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- Creators: Brahms, Johannes, 1833-1897
Description
The effects of over-the-counter drug (OTC) use on college students' health has been debated in the field of psychology with researchers arguing that poor sleep quality among college students is the result of polysubstance use. However, this explanation is not a foregone conclusion. These researchers have not adequately addressed the issue poor sleep quality among college students and its relationship to polysubstance use. This is an important issue because prolonged unsupervised OTC drug use and poor sleep quality can impact long-term health and lessen students' likelihood of being successful in college. This paper addresses the issue of OTC drug use with special attention to sleep quality. Pittsburgh Sleep Quality Index Scores were collected to assess subjective sleep quality and its relationship to OTC drug use. Several other risk factors including binge drinking, marijuana use, and illicit drug use were also accounted for in this model. This study argues that, although the current literature suggests that poor sleep quality is the effect of drug use rather than the cause; the relationships between these factors are still unclear. This study aims to fill a gap in the college drug use literature by establishing a relationship between poor sleep quality and OTC drug use in a college sample.
ContributorsLara, Gustavo (Author) / Vargas, Perla (Thesis advisor) / Burleson, Mary (Committee member) / Robles-Sotelo, Elias (Committee member) / Arizona State University (Publisher)
Created2014
Description
Three experiments used a spatial serial conditioning paradigm to assess the effectiveness of spatially informative conditioned stimuli in eliciting tracking behavior in pigeons. The experimental paradigm consisted of the simultaneous presentation of 2 key lights (CS2 and CTRL), followed by another key light (CS1), followed by food (the unconditioned stimulus or US). CS2 and CTRL were presented in 2 of 3 possible locations, randomly assigned; CS1 was always presented in the same location as CS2. CS2 was designed to signal the spatial, but not the temporal locus of CS1; CS1 signaled the temporal locus of the US. In Experiment 1, differential pecking on CS2 was observed even when CS2 was present throughout the interval between CS1s, but only in a minority of pigeons. A control condition verified that pecking on CS2 was not due to temporal proximity between CS2 and US. Experiment 2 demonstrated the reversibility of spatial conditioning between CS2 and CTRL. Asymptotic performance never involved tracking CTRL more than CS2 for any of 16 pigeons. It is inferred that pigeons learned the spatial association between CS2 and CS1, and that temporal contingency facilitated its expression as tracking behavior. In a third experiment, with pigeons responding to a touchscreen monitor, differential responding to CS2 was observed only when CS2 disambiguated the location of a random CS1. When the presentation location of CS1 was held constant, no differences in responding to CS2 or CTRL were observed.
ContributorsMazur, Gabriela (Author) / Sanabria, Federico (Thesis advisor) / Killeen, Peter R (Committee member) / Robles-Sotelo, Elias (Committee member) / Ho Chen Cheung, Timothy (Committee member) / Arizona State University (Publisher)
Created2011
Description
Research in the area of childhood trauma has shown a substantial amount of psychological maladjustment following the experience of traumatic events in childhood. Trauma survivors are at risk for developing a multitude of adverse psychological outcomes as well as unsafe behaviors following the event of trauma. One unifying theme within these psychological sequelae is the nature of impulsive behaviors. Delay-discounting refers to the subjective decrease in value of a reward when its presentation is delayed. Delay-discounting is often used as an index of impulsive behavior. This study poses two primary questions: 1) Can childhood trauma predict rates of delay-discounting? 2) Could delay-discounting predict psychological maladjustment for individuals who have experienced childhood trauma? This study will seek to answer these questions using an online version of the Kirby et al., 1999 hypothetical delay-discounting method, as well as the Barratt Impulsiveness Scale (BIS-11), to measure trait impulsivity. Measures of depression (BDI-II), life events (LEC), post-traumatic stress (PCL-C), and drug and alcohol abuse (DAST-20) will also be included. Participants included a sample of university students ages 18-52 (n=521, females = 386, males = 135) with a mean age of 25.19 years. Results indicated that childhood trauma was not a significant predictor of delay-discounting rate, nor was delay-discounting rate a significant predictor of psychological maladjustment. Limitations and future directions are discussed.
