Filtering by
- All Subjects: Mental Health
- Creators: School of Life Sciences
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
Unfortunately, medication has many possible side effects, and both medication and therapy are often expensive. However, there are alternatives for someone dealing with anxiety. This book proposal offers a range of solutions for anxiety management, from do it yourself techniques like guided imagery and yoga, to biofeedback devices like HeartMath, to research trials on Eye Movement Desensitization and Reprocessing, as well as Repetitive Transcranial Magnetic Stimulation. The idea was not to outline every potential solution for anxiety, but to educate people on available opportunities and empower them to take control.
Though anxiety can be managed and reduced, there is no cure. That’s because anxiety is a normal part of life, and in most cases a helpful evolutionary tool to keep people on track. But, when this anxiety becomes a burden on someone’s life, there is a plethora of alternative solutions available. Understanding anxiety and learning to manage it is not an impossible task. This thesis provides an introduction to the idea and then allows the reader to move forward on their own path as they choose.
Keywords: Von Willebrand disease, women’s health, sexual health, mental health, reproductive health, phenomenology, and stigma
Stress for college students is nothing new and as more kids go to college the number of cases are on the rise. This issue is apparent at colleges across the nation including Arizona State University. StreetWise aims to help students prevent or appropriately deal with stress through interactive lessons teaching students life skills, social skills, and emotional intelligence.<br/>In order to prove the value of our service, StreetWise conducted a survey that asked students about their habits, thoughts on stress, and their future. Students from Arizona State University were surveyed with questions on respondent background, employment, number one stressor, preferred learning method, and topics that students were interested in learning. We found that students’ number one stressor was school but was interested in learning skills that would prepare them for their future after graduation. We used the results to make final decisions so that StreetWise could offer lessons that students would get the most value out of. This led to us conducting a second survey which included mock ups of the website, examples of interactive lesson plans, and an overview of the app. Students from the first survey were surveyed in addition to new respondents. This survey was intended for us to ensure that our service would maintain its value to students with the aesthetic and interface that we envisioned.
During the global COVID-19 pandemic in 2020, many universities shifted their focus to hosting classes and events online for their student population in order to keep them engaged. The present study investigated whether an association exists between student engagement (an individual’s engagement with class and campus) and resilience. A single-shot survey was administered to 200 participants currently enrolled as undergraduate students at Arizona State University. A multiple regression analysis and Pearson correlations were calculated. A moderate, significant correlation was found between student engagement (total score) and resilience. A significant correlation was found between cognitive engagement (student’s approach and understanding of his learning) and resilience and between valuing and resilience. Contrary to expectations, participation was not associated with resilience. Potential explanations for these results were explored and practical applications for the university were discussed.
The purpose of the current research is to synthesize and analyze the available literature on the mental health of Sikh American adolescents, addressing gaps and proposing areas of further research. It assesses and compares perceptions of mental health in both Asian Indian and Sikh demographics, as the majority of Sikhs are ethnically Asian Indian. The research is also intended to supplement the current understanding of mental health in the Sikh community with a discussion on the culturally-based risk and protective factors for mental health and Western mental health care access.
We attempted to apply a novel approach to stock market predictions. The Logistic Regression machine learning algorithm (Joseph Berkson) was applied to analyze news article headlines as represented by a bag-of-words (tri-gram and single-gram) representation in an attempt to predict the trends of stock prices based on the Dow Jones Industrial Average. The results showed that a tri-gram bag led to a 49% trend accuracy, a 1% increase when compared to the single-gram representation’s accuracy of 48%.