Matching Items (163)
Description
The rates of anxiety, depression, and attempted suicide for transgender individuals are extremely elevated relative to the general population. Yet, little research has been conducted about the transgender population regarding social transition (an individual presenting as their authentic/true gender, one different than the gender they were assigned at birth, in the context of everyday life) and parental acceptance. Both of which have been shown to impact the mental health of transgender individuals. The purposes of this study were: (1) To characterize a sample of transgender adults on their age of awareness of their authentic gender identity and their age of social transition. (2) Examine whether age of social transition, (3) parental acceptance, and (4) the gap in time between age of awareness and age of social transition (awareness-transition gap) were related to mental health. (5) Examine whether parental acceptance was related to age of social transition or to awareness-transition gap. (6) Examine whether age of social transition or awareness-transition gap interact with parental acceptance as correlates of mental health. The sample consisted of 115 transgender adults, ages 18 to 64. Measures were separated into 7 subheadings: demographics, transgender
on-cisgender identity, age of awareness, age of social transition, primary caregiver acceptance, secondary caregiver acceptance, and mental health. Hypotheses were partially supported for age of social transition with mental health, parental acceptance with mental health, and awareness-transition gap with parental acceptance. This study investigated under studied concepts of social transition and parental acceptance that appear to have an effect on the mental health of transgender adults.
on-cisgender identity, age of awareness, age of social transition, primary caregiver acceptance, secondary caregiver acceptance, and mental health. Hypotheses were partially supported for age of social transition with mental health, parental acceptance with mental health, and awareness-transition gap with parental acceptance. This study investigated under studied concepts of social transition and parental acceptance that appear to have an effect on the mental health of transgender adults.
ContributorsRosenberg, Beth Ann (Author) / Gonzales, Nancy (Thesis director) / Saenz, Delia (Committee member) / Davis, Mary (Committee member) / Department of Psychology (Contributor) / Sanford School of Social and Family Dynamics (Contributor) / College of Public Service and Community Solutions (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05
Description
Glioblastoma multiforme (GBMs) is the most prevalent brain tumor type and causes approximately 40% of all non-metastic primary tumors in adult patients [1]. GBMs are malignant, grade-4 brain tumors, the most aggressive classication as established by the World Health Organization and are marked by their low survival rate; the median survival time is only twelve months from initial diagnosis: Patients who live more than three years are considered long-term survivors [2]. GBMs are highly invasive and their diffusive growth pattern makes it impossible to remove the tumors by surgery alone [3]. The purpose of this paper is to use individual patient data to parameterize a model of GBMs that allows for data on tumor growth and development to be captured on a clinically relevant time scale. Such an endeavor is the rst step to a clinically applicable predictions of GBMs. Previous research has yielded models that adequately represent the development of GBMs, but they have not attempted to follow specic patient cases through the entire tumor process. Using the model utilized by Kostelich et al. [4], I will attempt to redress this deciency. In doing so, I will improve upon a family of models that can be used to approximate the time of development and/or structure evolution in GBMs. The eventual goal is to incorporate Magnetic Resonance Imaging (MRI) data into a parameterized model of GBMs in such a way that it can be used clinically to predict tumor growth and behavior. Furthermore, I hope to come to a denitive conclusion as to the accuracy of the Koteslich et al. model throughout the development of GBMs tumors.
ContributorsManning, Miles (Author) / Kostelich, Eric (Thesis director) / Kuang, Yang (Committee member) / Preul, Mark (Committee member) / Barrett, The Honors College (Contributor) / College of Liberal Arts and Sciences (Contributor)
Created2012-12
Description
Pharmacokinetic analysis is used in drug discovery programs to quantify the dynamics of an exogenous compound in a living organism. Compounds targeting the brain face additional challenges as the permeability of the blood brain barrier limits distribution of the compound into the brain tissue. Quantifying the permeability of the blood brain barrier is typically performed by euthanizing the animal at multiple time points in the study, requiring a large cohort of animals and prohibitively expensive amounts of the target compound. Previous studies have explored the use of in vivo fluorescent images as an alternative method to determine brain pharmacokinetics, but have faced challenges in quantifying the extravasation of the compound from the blood vasculature into the brain due to light scattering through the tissue prior to reaching the optical system. The correction model outlined in this study aims to correct for the effects of light scattering to enable more accurate quantification of extravasation and the dynamics of the system. The model utilizes the ratio of light scattering between the vascular and parenchymal regions of the brain to correct the extracted data. The model improved the quantification of extravasation on the positive control and provided a better understanding of the dynamics of the system, but failed to accurately quantify extravasation in the negative control and experimental analysis. Future study is needed to validate the model for the positive control and determine inclusion/exclusion criteria for experimental data.
ContributorsHack, William (Author) / Kodibagkar, Vikram (Thesis director) / Lifshitz, Jonathan (Committee member) / Griffiths, Daniel (Committee member) / Barrett, The Honors College (Contributor) / Harrington Bioengineering Program (Contributor)
Created2024-05