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Record W4390991836 · doi:10.5195/ijms.2023.2357

Understanding Suicidal Behaviour and Distress in Young Muslim Canadians: A Qualitative Study

2023· article· en· W4390991836 on OpenAlexaffabout
Zakia Hussain, Zainab Furqan, Natasha Saunders, Nabiha Madda, Imaan Javeed, Paul Kurdyak, Ishrat Husain, Mark Sinyor, Juveria Zaheer

Bibliographic record

VenueInternational Journal of Medical Students · 2023
Typearticle
Languageen
FieldPsychology
TopicSuicide and Self-Harm Studies
Canadian institutionsHospital for Sick ChildrenUniversity Health NetworkSunnybrook Health Science CentreInstitute for Clinical Evaluative SciencesCentre for Addiction and Mental Health
Fundersnot available
KeywordsPsychologyQualitative researchMental healthDistressPsychiatryImmigrationClinical psychologyStressorNonprobability samplingDevelopmental psychologyMedicineSociologyPopulationPolitical science

Abstract

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BACKGROUND: Suicide is a major public health concern worldwide, including in Canada. The onset of major mental illnesses occurs during adolescence and young adulthood. Among this group, young Muslims in Canada may be particularly vulnerable due to unique stressors and emerging evidence indicating that Muslims in the U.S. report more suicide attempts than other religious groups. To our knowledge, no prior study has undertaken an in-depth exploration of the lived experiences of Muslim young adults who have attempted suicide. This study aims to broaden our understanding of how Muslim young adults experience and understand suicidal behavior by exploring narratives of distress and help-seeking, the meanings of suicidal behavior, the impact of immigration/resettlement, discrimination, Islamophobia, and the role of negotiating multiple religious, cultural, and gender identities. METHODS: This study is currently in progress. We are recruiting approximately 25-30 Muslim youth between the ages of 15-24 who have experienced suicidal behavior with any intent to die, as reported by the participants themselves, within the Greater Toronto Area (GTA). Exclusion criteria include (1) active substance intoxication or withdrawal, (2) current admission to a psychiatric facility, and (3) low levels of intellectual functioning or a history of neurological impairment. We are conducting heterogeneous purposive sampling to ensure that our sample includes diversity in terms of gender, age, countries of origin, and first and second-generation youth. Recruitment will end when data saturation is reached. Each participant will take part in a semi-structured qualitative interview. The interview explores family and social contacts, immigration/acculturation experiences, gender and cultural roles, and views on religion. Data is being transcribed and analyzed in N-Vivo 12 software using constructivist grounded principles entailing simultaneous collection and analysis, inductive construction of abstract categories explaining social processes, sampling and categorical refinement through iterative analysis, and integration of categories into a theoretical framework. RESULTS: Preliminary data analysis is in progress based on participants (n=15) recruited thus far. Emerging themes in relation to the causes of suicidality include isolation and an inability to cope with multiple stressors, such as family conflict and physical illness. Religion has a varied effect on suicidality, ranging from minimal to strong influence and from being protective to triggering suicidality. Regarding barriers to care, emerging themes included fear of invalidation, Islamophobia, and the lack of cultural safety within the healthcare system. Notably, youth appear to have a different explanatory model for mental illness compared to their family/community. CONCLUSION: This is the first qualitative study examining the experiences of Canadian Muslim youth who have experienced suicidal behavior. Our findings will help elucidate the unique stressors and protective factors that influence suicide and suicidal behavior for Canadian Muslim youth. Understanding patterns of distress and barriers to care through qualitative analysis will provide critical context to ultimately develop appropriate and effective screening, service provision, and suicide prevention strategies.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.233
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.130
GPT teacher head0.476
Teacher spread0.346 · 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

Citations0
Published2023
Admission routes2
Has abstractyes

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