Texas Adolescent Tobacco and Marketing Surveillance System's Design
Adriana Pérez1, Melissa B Harrell1, Raja I Malkani1
1Adriana Pérez, Associate Professor, The University of Texas Health Science Center at Houston- UTHealth, School of Public Health, Department of Biostatistics, Austin, TX. Melissa B. Harrell, Associate Professor, The University of Texas Health Science Center at Houston- UTHealth, School of Public Health, Department of Epidemiology, Human Genetics and Environmental Sciences, Austin, TX. Raja I. Malkani, Consultant, The University of Texas Health Science Center at Houston-UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Christian D. Jackson, Statistician, The University of Texas Health Science Center at Houston- UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Joanne Delk, Project Coordinator, The University of Texas Health Science Center at Houston- UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Prince A. Allotey, Senior Statistician, The University of Texas Health Science Center at Houston- UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Krystin J. Matthews, Graduate Research Assistant, The University of Texas Health Science Center at Houston- UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Pablo Martinez, Programmer II, The University of Texas Health Science Center at Houston- UTHealth, Michael & Susan Dell Center for Healthy Living, Austin, TX. Cheryl L. Perry, Professor, The University of Texas Health Science Center at Houston-UTHealth, School of Public Health, Department of Health Promotion and Behavioral, Austin, TX.
Objectives:
To provide a full methodological description of the design of the wave I and II (6-month follow-up) surveys of the Texas Adolescent Tobacco and Marketing Surveillance System (TATAMS), a longitudinal surveillance study of 6th, 8th, and 10th grade students who attended schools in Bexar, Dallas, Tarrant, Harris, or Travis counties, where the 4 largest cities in Texas (San Antonio, Dallas, Fort Worth, Houston, and Austin, respectively) are located.
Methods:
TATAMS used a complex probability design, yielding representative estimates of these students in these counties during the 2014-2015 academic year. Weighted prevalence of the use of tobacco products, drugs and alcohol in wave I, and the percent of: (i) bias, (ii) relative bias, and (iii) relative bias ratio, between waves I and II are estimated.
Results:
The wave I sample included 79 schools and 3,907 students. The prevalence of current cigarette, e-cigarette and hookah use at wave I was 3.5%, 7.4%, and 2.5%, respectively. Small biases, mostly less than 3.5%, were observed for nonrespondents in wave II.
Conclusions:
Even with adaptions to the sampling methodology, the resulting sample adequately represents the target population. Results from TATAMS will have important implications for future tobacco policy in Texas and federal regulation.
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