Day-to-Day Discrimination, Family Support, and Depressive Symptoms: Racial and Ethnic Contrasts
dc.creator | Vielehr, Peter Schuyler | |
dc.date.accessioned | 2020-08-22T21:06:47Z | |
dc.date.available | 2015-04-05 | |
dc.date.issued | 2014-10-07 | |
dc.identifier.uri | https://etd.library.vanderbilt.edu/etd-09242014-123602 | |
dc.identifier.uri | http://hdl.handle.net/1803/14222 | |
dc.description.abstract | This thesis examines the relationships among day-to-day discrimination, family social support, and depressive symptoms in a sample of African Americans, Latinos, and whites. Utilizing micro-aggression theory supplemented by the stress process framework, I find that day-to-day discrimination is inversely related to depressive symptoms in initial models, but those effects are reduced to non-significant by family support. Furthermore, the results show interesting race and ethnic differences. At both high and low levels of day-to-day discrimination, African Americans and Latinos receive a greater benefit from family support than do whites—with Latinos receiving the largest benefit. Whites who report low levels of discrimination do experience a benefit from family support; however, for whites that report high levels of discrimination, family support has no relationship with depressive symptomatology. | |
dc.format.mimetype | application/pdf | |
dc.subject | discrimination | |
dc.subject | social support | |
dc.subject | family support | |
dc.subject | mental health | |
dc.subject | microaggressions | |
dc.subject | race/ethnicity | |
dc.title | Day-to-Day Discrimination, Family Support, and Depressive Symptoms: Racial and Ethnic Contrasts | |
dc.type | thesis | |
dc.contributor.committeeMember | Lijun Song | |
dc.type.material | text | |
thesis.degree.name | MA | |
thesis.degree.level | thesis | |
thesis.degree.discipline | Sociology | |
thesis.degree.grantor | Vanderbilt University | |
local.embargo.terms | 2015-04-05 | |
local.embargo.lift | 2015-04-05 | |
dc.contributor.committeeChair | C. André Christie-Mizell |
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Electronic theses and dissertations of masters and doctoral students submitted to the Graduate School.