Matching Items (6)
Filtering by
- All Subjects: Anxiety
- All Subjects: longitudinal data
- Creators: Grimm, Kevin
Description
Anxiety disorder diagnosis is a risk factor for alcohol use disorders (AUDs), but mechanisms of risk are not well understood. Studies show that anxious individuals receive greater negative reinforcement from alcohol when consumed prior to a stressor, but few studies have examined whether anxious individuals receive greater negative (or positive) reinforcement from alcohol in a general drinking context (i.e., no imminent stressor). Previous studies have also failed to examine possible moderating effects of specific drinking contexts (e.g., drinking in a group or alone). Finally, no studies have investigated mediating variables that might explain the relationship between anxiety and reinforcement from alcohol, such as physiological response to alcohol (e.g., cortisol response). Data for this study were drawn from a large alcohol administration study (N = 447) wherein participants were randomized to receive alcohol (target peak BAC: .08 g%) or placebo in one of four contexts: group simulated bar, solitary simulated bar, group sterile laboratory, solitary sterile laboratory. It was hypothesized that anxiety would be associated with positive subjective response (SR) under alcohol (above and beyond placebo), indicating stronger reinforcement from alcohol. It was also hypothesized that social and physical drinking context would moderate this relationship. Finally, it was hypothesized that anxiety would be associated with a blunted cortisol response to alcohol (compared to placebo) and this blunted cortisol response would be associated with stronger positive SR and weaker negative SR. Results showed that anxiety was not associated with positive SR in the full sample, but drinking context did moderate the anxiety/SR relationship in most cases (e.g., anxiety was significantly associated with positive SR (stimulation) under placebo in solitary contexts only). There was no evidence that cortisol response to alcohol mediated the relationship between anxiety and SR. This study provides evidence that anxious drinkers expect stronger positive reinforcement from alcohol in solitary contexts, which has implications for intervention (e.g., modification of existing interventions like expectancy challenge). Null findings regarding cortisol response suggest alcohol’s effect on cortisol response to stress (rather than cortisol response to alcohol consumption) may be more relevant for SR and drinking behavior among anxious individuals.
ContributorsMenary, Kyle Robert (Author) / Corbin, William (Thesis advisor) / Chassin, Laurie (Committee member) / Meier, Madeline (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2018
Description
This paper investigates a relatively new analysis method for longitudinal data in the framework of functional data analysis. This approach treats longitudinal data as so-called sparse functional data. The first section of the paper introduces functional data and the general ideas of functional data analysis. The second section discusses the analysis of longitudinal data in the context of functional data analysis, while considering the unique characteristics of longitudinal data such, in particular sparseness and missing data. The third section introduces functional mixed-effects models that can handle these unique characteristics of sparseness and missingness. The next section discusses a preliminary simulation study conducted to examine the performance of a functional mixed-effects model under various conditions. An extended simulation study was carried out to evaluate the estimation accuracy of a functional mixed-effects model. Specifically, the accuracy of the estimated trajectories was examined under various conditions including different types of missing data and varying levels of sparseness.
ContributorsWard, Kimberly l (Author) / Suk, Hye Won (Thesis advisor) / Aiken, Leona (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2016
Description
This dissertation examined how anxiety levels and social competence change across the course of early elementary school, as well as how individual differences at the transition to kindergarten may influence these trajectories. Previous research has supported unidirectional relations among anxiety and social competence, but few studies explore how inter- and intra-individual changes in social competence and anxiety may be related across time. From a developmental perspective, studying these trajectories following the transition to kindergarten is important, as cognitive and emotion regulation capacities increase markedly across kindergarten, and the relative success with which children navigate this transition can have a bearing on future social and emotional functioning across elementary school. In addition, given gender differences in anxiety manifestation and social competence development broadly, gender differences were also examined in an exploratory manner. Data from parent and teacher reports of a community sample of 291 children across kindergarten, 1st, and 2nd grades were analyzed. Results from bivariate growth models revealed steeper increases in anxiety, relative to peers in the sample, were associated with steeper decreases in social competence across time. This finding held after controlling for externalizing behavior problems at each time point, which suggests that relations among anxiety and social competence may be independent of other behavior problems commonly associated with poor social adjustment. Temperament variables were associated with changes in social competence, such that purportedly "risky" temperament traits of higher negative emotionality and lower attention control were associated with concurrently lower social competence in kindergarten, but with relatively steeper increases in social competence across time. Temperament variables in kindergarten were unrelated with changes in anxiety across time. Gender differences in relations among anxiety in kindergarten and growth in social competence also were revealed. Findings for teacher and parent reports of child behavior varied. Results are discussed with respect to contexts that may drive differences between parent and teacher reports of child behavior, as well as key developmental considerations that may help to explain why kindergarten temperament variables examined herein appear to predict changes in social competence but not changes in anxiety levels.
