Implementation of a Computerized Tablet‐Survey in an Adolescent Large‐Scale, School‐Based Study

Delk, Joanne; Harrell, Melissa B.; Fakhouri, Tala H.I.; Muir, Katelyn A.; Perry, Cheryl L.

doi:10.1111/josh.12521

Cited by 16 publications

(9 citation statements)

References 15 publications

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“…More details about its complex sampling design can be found elsewhere (Pérez et al, 2017). The baseline (wave 1) survey was administered at 79 schools between October 2014 and June 2015 using a computerized form on tablets (Delk et al, 2017). The University of Texas Health Science Center at Houston’s Institutional Review Board approved this study (reference number: HSC-SPH-13-0377).…”

Section: Methodsmentioning

confidence: 99%

Subjective experiences at first use of cigarette, e-cigarettes, hookah, and cigar products among Texas adolescents

Mantey¹,

Harrell²,

Case³

et al. 2017

Drug and Alcohol Dependence

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Introduction Subjective experiences (“SEs”) at first cigarette use have been thoroughly examined; however, limited research has examined SEs at first use of non-cigarette products. This study addresses this gap in the literature. Methods Cross-sectional data from 6th, 8th and 10th grade students in four metropolitan areas of Texas (n = 3907/N = 461,069). Nausea, coughing, relaxation, rush/buzz, and dizziness at first use were assessed for cigarettes, e-cigarettes, hookah, and cigar products. Chi-square analyses examined differences in the prevalence of first use SEs by product. Weighted multiple logistic regression analyses examined the association of SEs and current product use. Covariates were grade, gender, race/ethnicity, and current other tobacco product use. Results Exploratory factor analysis of SEs determined differing factor structures across tobacco products. For example, the following items loaded onto the positive SE factor: 1) relaxation, rush, and dizziness for cigarettes, and 2) relaxation and rush for e-cigarettes, hookah, and cigar products. Prevalence of negative SEs (coughing and nausea) were higher for cigarette and cigar products compared to e-cigarettes and hookah. Positive SEs for cigarettes were associated with increased odds of current cigarette use (AOR = 1.51); similarly positive SEs for cigars were associated with increased odds of current cigar use (AOR = 2.11). Feeling nauseous at first use of cigars was associated with decreased odds of current cigar use (AOR = 0.18). No SEs were associated with current e-cigarette or hookah use. Conclusions Subjective experiences at first use differ by tobacco product. Longitudinal studies are needed to examine temporal relationships between SEs at first use and sustained tobacco use.

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Section: Methodsmentioning

confidence: 99%

Subjective experiences at first use of cigarette, e-cigarettes, hookah, and cigar products among Texas adolescents

Mantey¹,

Harrell²,

Case³

et al. 2017

Drug and Alcohol Dependence

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“…The median number of questions received by students was 137, with an average administration time of 45 minutes. The majority of students (58.1%) answered all items, and 92% of students answered 96% or more of the items ( Delk, Harrell, Fakhouri, Muir, & Perry, 2017 ). Active consent from parents/guardians and assent from students were obtained for all data collection waves.…”

Section: Methodsmentioning

confidence: 99%

Measurement and predictive value of susceptibility to cigarettes, e-cigarettes, cigars, and hookah among Texas adolescents

Carey

Wilkinson

Harrell

et al. 2018

Addictive Behaviors Reports

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Susceptibility to cigarette smoking, defined as the lack of a firm commitment not to smoke in the future, begins in childhood and is a phase in the transition from never to ever use of cigarettes. While a consistent and validated predictor of cigarette use, little research has assessed whether the susceptibility construct applies equally well across other tobacco products. Baseline data were collected in 2014–2015 from a representative sample of (n = 2844) middle and high school students in five counties surrounding the four largest cities in Texas, (49% female and mean age 13.13 years, with subsequent waves at 6, 12, and 18 months. Confirmatory factor analysis examined the appropriateness of a three-item susceptibility measure (product-specific curiosity, intention to use, and peer influence) across product types and ethnic groups (Hispanic versus non-Hispanic). Logistic regression examined whether product specific susceptibility at baseline predicted future product initiation. At baseline, 11.5%, 17.0%, 17.4% and 29.4%, of adolescent never users were susceptible to cigars, cigarettes, hookah and e-cigarettes, respectively; significantly more Hispanic than non-Hispanic adolescents were susceptible to e-cigarettes (32.4% versus 26%, p < 0.01) and cigarettes (19.9% versus 13.9%, p < 0.05). Product-specific items were significantly and consistently associated with the respective underlying susceptibility product construct and across ethnic groups (p < 0.001 for all). Susceptibility to e-cigarettes (AOR = 2.28–6.64) or any combustible product (cigarettes, hookah, cigars; AOR = 3.38–5.20) significantly predicted subsequent ever use. This study confirms the appropriateness of the susceptibility construct across four tobacco product types and ethnic groups, and the utility of susceptibility in predicting future product use among adolescents.

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“…Both surveys relied on the same format, which included pictures of e-cigarette devices to enhance the validity of related measures. 38 All survey measures were adapted from national surveillance studies (eg, PATH, NYTS) 39,40 and underwent cognitive testing before implementation.…”

Section: Methodsmentioning

confidence: 99%

Recall of E-cigarette Advertisements and Adolescent E-cigarette Use

et al. 2017

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Objective We examined the impact of e-cigarette advertising on e-cigarette use behaviors among youth over time. Methods At baseline, 3907 students participated in a youth tobacco surveillance study from 2014–2015 and 2488 students completed a 6-month follow-up. Weighted logistic regression models investigated the recall of e-cigarette advertisements (TV/radio/billboards/retail/Internet) as a risk factor for e-cigarette perceived harm, use, and susceptibility. Results The odds of ever e-cigarette use was 3 times higher (AOR=2.99; 95% CI, 1.50–5.97) at 6-month follow-up among e-cigarette never-users who recalled e-cigarette advertisements in retail stores at baseline, compared to those who did not. Likewise, the odds of current e-cigarette use and susceptibility to e-cigarette use at 6-month follow-up were 2.03 (95% CI, 1.11–3.72) and 1.77 (95% CI, 1.20–2.61), respectively. Additionally, recall of e-cigarette advertisements on the Internet at baseline was significantly related to current use (AOR=2.17; 95% CI, 1.05–4.48) and susceptibility to use e-cigarettes (AOR=1.72;95% CI, 1.15–2.58) at 6-month follow-up. Conclusions Recall of e-cigarette advertisements at point-of-sale and on the Internet was significantly associated with adolescent e-cigarette susceptibility and use, which supports the need to minimize adolescent exposure to these advertisements.

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Implementation of a Computerized Tablet‐Survey in an Adolescent Large‐Scale, School‐Based Study

Cited by 16 publications

References 15 publications

Subjective experiences at first use of cigarette, e-cigarettes, hookah, and cigar products among Texas adolescents

Subjective experiences at first use of cigarette, e-cigarettes, hookah, and cigar products among Texas adolescents

Measurement and predictive value of susceptibility to cigarettes, e-cigarettes, cigars, and hookah among Texas adolescents

Recall of E-cigarette Advertisements and Adolescent E-cigarette Use

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