Time-Varying Processes Involved in Smoking Lapse in a Randomized Trial of Smoking Cessation Therapies

Vasilenko, Sara A.; Piper, Megan E.; Lanza, Stephanie T.; Liu, Xiaoyu; Yang, Jingyun; Li, Runze

doi:10.1093/ntr/ntt185

Cited by 42 publications

(31 citation statements)

References 29 publications

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“…Effects, and their significance, may take on a different value depending on where in time the effect is examined. In the present study, we utilized logistic TVEM, a variant for binary outcomes (Vasilenko et al, 2014; Yang, Tan, Li, & Wagner, 2012), to test the hypothesis that the strength of the association between weekly quantity of alcohol use and the odds of an alcohol consequence that week would decrease from the first week of freshmen year to the end of sophomore year. We also conducted an exploratory examination of gender differences in the strength of association between use and consequences over time.…”

Section: Introductionmentioning

confidence: 99%

A time-varying effect model of the dynamic association between alcohol use and consequences over the first two years of college

Merrill

Kenney

Barnett

2017

Addictive Behaviors

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College students experience myriad negative consequences from alcohol misuse. The strength of the association between level of alcohol use and consequences may change across the initial years of college, as students develop tolerance or learn to avoid negative effects of drinking. Time varying effect models (TVEM) allow for statistical examination of the changing strength of associations between two variables as they unfold across time. Goals of the present study were to test the hypothesis that the association between weekly quantity of alcohol use and the odds of an alcohol consequence that week would decrease in strength from the first week of freshman year to the end of sophomore year, and to examine gender differences in the association between use and consequences over time. Participants (N=812 college student drinkers, 60% female) completed 36 assessments of alcohol use and consequences across two years (every other week). TVEM models revealed that the proportion of those for whom alcohol use led to a consequence declined across time. Aside from the first few weeks of college, the association between alcohol use and odds of a consequence was consistently stronger for women than men. Among men, the odds of a consequence declined relatively steadily over time. Among women, the strength of this association was more dynamic. This study provides initial insight into the complex relationship between drinking and consequences. Future research focusing on understanding factors that explain the decreasing association between use and consequences with time can contribute to college student alcohol education and interventions.

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Section: Introductionmentioning

confidence: 99%

A time-varying effect model of the dynamic association between alcohol use and consequences over the first two years of college

Merrill

Kenney

Barnett

2017

Addictive Behaviors

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“…Note that the term “effect” in this context refers to a regression coefficient, not a casual effect. In this study we use logistic TVEM, a variant of TVEM for binary outcomes [23–24], to test how substance use and depressive symptoms differ in their associations with multiple partners from age 14 to 32. In summary, we test the following:…”

Section: Introductionmentioning

confidence: 99%

Predictors of Multiple Sexual Partners From Adolescence Through Young Adulthood

Vasilenko

Lanza

2014

Journal of Adolescent Health

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Purpose To examine time-varying associations between predictors of recent multiple sexual partners from middle adolescence through young adulthood. Methods We examined whether the odds of multiple partners in the past year were differentially predicted by substance use and depression over time, using data from a nationally representative longitudinal study (N=11,963, 52.2% female, 18.3% African American, 11.9% Hispanic, 3.5% Asian, 2.6% other race, M age at Wave 1=16.1 years, SD=1.8). Data were analyzed using the time-varying effect model, which estimates associations between predictors and an outcome as a function of near-continuous time. Results The proportion of participants having multiple partners increased over time, leveling off at around 30% after age 20. Significant positive associations between substance use and multiple partners were strongest early in adolescence, and decreased sharply by around age 18. The significant positive association between depression and sexual behavior weakened with age, remaining significant in young adulthood for women, but not men. Conclusions These findings suggest that factors associated with having multiple recent sexual partners change from middle adolescence through young adulthood. The time-varying effect model can be used to identify risk factors that are especially salient at different ages, thus identifying which age periods may hold the greatest promise for intervention.

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“…We also fill in the knowledge gap by comparing the power of the test in the zero component and the one in the Poisson component. Furthermore, the proposed model can be applied to not only multi-wave longitudinal studies like the MLS, but also short-term studies that involve intensive data collection such as daily process data [4, 13] and ecological momentary assessment (EMA) data [14, 15, 16, 17]. …”

Section: Discussionmentioning

confidence: 99%

A time‐varying effect model for examining group differences in trajectories of zero‐inflated count outcomes with applications in substance abuse research

et al. 2016

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This study proposes a time-varying effect model for examining group differences in trajectories of zero-inflated count outcomes. The motivating example demonstrates that this zero-inflated Poisson model allows investigators to study group differences in different aspects of substance use (e.g. the probability of abstinence and the quantity of alcohol use) simultaneously. The simulation study shows that the accuracy of estimation of trajectory functions improves as the sample size increases; the accuracy under equal group sizes is only higher when the sample size is small (100). In terms of the performance of the hypothesis testing, the type I error rates are close to their corresponding significance levels under all settings. Furthermore, the power increases as the alternative hypothesis deviates more from the null hypothesis and the rate of this increasing trend is higher when the sample size is larger. Moreover, the hypothesis test for the group difference in the zero component tends to be less powerful than the test for the group difference in the Poisson component.

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Time-Varying Processes Involved in Smoking Lapse in a Randomized Trial of Smoking Cessation Therapies

Cited by 42 publications

References 29 publications

A time-varying effect model of the dynamic association between alcohol use and consequences over the first two years of college

A time-varying effect model of the dynamic association between alcohol use and consequences over the first two years of college

Predictors of Multiple Sexual Partners From Adolescence Through Young Adulthood

A time‐varying effect model for examining group differences in trajectories of zero‐inflated count outcomes with applications in substance abuse research

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