ContributorsForeman, Emily S (Author) / Robles-Sotelo, Elias (Thesis advisor) / Roberts, Nicole A. (Committee member) / Hall, Deborah L. (Committee member) / Arizona State University (Publisher)
Created2012
ContributorsBrahms, Johannes, 1833-1897 (Composer)
ContributorsBrahms, Johannes, 1833-1897 (Composer)
ContributorsBrahms, Johannes, 1833-1897 (Composer)
ContributorsBrahms, Johannes, 1833-1897 (Composer)
ContributorsBrahms, Johannes, 1833-1897 (Composer)
Description
Emotion regulation repertoire, or the number of emotion regulation strategies one is able to employ when needed, is an important element of emotion regulation flexibility. Emotion regulation flexibility, the ability to regulate in accordance with changing situational contexts and demands, is predictive of emotion regulation success. Currently, little is known about emotion regulation repertoire and its association with emotional health and well-being. In particular, more can be learned about how the different strategies in one’s repertoire interact, and which strategies show stronger relationships with mental health. The current study aimed to assess the relationship of different emotion regulation strategies to mental health, including their individual and combined influence. In addition, the interaction between the use of specific emotion regulation strategies and emotion regulation flexibility with respect to mental health was examined. I hypothesized (1a) reappraisal and (1b) acceptance, two strategies previously associated with positive psychological outcomes, would be significant predictors of mental health, and (2) better flexibility would predict better mental health. In addition, I hypothesized that (3) strategies often found to be maladaptive (suppression, distraction, rumination, and experiential avoidance) would have an inverse relationship with mental health. Finally, (4) maladaptive strategies would be associated with worse mental health for those lower in flexibility. These hypotheses were tested through a questionnaire as part of a larger in-lab study. Results revealed that reappraisal and rumination were the strongest predictors of mental health. Emotion regulation flexibility did not predict mental health or moderate the relationship between individual emotion regulation strategies and mental health. Results from this study suggest some emotion regulation strategies are stronger predictors of mental health than others. This will guide future research on specific emotion regulation strategies in a repertoire as well as their combined effect on mental health. Creating a clearer picture of how different strategies interact and influence mental health will also be vital for clinical interventions.
ContributorsSchmitt, Marin (Author) / Roberts, Nicole A. (Thesis advisor) / Burleson, Mary (Committee member) / Robles-Sotelo, Elias (Committee member) / Arizona State University (Publisher)
Created2018
Description
Social discounting underlies individual altruistic decision-making, and it is frequently measured as the amount of hypothetical money one is willing to forgo for another person as a function of social distance. In the classic social discounting task, individual participants are asked to imagine their friends along a continuum of social distance, that is then used to estimate participant’s social discounting rate. While an ever-growing proportion of social interactions takes place over social media, no research has yet characterized social discounting in that context. Moreover, no research has estimated social discounting rate using real persons’ social distance, instead of the hypothetical continuum described above. Using existing social media indicators of social distance, it is now possible to estimate social discounting rate based on real people, which may lead to more accurate social discounting measurements and may expand the discounting model to real-life situations. Specifically, using computer algorithms to estimate the social distance from social media data makes it possible to assess the utility of numeric social distance indicators and the most appropriate ways to represent them. The proposed study examined the extent to which a hyperbolic model for social discounting fits social distance information retrieved from Facebook pages; and assessed whether there were differences in discounting rate when real or hypothetical social distance is used; also to further investigate whether discounting rates based on real persons are in fact based on perceived social distance by the participant, or on the imaginary social distance scale (i.e., an experimental artifact.)
It was found that the social discounting model can be applied in the social media context, even when real Facebook friends’ profiles were used as substitutes of numeric social distance indicators. Additionally, people showed similar altruistic tendencies in both the numeric and profile social discounting tests on the Facebook environment. These findings were qualified, however, by a high rate of nonsystematic data for the profile group; a rate much higher than traditional numeric paradigm. This discrepancy suggested that the allocation rates between numeric and profile approaches need further investigation to determine the factors affecting individuals’ generosity as a function of social distance indicators.
It was found that the social discounting model can be applied in the social media context, even when real Facebook friends’ profiles were used as substitutes of numeric social distance indicators. Additionally, people showed similar altruistic tendencies in both the numeric and profile social discounting tests on the Facebook environment. These findings were qualified, however, by a high rate of nonsystematic data for the profile group; a rate much higher than traditional numeric paradigm. This discrepancy suggested that the allocation rates between numeric and profile approaches need further investigation to determine the factors affecting individuals’ generosity as a function of social distance indicators.
ContributorsJiang, Linle (Author) / Miller, Paul A. (Thesis advisor) / Robles-Sotelo, Elias (Committee member) / Silva, Yasin N. (Committee member) / Arizona State University (Publisher)
Created2018