| Title |
Racial discrimination, socioeconomic position, and illicit drug use among US Blacks
|
|---|---|
| Published in |
Social Psychiatry and Psychiatric Epidemiology, January 2016
|
| DOI | 10.1007/s00127-016-1174-y |
| Pubmed ID | |
| Authors |
Hannah Carliner, Erin Delker, David S. Fink, Katherine M. Keyes, Deborah S. Hasin |
| Abstract |
We assessed the relationship of self-reported racial discrimination with illicit drug use among US Blacks, and whether this differed by socioeconomic position (SEP). Among 6587 Black participants in Wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (2004-2005), we used multiple logistic regression models to test the association between racial discrimination (measured on the 6-item Experiences of Discrimination scale) and past-year illicit drug use, and whether this differed by SEP. Racial discrimination was associated with past-year drug use [adjusted odds ratio (aOR) 2.32; 95 % confidence interval (CI) 1.70, 3.16] and with frequent drug use (aOR 1.91; 95 % CI 1.22, 2.99). For frequent illicit drug use, this relationship was stronger among higher SEP participants (aOR 3.55; 95 % CI 2.09, 6.02; p interaction < 0.01). The stronger association between racial discrimination and frequent illicit drug use among higher SEP Blacks suggests a complex interplay between disadvantaged and privileged statuses that merits further investigation. The finding of a significant difference by SEP highlights the importance of considering differences within heterogeneous race/ethnic groups when investigating health disparities. |
X Demographics
The data shown below were collected from the profiles of 9 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 44% |
| Chile | 1 | 11% |
| Brazil | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 2 | 22% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
| Unknown | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 122 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 16% |
| Student > Doctoral Student | 16 | 13% |
| Researcher | 12 | 10% |
| Student > Bachelor | 12 | 10% |
| Student > Master | 7 | 6% |
| Other | 17 | 14% |
| Unknown | 39 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 21 | 17% |
| Social Sciences | 18 | 15% |
| Medicine and Dentistry | 13 | 11% |
| Nursing and Health Professions | 11 | 9% |
| Business, Management and Accounting | 3 | 2% |
| Other | 5 | 4% |
| Unknown | 51 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 177. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 September 2021.
All research outputs
#219,084
of 24,814,419 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#28
of 2,673 outputs
Outputs of similar age
#3,909
of 407,499 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#3
of 32 outputs
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