to 22. Behaviorally, overall performance assessed with d-prime was significantly better among the lighter drinkers. On a neural level, the heavy drinkers showed significantly greater activity in the right dorsolateral prefrontal cortex, medial frontal cortex and cingulate relative to the light drinkers during the NoGo trials. These regions are implicated in reflective or control processing of information. Further, heavy drinkers showed significantly greater activity in the insula relative to light drinkers during NoGo trials, a neural region implicated in habit circuitry and tied to cue induced urges and emotional memories of physical effects of drugs. These results suggest that the heavier drinkers may have experienced increased working memory demand and control efforts to withhold a response due to poorer inhibitory control from enhanced salience of alcohol cues on the beer NoGo trials, which also engaged insula mediated effects.

Inhibitory control effects in adolescent binge eating and consumption of sugar-sweetened beverages and snacks.

Inhibitory control and sensitivity to reward are relevant to the food choices individuals make frequently. An imbalance of these systems can lead to deficits in decision-making that are relevant to food ingestion. This study evaluated the relationship between dietary behaviors - binge eating and consumption of sweetened beverages and snacks - and behavioral control processes among 198 adolescents, ages 14 to 17. Neurocognitive control processes were assessed with the Iowa Gambling Task (IGT), a generic Go/No-Go task, and a food-specific Go/No-Go task. The food-specific version directly ties the task to food cues that trigger responses, addressing an integral link between cue-habit processes. Diet was assessed with self-administered food frequency and binge eating questionnaires. Latent variable models revealed marked gender differences. Inhibitory problems on the food-specific and generic Go/No-Go tasks were significantly correlated with binge eating only in females, whereas inhibitory problems measured with these tasks were the strongest correlates of sweet snack consumption in males. Higher BMI percentile and sedentary behavior also predicted binge eating in females and sweet snack consumption in males. Inhibitory problems on the generic Go/No-Go, poorer affective decision-making on the IGT, and sedentary behavior were associated with sweetened beverage consumption in males, but not females. The food-specific Go/No-Go was not predictive in models evaluating sweetened beverage consumption, providing some initial discriminant validity for the task, which consisted of sweet/fatty snacks as no-go signals and no sugar-sweetened beverage signals. This work extends research findings, revealing gender differences in inhibitory function relevant to behavioral control. Further, the findings contribute to research implicating the relevance of cues in habitual behaviors and their relationship to snack food consumption in an understudied population of diverse adolescents not receiving treatment for eating disorders.