ContributorsParker, Julia Humphrey (Author) / Pina, Armando A. (Thesis advisor) / Grimm, Kevin (Committee member) / Doane, Leah D. (Committee member) / Valiente, Carlos (Committee member) / Arizona State University (Publisher)
Created2016
Description
Anxiety is one of the most common mental illnesses in the United States. In this project, I chose to explore how food is one of the most accessible and inexpensive ways of treating anxiety. This creative project examines the major key components of gut health including the balance of neurotransmitters and bacteria in the gut, restoring hydrochloric acid through celery juice, removing heavy metal toxins through food, eating fermented foods, and limiting refined carbohydrates, and high-sugar consumption. Additionally, this creative project explores my own personal journey through the implementation of foods that influence anxiety revealed in a systemic review over the course of a 6-week period.
ContributorsHunter, Madelyn Grace (Author) / Hart, Teresa (Thesis director) / Barth, Christina (Committee member) / College of Health Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Depression and anxiety are among the most prevalent psychiatric disorders for adults and adolescents and can be intergenerationally transmitted from parents to their children. Moreover, depressive and anxiety disorders often develop during adolescence. Additionally, family environment and the parent-child relationship are significant predictors of mental health among adolescents. Yet, few studies have considered how adolescent depression and anxiety problems may influence the family environment and mental health of parents. Moreover, even fewer studies have examined how depressive and anxious intergenerational pathways may vary by racial/ethnic status. As such, bidirectional effects of parent and adolescent depressive and anxiety problems were investigated using data from the Adolescent Brain and Cognitive Development (ABCD) study at Time 1 (T1)(Mage = 9.92, n=11,861), Time 2 (T2), and Time 3 (T3). Each follow-up was approximately one-year apart. Multiple path analysis models were used to examined bidirectional associations between parent and adolescent A) depressive problems B) anxiety problems and C) depressive and anxiety problems from T1 to T3 and how family conflict and adolescent-reported parental acceptance at T2 mediated these associations. Measurement invariance testing and multigroup analyses were conducted across non-Hispanic White, Hispanic, and non-Hispanic Black participants to examine if depressive and anxious pathways or measurement differed by racial-ethnic status. Findings revealed that both adolescent and parent depression problems at T1 predicted increases in depression at T3. Greater adolescent or parent anxiety problems at T1 predicted increases in adolescent and parent anxiety problems at T3. Greater family conflict and lower perceived parental acceptance at T2 predicted increases in adolescent depressive problems but did not predict adolescent anxiety problems over time. Parental depressive and anxiety problems at T1 did not predict adolescent-reported parental acceptance at T2 but did predict greater family conflict. Measurement noninvariance was found for family conflict and adolescent depressive problems. Multigroup analyses revealed that the association between both depressive and anxiety problems from T1 to T3 was weaker among Black adolescents compared to White and Hispanic adolescents. In summary, this research contributes valuable insights into the measurement of and relationship between parent and adolescent mental health, family dynamics, and adolescent perceived parental acceptance.
ContributorsJamil, Belal (Author) / Su, Jinni (Thesis advisor) / Doane, Leah (Committee member) / Grimm, Kevin (Committee member) / Arizona State University (Publisher)
Created2024
Description
Longitudinal recursive partitioning (LRP) is a tree-based method for longitudinal data. It takes a sample of individuals that were each measured repeatedly across time, and it splits them based on a set of covariates such that individuals with similar trajectories become grouped together into nodes. LRP does this by fitting a mixed-effects model to each node every time that it becomes partitioned and extracting the deviance, which is the measure of node purity. LRP is implemented using the classification and regression tree algorithm, which suffers from a variable selection bias and does not guarantee reaching a global optimum. Additionally, fitting mixed-effects models to each potential split only to extract the deviance and discard the rest of the information is a computationally intensive procedure. Therefore, in this dissertation, I address the high computational demand, variable selection bias, and local optimum solution. I propose three approximation methods that reduce the computational demand of LRP, and at the same time, allow for a straightforward extension to recursive partitioning algorithms that do not have a variable selection bias and can reach the global optimum solution. In the three proposed approximations, a mixed-effects model is fit to the full data, and the growth curve coefficients for each individual are extracted. Then, (1) a principal component analysis is fit to the set of coefficients and the principal component score is extracted for each individual, (2) a one-factor model is fit to the coefficients and the factor score is extracted, or (3) the coefficients are summed. The three methods result in each individual having a single score that represents the growth curve trajectory. Therefore, now that the outcome is a single score for each individual, any tree-based method may be used for partitioning the data and group the individuals together. Once the individuals are assigned to their final nodes, a mixed-effects model is fit to each terminal node with the individuals belonging to it.
I conduct a simulation study, where I show that the approximation methods achieve the goals proposed while maintaining a similar level of out-of-sample prediction accuracy as LRP. I then illustrate and compare the methods using an applied data.
I conduct a simulation study, where I show that the approximation methods achieve the goals proposed while maintaining a similar level of out-of-sample prediction accuracy as LRP. I then illustrate and compare the methods using an applied data.
ContributorsStegmann, Gabriela (Author) / Grimm, Kevin (Thesis advisor) / Edwards, Michael (Committee member) / MacKinnon, David (Committee member) / McNeish, Daniel (Committee member) / Arizona State University (Publisher)
Created2019