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Record W4366242049 · doi:10.1111/jan.15673

Racism as a social determinant of health: Link to school‐related psychosocial stressors in a population‐based sample of African adolescents in Canada

2023· article· en· W4366242049 on OpenAlexafffundabout
Helen Uche Okoye, Emmanuela Ojukwu, Mauricio Coronel Villalobos, Elizabeth Saewyc

Bibliographic record

VenueJournal of Advanced Nursing · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of British Columbia
FundersSchool of Nursing, University of British Columbia
KeywordsPsychosocialRacismStressorPopulationEthnic groupPsychologyHarassmentMedicineClinical psychologySocial psychologyPsychiatryEnvironmental healthSociologyGender studies

Abstract

fetched live from OpenAlex

BACKGROUND: Racism is a social determinant of health that links to the health and well-being of racial/ethnic marginalized populations. However, perceived racism among African Canadian adolescents has not been adequately addressed, especially the link between racism and psychosocial stressors in school settings. AIM: The aim of the current study was to assess racism and the link to school-related psychosocial stressors in a population-based sample of African Canadian adolescents. DESIGN: Secondary analysis of the population-based 2018 British Columbia Adolescent Health Survey dataset. METHODS: Logistic regression and generalized linear models tested the link between racism and psychosocial stressors among African Canadian adolescents (n = 942), adjusting for sociodemographic factors. RESULTS/FINDINGS: More than 38% of the adolescents reported racism in the year preceding the survey. Regardless of gender and birthplace, and controlling for covariates, those who experienced racism were significantly more likely to report peer victimization, which includes teasing, social exclusion, cyberbullying and sexual harassment, and they felt less safe and connected to their schools compared to those who did not experience racism. With gender and birthplace differences, those who reported racism had higher odds of having been physically assaulted, stayed away from school, reported negative emotional responses and used avoidant behaviours to evade racism. CONCLUSION: African Canadian adolescents are a visible racialized ethnic group in British Columbia, who are at heightened risk of racism and the associated psychosocial stressors. IMPACT: These findings demonstrate the influences of racism on psychosocial stressors and related emotional responses among African Canadian adolescents. Nurses and other healthcare providers should be cognizant of racism and the psychological impacts when providing care to "at-risk" populations. Promoting positive and inclusive school climates and addressing racism at all levels of the society will foster better social integration, as well as improve the health and academic achievement of African Canadian adolescents. PATIENT OR PUBLIC CONTRIBUTION: We presented the research and preliminary results of the data analysis to the African community (parents and adolescents who self-identify as African). The African community who attended the gathering corroborated the link between racism and health and reiterated that addressing these psychosocial stressors can promote adolescent health and well-being. The attendees accepted all the variables that we included in the analysis. However, they emphasized the need for more African representation among school staff and teachers to foster trust, feelings of safety and connectedness, and to promote African students' academic achievement and well-being. They stressed the need to train and build the capacities of the school staff and teachers so that they can assist students regardless of race. They emphasized the need to promote cultural awareness and cultural sensitivity among all healthcare providers. We included the recommendations in the appropriate sections of the manuscript.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.743
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.039
GPT teacher head0.413
Teacher spread0.373 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2023
Admission routes3
Has abstractyes

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