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Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Psychology

The University of San Francisco

2020

Mental health

Articles 1 - 6 of 6

Full-Text Articles in Social and Behavioral Sciences

Loss, Grief, And Racial Health Disparities During Covid-19: Same Storm, Different Boats, Joyce Yang, Sierra Carter Oct 2020

Loss, Grief, And Racial Health Disparities During Covid-19: Same Storm, Different Boats, Joyce Yang, Sierra Carter

Journal of Interdisciplinary Perspectives and Scholarship

No abstract provided.


Socially Just Trauma-Informed Responses To Covid-19 With Undocumented Communities, Daniela Dominguez Oct 2020

Socially Just Trauma-Informed Responses To Covid-19 With Undocumented Communities, Daniela Dominguez

Journal of Interdisciplinary Perspectives and Scholarship

No abstract provided.


Xenophobia And Racism Against Asian Americans During The Covid-19 Pandemic: Mental Health Implications, Hsiu-Lan Cheng Oct 2020

Xenophobia And Racism Against Asian Americans During The Covid-19 Pandemic: Mental Health Implications, Hsiu-Lan Cheng

Journal of Interdisciplinary Perspectives and Scholarship

No abstract provided.


Minority Stress, Social Support, And Mental Health Among Lgbqp+ Religious Disaffiliates, Kate Jablonski Aug 2020

Minority Stress, Social Support, And Mental Health Among Lgbqp+ Religious Disaffiliates, Kate Jablonski

Doctoral Dissertations

The present study investigated the association between four minority stress processes (victimization, internalized heterosexism, rejection sensitivity, and disclosure of sexual orientation identity) and symptoms of depression and anxiety among lesbian, gay, bisexual, queer, pansexual, or otherwise non-heterosexual (LGBQP+) disaffiliates from non-affirming religions, and whether social support mediated these relationships. A nonexperimental, cross-sectional, correlational design was used. Participants were recruited through Reddit, a popular social-networking site, and completed an online survey that assessed experiences of minority stress, perceptions of social support, and symptoms of depression and anxiety. Participants were 161 non-religious, US-born, cisgender, LGBQP+ Reddit-users who identified as having disaffiliated from …


An Exploration Of Social Networking Use And Mental Health In Transgender, Gender Non-Conforming, Gender Non-Binary, And Gender Fluid Persons, Jennifer Trimpey Aug 2020

An Exploration Of Social Networking Use And Mental Health In Transgender, Gender Non-Conforming, Gender Non-Binary, And Gender Fluid Persons, Jennifer Trimpey

Doctoral Dissertations

Social networking sites (SNS) allow for rapid information sharing in online spaces. Research in the general public suggests that extended SNS use corresponds with poor mental health outcomes such as depression and anxiety. Research regarding SNS use in LGBT populations seems to promote interpersonal connectedness. While such studies tend to include gender non-conforming persons (GNC), this group often represents a minimal proportion of participants. This study sought to explore SNS and mental health in persons identifying as GNC. A grounded theory approach was used to analyze the data to develop a substantive theory regarding SNS and mental health in this …


Estimating Predictors Of Mental Well-Being Through Analysis Of Children’S Drawings: The Case Of Syrian Refugees, Stephanie Smith May 2020

Estimating Predictors Of Mental Well-Being Through Analysis Of Children’S Drawings: The Case Of Syrian Refugees, Stephanie Smith

Master's Theses

There are currently over 65 million individuals that have been forcibly displaced globally. The cumulative trauma that comes from the refugee experience and exposure to violence has proven to have long-term negative psychological outcomes and thus negative impacts on human capital in the long run. Given that over 50% percent of the global refugee population are children, the ability to efficiently and accurately assess their mental well-being is of critical importance. Using data from over 2000 refugee children in Jordan, I use machine learning techniques to find key predictors of psychological distress, PTSD, and exposure to violence found in children’s …