Changes in Stress and other Mental Health Outcomes among Syrian Refugee Women from Before to During the COVID-19 Pandemic
Notice bibliographique
Résumé
Syrian refugee women in Canada face disproportionately high mental health challenges due to trauma, gender-based violence, social isolation, and systemic barriers to healthcare. These challenges are intensified by social determinants of health such as unemployment, limited social support, and cultural and language barriers. Research shows that refugee women are significantly more likely to experience depression, anxiety, and stress compared to Canadian-born individuals and other newcomer groups. The COVID-19 pandemic introduced new stressors and exacerbated existing ones, including increased isolation, economic instability, and reduced access to healthcare and social services. While some studies have explored refugee mental health broadly, there is limited data on how stress and related mental health outcomes changed specifically for Syrian refugee women during the pandemic. This study aims to fill that gap by analyzing longitudinal data from Syrian refugee women across Canada, comparing mental health outcomes before (Year 2) and during (Year 4) the COVID-19 pandemic. Using validated tools—the Perceived Stress Scale (PSS-10), the Patient Health Questionnaire (PHQ-9), and the RAND36 emotional well-being subscale—we will assess changes in stress, depression, and emotional health. We will also examine how social determinants such as financial hardship, social support, and healthcare access are associated with these changes. Our hypothesis is that mental health outcomes, particularly stress, worsened during the pandemic, and that these changes are influenced by key social and structural factors. By identifying risk and protective factors, this research aims to inform future interventions and support systems tailored to the needs of refugee women in Canada. Research Question: How did the COVID-19 pandemic affect the mental health of Syrian refugee women in Canada, and what factors were associated with these changes? Objectives Primary: 1. To examine changes in stress in Syrian refugee women before and during the COVID-19 pandemic. Secondary: Within the sample population and time frame: 1. A) To assess changes in depression before and during the COVID-19 pandemic B) To assess changes in mental well-being before and during the COVID-19 pandemic 2. To identify factors associated with changes in stress Exploratory: 1. To explore factors associated with changes in depression and overall mental health 2. To explore whether changes in stress, were different for women with and without specific social determinants of health, including access to essential resources, access to healthcare, and marital status
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».