Prevalence of Current PTSD Symptoms Among a Sample of Black Individuals Aged 15 to 40 in Canada: The Major Role of Everyday Racial Discrimination, Racial Microaggresions, and Internalized Racism
Bibliographic record
Abstract
Objective Most Black individuals in Canada report having experienced racial discrimination. Although previous studies have shown that there is a strong relationship between racial discrimination and posttraumatic stress disorder (PTSD), no studies in Canada have documented this association among Black individuals. The present study documents (1) the prevalence of PTSD among Black individuals using data from the Black Communities Mental Health project and (2) risk factors associated with PTSD, including racial microaggressions, everyday racial discrimination, and internalized racism. Method A total of 860 participants (75.6% of women) aged 15 to 40 years old ( M = 24.96, SD = 6.29) completed questionnaires assessing PTSD, experience of traumatic events, racial microaggressions, everyday racial discrimination, and internalized racism. Results Findings showed that 95.1% of participants reported exposure to at least one traumatic event during their lifetime. In total, 67.11% of participants reported probable PTSD with no significant difference between men and women (68.2% and 67.8%, χ 2 = 0.132, p = 0.72). Participants born in Canada were more likely to experience significant PTSD symptoms, compared to those born abroad (70.92% and 53.14% , χ 2 = 19.69, p < 0.001). A multivariable linear regression model of PTSD symptoms was computed using sociodemographic variables and exposure to traumatic events as independent variables, which explained 25.9% of the variance. In addition to these variables, a second model included racial microaggressions, everyday racial microaggressions, and internalized racism, which explained 51.8% of the variance. The model showed that traumatic events ( b = 0.6; p = 0.02), racial microaggressions ( b = 0.5; p < 0.001), everyday discrimination ( b = 0.2; p = 0.03) and internalized racism ( b = 0.5; p < 0.001) were positively associated with PTSD symptoms. Conclusions This article highlights the detrimental consequences of racial discrimination against Black people in Canada. Prevention and mental health programs aimed at mitigating its consequences on the lives of Black people and other racialized populations must be implemented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".