Christy L. Erving

Dr. Christy L. Erving


Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 October 2018 in American Journal of Epidemiology
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Journal Article
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CEChristy L. Erving
Christy L. Erving
CTCourtney S Thomas
Courtney S Thomas
CFCleothia Frazier
Cleothia Frazier
This study assessed whether the Black-White mental health epidemiological paradox (i.e. Blacks’ lower or similar rates of mental disorder relative to Whites) extends across 12 lifetime and past-year psychiatric disorders and varies by gender. We used data from the National Comorbidity Survey-Replication (NCS-R) and National Survey of American Life (NSAL), 2001-2003 (N=4,584 African Americans; 6,668 non-Hispanic Whites). Results showed overwhelming evidence of the paradox across lifetime and past-year disorders for women and men. In addition, Blacks’ mental health advantage over Whites widened after adjusting for socioeconomic factors. There was one exception: Black women experienced higher risk of lifetime post-traumatic stress disorder (PTSD) compared to White women. These findings provide strong evidence for the “Black-White mental health paradox”; however, additional research is needed to understand Black women's heightened risk for post-traumatic stress disorder (PTSD).

9 December 2020 in Aging & Mental Health
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Journal Article
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CTCourtney S. Thomas Tobin
Courtney S. Thomas Tobin
CEChristy L. Erving
Christy L. Erving
THTaylor W. Hargrove
Taylor W. Hargrove
LSLacee A. Satcher
Lacee A. Satcher
The Black-White mental health epidemiological paradox (i.e. Black Americans’ lower or similar rates of mental disorder relative to Whites) characterizes the literature on race and mental health. Ye...

22 September 2021 in Journal of Health and Social Behavior
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PLPatricia Louie
Patricia Louie
LULaura Upenieks
Laura Upenieks
CEChristy L. Erving
Christy L. Erving
Courtney ThomasCourtney Thomas
Courtney Thomas
A central paradox in the mental health literature is the tendency for black Americans to report similar or better mental health than white Americans despite experiencing greater stress exposure. However, black Americans’ higher levels of certain coping resources may explain this finding. Using data from the Nashville Stress and Health Study (n = 1,186), we examine whether black Americans have higher levels of self-esteem, social support, religious attendance, and divine control than white Americans and whether these resources, in turn, explain the black–white paradox in mental health. In adjusted models, the black–white paradox holds for depressive symptoms and any DSM-IV disorder. Findings indicate that black Americans have higher levels of self-esteem, family social support, and religiosity than white Americans. Causal mediation techniques reveal that self-esteem has the largest effect in explaining black–white differences in depressive symptoms, whereas divine control has the largest effect in explaining differences in disorder.

17 November 2020 in Social Psychology Quarterly
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Courtney ThomasCourtney Thomas
Courtney Thomas
CEChristy L. Erving
Christy L. Erving
ABApurva Barve
Apurva Barve
Social stress theory predicts that psychosocial resources shape health inequalities but is less clear about the ways in which the availability of resources differs across racial and socioeconomic groups. Using data from the Nashville Stress and Health Study (N = 1,214), the present study assessed racial and socioeconomic status (SES) differences in mastery, self-esteem, and social support; evaluated the extent to which SES accounts for racial differences in resources; and considered the interactive roles of race and SES in shaping resources among Black and White adults. Results show Blacks have greater access to resources, but SES yields greater psychosocial benefits among Whites. Findings demonstrate that SES and race may jointly and independently shape access to resources. This study contributes to the broader literature on status distinctions in psychosocial resources, providing new insights into the ways in which race and SES shape access to these health-protective resources while also raising several questions for future research.

2 August 2021 in Sociology Compass
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Journal Article
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CEChristy L. Erving
Christy L. Erving
EPEvelyn J. Patterson
Evelyn J. Patterson
JBJacqueline Boone
Jacqueline Boone

11 August 2022 in Society and Mental Health
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Journal Article
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CEChristy L. Erving
Christy L. Erving
TWTiffany R. Williams
Tiffany R. Williams
WFWhitney Frierson
Whitney Frierson
MDMegan Derisse
Megan Derisse
The current study integrates stress process model and intersectionality framework to explore psychological effects of an intersectional stressor experienced by black women: gendered racial microaggressions (GRMs). Prior research suggests GRMS negatively influence black women’s mental health. However, it is unclear whether specific dimensions of GRMS are more or less impactful to mental health. This study investigates: To what extent do black women experience GRMS overall and its specific dimensions: Assumptions of Beauty and Sexual Objectification; Silenced and Marginalized; Strong Black Woman Stereotype; Angry Black Woman Stereotype? What is the relationship between GRMS and depressive symptoms? Do psychosocial resources (i.e., social support, self-esteem, mastery) mediate the association between GRMS and depressive symptoms? We use data from black women attending a historically Black university in the Southeast ( N = 202). We employed ordinary least squares regression analysis and performed mediation analysis. Study results revealed a positive association between GRMS and depressive symptoms; the Angry Black Woman Stereotype GRMS dimension had the most robust influence on depressive symptoms. Psychosocial resources partially mediated the relationship between GRMS and depressive symptoms. Study results suggest that sociological stress research underestimates the influence of stress on black women’s health when intersectional stressors like GRMS are not included in analytic models.