Developing a National Longitudinal Tobacco Cohort of Youth and Young Adults: The Tobacco Epidemic Evaluation Network (TEEN+) Study.

INTRODUCTION: Timely and relevant data are critical to monitoring the rapidly changing youth vaping epidemic and for understanding the prevalence, patterns of use, knowledge, and perceptions of tobacco products. While e-cigarettes have been the most used tobacco product among youth for nearly a decade, new nicotine delivery products continue to be introduced to the US market. Flavored tobacco products, including flavored e-cigarettes, menthol cigarettes, and flavored cigars, drive disparities in use by young people. AIMS AND METHODS: To examine tobacco use among youth and young adults, the Monitoring E-Cigarette Use among Youth project established a longitudinal cohort of youth and young adults (13-24)-the Tobacco Epidemic Evaluation Network (TEEN+) study. TEEN+ focuses on e-cigarette and other tobacco products use and also includes questions about other substance use (eg, marijuana, alcohol), physical health, mental health, and social determinants of health (eg, discrimination, poverty, sexual and gender identity). Geocoding of responses allows for the evaluation of local tobacco control policies. The cohort includes an oversample of California residents to generate reliable and representative state-level estimates. This manuscript provides an overview of methods and baseline demographics from Wave 1. RESULTS: The initial Wave 1 TEEN+ cohort included 10 255 in the national sample and 2761 in the California sample. CONCLUSIONS: TEEN+ study data complement nationally-representative cross-sectional studies and allow for rapid evaluation of local and state policies. This manuscript describes the study's probability-based sample recruitment. Furthermore, we identify this initiative as a resource for evaluating the impact of flavored tobacco restriction policies and informing policy implementation efforts. IMPLICATIONS: This manuscript provides an overview of the methodology and baseline characteristics for a new longitudinal cohort of youth and young adults, the Tobacco Epidemic Evaluation Network (TEEN+) study. The TEEN+ study data can be used to evaluate the impact of flavored tobacco product restriction policies and informing policy implementation efforts.

Improving the Efficiency of Inferences From Hybrid Samples for Effective Health Surveillance Surveys: Comprehensive Review of Quantitative Methods.

BACKGROUND: Increasingly, survey researchers rely on hybrid samples to improve coverage and increase the number of respondents by combining independent samples. For instance, it is possible to combine 2 probability samples with one relying on telephone and another on mail. More commonly, however, researchers are now supplementing probability samples with those from online panels that are less costly. Setting aside ad hoc approaches that are void of rigor, traditionally, the method of composite estimation has been used to blend results from different sample surveys. This means individual point estimates from different surveys are pooled together, 1 estimate at a time. Given that for a typical study many estimates must be produced, this piecemeal approach is computationally burdensome and subject to the inferential limitations of the individual surveys that are used in this process. OBJECTIVE: In this paper, we will provide a comprehensive review of the traditional method of composite estimation. Subsequently, the method of composite weighting is introduced, which is significantly more efficient, both computationally and inferentially when pooling data from multiple surveys. With the growing interest in hybrid sampling alternatives, we hope to offer an accessible methodology for improving the efficiency of inferences from such sample surveys without sacrificing rigor. METHODS: Specifically, we will illustrate why the many ad hoc procedures for blending survey data from multiple surveys are void of scientific integrity and subject to misleading inferences. Moreover, we will demonstrate how the traditional approach of composite estimation fails to offer a pragmatic and scalable solution in practice. By relying on theoretical and empirical justifications, in contrast, we will show how our proposed methodology of composite weighting is both scientifically sound and inferentially and computationally superior to the old method of composite estimation. RESULTS: Using data from 3 large surveys that have relied on hybrid samples composed of probability-based and supplemental sample components from online panels, we illustrate that our proposed method of composite weighting is superior to the traditional method of composite estimation in 2 distinct ways. Computationally, it is vastly less demanding and hence more accessible for practitioners. Inferentially, it produces more efficient estimates with higher levels of external validity when pooling data from multiple surveys. CONCLUSIONS: The new realities of the digital age have brought about a number of resilient challenges for survey researchers, which in turn have exposed some of the inefficiencies associated with the traditional methods this community has relied upon for decades. The resilience of such challenges suggests that piecemeal approaches that may have limited applicability or restricted accessibility will prove to be inadequate and transient. It is from this perspective that our proposed method of composite weighting has aimed to introduce a durable and accessible solution for hybrid sample surveys.

Examining the influence of the Enforcing Underage Drinking Laws (EUDL) program on alcohol-related outcomes in five communities surrounding Air Force bases.

In 2006, the Office of Juvenile Justice and Delinquency Prevention (OJJDP) awarded discretionary grants to five communities as part of the Enforcing Underage Drinking Laws (EUDL) initiative to implement an environmental strategy approach to reduce drinking and associated misconducts among Air Force members. The evaluation design was a within-site, pre-test/post-test intervention comparison of baseline data to out-year data. Four of the five communities had significant decreases in one or more of the outcomes of interest from pre-test to post-test. Two communities (Great Falls, MT and Tucson, AZ) had a significant decline in the compliance check failure rate of local establishments that sell alcohol. One community (Great Falls, MT) had a significant decline in arrests for possession of alcohol by a minor. Four communities (Great Falls, MT; Tucson, AZ; Phoenix, AZ; Honolulu, HI) had a significant decline in DUI/DWI arrests. These findings build on results reported in an earlier article which provided evidence to suggest that the EUDL program had an influence on self-reported drinking behaviors in three of the five communities. These two articles, in combination, provide evidence to suggest for the first time that community-level programs using an environmental strategy approach can be successful in targeting military members.

Relationship of military deployment recency, frequency, duration, and combat exposure to alcohol use in the Air Force.

OBJECTIVE: With today's new military deployment environment, characterized by more frequent and longer deployments, significant attention has focused on the effects of deployment on problem behaviors, including alcohol use. The current study examined the relationship between aspects of deployment and alcohol use. METHOD: The data for the current study were collected as part of the Air Force Community Assessment survey, an anonymous Web-based survey of Air Force members. The survey was administered to a stratified random sample of 56,137 active duty Air Force members across 80 bases worldwide; 78% were male and 22% were female. The Alcohol Use Disorders Identification Test measured the rate of alcohol problems. Deployment histories were collected using a series of questions that asked respondents about various aspects and characteristics of their recent deployments. RESULTS: Logistic regression was used to examine the impact of various aspects of deployment on problem drinking. After controlling for demographic variables related to the likelihood of problem drinking, both a higher frequency of deployment and a greater total cumulative length of time deployed since September 11, 2001, were associated with a higher likelihood of problem drinking. For each increase in deployment frequency category the odds that an Air Force member was a problem drinker increased by 14%, and for each additional year spent deployed the odds increased by 23%. CONCLUSIONS: These findings indicate a significant relationship between deployment and problem drinking. However, most members who deployed multiple times remained resilient. This points to the need for future research on protective factors that foster resiliency.